Uncertainty in Mechanical Engineering : : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021.
Saved in:
Superior document: | Lecture Notes in Mechanical Engineering Series |
---|---|
: | |
TeilnehmendeR: | |
Place / Publishing House: | Cham : : Springer International Publishing AG,, 2021. ©2021. |
Year of Publication: | 2021 |
Edition: | 1st ed. |
Language: | English |
Series: | Lecture Notes in Mechanical Engineering Series
|
Online Access: | |
Physical Description: | 1 online resource (313 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
5006631291 |
---|---|
ctrlnum |
(MiAaPQ)5006631291 (Au-PeEL)EBL6631291 (OCoLC)1255184124 |
collection |
bib_alma |
record_format |
marc |
spelling |
Pelz, Peter F. Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. 1st ed. Cham : Springer International Publishing AG, 2021. ©2021. 1 online resource (313 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Lecture Notes in Mechanical Engineering Series Intro -- Preface -- Committees -- Local Scientific Committee -- International Scientific Committee -- Local Organizing Committee -- Contents -- Mastering Uncertainty by Digitalization -- Ontology-Based Calculation of Complexity Metrics for Components in CAD Systems -- 1 Introduction -- 2 Related Work -- 3 Concept -- 3.1 Ontologies -- 3.2 Metrics for Individuals -- 3.3 Metrics for Relations -- 3.4 Metrics for the Complicatedness -- 3.5 Examples -- 3.6 Fusion of the Metrics -- 4 Conclusions -- References -- Towards CAD-Based Mathematical Optimization for Additive Manufacturing - Designing Forming Tools for Tool-Bound Bending -- 1 Introduction -- 2 Mathematical Optimization and the Application to a Segmented Blank Holder -- 3 CAD-Based Mathematical Optimization -- 4 Finite Element Analysis and Shape Optimization -- 5 Conclusion and Outlook -- References -- Development of an Annotation Schema for the Identification of Semantic Uncertainty in DIN Standards -- 1 Introduction -- 2 Meaning, Knowledge, and Uncertainty -- 3 Taxonomy of Uncertainty -- 4 Information System -- 5 Conclusion and Outlook -- References -- Mastering Model Uncertainty by Transfer from Virtual to Real System -- 1 Introduction -- 2 Hardware-in-the-Loop Test Rig with Time Delay -- 2.1 HiL Stability -- 2.2 Time Delay Compensation Problems for Model Validation -- 3 Quarter Car Test Rig -- 3.1 FDVA Results in the Quarter Car Test Rig -- 4 Conclusion -- References -- Resilience -- Potentials and Challenges of Resilience as a Paradigm for Designing Technical Systems -- 1 Introduction -- 2 Overview of Resilience Concepts -- 3 Our Approach-Definition, Resilience Functions and Metrics -- 4 Design of Resilient Technical Systems -- 4.1 Practical Implications -- 4.2 Example Systems -- 5 Challenges and Potentials -- 5.1 Challenges -- 5.2 Potentials -- 6 Conclusion -- References. Modelling of Resilient Coping Strategies within the Framework of the Resilience Design Methodology for Load-Carrying Systems in Mechanical Engineering -- 1 Introduction -- 2 Fundamentals -- 2.1 Resilience -- 2.2 Vulnerability -- 2.3 Functional Structure Modelling -- 3 Research Question -- 4 Modelling Resilient System Structures -- 4.1 General and Basic Resilient Coping Strategies -- 4.2 Modelling of Adaptivity for Resilient System Coping Strategies -- 5 Example of by-wire Car Brake System -- 6 Summary and Conclusions -- References -- Validation of an Optimized Resilient Water Supply System -- 1 Introduction -- 2 Test Rig -- 3 Mathematical Optimization Model -- 4 Results and Validation -- 5 Conclusion -- References -- Comparability of Water Infrastructure Resilience of Different Urban Structures -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Resilience Assessment -- 3.2 Comparability of Resilience -- 3.3 Real-World Sample WDSs -- 4 Results -- 5 Discussion -- References -- Uncertainty in Production -- Dealing with Uncertainties in Fatigue Strength Using Deep Rolling -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussions -- 4 Conclusions and Recommendations -- References -- Investigation on Tool Deflection During Tapping -- 1 Introduction -- 2 Effect of Tapping Tool Deflection on Thread Geometry -- 3 Model for Determining Tool Deflection During Tapping -- 3.1 Model Description -- 3.2 Model Calibration -- 3.3 Experimental Model Validation -- 4 Model Framework -- 5 Summary and Outlook -- References -- How to Predict the Product Reliability Confidently and Fast with a Minimum Number of Samples in the Wöhler Test -- 1 Introduction -- 2 Results -- 3 General Structure of Lifetime Models -- 4 Proposal for an Efficient Test Procedure for the Determination of Wöhler Curves. 4.1 Research on the Test Conduction of Wöhler Tests -- 4.2 Prior Knowledge of the Wöhler Curve Parameters -- 4.3 Derivation of an Efficient Test Conduction -- 5 Example of Increasing the Efficiency of Costs and Time When Conducting Wöhler Tests -- 5.1 Data Basis -- 5.2 Evaluation Taking Prior Knowledge into Account -- 5.3 Concluions -- 6 Outlook -- References -- Tuning and Emulation of Mechanical Characteristics - Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing -- 1 Introduction -- 1.1 Uncertainties in Early Phases of the Product Development -- 1.2 Smart Dynamic Testing -- 2 Active Dynamic Stiffness Emulation by the Mechanical Hardware-in-the-Loop Approach -- 2.1 The Mechanical Hardware-in-the-Loop (mHIL) System -- 2.2 Test Setup and Test Cases -- 2.3 Test Results -- 3 Discussion -- 4 Conclusion -- References -- Identifying and Mastering Legal Uncertainty Concerning Autonomous Systems -- 1 Product Compliance -- 2 Categories of Legal Uncertainty -- 2.1 Legal Framework Is Applicable -- 2.2 Legal Framework Is not Applicable: True Legal Uncertainty -- 3 Solutions -- 3.1 Product Compliance Management System -- 3.2 Risk-Based New Regulation for Artificial Intelligence -- 4 Conclusions -- References -- Uncertainty Quantification -- Identification of Imprecision in Data Using -Contamination Advanced Uncertainty Model -- 1 Introduction -- 1.1 Literature Status and History -- 2 Uncertainty -- 2.1 Interpretation of Lower and Upper Previsions -- 2.2 Classification of Uncertainty -- 2.3 Probability Under Different Conditions-Travelling to Work -- 2.4 Probability Under Different Conditions-Diagnosis and Treatment -- 2.5 Probability Under Different Conditions-Clutch Design -- 3 -Contamination Model -- 3.1 Definition -- 3.2 Rationale -- 3.3 Imprecision Identification-Method I. 3.4 Imprecision Identification-Method II -- 4 Numerical Example -- 4.1 Chocolate Production Problem -- 4.2 Clutch Design Problem -- 5 Conclusion -- References -- Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameter Calibration of a Beam-Column Model -- 1 Introduction -- 2 System Description -- 3 Mathematical Model of the Active Beam-Column -- 4 Model Parameter Calibration Approaches -- 4.1 Forward Parameter Calibration -- 4.2 Bayesian Inference Parameter Calibration -- 4.3 Comparison of Calibration Results -- 5 Conclusion -- References -- Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair -- 1 Introduction -- 2 Evaluation of NVH Performance -- 3 Numerical Methods for Uncertainty Quantification -- 3.1 Gaussian Process Regression -- 3.2 Generalized Polynomial Chaos Expansion -- 3.3 Sampling Methods -- 3.4 Sensitivity Analysis -- 4 Application of UQ Methods in Transmission Design -- 4.1 Analysis with Two Uncertain Parameters -- 4.2 Analysis with Five Uncertain Parameters -- 5 Conclusion -- References -- Approach to Assess Basic Deterministic Data and Model Form Uncertaint in Passive and Active Vibration Isolation -- 1 Introduction to Data and Model Form Uncertainty -- 2 Analytical Model -- 2.1 Vibration Excitation and Responses -- 2.2 Time Domain -- 2.3 Frequency Domain -- 3 Experimental Test Setup -- 4 Experimental Models -- 4.1 Excitation -- 4.2 Stiffness -- 4.3 Damping -- 4.4 Frequency Response Estimation and Coherence -- 5 Deterministic Uncertainty Measures -- 5.1 Measurement and Data Uncertainty -- 5.2 Model Form Uncertainty -- 6 Conclusion -- References -- Reconstructing Stress Resultants in Wind Turbine Towers Based on Strain Measurements -- 1 Introduction -- 2 Modelling Uncertainty in Strain Measurements -- 2.1 Prior Probabilistic Model of the Measurement Uncertainty. 2.2 Bayesian Updating of the Measurement Uncertainty -- 3 Reconstructing Stress Resultants in Wind Turbine Towers -- 3.1 Inverse Mechanical Model (Relating a Strain State to Stress Resultants) -- 3.2 Probabilistic Inverse Mechanical Model -- 4 Numerical Example -- 5 Summary and Concluding Remarks -- References -- Mastering Uncertain Operating Conditions in the Development of Complex Machine Elements by Validation Under Dynamic Superimposed Operating Conditions -- 1 Introduction -- 2 Approach -- 2.1 Model Representation - Bringing the Application to the Laboratory -- 2.2 Paraffin Wax Phase Change Actuators for Detuning -- 2.3 Evaluation of Detuned Behavior -- 2.4 Backlash Free High-Load Bearing -- 2.5 Test Bench -- 2.6 Evaluation via AI -- 3 Application -- 3.1 Test Procedure -- 3.2 Exemplary Results -- 4 Conclusion -- References -- On Uncertainty, Decision Values and Innovation -- 1 Introduction -- 2 Decision Analytical Formulation -- 3 Decision Value and Technology Readiness -- 4 Decision Value Forecasting -- 4.1 Exemplary Study of Decision Value Forecasting -- 5 Summary and Conclusions -- References -- Assessment of Model Uncertainty in the Prediction of the Vibroacoustic Behavior of a Rectangular Plate by Means of Bayesian Inference -- 1 Introduction -- 2 Experimental and Finite Element Models -- 3 Probabilistic Parameter Calibration by Means of Bayesian Inference -- 4 Calibration Results and Assessment of the Model Uncertainty -- 5 Conclusions -- References -- Optimization Under Uncertainty -- Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss -- 1 Introduction -- 2 Model Equations of Transient Linear Elasticity and Their Discretization -- 3 Lamé-Parameter Estimation and the Optimal Experimental Design Problem -- 3.1 Derivative and Adjoint Computation -- 3.2 Computational Remarks. 4 Detection of Uncertainty in Dynamic Models. Description based on publisher supplied metadata and other sources. Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. Electronic books. Groche, Peter. Print version: Pelz, Peter F. Uncertainty in Mechanical Engineering Cham : Springer International Publishing AG,c2021 9783030772550 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6631291 Click to View |
language |
English |
format |
eBook |
author |
Pelz, Peter F. |
spellingShingle |
Pelz, Peter F. Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. Lecture Notes in Mechanical Engineering Series Intro -- Preface -- Committees -- Local Scientific Committee -- International Scientific Committee -- Local Organizing Committee -- Contents -- Mastering Uncertainty by Digitalization -- Ontology-Based Calculation of Complexity Metrics for Components in CAD Systems -- 1 Introduction -- 2 Related Work -- 3 Concept -- 3.1 Ontologies -- 3.2 Metrics for Individuals -- 3.3 Metrics for Relations -- 3.4 Metrics for the Complicatedness -- 3.5 Examples -- 3.6 Fusion of the Metrics -- 4 Conclusions -- References -- Towards CAD-Based Mathematical Optimization for Additive Manufacturing - Designing Forming Tools for Tool-Bound Bending -- 1 Introduction -- 2 Mathematical Optimization and the Application to a Segmented Blank Holder -- 3 CAD-Based Mathematical Optimization -- 4 Finite Element Analysis and Shape Optimization -- 5 Conclusion and Outlook -- References -- Development of an Annotation Schema for the Identification of Semantic Uncertainty in DIN Standards -- 1 Introduction -- 2 Meaning, Knowledge, and Uncertainty -- 3 Taxonomy of Uncertainty -- 4 Information System -- 5 Conclusion and Outlook -- References -- Mastering Model Uncertainty by Transfer from Virtual to Real System -- 1 Introduction -- 2 Hardware-in-the-Loop Test Rig with Time Delay -- 2.1 HiL Stability -- 2.2 Time Delay Compensation Problems for Model Validation -- 3 Quarter Car Test Rig -- 3.1 FDVA Results in the Quarter Car Test Rig -- 4 Conclusion -- References -- Resilience -- Potentials and Challenges of Resilience as a Paradigm for Designing Technical Systems -- 1 Introduction -- 2 Overview of Resilience Concepts -- 3 Our Approach-Definition, Resilience Functions and Metrics -- 4 Design of Resilient Technical Systems -- 4.1 Practical Implications -- 4.2 Example Systems -- 5 Challenges and Potentials -- 5.1 Challenges -- 5.2 Potentials -- 6 Conclusion -- References. Modelling of Resilient Coping Strategies within the Framework of the Resilience Design Methodology for Load-Carrying Systems in Mechanical Engineering -- 1 Introduction -- 2 Fundamentals -- 2.1 Resilience -- 2.2 Vulnerability -- 2.3 Functional Structure Modelling -- 3 Research Question -- 4 Modelling Resilient System Structures -- 4.1 General and Basic Resilient Coping Strategies -- 4.2 Modelling of Adaptivity for Resilient System Coping Strategies -- 5 Example of by-wire Car Brake System -- 6 Summary and Conclusions -- References -- Validation of an Optimized Resilient Water Supply System -- 1 Introduction -- 2 Test Rig -- 3 Mathematical Optimization Model -- 4 Results and Validation -- 5 Conclusion -- References -- Comparability of Water Infrastructure Resilience of Different Urban Structures -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Resilience Assessment -- 3.2 Comparability of Resilience -- 3.3 Real-World Sample WDSs -- 4 Results -- 5 Discussion -- References -- Uncertainty in Production -- Dealing with Uncertainties in Fatigue Strength Using Deep Rolling -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussions -- 4 Conclusions and Recommendations -- References -- Investigation on Tool Deflection During Tapping -- 1 Introduction -- 2 Effect of Tapping Tool Deflection on Thread Geometry -- 3 Model for Determining Tool Deflection During Tapping -- 3.1 Model Description -- 3.2 Model Calibration -- 3.3 Experimental Model Validation -- 4 Model Framework -- 5 Summary and Outlook -- References -- How to Predict the Product Reliability Confidently and Fast with a Minimum Number of Samples in the Wöhler Test -- 1 Introduction -- 2 Results -- 3 General Structure of Lifetime Models -- 4 Proposal for an Efficient Test Procedure for the Determination of Wöhler Curves. 4.1 Research on the Test Conduction of Wöhler Tests -- 4.2 Prior Knowledge of the Wöhler Curve Parameters -- 4.3 Derivation of an Efficient Test Conduction -- 5 Example of Increasing the Efficiency of Costs and Time When Conducting Wöhler Tests -- 5.1 Data Basis -- 5.2 Evaluation Taking Prior Knowledge into Account -- 5.3 Concluions -- 6 Outlook -- References -- Tuning and Emulation of Mechanical Characteristics - Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing -- 1 Introduction -- 1.1 Uncertainties in Early Phases of the Product Development -- 1.2 Smart Dynamic Testing -- 2 Active Dynamic Stiffness Emulation by the Mechanical Hardware-in-the-Loop Approach -- 2.1 The Mechanical Hardware-in-the-Loop (mHIL) System -- 2.2 Test Setup and Test Cases -- 2.3 Test Results -- 3 Discussion -- 4 Conclusion -- References -- Identifying and Mastering Legal Uncertainty Concerning Autonomous Systems -- 1 Product Compliance -- 2 Categories of Legal Uncertainty -- 2.1 Legal Framework Is Applicable -- 2.2 Legal Framework Is not Applicable: True Legal Uncertainty -- 3 Solutions -- 3.1 Product Compliance Management System -- 3.2 Risk-Based New Regulation for Artificial Intelligence -- 4 Conclusions -- References -- Uncertainty Quantification -- Identification of Imprecision in Data Using -Contamination Advanced Uncertainty Model -- 1 Introduction -- 1.1 Literature Status and History -- 2 Uncertainty -- 2.1 Interpretation of Lower and Upper Previsions -- 2.2 Classification of Uncertainty -- 2.3 Probability Under Different Conditions-Travelling to Work -- 2.4 Probability Under Different Conditions-Diagnosis and Treatment -- 2.5 Probability Under Different Conditions-Clutch Design -- 3 -Contamination Model -- 3.1 Definition -- 3.2 Rationale -- 3.3 Imprecision Identification-Method I. 3.4 Imprecision Identification-Method II -- 4 Numerical Example -- 4.1 Chocolate Production Problem -- 4.2 Clutch Design Problem -- 5 Conclusion -- References -- Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameter Calibration of a Beam-Column Model -- 1 Introduction -- 2 System Description -- 3 Mathematical Model of the Active Beam-Column -- 4 Model Parameter Calibration Approaches -- 4.1 Forward Parameter Calibration -- 4.2 Bayesian Inference Parameter Calibration -- 4.3 Comparison of Calibration Results -- 5 Conclusion -- References -- Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair -- 1 Introduction -- 2 Evaluation of NVH Performance -- 3 Numerical Methods for Uncertainty Quantification -- 3.1 Gaussian Process Regression -- 3.2 Generalized Polynomial Chaos Expansion -- 3.3 Sampling Methods -- 3.4 Sensitivity Analysis -- 4 Application of UQ Methods in Transmission Design -- 4.1 Analysis with Two Uncertain Parameters -- 4.2 Analysis with Five Uncertain Parameters -- 5 Conclusion -- References -- Approach to Assess Basic Deterministic Data and Model Form Uncertaint in Passive and Active Vibration Isolation -- 1 Introduction to Data and Model Form Uncertainty -- 2 Analytical Model -- 2.1 Vibration Excitation and Responses -- 2.2 Time Domain -- 2.3 Frequency Domain -- 3 Experimental Test Setup -- 4 Experimental Models -- 4.1 Excitation -- 4.2 Stiffness -- 4.3 Damping -- 4.4 Frequency Response Estimation and Coherence -- 5 Deterministic Uncertainty Measures -- 5.1 Measurement and Data Uncertainty -- 5.2 Model Form Uncertainty -- 6 Conclusion -- References -- Reconstructing Stress Resultants in Wind Turbine Towers Based on Strain Measurements -- 1 Introduction -- 2 Modelling Uncertainty in Strain Measurements -- 2.1 Prior Probabilistic Model of the Measurement Uncertainty. 2.2 Bayesian Updating of the Measurement Uncertainty -- 3 Reconstructing Stress Resultants in Wind Turbine Towers -- 3.1 Inverse Mechanical Model (Relating a Strain State to Stress Resultants) -- 3.2 Probabilistic Inverse Mechanical Model -- 4 Numerical Example -- 5 Summary and Concluding Remarks -- References -- Mastering Uncertain Operating Conditions in the Development of Complex Machine Elements by Validation Under Dynamic Superimposed Operating Conditions -- 1 Introduction -- 2 Approach -- 2.1 Model Representation - Bringing the Application to the Laboratory -- 2.2 Paraffin Wax Phase Change Actuators for Detuning -- 2.3 Evaluation of Detuned Behavior -- 2.4 Backlash Free High-Load Bearing -- 2.5 Test Bench -- 2.6 Evaluation via AI -- 3 Application -- 3.1 Test Procedure -- 3.2 Exemplary Results -- 4 Conclusion -- References -- On Uncertainty, Decision Values and Innovation -- 1 Introduction -- 2 Decision Analytical Formulation -- 3 Decision Value and Technology Readiness -- 4 Decision Value Forecasting -- 4.1 Exemplary Study of Decision Value Forecasting -- 5 Summary and Conclusions -- References -- Assessment of Model Uncertainty in the Prediction of the Vibroacoustic Behavior of a Rectangular Plate by Means of Bayesian Inference -- 1 Introduction -- 2 Experimental and Finite Element Models -- 3 Probabilistic Parameter Calibration by Means of Bayesian Inference -- 4 Calibration Results and Assessment of the Model Uncertainty -- 5 Conclusions -- References -- Optimization Under Uncertainty -- Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss -- 1 Introduction -- 2 Model Equations of Transient Linear Elasticity and Their Discretization -- 3 Lamé-Parameter Estimation and the Optimal Experimental Design Problem -- 3.1 Derivative and Adjoint Computation -- 3.2 Computational Remarks. 4 Detection of Uncertainty in Dynamic Models. |
author_facet |
Pelz, Peter F. Groche, Peter. |
author_variant |
p f p pf pfp |
author2 |
Groche, Peter. |
author2_variant |
p g pg |
author2_role |
TeilnehmendeR |
author_sort |
Pelz, Peter F. |
title |
Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. |
title_sub |
Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. |
title_full |
Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. |
title_fullStr |
Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. |
title_full_unstemmed |
Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. |
title_auth |
Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. |
title_new |
Uncertainty in Mechanical Engineering : |
title_sort |
uncertainty in mechanical engineering : proceedings of the 4th international conference on uncertainty in mechanical engineering (icume 2021), june 7-8 2021. |
series |
Lecture Notes in Mechanical Engineering Series |
series2 |
Lecture Notes in Mechanical Engineering Series |
publisher |
Springer International Publishing AG, |
publishDate |
2021 |
physical |
1 online resource (313 pages) |
edition |
1st ed. |
contents |
Intro -- Preface -- Committees -- Local Scientific Committee -- International Scientific Committee -- Local Organizing Committee -- Contents -- Mastering Uncertainty by Digitalization -- Ontology-Based Calculation of Complexity Metrics for Components in CAD Systems -- 1 Introduction -- 2 Related Work -- 3 Concept -- 3.1 Ontologies -- 3.2 Metrics for Individuals -- 3.3 Metrics for Relations -- 3.4 Metrics for the Complicatedness -- 3.5 Examples -- 3.6 Fusion of the Metrics -- 4 Conclusions -- References -- Towards CAD-Based Mathematical Optimization for Additive Manufacturing - Designing Forming Tools for Tool-Bound Bending -- 1 Introduction -- 2 Mathematical Optimization and the Application to a Segmented Blank Holder -- 3 CAD-Based Mathematical Optimization -- 4 Finite Element Analysis and Shape Optimization -- 5 Conclusion and Outlook -- References -- Development of an Annotation Schema for the Identification of Semantic Uncertainty in DIN Standards -- 1 Introduction -- 2 Meaning, Knowledge, and Uncertainty -- 3 Taxonomy of Uncertainty -- 4 Information System -- 5 Conclusion and Outlook -- References -- Mastering Model Uncertainty by Transfer from Virtual to Real System -- 1 Introduction -- 2 Hardware-in-the-Loop Test Rig with Time Delay -- 2.1 HiL Stability -- 2.2 Time Delay Compensation Problems for Model Validation -- 3 Quarter Car Test Rig -- 3.1 FDVA Results in the Quarter Car Test Rig -- 4 Conclusion -- References -- Resilience -- Potentials and Challenges of Resilience as a Paradigm for Designing Technical Systems -- 1 Introduction -- 2 Overview of Resilience Concepts -- 3 Our Approach-Definition, Resilience Functions and Metrics -- 4 Design of Resilient Technical Systems -- 4.1 Practical Implications -- 4.2 Example Systems -- 5 Challenges and Potentials -- 5.1 Challenges -- 5.2 Potentials -- 6 Conclusion -- References. Modelling of Resilient Coping Strategies within the Framework of the Resilience Design Methodology for Load-Carrying Systems in Mechanical Engineering -- 1 Introduction -- 2 Fundamentals -- 2.1 Resilience -- 2.2 Vulnerability -- 2.3 Functional Structure Modelling -- 3 Research Question -- 4 Modelling Resilient System Structures -- 4.1 General and Basic Resilient Coping Strategies -- 4.2 Modelling of Adaptivity for Resilient System Coping Strategies -- 5 Example of by-wire Car Brake System -- 6 Summary and Conclusions -- References -- Validation of an Optimized Resilient Water Supply System -- 1 Introduction -- 2 Test Rig -- 3 Mathematical Optimization Model -- 4 Results and Validation -- 5 Conclusion -- References -- Comparability of Water Infrastructure Resilience of Different Urban Structures -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Resilience Assessment -- 3.2 Comparability of Resilience -- 3.3 Real-World Sample WDSs -- 4 Results -- 5 Discussion -- References -- Uncertainty in Production -- Dealing with Uncertainties in Fatigue Strength Using Deep Rolling -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussions -- 4 Conclusions and Recommendations -- References -- Investigation on Tool Deflection During Tapping -- 1 Introduction -- 2 Effect of Tapping Tool Deflection on Thread Geometry -- 3 Model for Determining Tool Deflection During Tapping -- 3.1 Model Description -- 3.2 Model Calibration -- 3.3 Experimental Model Validation -- 4 Model Framework -- 5 Summary and Outlook -- References -- How to Predict the Product Reliability Confidently and Fast with a Minimum Number of Samples in the Wöhler Test -- 1 Introduction -- 2 Results -- 3 General Structure of Lifetime Models -- 4 Proposal for an Efficient Test Procedure for the Determination of Wöhler Curves. 4.1 Research on the Test Conduction of Wöhler Tests -- 4.2 Prior Knowledge of the Wöhler Curve Parameters -- 4.3 Derivation of an Efficient Test Conduction -- 5 Example of Increasing the Efficiency of Costs and Time When Conducting Wöhler Tests -- 5.1 Data Basis -- 5.2 Evaluation Taking Prior Knowledge into Account -- 5.3 Concluions -- 6 Outlook -- References -- Tuning and Emulation of Mechanical Characteristics - Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing -- 1 Introduction -- 1.1 Uncertainties in Early Phases of the Product Development -- 1.2 Smart Dynamic Testing -- 2 Active Dynamic Stiffness Emulation by the Mechanical Hardware-in-the-Loop Approach -- 2.1 The Mechanical Hardware-in-the-Loop (mHIL) System -- 2.2 Test Setup and Test Cases -- 2.3 Test Results -- 3 Discussion -- 4 Conclusion -- References -- Identifying and Mastering Legal Uncertainty Concerning Autonomous Systems -- 1 Product Compliance -- 2 Categories of Legal Uncertainty -- 2.1 Legal Framework Is Applicable -- 2.2 Legal Framework Is not Applicable: True Legal Uncertainty -- 3 Solutions -- 3.1 Product Compliance Management System -- 3.2 Risk-Based New Regulation for Artificial Intelligence -- 4 Conclusions -- References -- Uncertainty Quantification -- Identification of Imprecision in Data Using -Contamination Advanced Uncertainty Model -- 1 Introduction -- 1.1 Literature Status and History -- 2 Uncertainty -- 2.1 Interpretation of Lower and Upper Previsions -- 2.2 Classification of Uncertainty -- 2.3 Probability Under Different Conditions-Travelling to Work -- 2.4 Probability Under Different Conditions-Diagnosis and Treatment -- 2.5 Probability Under Different Conditions-Clutch Design -- 3 -Contamination Model -- 3.1 Definition -- 3.2 Rationale -- 3.3 Imprecision Identification-Method I. 3.4 Imprecision Identification-Method II -- 4 Numerical Example -- 4.1 Chocolate Production Problem -- 4.2 Clutch Design Problem -- 5 Conclusion -- References -- Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameter Calibration of a Beam-Column Model -- 1 Introduction -- 2 System Description -- 3 Mathematical Model of the Active Beam-Column -- 4 Model Parameter Calibration Approaches -- 4.1 Forward Parameter Calibration -- 4.2 Bayesian Inference Parameter Calibration -- 4.3 Comparison of Calibration Results -- 5 Conclusion -- References -- Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair -- 1 Introduction -- 2 Evaluation of NVH Performance -- 3 Numerical Methods for Uncertainty Quantification -- 3.1 Gaussian Process Regression -- 3.2 Generalized Polynomial Chaos Expansion -- 3.3 Sampling Methods -- 3.4 Sensitivity Analysis -- 4 Application of UQ Methods in Transmission Design -- 4.1 Analysis with Two Uncertain Parameters -- 4.2 Analysis with Five Uncertain Parameters -- 5 Conclusion -- References -- Approach to Assess Basic Deterministic Data and Model Form Uncertaint in Passive and Active Vibration Isolation -- 1 Introduction to Data and Model Form Uncertainty -- 2 Analytical Model -- 2.1 Vibration Excitation and Responses -- 2.2 Time Domain -- 2.3 Frequency Domain -- 3 Experimental Test Setup -- 4 Experimental Models -- 4.1 Excitation -- 4.2 Stiffness -- 4.3 Damping -- 4.4 Frequency Response Estimation and Coherence -- 5 Deterministic Uncertainty Measures -- 5.1 Measurement and Data Uncertainty -- 5.2 Model Form Uncertainty -- 6 Conclusion -- References -- Reconstructing Stress Resultants in Wind Turbine Towers Based on Strain Measurements -- 1 Introduction -- 2 Modelling Uncertainty in Strain Measurements -- 2.1 Prior Probabilistic Model of the Measurement Uncertainty. 2.2 Bayesian Updating of the Measurement Uncertainty -- 3 Reconstructing Stress Resultants in Wind Turbine Towers -- 3.1 Inverse Mechanical Model (Relating a Strain State to Stress Resultants) -- 3.2 Probabilistic Inverse Mechanical Model -- 4 Numerical Example -- 5 Summary and Concluding Remarks -- References -- Mastering Uncertain Operating Conditions in the Development of Complex Machine Elements by Validation Under Dynamic Superimposed Operating Conditions -- 1 Introduction -- 2 Approach -- 2.1 Model Representation - Bringing the Application to the Laboratory -- 2.2 Paraffin Wax Phase Change Actuators for Detuning -- 2.3 Evaluation of Detuned Behavior -- 2.4 Backlash Free High-Load Bearing -- 2.5 Test Bench -- 2.6 Evaluation via AI -- 3 Application -- 3.1 Test Procedure -- 3.2 Exemplary Results -- 4 Conclusion -- References -- On Uncertainty, Decision Values and Innovation -- 1 Introduction -- 2 Decision Analytical Formulation -- 3 Decision Value and Technology Readiness -- 4 Decision Value Forecasting -- 4.1 Exemplary Study of Decision Value Forecasting -- 5 Summary and Conclusions -- References -- Assessment of Model Uncertainty in the Prediction of the Vibroacoustic Behavior of a Rectangular Plate by Means of Bayesian Inference -- 1 Introduction -- 2 Experimental and Finite Element Models -- 3 Probabilistic Parameter Calibration by Means of Bayesian Inference -- 4 Calibration Results and Assessment of the Model Uncertainty -- 5 Conclusions -- References -- Optimization Under Uncertainty -- Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss -- 1 Introduction -- 2 Model Equations of Transient Linear Elasticity and Their Discretization -- 3 Lamé-Parameter Estimation and the Optimal Experimental Design Problem -- 3.1 Derivative and Adjoint Computation -- 3.2 Computational Remarks. 4 Detection of Uncertainty in Dynamic Models. |
isbn |
9783030772567 9783030772550 |
callnumber-first |
T - Technology |
callnumber-subject |
TA - General and Civil Engineering |
callnumber-label |
TA1-2040 |
callnumber-sort |
TA 11 42040 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6631291 |
illustrated |
Not Illustrated |
oclc_num |
1255184124 |
work_keys_str_mv |
AT pelzpeterf uncertaintyinmechanicalengineeringproceedingsofthe4thinternationalconferenceonuncertaintyinmechanicalengineeringicume2021june782021 AT grochepeter uncertaintyinmechanicalengineeringproceedingsofthe4thinternationalconferenceonuncertaintyinmechanicalengineeringicume2021june782021 |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5006631291 (Au-PeEL)EBL6631291 (OCoLC)1255184124 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Lecture Notes in Mechanical Engineering Series |
is_hierarchy_title |
Uncertainty in Mechanical Engineering : Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021. |
container_title |
Lecture Notes in Mechanical Engineering Series |
author2_original_writing_str_mv |
noLinkedField |
marc_error |
Info : MARC8 translation shorter than ISO-8859-1, choosing MARC8. --- [ 856 : z ] |
_version_ |
1792331058574786560 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>11603nam a22004693i 4500</leader><controlfield tag="001">5006631291</controlfield><controlfield tag="003">MiAaPQ</controlfield><controlfield tag="005">20240229073841.0</controlfield><controlfield tag="006">m o d | </controlfield><controlfield tag="007">cr cnu||||||||</controlfield><controlfield tag="008">240229s2021 xx o ||||0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783030772567</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9783030772550</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)5006631291</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL6631291</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1255184124</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">MiAaPQ</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">MiAaPQ</subfield><subfield code="d">MiAaPQ</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TA1-2040</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pelz, Peter F.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Uncertainty in Mechanical Engineering :</subfield><subfield code="b">Proceedings of the 4th International Conference on Uncertainty in Mechanical Engineering (ICUME 2021), June 7-8 2021.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1st ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cham :</subfield><subfield code="b">Springer International Publishing AG,</subfield><subfield code="c">2021.</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2021.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (313 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Lecture Notes in Mechanical Engineering Series</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Intro -- Preface -- Committees -- Local Scientific Committee -- International Scientific Committee -- Local Organizing Committee -- Contents -- Mastering Uncertainty by Digitalization -- Ontology-Based Calculation of Complexity Metrics for Components in CAD Systems -- 1 Introduction -- 2 Related Work -- 3 Concept -- 3.1 Ontologies -- 3.2 Metrics for Individuals -- 3.3 Metrics for Relations -- 3.4 Metrics for the Complicatedness -- 3.5 Examples -- 3.6 Fusion of the Metrics -- 4 Conclusions -- References -- Towards CAD-Based Mathematical Optimization for Additive Manufacturing - Designing Forming Tools for Tool-Bound Bending -- 1 Introduction -- 2 Mathematical Optimization and the Application to a Segmented Blank Holder -- 3 CAD-Based Mathematical Optimization -- 4 Finite Element Analysis and Shape Optimization -- 5 Conclusion and Outlook -- References -- Development of an Annotation Schema for the Identification of Semantic Uncertainty in DIN Standards -- 1 Introduction -- 2 Meaning, Knowledge, and Uncertainty -- 3 Taxonomy of Uncertainty -- 4 Information System -- 5 Conclusion and Outlook -- References -- Mastering Model Uncertainty by Transfer from Virtual to Real System -- 1 Introduction -- 2 Hardware-in-the-Loop Test Rig with Time Delay -- 2.1 HiL Stability -- 2.2 Time Delay Compensation Problems for Model Validation -- 3 Quarter Car Test Rig -- 3.1 FDVA Results in the Quarter Car Test Rig -- 4 Conclusion -- References -- Resilience -- Potentials and Challenges of Resilience as a Paradigm for Designing Technical Systems -- 1 Introduction -- 2 Overview of Resilience Concepts -- 3 Our Approach-Definition, Resilience Functions and Metrics -- 4 Design of Resilient Technical Systems -- 4.1 Practical Implications -- 4.2 Example Systems -- 5 Challenges and Potentials -- 5.1 Challenges -- 5.2 Potentials -- 6 Conclusion -- References.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Modelling of Resilient Coping Strategies within the Framework of the Resilience Design Methodology for Load-Carrying Systems in Mechanical Engineering -- 1 Introduction -- 2 Fundamentals -- 2.1 Resilience -- 2.2 Vulnerability -- 2.3 Functional Structure Modelling -- 3 Research Question -- 4 Modelling Resilient System Structures -- 4.1 General and Basic Resilient Coping Strategies -- 4.2 Modelling of Adaptivity for Resilient System Coping Strategies -- 5 Example of by-wire Car Brake System -- 6 Summary and Conclusions -- References -- Validation of an Optimized Resilient Water Supply System -- 1 Introduction -- 2 Test Rig -- 3 Mathematical Optimization Model -- 4 Results and Validation -- 5 Conclusion -- References -- Comparability of Water Infrastructure Resilience of Different Urban Structures -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Resilience Assessment -- 3.2 Comparability of Resilience -- 3.3 Real-World Sample WDSs -- 4 Results -- 5 Discussion -- References -- Uncertainty in Production -- Dealing with Uncertainties in Fatigue Strength Using Deep Rolling -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussions -- 4 Conclusions and Recommendations -- References -- Investigation on Tool Deflection During Tapping -- 1 Introduction -- 2 Effect of Tapping Tool Deflection on Thread Geometry -- 3 Model for Determining Tool Deflection During Tapping -- 3.1 Model Description -- 3.2 Model Calibration -- 3.3 Experimental Model Validation -- 4 Model Framework -- 5 Summary and Outlook -- References -- How to Predict the Product Reliability Confidently and Fast with a Minimum Number of Samples in the Wöhler Test -- 1 Introduction -- 2 Results -- 3 General Structure of Lifetime Models -- 4 Proposal for an Efficient Test Procedure for the Determination of Wöhler Curves.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4.1 Research on the Test Conduction of Wöhler Tests -- 4.2 Prior Knowledge of the Wöhler Curve Parameters -- 4.3 Derivation of an Efficient Test Conduction -- 5 Example of Increasing the Efficiency of Costs and Time When Conducting Wöhler Tests -- 5.1 Data Basis -- 5.2 Evaluation Taking Prior Knowledge into Account -- 5.3 Concluions -- 6 Outlook -- References -- Tuning and Emulation of Mechanical Characteristics - Tunable Mounts and a Mechanical Hardware-in-the-Loop Approach for More Efficient Research and Testing -- 1 Introduction -- 1.1 Uncertainties in Early Phases of the Product Development -- 1.2 Smart Dynamic Testing -- 2 Active Dynamic Stiffness Emulation by the Mechanical Hardware-in-the-Loop Approach -- 2.1 The Mechanical Hardware-in-the-Loop (mHIL) System -- 2.2 Test Setup and Test Cases -- 2.3 Test Results -- 3 Discussion -- 4 Conclusion -- References -- Identifying and Mastering Legal Uncertainty Concerning Autonomous Systems -- 1 Product Compliance -- 2 Categories of Legal Uncertainty -- 2.1 Legal Framework Is Applicable -- 2.2 Legal Framework Is not Applicable: True Legal Uncertainty -- 3 Solutions -- 3.1 Product Compliance Management System -- 3.2 Risk-Based New Regulation for Artificial Intelligence -- 4 Conclusions -- References -- Uncertainty Quantification -- Identification of Imprecision in Data Using -Contamination Advanced Uncertainty Model -- 1 Introduction -- 1.1 Literature Status and History -- 2 Uncertainty -- 2.1 Interpretation of Lower and Upper Previsions -- 2.2 Classification of Uncertainty -- 2.3 Probability Under Different Conditions-Travelling to Work -- 2.4 Probability Under Different Conditions-Diagnosis and Treatment -- 2.5 Probability Under Different Conditions-Clutch Design -- 3 -Contamination Model -- 3.1 Definition -- 3.2 Rationale -- 3.3 Imprecision Identification-Method I.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.4 Imprecision Identification-Method II -- 4 Numerical Example -- 4.1 Chocolate Production Problem -- 4.2 Clutch Design Problem -- 5 Conclusion -- References -- Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameter Calibration of a Beam-Column Model -- 1 Introduction -- 2 System Description -- 3 Mathematical Model of the Active Beam-Column -- 4 Model Parameter Calibration Approaches -- 4.1 Forward Parameter Calibration -- 4.2 Bayesian Inference Parameter Calibration -- 4.3 Comparison of Calibration Results -- 5 Conclusion -- References -- Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair -- 1 Introduction -- 2 Evaluation of NVH Performance -- 3 Numerical Methods for Uncertainty Quantification -- 3.1 Gaussian Process Regression -- 3.2 Generalized Polynomial Chaos Expansion -- 3.3 Sampling Methods -- 3.4 Sensitivity Analysis -- 4 Application of UQ Methods in Transmission Design -- 4.1 Analysis with Two Uncertain Parameters -- 4.2 Analysis with Five Uncertain Parameters -- 5 Conclusion -- References -- Approach to Assess Basic Deterministic Data and Model Form Uncertaint in Passive and Active Vibration Isolation -- 1 Introduction to Data and Model Form Uncertainty -- 2 Analytical Model -- 2.1 Vibration Excitation and Responses -- 2.2 Time Domain -- 2.3 Frequency Domain -- 3 Experimental Test Setup -- 4 Experimental Models -- 4.1 Excitation -- 4.2 Stiffness -- 4.3 Damping -- 4.4 Frequency Response Estimation and Coherence -- 5 Deterministic Uncertainty Measures -- 5.1 Measurement and Data Uncertainty -- 5.2 Model Form Uncertainty -- 6 Conclusion -- References -- Reconstructing Stress Resultants in Wind Turbine Towers Based on Strain Measurements -- 1 Introduction -- 2 Modelling Uncertainty in Strain Measurements -- 2.1 Prior Probabilistic Model of the Measurement Uncertainty.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">2.2 Bayesian Updating of the Measurement Uncertainty -- 3 Reconstructing Stress Resultants in Wind Turbine Towers -- 3.1 Inverse Mechanical Model (Relating a Strain State to Stress Resultants) -- 3.2 Probabilistic Inverse Mechanical Model -- 4 Numerical Example -- 5 Summary and Concluding Remarks -- References -- Mastering Uncertain Operating Conditions in the Development of Complex Machine Elements by Validation Under Dynamic Superimposed Operating Conditions -- 1 Introduction -- 2 Approach -- 2.1 Model Representation - Bringing the Application to the Laboratory -- 2.2 Paraffin Wax Phase Change Actuators for Detuning -- 2.3 Evaluation of Detuned Behavior -- 2.4 Backlash Free High-Load Bearing -- 2.5 Test Bench -- 2.6 Evaluation via AI -- 3 Application -- 3.1 Test Procedure -- 3.2 Exemplary Results -- 4 Conclusion -- References -- On Uncertainty, Decision Values and Innovation -- 1 Introduction -- 2 Decision Analytical Formulation -- 3 Decision Value and Technology Readiness -- 4 Decision Value Forecasting -- 4.1 Exemplary Study of Decision Value Forecasting -- 5 Summary and Conclusions -- References -- Assessment of Model Uncertainty in the Prediction of the Vibroacoustic Behavior of a Rectangular Plate by Means of Bayesian Inference -- 1 Introduction -- 2 Experimental and Finite Element Models -- 3 Probabilistic Parameter Calibration by Means of Bayesian Inference -- 4 Calibration Results and Assessment of the Model Uncertainty -- 5 Conclusions -- References -- Optimization Under Uncertainty -- Detection of Model Uncertainty in the Dynamic Linear-Elastic Model of Vibrations in a Truss -- 1 Introduction -- 2 Model Equations of Transient Linear Elasticity and Their Discretization -- 3 Lamé-Parameter Estimation and the Optimal Experimental Design Problem -- 3.1 Derivative and Adjoint Computation -- 3.2 Computational Remarks.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4 Detection of Uncertainty in Dynamic Models.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="590" ind1=" " ind2=" "><subfield code="a">Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. </subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Groche, Peter.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Pelz, Peter F.</subfield><subfield code="t">Uncertainty in Mechanical Engineering</subfield><subfield code="d">Cham : Springer International Publishing AG,c2021</subfield><subfield code="z">9783030772550</subfield></datafield><datafield tag="797" ind1="2" ind2=" "><subfield code="a">ProQuest (Firm)</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Lecture Notes in Mechanical Engineering Series</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=6631291</subfield><subfield code="z">Click to View</subfield></datafield></record></collection> |