Data-Centric Structural Health Monitoring : : Mechanical, Aerospace and Complex Infrastructure Systems / / ed. by Mohammad Noori, Fuh-Gwo Yuan, Ehsan Noroozinejad Farsangi.

• Superior document: Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1
• MitwirkendeR: Behtani, A.,; Benaissa, B.,; Bogdanovic, Aleksandra,; Bojadjieva, Julijana,; Bousfield, Liam,; Corigliano, Alberto,; Demian, Peter,; Edip, Kemal,; Filipovski, Dejan,; Fujita, Kohei,; Gharehbaghi, Vahidreza,; Ghazvineh, Shahin,; Ghiasi, Ramin,; Gjorgjeska, Irena,; Gordan, Meisam,; Gupta, Saurabh,; Güneyisi, Erhan,; Hosseini Lavasani, Seyed Hossein,; Hu, Zhen,; Ivanovski, Dejan,; Kahouadji, A.,; Karimi Pour, Arash,; Khatir, T.,; Kitanovski, Toni,; Kılınç, Cemre,; Malekjafarian, Abdollah,; Manojlovski, Filip,; Manzoni, Andrea,; Mariani, Stefano,; Markovski, Igor,; McCrum, Daniel,; Mete Güneyisi, Esra,; Nair, Syam,; Nakata, Shun,; Naumovski, Nikola,; Noori, M.,; Noori, Mohammad,; Noroozinejad Farsangi, Ehsan,; Nouri, Gholamreza,; Popovska, Angela,; Rakicevic, Zoran,; Rosafalco, Luca,; Sheshov, Vlatko,; Shoklarovski, Antonio,; Slimani, M.,; Takewaki, Izuru,; Tiachacht, S.,; Todd, Michael D.,; Tokbolat, Serik,; Torzoni, Matteo,; Vega, Manuel A.,; Wu, Zihan,; Zeng, Jice,; İpek, Süleyman,
• HerausgeberIn: Farsangi, Ehsan Noroozinejad,; Noori, Mohammad,; Yuan, Fuh-Gwo,
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2023]; ©2023
• Year of Publication: 2023
• Language: English
• Series: Data-Centric Engineering ,
• Physical Description: 1 online resource (X, 263 p.)

This book introduces the latest developments in data-centric engineering, including different artificial intelligence and machine learning approaches, as well as their wide range of applications for long-term monitoring and health assessment of mechanical, aerospace and complex infrastructure system...

Table of Contents

• Frontmatter
• Preface
• Contents
• Editors’ short biography
• 1 Seismic site investigation and structural amplification based on geotechnical and structural health monitoring
• 2 Impact of industry 4.0 technologies on structural health monitoring
• 3 Health monitoring of recycled aggregates-reinforced concrete beams retrofitted by concrete jacket using piezoelectric transducers
• 4 Identification of critical response of bilinear-hysteretic SDOF model with tuned inertial mass damper under long-duration ground motion through internal simulation monitoring
• 5 Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors
• 6 Structural health monitoring of steel plates using modified modal strain energy indicator and optimization algorithms
• 7 Vibration-based damage detection using a novel hybrid CNN-SVM approach
• 8 Fast probabilistic damage detection using inverse surrogate models
• 9 Remote sensing techniques for post-disaster infrastructure health monitoring
• 10 Recent developments in the building information modeling-based programs used for structural and architectural purposes
• 11 Evaluating the current state of digitalisation of the UK construction industry
• Index