Novel Approaches for Structural Health Monitoring
The thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of...
Saved in:
Sonstige: | |
---|---|
Year of Publication: | 2021 |
Language: | English |
Physical Description: | 1 electronic resource (344 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993546037004498 |
---|---|
ctrlnum |
(CKB)5400000000042296 (oapen)https://directory.doabooks.org/handle/20.500.12854/77001 (EXLCZ)995400000000042296 |
collection |
bib_alma |
record_format |
marc |
spelling |
Surace, Cecilia edt Novel Approaches for Structural Health Monitoring Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021 1 electronic resource (344 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier The thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of long-span bridges or wind farms, SHM has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, it is nowadays possible to rapidly and consistently evaluate the structural safety of industrial machines, modern concrete buildings, historical masonry complexes, etc., to test their capability and to serve their intended purpose. However, old unsolved problematics as well as new challenges exist. Furthermore, unprecedented conditions, such as stricter safety requirements and ageing civil infrastructure, pose new challenges for confrontation. Therefore, this Special Issue gathers the main contributions of academics and practitioners in civil, aerospace, and mechanical engineering to provide a common ground for structural health monitoring in dealing with old and new aspects of this ever-growing research field. English Technology: general issues bicssc dynamic characteristic GB-RAR super high-rise building displacement wheel flat real-time monitoring strain distribution characteristics multisensor array precise positioning noncontact remote sensing (NRS) optical flow algorithm structural health monitoring (SHM) uniaxial automatic cruise acquisition device noise robustness sensitivity analysis cross-modal strain energy damage detection subspace system identification data-driven stochastic subspace identification (SSI-DATA) covariance-driven stochastic subspace identification (SSI-COV) combined subspace system identification PRISMA vibration-based damage detection crack damage detection piezoelectric impedance piezoelectric admittance peak frequency Bayesian inference uncertainty quantification masonry structures seismic structural health monitoring Bouc-Wen model model calibration hysteretic system identification BOTDR CFRP sheet un-bonded position cover delamination interfacial de-bonding monitoring system pipeline health and structural integrity Particle Impact Damper adaptive-passive damping damping of vibrations experiments submerged floating tunnel deep neural network machine learning sensor optimization failure monitoring accuracy mooring line sigmoid function Adamax categorical cross-entropy bending test bridge "compression-softening" theory frequency inverse problem nondestructive testing (NDT) method prestressed concrete (PC) girder prestress force determination prestress loss vertical deflection measurement rail guided wave ultrasound broken rail detection rail diagnostics structural health monitoring non destructive testing shape sensing inverse Finite Element Method fiber optics full-field reconstruction Structural Health Monitoring extreme function theory non-destructive testing extreme value theory generalised extreme distribution 3-0365-2404-5 3-0365-2405-3 Surace, Cecilia oth |
language |
English |
format |
eBook |
author2 |
Surace, Cecilia |
author_facet |
Surace, Cecilia |
author2_variant |
c s cs |
author2_role |
Sonstige |
title |
Novel Approaches for Structural Health Monitoring |
spellingShingle |
Novel Approaches for Structural Health Monitoring |
title_full |
Novel Approaches for Structural Health Monitoring |
title_fullStr |
Novel Approaches for Structural Health Monitoring |
title_full_unstemmed |
Novel Approaches for Structural Health Monitoring |
title_auth |
Novel Approaches for Structural Health Monitoring |
title_new |
Novel Approaches for Structural Health Monitoring |
title_sort |
novel approaches for structural health monitoring |
publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
physical |
1 electronic resource (344 p.) |
isbn |
3-0365-2404-5 3-0365-2405-3 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT suracececilia novelapproachesforstructuralhealthmonitoring |
status_str |
n |
ids_txt_mv |
(CKB)5400000000042296 (oapen)https://directory.doabooks.org/handle/20.500.12854/77001 (EXLCZ)995400000000042296 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Novel Approaches for Structural Health Monitoring |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1796648768663191552 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05203nam-a2201249z--4500</leader><controlfield tag="001">993546037004498</controlfield><controlfield tag="005">20231214133003.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202201s2021 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5400000000042296</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/77001</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995400000000042296</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Surace, Cecilia</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Novel Approaches for Structural Health Monitoring</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel, Switzerland</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (344 p.)</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="520" ind1=" " ind2=" "><subfield code="a">The thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of long-span bridges or wind farms, SHM has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, it is nowadays possible to rapidly and consistently evaluate the structural safety of industrial machines, modern concrete buildings, historical masonry complexes, etc., to test their capability and to serve their intended purpose. However, old unsolved problematics as well as new challenges exist. Furthermore, unprecedented conditions, such as stricter safety requirements and ageing civil infrastructure, pose new challenges for confrontation. Therefore, this Special Issue gathers the main contributions of academics and practitioners in civil, aerospace, and mechanical engineering to provide a common ground for structural health monitoring in dealing with old and new aspects of this ever-growing research field.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Technology: general issues</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dynamic characteristic</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GB-RAR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">super high-rise building</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">displacement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">wheel flat</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">real-time monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">strain distribution characteristics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multisensor array</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precise positioning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">noncontact remote sensing (NRS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">optical flow algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">structural health monitoring (SHM)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">uniaxial automatic cruise acquisition device</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">noise robustness</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensitivity analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cross-modal strain energy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">damage detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">subspace system identification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data-driven stochastic subspace identification (SSI-DATA)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">covariance-driven stochastic subspace identification (SSI-COV)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">combined subspace system identification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PRISMA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vibration-based damage detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crack damage detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">piezoelectric impedance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">piezoelectric admittance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">peak frequency</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bayesian inference</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">uncertainty quantification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">masonry structures</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">seismic structural health monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bouc-Wen model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">model calibration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hysteretic system identification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">BOTDR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CFRP sheet</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">un-bonded position</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cover delamination</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">interfacial de-bonding</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">monitoring system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pipeline</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">health and structural integrity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Particle Impact Damper</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">adaptive-passive damping</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">damping of vibrations</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">experiments</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">submerged floating tunnel</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensor optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">failure monitoring accuracy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mooring line</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sigmoid function</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Adamax</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">categorical cross-entropy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bending test</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">bridge</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">"compression-softening" theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">frequency</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inverse problem</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nondestructive testing (NDT) method</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">prestressed concrete (PC) girder</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">prestress force determination</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">prestress loss</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vertical deflection measurement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rail</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">guided wave ultrasound</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">broken rail detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rail diagnostics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">structural health monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">non destructive testing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">shape sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">inverse Finite Element Method</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fiber optics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">full-field reconstruction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Structural Health Monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">extreme function theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">non-destructive testing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">extreme value theory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">generalised extreme distribution</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-2404-5</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-2405-3</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Surace, Cecilia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:39:19 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-04-04 09:22:53 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338143600004498&Force_direct=true</subfield><subfield code="Z">5338143600004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338143600004498</subfield></datafield></record></collection> |