Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures

In the past, when elements in sructures were composed of perishable materials, such as wood, the maintenance of houses, bridges, etc., was considered of vital importance for their safe use and to preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given the...

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প্রকাশিত: MDPI - Multidisciplinary Digital Publishing Institute 2022
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অনলাইন ব্যবহার করুন:ONIX_20220111_9783036507545_229
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collection Directory of Open Access Books
description In the past, when elements in sructures were composed of perishable materials, such as wood, the maintenance of houses, bridges, etc., was considered of vital importance for their safe use and to preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given their relatively long useful life, periodic and constant maintenance has often been considered a secondary concern. When it was realized that even for structures fabricated with these materials that the useful life has an end and that it was being approached, planning maintenance became an important and non-negligible aspect. Thus, the concept of structural health monitoring (SHM) was introduced, designed, and implemented as a multidisciplinary method. Computational mechanics, static and dynamic analysis of structures, electronics, sensors, and, recently, the Internet of Things (IoT) and artificial intelligence (AI) are required, but it is also important to consider new materials, especially those with intrinsic self-diagnosis characteristics, and to use measurement and survey methods typical of modern geomatics, such as satellite surveys and highly sophisticated laser tools.
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language eng
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publisherStr MDPI - Multidisciplinary Digital Publishing Institute
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spelling doab-20.500.12854ir-764932024-03-30T23:22:30Z Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures Zinno, Raffaele Artese, Serena structural health monitoring jointless bridge high-speed railway bearing expansion device displacement analysis structural reliability estimation modal identification finite element model updating cyber-physical systems crowdsourcing temperature effects time-lag effect Fourier series expansion box-girder bridges structural engineering overall deformation monitoring perspective transformation edge detection close-range photogrammetry railway embankment condition assessment ground penetrating radar multi-attribute utility theory laser scanner line scanner structure monitoring deformation dynamic measurements scan-to-BIM point cloud HBIM FEM Rhinoceros terrestrial laser scanner (TLS) ground-based real aperture radar (GB-RAR) vibration frequency spectral analysis displacement structural health monitoring (SHM) vibration-based damage detection system identification subspace system identification (SSI) tie rod natural frequencies mode shapes root-mean-square error (RMSE) environmental monitoring long-range mapping MMS sub-millimetric EDM geodetic techniques damage detection damage localization hybrid approach neural network timber bridges stress-laminated timber decks monitoring humidity-temperature sensors wood moisture content multi-phase models finite element method moving load identification strain influence line load transverse distribution strain integral coefficient identification error n/a thema EDItEUR::M Medicine and Nursing In the past, when elements in sructures were composed of perishable materials, such as wood, the maintenance of houses, bridges, etc., was considered of vital importance for their safe use and to preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given their relatively long useful life, periodic and constant maintenance has often been considered a secondary concern. When it was realized that even for structures fabricated with these materials that the useful life has an end and that it was being approached, planning maintenance became an important and non-negligible aspect. Thus, the concept of structural health monitoring (SHM) was introduced, designed, and implemented as a multidisciplinary method. Computational mechanics, static and dynamic analysis of structures, electronics, sensors, and, recently, the Internet of Things (IoT) and artificial intelligence (AI) are required, but it is also important to consider new materials, especially those with intrinsic self-diagnosis characteristics, and to use measurement and survey methods typical of modern geomatics, such as satellite surveys and highly sophisticated laser tools. 2022-01-11T13:33:27Z 2022-01-11T13:33:27Z 2021 book ONIX_20220111_9783036507545_229 9783036507545 9783036507552 https://directory.doabooks.org/handle/20.500.12854/76493 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/3939 https://mdpi.com/books/pdfview/book/3939 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0755-2 10.3390/books978-3-0365-0755-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036507545 9783036507552 288 Basel, Switzerland open access
spellingShingle structural health monitoring
jointless bridge
high-speed railway
bearing
expansion device
displacement analysis
structural reliability estimation
modal identification
finite element model updating
cyber-physical systems
crowdsourcing
temperature effects
time-lag effect
Fourier series expansion
box-girder bridges
structural engineering
overall deformation monitoring
perspective transformation
edge detection
close-range photogrammetry
railway embankment
condition assessment
ground penetrating radar
multi-attribute utility theory
laser scanner
line scanner
structure monitoring
deformation
dynamic measurements
scan-to-BIM
point cloud
HBIM
FEM
Rhinoceros
terrestrial laser scanner (TLS)
ground-based real aperture radar (GB-RAR)
vibration frequency
spectral analysis
displacement
structural health monitoring (SHM)
vibration-based damage detection
system identification
subspace system identification (SSI)
tie rod
natural frequencies
mode shapes
root-mean-square error (RMSE)
environmental monitoring
long-range mapping
MMS
sub-millimetric EDM geodetic techniques
damage detection
damage localization
hybrid approach
neural network
timber bridges
stress-laminated timber decks
monitoring
humidity-temperature sensors
wood moisture content
multi-phase models
finite element method
moving load identification
strain influence line
load transverse distribution
strain integral coefficient
identification error
n/a
thema EDItEUR::M Medicine and Nursing
Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures
title Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures
title_full Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures
title_fullStr Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures
title_full_unstemmed Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures
title_short Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures
title_sort innovative methods and materials in structural health monitoring of civil infrastructures
topic structural health monitoring
jointless bridge
high-speed railway
bearing
expansion device
displacement analysis
structural reliability estimation
modal identification
finite element model updating
cyber-physical systems
crowdsourcing
temperature effects
time-lag effect
Fourier series expansion
box-girder bridges
structural engineering
overall deformation monitoring
perspective transformation
edge detection
close-range photogrammetry
railway embankment
condition assessment
ground penetrating radar
multi-attribute utility theory
laser scanner
line scanner
structure monitoring
deformation
dynamic measurements
scan-to-BIM
point cloud
HBIM
FEM
Rhinoceros
terrestrial laser scanner (TLS)
ground-based real aperture radar (GB-RAR)
vibration frequency
spectral analysis
displacement
structural health monitoring (SHM)
vibration-based damage detection
system identification
subspace system identification (SSI)
tie rod
natural frequencies
mode shapes
root-mean-square error (RMSE)
environmental monitoring
long-range mapping
MMS
sub-millimetric EDM geodetic techniques
damage detection
damage localization
hybrid approach
neural network
timber bridges
stress-laminated timber decks
monitoring
humidity-temperature sensors
wood moisture content
multi-phase models
finite element method
moving load identification
strain influence line
load transverse distribution
strain integral coefficient
identification error
n/a
thema EDItEUR::M Medicine and Nursing
topic_facet structural health monitoring
jointless bridge
high-speed railway
bearing
expansion device
displacement analysis
structural reliability estimation
modal identification
finite element model updating
cyber-physical systems
crowdsourcing
temperature effects
time-lag effect
Fourier series expansion
box-girder bridges
structural engineering
overall deformation monitoring
perspective transformation
edge detection
close-range photogrammetry
railway embankment
condition assessment
ground penetrating radar
multi-attribute utility theory
laser scanner
line scanner
structure monitoring
deformation
dynamic measurements
scan-to-BIM
point cloud
HBIM
FEM
Rhinoceros
terrestrial laser scanner (TLS)
ground-based real aperture radar (GB-RAR)
vibration frequency
spectral analysis
displacement
structural health monitoring (SHM)
vibration-based damage detection
system identification
subspace system identification (SSI)
tie rod
natural frequencies
mode shapes
root-mean-square error (RMSE)
environmental monitoring
long-range mapping
MMS
sub-millimetric EDM geodetic techniques
damage detection
damage localization
hybrid approach
neural network
timber bridges
stress-laminated timber decks
monitoring
humidity-temperature sensors
wood moisture content
multi-phase models
finite element method
moving load identification
strain influence line
load transverse distribution
strain integral coefficient
identification error
n/a
thema EDItEUR::M Medicine and Nursing
url ONIX_20220111_9783036507545_229