Optical Sensors for Structural Health Monitoring
The evolution and need for the preservation and maintenance of existing structures, recent or historical, has fostered research in the area of structural monitoring, translated into the development of new techniques, equipment and sensors. Early detection of damage and accurate assessment of structu...
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| Формат: | Online |
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| Язык: | английский |
| Опубликовано: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Предметы: | |
| Online-ссылка: | ONIX_20210501_9783036501727_215 |
| Метки: |
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| _version_ | 1869519167388909568 |
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| collection | Directory of Open Access Books |
| description | The evolution and need for the preservation and maintenance of existing structures, recent or historical, has fostered research in the area of structural monitoring, translated into the development of new techniques, equipment and sensors. Early detection of damage and accurate assessment of structural safety requires monitoring systems, the data from which can be used to calibrate numerical models for structural analysis and to assess safety. Data are obtained under real-time conditions, considering a group of parameters related to structural properties, such as stresses, accelerations, deformations and displacements. The analysis of structural properties is particularly relevant when the structure is subjected to extreme events (earthquakes, wind, fire and explosions, among others) or repeated loads (road/rail/air traffic, vibrations induced by equipment and machines), since they affect the structural integrity and put the users at risk. In order to prevent the severe damage and eventual collapse of structures, and consequent human, material and economic losses, the implementation of monitoring systems becomes a valuable tool for today's society. Monitoring of structures is becoming increasingly important, not only as preventive action, but also due to actual economic and sustainability concerns, to ensure a safer and more comfortable built environment. |
| format | Online |
| id | doab-20.500.12854ir-68469 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-684692024-04-11T15:11:33Z Optical Sensors for Structural Health Monitoring Antunes, Paulo Varum, Humberto image-based measurement crack measurement shear cracks flexural cracks damage index nuclear power plant visual inspection photometric stereo 3D reconstruction rotating stall non-synchronous blade vibration blade tip timing centrifugal compressor distributed measurements fiber optic sensors scour soil-structure interaction winkler model equivalent length corrosion sensor oil and gas pipelines optical fibers Fiber Bragg Grating (FBG) distributed optical fiber strain sensing cable Brillouin scattering Rayleigh scattering strain sensing cable characterization elasto-plastic behavior strain sensitivity coefficients bridge damage detection fiber optic gyroscope deep learning convolutional neural network Fiber Bragg grating fiber optic sensors embedded in concrete strain measurement monitoring cracking weldable fiber optic sensors optical fiber sensors material extrusion hybrid processes temperature and strain monitoring similarity measure subway tunnel distributed vibration feature extraction autoencoder ultra-weak FBG hyperspectral imaging spectral indices random forest growth stage Fusarium head blight structural health monitoring load localization load estimation depth sensor artificial neural networks castigliano’s theorem crack detection crack opening distributed fiber optic sensors DIC UHPFRC testing SHM microcracking PAD environmental monitoring colorimetric detection water atmosphere thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The evolution and need for the preservation and maintenance of existing structures, recent or historical, has fostered research in the area of structural monitoring, translated into the development of new techniques, equipment and sensors. Early detection of damage and accurate assessment of structural safety requires monitoring systems, the data from which can be used to calibrate numerical models for structural analysis and to assess safety. Data are obtained under real-time conditions, considering a group of parameters related to structural properties, such as stresses, accelerations, deformations and displacements. The analysis of structural properties is particularly relevant when the structure is subjected to extreme events (earthquakes, wind, fire and explosions, among others) or repeated loads (road/rail/air traffic, vibrations induced by equipment and machines), since they affect the structural integrity and put the users at risk. In order to prevent the severe damage and eventual collapse of structures, and consequent human, material and economic losses, the implementation of monitoring systems becomes a valuable tool for today's society. Monitoring of structures is becoming increasingly important, not only as preventive action, but also due to actual economic and sustainability concerns, to ensure a safer and more comfortable built environment. 2021-05-01T15:10:49Z 2021-05-01T15:10:49Z 2021 book ONIX_20210501_9783036501727_215 9783036501727 9783036501734 https://directory.doabooks.org/handle/20.500.12854/68469 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3488 https://mdpi.com/books/pdfview/book/3488 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0173-4 10.3390/books978-3-0365-0173-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036501727 9783036501734 248 Basel, Switzerland open access |
| spellingShingle | image-based measurement crack measurement shear cracks flexural cracks damage index nuclear power plant visual inspection photometric stereo 3D reconstruction rotating stall non-synchronous blade vibration blade tip timing centrifugal compressor distributed measurements fiber optic sensors scour soil-structure interaction winkler model equivalent length corrosion sensor oil and gas pipelines optical fibers Fiber Bragg Grating (FBG) distributed optical fiber strain sensing cable Brillouin scattering Rayleigh scattering strain sensing cable characterization elasto-plastic behavior strain sensitivity coefficients bridge damage detection fiber optic gyroscope deep learning convolutional neural network Fiber Bragg grating fiber optic sensors embedded in concrete strain measurement monitoring cracking weldable fiber optic sensors optical fiber sensors material extrusion hybrid processes temperature and strain monitoring similarity measure subway tunnel distributed vibration feature extraction autoencoder ultra-weak FBG hyperspectral imaging spectral indices random forest growth stage Fusarium head blight structural health monitoring load localization load estimation depth sensor artificial neural networks castigliano’s theorem crack detection crack opening distributed fiber optic sensors DIC UHPFRC testing SHM microcracking PAD environmental monitoring colorimetric detection water atmosphere thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Optical Sensors for Structural Health Monitoring |
| title | Optical Sensors for Structural Health Monitoring |
| title_full | Optical Sensors for Structural Health Monitoring |
| title_fullStr | Optical Sensors for Structural Health Monitoring |
| title_full_unstemmed | Optical Sensors for Structural Health Monitoring |
| title_short | Optical Sensors for Structural Health Monitoring |
| title_sort | optical sensors for structural health monitoring |
| topic | image-based measurement crack measurement shear cracks flexural cracks damage index nuclear power plant visual inspection photometric stereo 3D reconstruction rotating stall non-synchronous blade vibration blade tip timing centrifugal compressor distributed measurements fiber optic sensors scour soil-structure interaction winkler model equivalent length corrosion sensor oil and gas pipelines optical fibers Fiber Bragg Grating (FBG) distributed optical fiber strain sensing cable Brillouin scattering Rayleigh scattering strain sensing cable characterization elasto-plastic behavior strain sensitivity coefficients bridge damage detection fiber optic gyroscope deep learning convolutional neural network Fiber Bragg grating fiber optic sensors embedded in concrete strain measurement monitoring cracking weldable fiber optic sensors optical fiber sensors material extrusion hybrid processes temperature and strain monitoring similarity measure subway tunnel distributed vibration feature extraction autoencoder ultra-weak FBG hyperspectral imaging spectral indices random forest growth stage Fusarium head blight structural health monitoring load localization load estimation depth sensor artificial neural networks castigliano’s theorem crack detection crack opening distributed fiber optic sensors DIC UHPFRC testing SHM microcracking PAD environmental monitoring colorimetric detection water atmosphere thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | image-based measurement crack measurement shear cracks flexural cracks damage index nuclear power plant visual inspection photometric stereo 3D reconstruction rotating stall non-synchronous blade vibration blade tip timing centrifugal compressor distributed measurements fiber optic sensors scour soil-structure interaction winkler model equivalent length corrosion sensor oil and gas pipelines optical fibers Fiber Bragg Grating (FBG) distributed optical fiber strain sensing cable Brillouin scattering Rayleigh scattering strain sensing cable characterization elasto-plastic behavior strain sensitivity coefficients bridge damage detection fiber optic gyroscope deep learning convolutional neural network Fiber Bragg grating fiber optic sensors embedded in concrete strain measurement monitoring cracking weldable fiber optic sensors optical fiber sensors material extrusion hybrid processes temperature and strain monitoring similarity measure subway tunnel distributed vibration feature extraction autoencoder ultra-weak FBG hyperspectral imaging spectral indices random forest growth stage Fusarium head blight structural health monitoring load localization load estimation depth sensor artificial neural networks castigliano’s theorem crack detection crack opening distributed fiber optic sensors DIC UHPFRC testing SHM microcracking PAD environmental monitoring colorimetric detection water atmosphere thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783036501727_215 |