Sensor Technologies for Civil Infrastructures
portes grátis
Sensor Technologies for Civil Infrastructures
Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment
Sohn, Hoon; Wang, Ming L.; Lynch, Jerome P.
Elsevier Science & Technology
07/2022
676
Mole
Inglês
9780081026960
15 a 20 dias
1000
Descrição não disponível.
Part One: Introduction and sensor technologies 1 Introduction to sensors and sensing systems for civil infrastructure monitoring and asset management 2 Sensor data acquisition systems and architectures 3 Commonly used sensors for civil infrastructures and their associated algorithms 4 Piezoelectric transducers 5 Optical fiber sensors 6 Acoustic emission sensors for assessing and monitoring civil infrastructures 7 Radar technology: radio frequency, interferometric, millimeter wave and terahertz sensors for assessing and monitoring civil infrastructures 8 Electromagnetic sensors for assessing and monitoring civil infrastructures 9 Microelectromechanical systems for assessing and monitoring civil infrastructures 10 Laser-based sensing for assessing and monitoring civil infrastructures 11 Vision-based sensing for assessing and monitoring civil infrastructures 12 Introduction to wireless sensor networks for monitoring applications: principles, design, and selection 13 Vibration energy harvesters for sensing applications
Part Two: Sensor data management 14 Data management technologies for infrastructure monitoring 15 Sensor data analysis, reduction, and fusion for assessing and monitoring civil infrastructures 16 Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures 17 Output-only modal identification and structural damage detection using timeefrequency and wavelet techniques for assessing and monitoring civil infrastructures 18 Deep learning and data analytics for assessing seismic performance of civil infrastructures 19 Prognosis and life-cycle assessment based on SHM information 20 Decision-making in SHM systems for asset management
Part Two: Sensor data management 14 Data management technologies for infrastructure monitoring 15 Sensor data analysis, reduction, and fusion for assessing and monitoring civil infrastructures 16 Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures 17 Output-only modal identification and structural damage detection using timeefrequency and wavelet techniques for assessing and monitoring civil infrastructures 18 Deep learning and data analytics for assessing seismic performance of civil infrastructures 19 Prognosis and life-cycle assessment based on SHM information 20 Decision-making in SHM systems for asset management
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Acoustic detection; Acoustic emission monitoring; Acoustic emission; Algorithms; Asset management; Bayesian inference; Binary coded decimal; Binary encoding; Bistatic radar components; Blind source separation (BSS)Empirical mode decomposition (EMD)Hilbert transform (HT)Independent component analysis (ICA)Output-only modal identification; Bridge information modeling; Cable force monitoring; Cable-stayed bridge; Capacitance; Change detection; Civil engineering; Civil infrastructure; Civil infrastructures; Cloud computing; Computer vision; Concrete; Cost; Damage detection; Damage localization; Data acquisition systems; Data analytics; Data fusion; Data reduction; Database management; Deep learning; Digital shearography; Displacement measurement; Distributed sensing; Elastomagnetic stress sensor; Electromagnetic interactions; Electromagnetic theory; Electromagnetic; Electronic speckle pattern interferometry; Electrostatic; Environmental effects; Fiber optical; Finite element method; Ground-penetrating radar; Guided wave; Impedance; Infrastructure management; Infrastructure; Kaiser effect; Laser active thermography; Laser Doppler vibrometry; Laser scabbling; Laser ultrasound; Laser; LiDAR; Life-cycle analysis; Long short-term memory; Micromachining; Miniature sensors; Monitoring; Monostatic antenna; Nondestructive evaluation (NDE)Prestressed force monitoring; Nondestructive evaluation; NoSQL database; Optimization; Partially observable Markov decision process; Photogrammetry; Piezoelectric thin film; Piezoelectric transducers; Piezoelectric; Piezoresistivity; Power management; Probabilistic data analysis; Probability; Prognosis; Radar technology; Safety; Scanning photogrammetry; Seismic performance; Sensing applications; Sensing systems; Sensor fusion; Sensor multiplexing; Sensor; Sensors; Sequential decision-making; Service life; Short-time fourier transform (STFT)Time-frequency techniques; Signal conditioning module; Signal-to-noise ratio; Silicon; Statistics of extremes; Steel tendon stress monitoring; Strain sensing; Structural health monitoring (SHM)Structural performance; Structural health monitoring; Temperature sensing; TLS; Value of information; Vibration energy harvesting; Videogrammetry; Wavelets; Wavespeed; Wired monitoring system; Wireless sensor networks; Wireless standards
Part One: Introduction and sensor technologies 1 Introduction to sensors and sensing systems for civil infrastructure monitoring and asset management 2 Sensor data acquisition systems and architectures 3 Commonly used sensors for civil infrastructures and their associated algorithms 4 Piezoelectric transducers 5 Optical fiber sensors 6 Acoustic emission sensors for assessing and monitoring civil infrastructures 7 Radar technology: radio frequency, interferometric, millimeter wave and terahertz sensors for assessing and monitoring civil infrastructures 8 Electromagnetic sensors for assessing and monitoring civil infrastructures 9 Microelectromechanical systems for assessing and monitoring civil infrastructures 10 Laser-based sensing for assessing and monitoring civil infrastructures 11 Vision-based sensing for assessing and monitoring civil infrastructures 12 Introduction to wireless sensor networks for monitoring applications: principles, design, and selection 13 Vibration energy harvesters for sensing applications
Part Two: Sensor data management 14 Data management technologies for infrastructure monitoring 15 Sensor data analysis, reduction, and fusion for assessing and monitoring civil infrastructures 16 Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures 17 Output-only modal identification and structural damage detection using timeefrequency and wavelet techniques for assessing and monitoring civil infrastructures 18 Deep learning and data analytics for assessing seismic performance of civil infrastructures 19 Prognosis and life-cycle assessment based on SHM information 20 Decision-making in SHM systems for asset management
Part Two: Sensor data management 14 Data management technologies for infrastructure monitoring 15 Sensor data analysis, reduction, and fusion for assessing and monitoring civil infrastructures 16 Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures 17 Output-only modal identification and structural damage detection using timeefrequency and wavelet techniques for assessing and monitoring civil infrastructures 18 Deep learning and data analytics for assessing seismic performance of civil infrastructures 19 Prognosis and life-cycle assessment based on SHM information 20 Decision-making in SHM systems for asset management
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Acoustic detection; Acoustic emission monitoring; Acoustic emission; Algorithms; Asset management; Bayesian inference; Binary coded decimal; Binary encoding; Bistatic radar components; Blind source separation (BSS)Empirical mode decomposition (EMD)Hilbert transform (HT)Independent component analysis (ICA)Output-only modal identification; Bridge information modeling; Cable force monitoring; Cable-stayed bridge; Capacitance; Change detection; Civil engineering; Civil infrastructure; Civil infrastructures; Cloud computing; Computer vision; Concrete; Cost; Damage detection; Damage localization; Data acquisition systems; Data analytics; Data fusion; Data reduction; Database management; Deep learning; Digital shearography; Displacement measurement; Distributed sensing; Elastomagnetic stress sensor; Electromagnetic interactions; Electromagnetic theory; Electromagnetic; Electronic speckle pattern interferometry; Electrostatic; Environmental effects; Fiber optical; Finite element method; Ground-penetrating radar; Guided wave; Impedance; Infrastructure management; Infrastructure; Kaiser effect; Laser active thermography; Laser Doppler vibrometry; Laser scabbling; Laser ultrasound; Laser; LiDAR; Life-cycle analysis; Long short-term memory; Micromachining; Miniature sensors; Monitoring; Monostatic antenna; Nondestructive evaluation (NDE)Prestressed force monitoring; Nondestructive evaluation; NoSQL database; Optimization; Partially observable Markov decision process; Photogrammetry; Piezoelectric thin film; Piezoelectric transducers; Piezoelectric; Piezoresistivity; Power management; Probabilistic data analysis; Probability; Prognosis; Radar technology; Safety; Scanning photogrammetry; Seismic performance; Sensing applications; Sensing systems; Sensor fusion; Sensor multiplexing; Sensor; Sensors; Sequential decision-making; Service life; Short-time fourier transform (STFT)Time-frequency techniques; Signal conditioning module; Signal-to-noise ratio; Silicon; Statistics of extremes; Steel tendon stress monitoring; Strain sensing; Structural health monitoring (SHM)Structural performance; Structural health monitoring; Temperature sensing; TLS; Value of information; Vibration energy harvesting; Videogrammetry; Wavelets; Wavespeed; Wired monitoring system; Wireless sensor networks; Wireless standards
