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  • 1
  • 2
    UID:
    almahu_9948025442902882
    Format: 1 online resource (739 p.)
    Edition: 1st edition
    ISBN: 1-78242-243-9
    Series Statement: Woodhead Publishing Series in Electronic and Optical Materials ; Number 56
    Content: Performance assessment and health monitoring of civil infrastructures has the potential to increase public safety while decreasing maintenance costs. Typically, sensors are strategically placed in a structure to measure and record data and to draw conclusions about the state of a structure. Volume 2 takes the reader through sensor data management and analytical techniques for fault detection and localization. It will look at prognosis and life-cycle assessment. The majority of the chapters are case studies in assessing structures such as bridges, buildings, super-tall towers, dams, tunnels, wi
    Note: Description based upon print version of record. , Cover; Sensor Technologies for Civil Infrastructures : Volume 2: Applications in Structural Health Monitoring; Copyright; Contents; Contributor contact details; Woodhead Publishing Series in Electronic and Optical Materials; Preface; Part I:Sensor data interrogation and decision making; 1:Sensor data management technologies for infrastructure asset management; 1.1 Introduction; 1.2 Sensor level data processing and management; 1.3 In-network data communication and management; 1.4 Persistent data management and retrieval; 1.5 Conclusion and future trends; 1.6 Acknowledgements; 1.7 References , 2:Sensor data analysis, reduction and fusion for assessing and monitoring civil infrastructures2.1 Introduction; 2.2 Bayesian inference and monitoring data analysis; 2.3 Data reduction; 2.4 Data fusion; 2.5 Further trends; 2.6 Sources of further information and advice; 2.7 Acknowledgements; 2.8 References; 3:Analytical techniques for damage detection and localization for assessing and monitoring civil infrastructures; 3.1 Introduction; 3.2 Linear time invariant systems; 3.3 Modal form; 3.4 Relation between the complex and the normal mode models; 3.5 Damage detection; 3.6 Damage localization , 3.7 Future trends3.8 Sources of further information and advice; 3.9 References; 4:Output only modal identification and structural damage detection using timefrequency and wavelet techniques for assessing and mo; 4.1 Introduction; 4.2 Time-frequency (TF) methods: STFT, EMD and HT; 4.3 Modal identification of linear time invariant (LTI) and linear time variant (LTV) systems using EMD/HT and STFT; 4.4 Modal identification of LTI and LTV systems using wavelets; 4.5 Experimental and numerical validation of modal identification of LTI and LTV systems using STFT, EMD, wavelets and HT; 4.6 Conclusion , 4.7 Acknowledgments4.8 References; 5:Prognosis and life-cycle assessment based on SHM information; 5.1 Introduction; 5.2 Statistical and probabilistic aspects for efficient prognosis; 5.3 Decision analysis based on availability of SHM data; 5.4 Life-cycle analysis using monitoring data; 5.5 Conclusions; 5.6 Acknowledgements; 5.7 References; 5.8 Appendix: Notation used; 6:System-level design of a roaming multi-modal multi-sensor system for assessing and monitoring civil infrastructures; 6.1 Introduction; 6.2 Need for health monitoring of transportation infrastructure , 6.3 Sensor systems background6.4 VOTERS mobile sensor system overview; 6.5 Hierarchical multi-tiered architecture; 6.6 Bulk data handling; 6.7 Enabling sensor fusion; 6.8 Conclusion; 6.9 Acknowledgements; 6.10 References; Part II:Case studies in assessing and monitoring specific structures; 7:Sensing solutions for assessing and monitoring bridges; 7.1 Introduction; 7.2 Performance metrics or measurands and their uses in assessment; 7.3 Instrumentation in notable bridge monitoring projects; 7.4 Case study on condition assessment and performance monitoring: Tamar Bridge , 7.5 Monitoring results illustrating sensor characteristics , English
    Additional Edition: ISBN 1-78242-242-0
    Language: English
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  • 3
    UID:
    almahu_9949336125602882
    Format: 1 online resource (678 pages)
    Edition: 2nd ed.
    ISBN: 0-08-102697-8
    Series Statement: Woodhead Publishing Series in Civil and Structural Engineering
    Content: Sensor Technologies for Civil Infrastructure, Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment, Second Edition, provides an overview of sensor hardware and its use in data collection. The first chapters provide an introduction to sensing for structural performance assessment and health monitoring, and an overview of commonly used sensors and their data acquisition systems. Further chapters address different types of sensor including piezoelectric transducers, fiber optic sensors, acoustic emission sensors, and electromagnetic sensors, and the use of these sensors for assessing and monitoring civil infrastructures. The new edition now includes chapters on machine learning methods and reliability analysis for structural health monitoring. All chapters have been revised to include the latest advances in materials (such as piezoelectric and mechanoluminescent materials), technologies (such as LIDAR), and applications.
    Note: Front Cover -- Sensor Technologies for Civil Infrastructures -- Sensor Technologies for Civil Infrastructures: Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment -- Copyright -- Contents -- List of contributors -- 1 - Introduction and sensor technologies -- 1 - Introduction to sensors and sensing systems for civil infrastructure monitoring and asset management -- 1.1 Introduction to infrastructure sensing -- 1.2 Description of the book organization -- 1.3 Summary -- 1.3.1 Journals -- 1.3.2 Books -- 1.3.3 Conferences -- References -- 2 - Sensor data acquisition systems and architectures -- 2.1 Scope of this chapter -- 2.1.1 General measurement system -- 2.1.2 Sensor module -- 2.2 Concepts in signals and digital sampling -- 2.2.1 Sampling criteria -- 2.2.2 Digitization and encoding -- 2.3 Analog-to-digital conversion -- 2.3.1 Quantization and quantization error -- 2.3.2 Analog-to-digital converter architectures -- 2.4 Digital-to-analog conversion -- 2.5 Data acquisition systems -- 2.5.1 Analog signal considerations -- 2.5.2 Wired digital communications -- 2.6 Optical sensing DAQ system -- 2.6.1 Photodiodes -- 2.6.2 Photodetectors -- 2.6.3 Tunable optical filters -- 2.7 Wireless data acquisition -- 2.8 Summary and future trends -- References -- 3 - Commonly used sensors for civil infrastructures and their associated algorithms -- 3.1 Introduction -- 3.2 Brief review of commonly used sensing technologies -- 3.2.1 Displacement -- 3.2.1.1 Linear variable differential transformers -- 3.2.1.2 Potentiometers -- 3.2.2 Strain -- 3.2.2.1 Piezoresistive -- 3.2.2.2 Vibrating-wire -- 3.2.3 Acceleration -- 3.2.3.1 Force-balance -- 3.2.3.2 Capacitive -- 3.2.3.3 Piezoelectric -- 3.2.4 Environment -- 3.2.4.1 Anemometers -- 3.2.4.2 Thermocouples and resistive thermometers -- 3.2.5 Prevalence of commonly used sensors in SHM systems. , 3.3 Associated algorithms -- 3.3.1 Displacement sensors -- 3.3.2 Strain gages -- 3.3.3 Accelerometers -- 3.3.3.1 Changes in modal parameters -- 3.3.3.2 Changes in input-output models -- 3.3.3.3 Changes in time response-based models -- 3.3.4 Environmental measurements -- 3.4 Examples of continuous monitoring systems -- 3.5 Conclusions and future trends -- References -- Further reading -- 4 - Piezoelectric transducers -- 4.1 Introduction -- 4.2 Principle of piezoelectricity -- 4.2.1 Definition and categorization of piezoelectricity -- 4.2.2 Operational principle of piezoelectric materials -- 4.2.3 Constitutive equations of piezoelectric materials -- 4.3 Piezoelectric materials and the fabrication of piezoelectric transducers -- 4.3.1 Piezoelectric materials -- 4.3.2 Fabrication of piezoelectric ceramics -- 4.4 Piezoelectric transducers for SHM applications -- 4.5 Bonding effects -- 4.6 Limitations of piezoelectric transducers -- 4.7 SHM techniques using piezoelectric transducers -- 4.7.1 Guided wave techniques -- 4.7.2 Impedance techniques -- 4.7.3 Acoustic emission techniques -- 4.7.4 Piezoelectric transducer self-diagnosis techniques -- 4.8 Applications of piezoelectric transducer-based SHM -- 4.8.1 Bridge structures -- 4.8.2 Aerospace structures -- 4.8.3 Pipeline structures -- 4.8.4 Nuclear power plants -- 4.8.5 Wind turbines -- 4.8.6 Other fields -- 4.9 Future trends -- 4.9.1 High temperature piezoelectric transducers -- 4.9.2 High strain piezoelectric transducers -- 4.9.3 Integration with optic-based SHM techniques -- 4.9.4 Nano-piezoelectric transducers -- 4.9.5 Multifunctional piezoelectric sensing -- 4.9.6 Long-term reliability issue -- 4.10 Chapter summary -- References -- 5 - Optical fiber sensors -- 5.1 Introduction -- 5.2 Properties of optical fibers -- 5.2.1 Optical fiber concepts -- 5.2.2 Sensing mechanisms -- 5.2.3 Sensor packaging. , 5.2.4 Cables, connectors, and splicing -- 5.3 Common optical fiber sensors -- 5.3.1 Coherent interferometers -- 5.3.2 Low coherence interferometers -- 5.3.3 Fabry- Pérot interferometers -- 5.3.4 Fiber Bragg gratings -- 5.3.5 Brillouin and Raman scattering distributed sensors -- 5.4 Future trends -- 5.4.1 Multicore fiber sensors -- 5.4.2 Microstructured optical fiber sensors -- 5.4.3 Polymer optical fiber sensors -- 5.4.4 Rayleigh scattering distributed sensors -- 5.5 Sources for further advice -- 5.6 Conclusions -- References -- 6 - Acoustic emission sensors for assessing and monitoring civil infrastructures -- 6.1 Introduction -- 6.2 Fundamentals of acoustic emission technique -- 6.3 Interpretation of AE signals -- 6.4 AE localization methods -- 6.5 Severity assessment -- 6.6 AE equipment technology -- 6.7 Field applications and structural health monitoring using AE -- 6.8 Future challenges -- 6.9 Conclusion -- References -- 7 - Radar technology: radio frequency, interferometric, millimeter wave and terahertz sensors for assessing and monitoring ... -- 7.1 Introduction -- 7.2 Radar and millimeter wave sensors -- 7.2.1 GPR principles of operation -- 7.2.2 Fundamentals of systems design -- 7.2.2.1 Range resolution and penetrating depth -- 7.2.3 GPR system design -- 7.2.4 GPR signal processing -- 7.2.4.1 Trace editing and rubber-banding -- 7.2.4.2 Time-zero correction -- 7.2.4.3 Range filtering and cross-range filtering -- 7.2.4.4 Deconvolution -- 7.2.4.5 Migration -- 7.2.4.6 Attribute analysis -- 7.2.4.7 Gain adjustment -- 7.2.4.8 Image analysis -- 7.2.4.9 Region of interest detection -- 7.2.5 Multistatic GPR imaging -- 7.2.6 GPR laboratory and field studies -- 7.3 Terahertz sensors -- 7.3.1 The principles of TDS sensing -- 7.3.2 THz pulse generation -- 7.3.3 THz imaging systems -- 7.4 Conclusions and future trends -- References -- Further reading. , 8 - Electromagnetic sensors for assessing and monitoring civil infrastructures -- 8.1 Introduction to magnetics and magnetic materials -- 8.2 Introduction to magnetoelasticity -- 8.3 Magnetic sensory technologies -- 8.3.1 Microstructural characterizing using magnetic method -- 8.3.2 Geometric/structural discontinuity (for example, cracks) inspection using magnetic method -- 8.3.3 Anomaly inspection through dynamic magnetic signal (eddy current and Barkhansen noise, and so on) -- 8.3.4 Corrosion monitoring using magnetic method -- 8.3.5 Mapping and characterizing residual stress in steel structures using magnetic method -- 8.3.6 Magnetostrictive sensors -- 8.3.7 Application of magnetoelasticity in tensile stress monitoring -- 8.4 Role of microstructure in magnetization and magnetoelasticity -- 8.5 Magnetoelastic stress sensors for tension monitoring of steel cables -- 8.6 Temperature effects -- 8.7 Eddy current -- 8.8 Removable (portable) elastomagnetic stress sensor -- 8.9 Conclusion and future trends -- References -- 9 - Microelectromechanical systems for assessing and monitoring civil infrastructures -- 9.1 Introduction -- 9.2 Sensor materials and micromachining techniques -- 9.2.1 Sensor materials -- 9.2.2 Micromachining methods -- 9.3 Sensor characteristics -- 9.3.1 Transduction principles -- 9.3.2 Stiction and collapse voltage -- 9.3.3 Squeeze film damping -- 9.3.4 Thin film residual stress -- 9.3.5 Packaging -- 9.4 MEMS sensors for SHM -- 9.4.1 Accelerometer -- 9.4.2 Acoustic emission sensor -- 9.4.3 Strain sensor -- 9.4.4 Corrosion sensor -- 9.4.5 Ultrasonic sensor -- 9.4.6 MEMS in IoT for SHM -- 9.4.7 Multisensor MEMS devices and networks -- 9.5 Application examples -- 9.6 Durability of MEMS sensors for SHM -- 9.7 Current research directions of MEMS sensors for SHM -- 9.8 Further resources -- 9.8.1 MEMS-related books. , 9.8.2 Commercial manufacturers and foundries -- 9.8.3 Journal resources -- References -- Further reading -- 10 - Laser-based sensing for assessing and monitoring civil infrastructures -- 10.1 Laser-based sensing -- 10.1.1 Introduction -- 10.1.2 Principles of lasers -- 10.1.2.1 Stimulated emission and thermal radiation -- 10.1.2.2 Optical amplification of lights in a medium -- 10.1.3 Laser interferometry or electronic speckle pattern interferometry -- 10.1.4 Laser holographic interferometry -- 10.1.5 Laser digital shearography -- 10.1.6 Laser scanning photogrammetry/LiDAR -- 10.1.7 Laser Doppler vibrometry -- 10.1.8 Laser-ultrasound/laser-acoustic -- 10.1.9 Laser excited/active/spot thermography -- 10.1.10 Laser scabbling/drilling -- 10.1.11 Terrestrial laser scanning -- 10.1.12 Other laser-based techniques -- 10.1.13 Laser safety -- 10.1.14 Summary -- Appendix -- Calculation of the speed of light -- References -- 11 - Vision-based sensing for assessing and monitoring civil infrastructures -- 11.1 Introduction -- 11.2 Vision-based measurement techniques for civil engineering applications -- 11.3 Important issues for vision-based measurement techniques -- 11.3.1 Camera calibration -- 11.3.2 Target and correspondence -- 11.3.3 Camera movement -- 11.4 Applications for vision-based sensing techniques -- 11.4.1 Small-scale building model test -- 11.4.2 Large-scale steel building frame test -- 11.4.3 Wind tunnel bridge sectional model test -- 11.4.4 Bridge cable test -- 11.4.5 Pedestrian bridge test -- 11.5 Conclusions -- Acknowledgment -- References -- 12 - Introduction to wireless sensor networks for monitoring applications: principles, design, and selection -- 12.1 Introduction and motivation -- 12.1.1 State-of-the-practice -- 12.1.2 State-of-the-art -- 12.2 Overview of wireless networks -- 12.3 Hardware design and selection. , 12.3.1 Anatomy of a wireless sensor.
    Additional Edition: Print version: Lynch, Jerome P. Sensor Technologies for Civil Infrastructures San Diego : Elsevier Science & Technology,c2022 ISBN 9780081026960
    Language: English
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  • 4
    UID:
    almahu_9949697765102882
    Format: 1 online resource (599 p.)
    Edition: 1st edition
    ISBN: 0-08-101410-4 , 0-85709-913-2
    Series Statement: Woodhead Publishing Series in Electronic and Optical Materials ; Volume 55
    Content: Sensors for civil infrastructure performance assessment and health monitoring have evolved significantly over the past decade with advances through high speed and low-cost electronic circuits, advances in fabrication and manufacturing methodologies, use of novel "smart? materials, and development of highly efficient signal validation and processing methods. Volume 1 describes sensing hardware and data collection covering a variety of sensors, including fiber optic systems, acoustic emission, piezoelectric sensors, electromagnetic sensors, ultrasonic methods, radar and millimeter wave technolog
    Note: Description based upon print version of record. , Cover; Sensor Technologies for Civil Infrastructures: Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment; Copyright; Contents; Contributor contact details; Woodhead Publishing Series in Electronic and Optical Materials; Preface; 1 Introduction to sensing for structural performance assessment and health monitoring; 1.1 Introduction; 1.2 Introduction to this book; 1.3 Overview of sensors and sensing system hardware; 1.4 Overview of sensor data interrogation and decision making; 1.5 Overview of application of sensing systems to operational infrastructure , 1.6 Future trends1.7 Conclusion; 1.8 References; 2 Sensor data acquisition systems and architectures; 2.1 Introduction; 2.2 Concepts in signals and digital sampling; 2.3 Analog-to-digital conversion; 2.4 Digital-to-analog conversion; 2.5 Data acquisition systems; 2.6 Optical sensing DAQ system; 2.7 Conclusion and future trends; 2.8 References; 3 Commonly used sensors for civil infrastructures and their associated algorithms; 3.1 Introduction; 3.2 Brief review of commonly used sensing technologies; 3.3 Associated algorithms; 3.4 Examples of continuous monitoring systems , 3.5 Conclusions and future trends3.6 References; 4 Piezoelectric transducers for assessing and monitoring civil infrastructures; 4.1 Introduction; 4.2 Principle of piezoelectricity; 4.3 Piezoelectric materials and the fabrication of piezoelectric transducers; 4.4 Piezoelectric transducers for SHM applications; 4.5 Bonding effects; 4.6 Limitations of piezoelectric transducers; 4.7 SHM techniques using piezoelectric transducers; 4.8 Applications of piezoelectric transducer-based SHM; 4.9 Future trends; 4.10 Conclusion; 4.11 References , 5 Fiber optic sensors for assessing and monitoring civil infrastructures5.1 Introduction; 5.2 Properties of optical fibers; 5.3 Common optical fiber sensors; 5.4 Future trends; 5.5 Sources for further information and advice; 5.6 Conclusions; 5.7 References; 6 Acoustic emission sensors for assessing and monitoring civil infrastructures; 6.1 Introduction; 6.2 Fundamentals of acoustic emission (AE) technique; 6.3 Interpretation of AE signals; 6.4 AE localization methods; 6.5 Severity assessment; 6.6 AE equipment technology; 6.7 Field applications and structural health monitoring using AE , 6.8 Future challenges6.9 Conclusion; 6.10 References; 7 Nonlinear acoustic and ultrasound methods for assessing and monitoring civil infrastructures; 7. 1 Introduction; 7. 2 Fundamentals of nonlinear acousto-ultrasound techniques; 7. 3 Harmonic and subharmonic generation; 7. 4 Nonlinear wave modulation; 7. 5 Nonlinear resonance ultrasound spectroscopy; 7. 6 Future trends; 7. 7 Conclusions; 7. 8 References; 8 Radar technology: radio frequency, interferometric, millimeter wave and terahertz sensors for assessing and monitoring civil infrastructures; 8.1 Introduction , 8.2 Brief history of ground penetrating radar (GPR) systems , English
    Additional Edition: ISBN 0-85709-432-7
    Additional Edition: ISBN 1-306-70538-X
    Language: English
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  • 5
    Online Resource
    Online Resource
    New York ; Stuttgart ; Delhi ; Rio de Janeiro :Thieme,
    UID:
    almafu_BV047221855
    Format: 1 Online-Ressource (xx, 560 Seiten) : , Illustrationen.
    Edition: Second edition
    ISBN: 978-1-62623-933-3
    Note: Includes bibliographical references and index
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-62623-643-1
    Language: English
    Keywords: Aufsatzsammlung
    Author information: Fessler, Richard G. 1952-
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  • 6
    UID:
    almahu_9949419561402882
    Format: 1 online resource (XXVII, 472 pages) : , illustrations.
    ISBN: 9783132442085
    Series Statement: Science of Synthesis. 2021/2
    Additional Edition: Print ISBN 9783132442061
    Language: English
    URL: Structure Searchable Database  (Database URL)
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  • 7
    UID:
    b3kat_BV043674565
    Format: Seite 382-760 , Diagramme
    Series Statement: Annals of operations research Volume 240, Number 2
    Language: English
    Keywords: Aufsatzsammlung
    Author information: Wang, Mingzheng
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  • 8
    UID:
    b3kat_BV041736692
    Format: XXV, 562 S. , Ill., graph. Darst.
    ISBN: 9780857094322
    Series Statement: Woodhead publishing series in electronic and optical materials 55
    In: 1
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-0-85709-913-6
    Language: English
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  • 9
    UID:
    kobvindex_ZLB15719323
    Format: XIV, 604 Seiten , Ill., graph. Darst. , 24 cm
    ISBN: 9783642397868
    Series Statement: Lecture notes in computer science
    Note: Literaturangaben
    Language: English
    Keywords: Wissenstechnik ; Wissenserwerb ; Wissensbasiertes System ; Soft Computing ; Kongress ; Dalian 〈2013〉 ; Wissensmanagement ; Entscheidungsunterstützungssystem ; Empfehlungssystem ; Kongress ; Dalian 〈2013〉 ; Data Mining ; Wissensextraktion ; Social Tagging ; Ontologie 〈Wissensverarbeitung〉 ; Kongress ; Dalian 〈2013〉 ; Kongress ; Konferenzschrift
    Author information: Wang, Mingzheng
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  • 10
    UID:
    gbv_747372918
    Format: IX, 241 S. , Ill., graph. Darst., Kt.
    ISBN: 9789814390538
    Language: English
    Keywords: Modernisierung ; Dongbei ; Industrialisierung ; Wirtschaftsentwicklung ; Regionalentwicklung ; Modernisierung
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