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    Sensor Technologies for Civil Infrastructures: Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment

    Sensor Technologies for Civil Infrastructures by Lynch, Jerome P.; Sohn, Hoon; Wang, Ming L.;

    Volume 1: Sensing Hardware and Data Collection Methods for Performance Assessment

    Sorozatcím: Woodhead Publishing Series in Civil and Structural Engineering;

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      • Kiadói listaár EUR 265.00
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        112 413 Ft (107 060 Ft + 5% áfa)
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    A termék adatai:

    • Kiadás sorszáma 2
    • Kiadó Woodhead Publishing
    • Megjelenés dátuma 2022. július 25.

    • ISBN 9780081026960
    • Kötéstípus Puhakötés
    • Terjedelem676 oldal
    • Méret 229x152 mm
    • Súly 1000 g
    • Nyelv angol
    • 432

    Kategóriák

    Hosszú leírás:

    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.




    • Describes sensing hardware and data collection, covering a variety of sensors including LIDAR
    • Examines fiber optic systems, acoustic emission, piezoelectric sensors, electromagnetic sensors, terahertz technologies, ultrasonic methods, and radar and millimeter wave technology
    • Covers strain gauges, micro-electro-mechanical systems (MEMS), multifunctional materials and nanotechnology for sensing, and vision-based sensing and lasers
    • Includes new chapters on machine learning methods and reliability analysis

    Több

    Tartalomjegyzék:

    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

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