Experimental Vibration Analysis for Civil Structures: Testing, Sensing, Monitoring, and Control covers a wide range of topics in the areas of vibration testing, instrumentation, and analysis of civil engineering and critical infrastructure. It explains how recent research, development, and applications in experimental vibration analysis of civil engineering structures have progressed significantly due to advancements in the fields of sensor and testing technologies, instrumentation, data acquisition systems, computer technology, computational modeling and simulation of large and complex civil infrastructure systems. The book also examines how cutting-edge artificial intelligence and data analytics can be applied to infrastructure systems. Features: Explains how recent technological developments have resulted in addressing the challenge of designing more resilient infrastructure Examines numerous research studies conducted by leading scholars in the field of infrastructure systems and civil engineering Presents the most emergent fields of civil engineering design, such as data analytics and Artificial Intelligence for the analysis and performance assessment of infrastructure systems and their resilience Emphasizes the importance of an interdisciplinary approach to develop the modeling, analysis, and experimental tools for designing more resilient and intelligent infrastructures Appropriate for practicing engineers and upper-level students, Experimental Vibration Analysis for Civil Structures: Testing, Sensing, Monitoring, and Control serves as a strategic roadmap for further research in the field of vibration testing and instrumentation of infrastructure systems.
Yong Li & Mohammad Noori
Experimental Vibration Analysis for Civil Structures [PDF ebook]
Testing, Sensing, Monitoring, and Control
Experimental Vibration Analysis for Civil Structures [PDF ebook]
Testing, Sensing, Monitoring, and Control
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Language English ● Format PDF ● Pages 610 ● ISBN 9781000178654 ● Editor Yong Li & Mohammad Noori ● Publisher CRC Press ● Published 2020 ● Downloadable 3 times ● Currency EUR ● ID 7639655 ● Copy protection Adobe DRM
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