Experimental Vibration Analysis for Civil Structures Testing, Sensing, Monitoring, and Control Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems Series
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.
Professor Mohammad Noori is a professor of Mechanical Engineering at Cal Poly, San Luis Obispo, a Fellow of the American Society of Mechanical Engineering and a recipient of the Japan Society for Promotion of Science Fellowship. Noori’s work in nonlinear random vibrations, seismic isolation and application of artificial intelligence methods for structural health monitoring is widely cited. He has authored over 250 refereed papers, including over 100 journal articles, 6 scientific books, and has edited 25 technical, and special journal, volumes. Noori has supervised over 90 graduate students and post-doc scholars, and has presented over 100 keynote, plenary, and invited talks. He is the founding executive editor of an international journal and has served on the editorial boards of over 10 other journals and as a member of numerous scientific and advisory boards. He has been a Distinguished Visiting Professor at several highly ranked global universities, and directed the Sensors Program at the National Science Foundation in 2014. He has been a founding director or co-founder of three industry-university research centers and held Chair professorships at two major universities. He served as the dean of engineering at Cal Poly for five years, has also served as the Chair of the national committee of mechanical engineering department heads, and was one of 7 co-founders of the National Institute of Aerospace, in partnership with NASA Langley Research Center. Noori also serves as the Chief Technical Advisor for several scientific organizations and industries.
Professor Jian Zhang is a professor and Vice Dean of School of Civil Engineering, Southeast University, China. He received his PhD from Kyoto University, Japan, and worked at University of California at San Diego and Drexel University, USA. In the area of structural health monitoring, he has published 4 books and over 50 first/corresponding-author SCI journal papers. His research results have been applied on
Date de parution : 11-2020
17.8x25.4 cm
Thèmes d’Experimental Vibration Analysis for Civil Structures :
Mots-clés :
Damage Detection; civil structures safety evaluation; SHM; artificial intelligence; Cable Stayed Bridge; structural health monitoring; Damping Ratios; civil infrastructure systems; Structural Health Monitoring System; Natural Frequency; Shaking Table Tests; Time History Curve; Ground Motion; Mode Shapes; Acceleration Response; Laminated Rubber Bearings; Shaking Table; Main Girder; Hysteretic Curve; SDF System; Seismic Response; MFI; EMD; Damage Indices; Elastic Cable; Seismic Mitigation; FE Model; Fundamental Frequency; Rubber Bearing