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Structural Health Monitoring for Suspension Bridges

Interpretation of Field Measurements

Yang Deng Aiqun Li

$340.95   $273.14

Hardback

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English
Springer Verlag, Singapore
07 January 2019
This book presents extensive information on structural health monitoring for suspension bridges. During the past two decades, there have been significant advances in the sensing technologies employed in long-span bridge health monitoring. However, interpretation of the massive monitoring data is still lagging behind. This book establishes a series of measurement interpretation frameworks that focus on bridge site environmental conditions, and global and local responses of suspension bridges. Using the proposed frameworks, it subsequently offers new insights into the structural behaviors of long-span suspension bridges. As a valuable resource for researchers, scientists and engineers in the field of bridge structural health monitoring, it provides essential information, methods, and practical algorithms that can facilitate in-service bridge performance assessments.
By:   ,
Imprint:   Springer Verlag, Singapore
Country of Publication:   Singapore
Edition:   2019 ed.
Dimensions:   Height: 235mm,  Width: 155mm, 
Weight:   559g
ISBN:   9789811333460
ISBN 10:   9811333467
Pages:   243
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active

Dr. Yang Deng received his Ph.D. from Southeast University, Nanjing, China and is currently an Associate Professor at Beijing University of Civil Engineering and Architecture. His research mainly focuses on structural performance prediction based on modeling of SHM data; fatigue analysis and assessment of bridge structures; structural damage identification and evaluation; and life-cycle structural reliability analysis. Prof. Aiqun Li received his Ph.D. from Southeast University, Nanjing, China and is currently a Professor at Beijing University of Civil Engineering and Architecture. His research mainly focuses on structural health monitoring.

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