Titlebook: Structural Health Monitoring for Suspension Bridges; Interpretation of Fi Yang Deng,Aiqun Li Book 2019 Science Press and Springer Nature S

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easurements.Includes a chapter on machine learning tools to .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.

placebo-effect

Bridge-Site Extreme Wind Predictionually, the mean wind velocity is statistically described by a random variable model. We have been particularly interested in determining the extreme velocity in a given return period using statistical extrapolation. A lot of efforts have been put into estimation of the extreme velocity.

observatory

Modal Frequency-Based Structural Damage Detection(Ko et al. in Eng Struct 27(12):1715–1725, 2005) [.], (Hsieh et al. in J Bridge Eng 11(6):707–715, 2006) [.]. How to explain the health condition of the bridge structure according to the collected structural responses remains a great challenge in the civil engineering community. It is well known tha

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Fatigue Monitoring of Welded Details Committee in J Struct Div ASCE 108(1):3–88, 1982) [.], (Byers et al. in J Struct Eng ASCE 123(3):277–285, 1997) [.]. During the operational period, bridge structures are subjected to millions of cyclic loadings caused by live traffic loads, resulting in the fatigue damage and fracture taken place i

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organism

煩擾

WIM-Based Fatigue Performance Investigation of Hangersg girders and the deck together with the transient live load are transferred to the main cables through hangers. The cyclic fluctuations in tension stresses induced by vehicle loads and wind loads can cause fatigue damage to the hangers.

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