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Jin Pan, Yong Wang, Tao Wang and Mingcai Xu
With the development of bridge crossings over rivers, the accident of the vessel?bridge collision is increasing as well. It is important to assess probability of bridges colliding with passing ships. Firstly, the AIS (Automatic identify system) data was ...
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Athanasios Bakalis, Triantafyllos Makarios and Vassilis Lekidis
The seismic damage in reinforced concrete bridges is identified in this study using the ?M and P? hybrid technique initially developed for planar frames, where M signifies ?Monitoring? and P denotes ?Pushover analysis?. The proposed methodology involves ...
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Fang Dong, Zhongqi Shi, Rumian Zhong and Nan Jin
In this paper, A high-order response surface method is proposed for finite element model updating of continuous beam bridges. Firstly, based on visual inspection and environmental vibration testing, the peak picking (PP) method and random subspace identi...
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Gang Chen, Weixiang Shi, Lei Yu, Jizhuo Huang, Jiangang Wei and Jun Wang
In recent years, wireless sensors have progressively supplanted conventional limited sensors owing to their attributes of small size, low cost, and high accuracy. Consequently, there has been a growing interest in leveraging wireless sensor networks for ...
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Zahra Ameli, Shabnam Jafarpoor Nesheli and Eric N. Landis
The application of deep learning (DL) algorithms has become of great interest in recent years due to their superior performance in structural damage identification, including the detection of corrosion. There has been growing interest in the application ...
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Rong Wang, Xinyang Zhou, Yi Liu, Dongqi Liu, Yu Lu and Miao Su
To ensure the safety and durability of concrete structures, timely detection and classification of concrete cracks using a low-cost and high-efficiency method is necessary. In this study, a concrete surface crack damage detection method based on the ResN...
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Kultigin Demirlioglu and Emrah Erduran
Bridges serve as vital engineering structures crafted to facilitate secure and effective transportation networks. Throughout their life-cycle, they withstand various factors, including diverse environmental conditions, natural hazards, and substantial lo...
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Su-Wan Chung, Sung-Sam Hong and Byung-Kon Kim
Currently, damage in aging bridges is assessed visually, leading to significant personnel, time, and cost expenditures. Moreover, the results depend on the subjective judgment of the inspector. Machine-learning-based approaches, such as deep learning, ca...
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Susana Barrios, Andrés Guzmán and Albert Ortiz
Corrosion directly affects the structural stiffness of a steel element, reducing the thickness, thus inertia, due to the gradual deterioration of the material. Quickly identifying corrosion damage to the stiffness of a steel structure is a challenge in c...
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Yilun Qin, Qizhi Tang, Jingzhou Xin, Changxi Yang, Zixiang Zhang and Xianyi Yang
Rapid and accurate identification of moving load is crucial for bridge operation management and early warning of overload events. However, it is hard to obtain them rapidly via traditional machine learning methods, due to their massive model parameters a...
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