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    Multidamage Identification in High-Resolution Concrete Bridge Component Imagery Based on Deep Learning 

    Source: Journal of Performance of Constructed Facilities:;2024:;Volume ( 038 ):;issue: 005:;page 04024026-1
    Author(s): Hai-En Tang; Ting-Hua Yi; Song-Han Zhang; Chong Li
    Publisher: American Society of Civil Engineers
    Abstract: The identification of damage to concrete bridge surfaces is of great significance to maintaining the durability and reliability of bridges. However, it is difficult to identify small areas of damage, especially in ...
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    Wear Life Prediction of Sliding Bearings Based on Multitype Monitoring Data of Bridges 

    Source: Journal of Bridge Engineering:;2024:;Volume ( 029 ):;issue: 001:;page 04023102-1
    Author(s): Yun-Tao Wei; Ting-Hua Yi; Dong-Hui Yang; Chong Li; Qiang Han
    Publisher: ASCE
    Abstract: Sliding bearings are a key component of bridges, and their normal performance is an important prerequisite to ensure traffic safety. To solve the problem wherein a single type of sensor has difficulty in effectively ...
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    Adaptive Sampling-Based Bayesian Model Updating for Bridges Considering Substructure Approach 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2023:;Volume ( 009 ):;issue: 003:;page 04023024-1
    Author(s): Shu-Han Yang; Ting-Hua Yi; Chun-Xu Qu; Song-Han Zhang; Chong Li
    Publisher: ASCE
    Abstract: During long-term bridge monitoring, model updating is necessary because it provides the basis for accurate condition assessment and damage detection. In this study, an adaptive sampling-based Bayesian model updating method ...
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