运动车辆激励下铰链关节损伤数据驱动识别方法研究

Gan Yang, Shizhi Chen, Xiang-Yu Wang, Dian Hu
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Study on Data-Driven Identification Method of Hinge Joint Damage under Moving Vehicle Excitation
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来源期刊
CiteScore
5.30
自引率
8.00%
发文量
86
期刊介绍: The journal will meet the needs of the researchers and engineers to address risk, disaster and failure-related challenges due to many sources and types of uncertainty in planning, design, analysis, construction, manufacturing, operation, utilization, and life-cycle management of existing and new engineering systems. Challenges abound due to increasing complexity of engineering systems, new materials and concepts, and emerging hazards (both natural and human caused). The journal will serve as a medium for dissemination of research findings, best practices and concerns, and for the discussion and debate on risk and uncertainty related issues. The journal will report on the full range of risk and uncertainty analysis state-of-the-art and state-of-the-practice relating to civil and mechanical engineering including but not limited to: • Risk quantification based on hazard identification, • Scenario development and rate quantification, • Consequence assessment, • Valuations, perception, and communication, • Risk-informed decision making, • Uncertainty analysis and modeling, • Other related areas. Part A of the journal, published by the American Society of Civil Engineers, will focus on the civil engineering aspects of these topics. Part B will be published by the American Society of Mechanical Engineers focusing on mechanical engineering.
期刊最新文献
Study on Data-Driven Identification Method of Hinge Joint Damage under Moving Vehicle Excitation Adaptive Sampling-Based Bayesian Model Updating for Bridges Considering Substructure Approach Personalized Vulnerability Assessment of Customized Low-Rise Wood-Frame Residential Structures under Hurricane Wind Loads: A Flexible Scenario-Based Simulation Approach Probabilistic Seismic Capacity Model of Pier Columns: A Semiparametric Regression Approach A Structural Equation Model to Analyze the Effects of COVID-19 Pandemic Risks on Project Success: Contractors’ Perspectives
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