自适应蒙特卡罗仿真方法及其在多部件串联系统可靠性分析中的应用

IF 2.3 3区工程技术 Q2 ENGINEERING, CIVIL Asce-Asme Journal of Risk and Uncertainty in Engineering Systems Part A-Civil Engineering Pub Date : 2022-01-01 DOI:10.1061/ajrua6.0001200

Xin Liu, Z. Cao, Dian-Qing Li, Yu Wang

引用次数: 2

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Adaptive Monte Carlo Simulation Method and Its Applications to Reliability Analysis of Series Systems with a Large Number of Components

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来源期刊

Asce-Asme Journal of Risk and Uncertainty in Engineering Systems Part A-Civil Engineering Engineering-Building and Construction

CiteScore

5.30

自引率

8.00%

发文量

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.