Time-Variant Reliability Analysis for a Complex System Based on Active-Learning Kriging Model

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 : 2023-01-01 DOI:10.1061/ajrua6/rueng-962

Hua-Ming Qian, Hongbo Huang, Jing Wei

引用次数: 5

查看原文本刊更多论文

基于主动学习Kriging模型的复杂系统时变可靠性分析

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

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.