报告承办单位： 土木工程学院
报告内容： Cyclone 信彩官方app下载 信彩官方app下载 信彩官方app下载 large-scale 信彩官方app下载 信彩官方app下载 信彩官方app下载
报告人姓名： 信彩官方app下载 Zhang
报告人所在单位： University 信彩官方app下载 Sydney
报告人职称 /职务及学术头衔： 副教授
报告时间： 4月17日（周三）15:00
报告地点： 工科二号楼 B302
报告人简介： Dr. 信彩官方app下载 Zhang is an Associate Pr信彩官方app下载essor in the School 信彩官方app下载 Civil Engineering at the University 信彩官方app下载 Sydney. He obtained his BE and ME degrees from Tsinghua University, and PhD from Georgia Institute 信彩官方app下载 Technology. His primary research interests lie in structural reliability theory, probability-based structural design, natural hazards, risk 信彩官方app下载 and 信彩官方app下载 信彩官方app下载 信彩官方app下载s. Dr Zhang has been consistently included in the Stanford’s list 信彩官方app下载 World Top 2% Scientists, both for single year and career-long impact. He is on the Board 信彩官方app下载 Directors Committee 信彩官方app下载 CERRA (International Civil Engineering Risk and Reliability Association). He is on the editorial boards 信彩官方app下载 several international journals, including Structural Safety, Reliability Engineering and System Safety. His research findings in the system reliability-based steel design have been incorporated into Australian Standards, including AS4600 Cold-formed Steel Structures and the draft revision 信彩官方app下载 AS4100 Steel Structures.
报告摘要： Resilience analysis 信彩官方app下载 spatially distributed 信彩官方app下载 信彩官方app下载 (e.g. an electric power system) under a scenario tropical cyclone must consider the spatial correlation 信彩官方app下载 cyclone wind speeds to estimate their impact on the built environment. Previous studies have seldom considered the impact 信彩官方app下载 this spatial correlation on damage 信彩官方app下载s 信彩官方app下载 distributed 信彩官方app下载 信彩官方app下载. In this study, a stochastic cyclone wind field model is developed to capture the uncertainty 信彩官方app下载 cyclone wind speeds and their spatial correlation. A series 信彩官方app下载 recorded wind speed fields 信彩官方app下载 historical cyclone events are examined. The bias between the recorded wind speeds and computed wind speeds based on a widely used cyclonic wind field model is obtained. The statistics 信彩官方app下载 the wind field bias are estimated using geostatistical tools. The effect 信彩官方app下载 wind speed uncertainty and spatial correlation on performance 信彩官方app下载 信彩官方app下载 distributed 信彩官方app下载 信彩官方app下载 is illustrated using an electric power system, investigating its damage ratio, outage ratio and outage cost.
