题目一：Characterizing seismic ground motions for hazard and risk modeling

讲座人：H. P. Hong, PhD, PEng

时间：2018-5-30（周三），下午2:30-3:30 PM

地点：灾后重建与管理学院C313

摘要

In this presentation, we provide some of our research results focused on seismic hazard and risk modeling. We emphasize the characterization of ground motion measures, spatial incoherency model of multi-component ground motions, and estimation of seismic risk for a portfolio of buildings. We compared the seismic hazard estimated directly using directly data based approach and seismicity (source, occurrence and attenuation relation) based approach. We showed that the (average) lagged coherency for record components oriented along the principal axes is similar in magnitude to that for randomly oriented orthogonal horizontal components, and that the spatial correlation can important to calculate the seismic loss for a portfolio of building.

报告人简介

Hanping Hong, PhD, is a full professor in the Department of Civil and Environmental Engineering at the University of Western Ontario  in London, Ontario, Canada.  He is a member of Academy of Engineering of Mexico. He also serves as a High-Expert in College of Civil Engineering, Tongji University, China. He holds B.Eng., M.Eng., and Dr. Eng degrees all from National University of Autonomous of Mexico. Dr. Hong has expertise in the areas of reliability and risk assessment, natural hazard modeling, and design code calibration. He has contributed to the reliability-based and economic efficient structural design code development and calibration. His research aims to provide information-sensitive reliability-based design of civil structures and infrastructure. Some of his research results are implemented by the code/standard for enhanced and innovative engineering practice. His research group has already developed natural hazard maps focused on extreme wind, snow or earthquake for Canada, Mexico and China. Dr. Hong is actively participating in several design codification and standard committees, including National Building Code of Canada, Standing Committee on Structural Design; CSA-S408-81 “Guidelines for the Development of Limit States Design”; Canadian Highway Bridge Design Code; and ISO/TC98-SC3-Load, forces and other actions.

题目二：Application of Bayesian Networks and Parameter Learning Techniques to Integrity Management of Oil and Gas Pipelines

讲座人：Wenxing Zhou

时间：2018-5-30（周三），下午3:30-4:30

地点：灾后重建与管理学院C313

摘要

Bayesian networks (BNs) are directed graphical models expressing the joint probabilistic distribution of a set of random variables by the local conditional probability tables.  Given the intuitive graphical nature and the ability to perform Bayesian inference between a large set of random variables efficiently, BNs have received increasing attentions in the structural reliability community.  This talk will discuss the application of BNs and parameter learning techniques to the integrity management of buried oil and gas pipelines based on inspection data and observation records.  Two case studies involving two major integrity threats, i.e. corrosion and third-party damage, are used to illustrate the development of the BN structures, model parametrization based on parameter learning and validation of the developed models.

报告人简介

Wenxing Zhou, PhD, PEng, is an Associate Professor and Associate Chair – Undergraduate in the Department of Civil and Environmental Engineering at the University of Western Ontario (UWO) in London, Ontario, Canada.  He obtained his BEng, MEng, and PhD from Tongji University, Tsinghua University and UWO in 1993, 1996 and 2001, respectively.  His main research interest is the reliability- and risk-based structural integrity management of oil and gas pipelines.  Before joining UWO, Dr. Zhou had extensive practical experience in the Canadian pipeline industry.  He has published more than 100 papers, including over 60 peer-reviewed journal papers and 40 peer-reviewed conference papers.  He is a Vice Chair of the Technical Committee of the Canadian Standards Association (CSA) standard Pipeline Safety Metrics, CSA Z260.

主办：

四川大学中国西部抗震中心

四川大学建筑与环境学院

四川大学灾后重建与管理学院

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