研究生短期课程：城市区域韧性分析的先进方法 by GP Cimellaro
研究生短期课程：城市区域韧性分析的先进方法
ADVANCED METHODS FOR RESILIENCE ANALYSIS IN URBAN AREAS
授课教师：Gian Paolo Cimellaro，都灵理工大学
时间：2018年10月23日（周二）、24日（周三），下午1:30-4:30
10月25日（周四），上午9:00-12:00
地点：清华大学土木工程系（何善衡楼）300会议室
助教：杨哲飚，188-1031-0052
联系教师：陆新征 luxz@tsinghua.edu.cn
对校内外免费，欢迎大家参加
Goal of the course: Resilience is a broad and multidisciplinary subject and measuring it is one of the most challenging tasks due to the complexity involved in the process. In the seminar, the fundamental concepts of “community resilience” are analyzed and a common reference framework is established. Several applications of the framework are presented for strategic facilities (e.g. hospitals) and infrastructure networks (e.g. transportation, gas, water, power etc.) that are the basis of life and economy of every community.
During a crisis, the Hospital Emergency Department not only should be safe and damage resistant, but it should be also functional. Therefore, an organizational model of the ED is presented using a discrete event simulation model and applied to the hospital network of San Francisco. Evacuation models from large-scale spaces such as malls, museums, while considering the effect of the human behavior and its emotions is also considered.
At the regional level, a method to take into account interdependencies for the evaluation of resilience is also presented and applied to the prefectures which were affected by March 11th 2011 Tohoku Earthquake in Japan. Interdependencies triggered by the debris between the built environment and the transportation network is also analyzed. A new formula to evaluate the debris affected area as function of the geometric characteristics of the masonry buildings is proposed. This strategy can be implemented in a virtual city model that is recognized useful for decision makers to quantify the performance of critical infrastructures following a disaster and to plan better resilience strategies to limit losses and downtime.
Finally, the use of new information technologies to improve resilience and disaster management is also investigated showing a new sensor system to be used during emergencies to track victims indoor.
The main objective of the course is to familiarize Structural Engineers with the advanced methods for resilience analysis of urban areas. The course will focus on the analysis of several case studies, mainly infrastructures and buildings.
At the end of the course, engineers and graduate students should be able to:
·Provide a quantification of resilience for different infratructures.
·Model and design urban areas using advanced methods.
·Analyze the impact of human behavior and of sensors on the analysis of large scale structures.
CLASS SCHEDULE
·3 lectures of 3 hours (9 hours total)
TOPICS COVERED
LECTURE 1: INTRODUCTION AND APPROACHES TO MEASURE RESILIENCE
LECTURE 2: APPLICATIONS TO CRITICAL FACILITIES, INFRASTRUCTURES AND COMMUNITIES
LECTURE 3: USED OF ADVANCED TECHNOLOGIES AND SENSORS TO IMPROVE RESILIENCE
CV of Dr. GP Cimellaro
Prof. Cimellaro primary field of investigation is Earthquake Engineering with emphasis on defining Quantification of Resilience of systems.
Prof. Cimellaro’s interdisciplinary research investigates representations of health system properties and processes, creating quantitative modeling solutions for a better understanding of sustainable use and resilience of systems that often challenges collaborating teams consisting of scientists, social scientists, engineers, lawyers and extension specialists across a wide spectrum of disciplines. His major contribution has been the quantification of the concept of disaster resilience in which a unified terminology and a common resilience framework is proposed that can be used for analyzing critical facilities (e.g. hospitals, military buildings, etc.), and utility lifelines (e.g. electric power systems, transportation networks, water systems etc.). His interdisciplinary recent research has focused on quantifying the social and economic impact of critical infrastructure disruption during disasters. The proposed framework can be used for describing the losses as well as the recovery process of any of the systems mentioned above; however, it can become more complex when comprehensive loss estimation or recovery models (e.g. meta-models for the case of health care facilities) are used. Even so, Dr. Cimellaro current research leads toward the definition of more complex recovery models that are able to describe the process over time and the spatial definition of recovery.
相关研究