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5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering - COMPDYN 2015
 
发布日期:2015/6/15      点击数:861

My name is Jelena Andrić and I am an International student at Harbin Institute of Technology, Harbin, China. Currently, I am in the 3rd year of my PhD degree in the School of Civil Engineering majoring in Disaster Risk Reduction, Prevention and Protective Engineering. My research topic is about computational techniques in disaster risk and resilience assessment of a bridge. 

I have participated in the joint 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering - COMPDYN 2015 and the 1st International Conference on Uncertainty Quantification in Computational Science and Engineering – UNCECOMP 2015 in Hersonissos, Crete Island, Grecece from May 25th to 27th. COMPDYN 2015 is the Thematic Conference of the European Community on Computational Methods in Applied Sciences (ECCOMAS), and it is a Special Interest Conference of the International association for Computational Mechanics (IACM) and has been promoted by the European Committee on Computational Solid and Structural Mechanics (ECCSM) of ECCOMAS. The purpose of the Conference is to bring together the scientific communities of Computational Mechanics, Structural Dynamics and Earthquake Engineering in an effort to facilitate the exchange of ideas in topics of mutual interests and to serve as a platform for establishing links between research groups with complementary activities. The communities of Structural Dynamics and Earthquake Engineering will benefit from this interaction, acquainting them with advanced computational methods and software tools which can highly assist in tackling complex problems in dynamic/seismic analysis and design, while also giving the Computational Mechanics community the opportunity to become more familiar with very important application areas of great social interest. The COMPDYN 2015 Conference is supported by the National Technical University of Athens (NTUA), the European Association for Structural Dynamics (EASD), the European Association for Earthquake Engineering (EAEE), the Greek Association for Computational Mechanics (GRACM) and the John Argyris Foundation.

 On this conference, I have presented my paper about „Seismic Resilience of a Bridge based on Fuzzy-probabilistic approach“. The co-author of my paper is my supervisor Professor Dr. LU Dagang. 

In this paper, a new model based on fuzzy-probabilistic approach for predicting seismic resilience of a bridge is proposed. Transportation systems represent critical infrastructures that play a major role in any country and their failure would have a great impact on the health, safety, economics and social well-being of society. Societies are impacted by natural disasters such as earthquake, hurricane, floods; and man-made disasters. When a disaster strikes, the performance of highway networks is vital for emergency response and recovery activities. Also, the reduced functionality of transportation network caused economic losses. In recent years, a lot of attention is paid to build resilient infrastructure systems that show reduced failure probabilities, reduced consequences from failure and reduced recovery time. Although in this paper, the focus is on the bridges, since these highway infrastructure components are the most vulnerable and fragile elements of the transportation network in case of seismic event. During the operation period, bridges are exposed to various risks which will cause damage and/or collapse of structures. The main purpose of this research is to use seismic resilience in decision making process for disaster management during the pre-disaster period. Another aim is to include contingency in resilience assessment. In previous research, uncertainties have not been fully considered in the proposed models for seismic resilience assessment. Since the residual functionality of bridges depends on its vague damage states, so it is presented by fuzzy triangular numbers. However, the both idle time interval and recovery duration are random in nature, so they are described as random variables. The Monte Carlo simulation is used for generating 10000 samples of these variables. Further, resilience is represented as fuzzy-random variable with corresponding fuzzy mean value and fuzzy standard deviation obtained from the generated and estimated data. The functionality of the system is therefore described as a fuzzy-random function which shape depends on the disaster preparedness of the system. The resilient curves are illustrated using fuzzy functions. A Java application is developed for purpose of resilience assessment. For a case study, a bridge in Santa Barbara is chosen. Further, the results are used for a decision making process about the disaster preparedness. 

Attending the conference was a great opportunity for me to listen to other speakers about their research and to learn new and interesting things from structural dynamics and earthquake engineering. Also, I met researchers who come from other Universities around the world and share the same interest as me in seismic resilience. It was a high-level conference. 

I want to express my gratitude and appreciation to the Harbin Institute of Technology and my great supervisor for sponsoring my participation in this conference. 

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