COMPDYN 2015
By admin on 2015-06-18

 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering - COMPDYN 2015

My name is Jelena Andri? 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 theEuropean 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 link 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.