MS15 Advances on Probabilistic Life-cycle Analysis of Deteriorating Infrastructure
Associated Prof. Emilio Bastidas-Arteaga: emilio.bastidas@univ-nantes.fr
Session Chairs:
Emilio Bastidas-Arteaga, Associated Professor, University of Nantes, France emilio.bastidas@univ-nantes.fr
You Dong, Assistant Professor, The Hong Kong Polytechnic University, Hong Kong you.dong@polyu.edu.hk
Abdullahi Salman, Assistant Professor, The University of Alabama in Huntsville, USA ams0098@uah.edu
Yue Li, Professor, Case Western Reserve University, USA yxl1566@case.edu
Quanwang Li, Associated Professor, Tsinghua University, China li_quanwang@tsinghua.edu.cn
Marija Kuster Maric, Assistant Professor, University of Zagreb, Croatia marijak@grad.hr
Abstract of the special session:
Probabilistic life-cycle analysis allows managing in a comprehensive way the different deterioration processes and related uncertainties during the operational life of infrastructure. It is mainly based on physical or surrogate models able to deal, in a probabilistic framework, with deterioration processes, inspection data, conformity results, and repair operations. Several models have been recently developed to perform a widespread probabilistic life-cycle analysis; however, service life prediction is still a challenging task because of the complexity of the deterioration processes as well as the associated uncertainty and spatial variability. Within this framework, this special session aims at bringing researches and practitioners to exchange about recent advances for probabilistic life-cycle analysis of deteriorating infrastructure. The topics include, but are not limited to, the following topics:
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