Mini symposia/Special sessions

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:

  • Numerical simulation (e.g., physically based or surrogate models) of degradation processes and inspection and maintenance operations in construction materials, e.g. chloride ingress in concrete, timber decay, steel corrosion, etc.
  • Approaches for uncertainty and spatial variability quantification of deterioration processes.
  • Calibration and validation of service life prediction models to specific micro-climate, local environmental exposure conditions.
  • Probabilistic service life prediction considering climate change effects.
  • Case studies on performance-based durability design of infrastructure.
  • Application of conformity results, on-site testing and structural health monitoring in service life prediction.
  • Determination of residual service life of existing structures and assessment of service life prolongation due to structural protection and repair.
  • Determination of the threshold values of durability performance indicators and the structure service life end
  • Assessment of existing structures with inclusion of time dependent degradation
  • Decision making for mitigation strategies of infrastructure systems State of the art reviews related to the above-mentioned topics

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