Organization of mini-symposium at ICASP12

Events

The 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12) took place in Vancouver, Canada on 12-15 July 2015. This major conference in the field of structural reliability and probabilistic methods in engineering is held every four years.

The Chair co-organized a mini-symposium on Surrogate models for uncertainty quantification, reliability analysis and robust design. You can find more information about the mini-symposium below.

Surrogate models for uncertainty quantification, reliability analysis and robust design

Description

Structural reliability methods and more generally, methods that aim at taking into account model- and parameters uncertainty have received much attention in the mechanical, civil, and aerospace engineering communities over the past two decades. Some well-known methods such as FORM/SORM for reliability analysis, spectral methods for stochastic finite element analysis, global sensitivity analysis (Sobol’ indices), etc. are nowadays applied in an industrial context, e.g. nuclear, aerospace, and automotive industries, among others.

However, accurate computational models (e.g., finite element analysis) of complex structures or systems are often costly. A single run of the model may last minutes to hours, even on powerful computers. In order to use these models for reliability analysis and reliability-based design optimization, which require repeated calls to the computational code, it is necessary to develop a substitute that may be evaluated thousands to millions of times at low cost: these substitutes are referred to as meta-models or surrogate models.

The aim of this mini-symposium is to confront various kinds of meta-modeling techniques in the context of uncertainty propagation including classical response surfaces, polynomial chaos expansions, Kriging, support vector regression, neural networks, sparse grid interpolation, etc. Papers that present new methodology developments as well as large scale industrial applications that make use of surrogate models are welcome.

Organizing Committee

  • Prof. Bruno Sudret, ETH Zurich, Switzerland
  • Prof. Sankaran Mahadevan, Vanderbilt University, USA
  • Prof. Samy Missoum, University of Arizona, USA 
  • Prof. Jean-Marc Bourinet, Institut Français de Mécanique Avancée, France
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