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1983-2013: 30 Years of Civil-Comp Conferences

CC2013
The Fourteenth International Conference
on Civil, Structural and Environmental
Engineering Computing
Cagliari, Sardinia, Italy
3-6 September 2013
CC2013-S05
Stochastic Structural Optimization: Stationary and Dynamic Problems
organised by Prof. K. Marti
Federal Armed Forces University Munich, Germany
and Prof. M. Beer
University of Liverpool, UK
Session Aims and Scope
The continuous pursuit of ever more demanding end-user and environmental objectives is driving the requirements for sophisticated engineering and economic tools. Prime tools, which offer the possibility of facing the challenge successfully, are applied stochastics and optimization. Applied stochastics and optimization do not belong entirely to a specific field, but span across a range of human activities as e.g. Theoretical and Applied Mathematics, Numerical Analysis, Computer and Natural Sciences, Optimal Control, Continuum Mechanics, Material Sciences, Economics, Operations Research, etc.

Engineering structures, dynamic systems and mechanical components are affected by uncertainties, both caused by lack of sufficient knowledge of the systems (e.g., manufacturing defects and imperfections, heterogeneous material properties, etc.) or by natural unpredictable external events (e.g., earthquakes, wind loading, wave excitation, etc.). A design or control optimization procedure that does not take into account random variations of the model and environmental parameters, initial values, external loadings, payload, etc., may lead to fictitious results or even to unsafe components. Stochastic Optimization provides a well-suited framework to determine an optimal design or control coping with such uncertainties.

Hence, the original control and or optimization problem with unknown, random varying parameters must be replaced by an appropriate deterministic substitute problem incorporating the available a priori and sample information about the random parameters. Typical deterministic substitute problems demand then the minimization and/or restriction of expected costs (primary and recourse costs). Important examples of expected cost functions are failure probability functions.

The Special Session focuses on optimal design strategies that are robust against the involved uncertainties and risks. Hence, contributions on approximation concepts, simulation techniques, analytical and numerical methods to solve deterministic substitute problems, including reliability-based optimization problems are welcome as well as papers on applications to several concrete fields such as structural mechanics, feedback control, open-loop feedback control, nonlinear model prediction control under uncertainty.

Organisers
For specific questions regarding the scope of this session please contact the organiser:
  • Prof. Prof. K. Marti
    Federal Armed Forces University Munich, Germany
    (kurt.marti AT unibw-muenchen.de)
  • Prof. M. Beer
    Institute for Risk & Uncertainty and School of Engineering
    University of Liverpool, UK
    (m.beer AT liverpool.ac.uk)

Please note that papers that are found to fall outside the scope of this session may be considered for other sessions.

Abstract Submission
To submit abstracts for this special session, please follow the normal abstract submission procedure but please select "CC2013-S05" when asked "Is this paper part of a special session?"
Continue: Call-for-Papers