However, structures 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 optimization procedure that does not take into account these uncertainties may lead to fictitious results or even to unsafe components. Reliability-based optimization (RBO) provides a well-suited framework do determine the optimal design considering such uncertainties. However, both reliability and optimization schemes are computationally demanding, thus combining directly the two procedures leading to excessive numerical efforts. Application of approximate methods and advanced simulation methods is the key issue to reach feasible solutions to practical and realistic RBO problems. Additionally, efficient optimum search algorithms can be used to reduce the number of candidate design evaluation.
This session focuses on the recent advances on RBO of stationary and dynamic problems. Some particular topics and applications of this organized session include, but are not limited to: approximation concepts and meta-models; gradient-based optimization algorithms; stochastic search and stochastic optimization methods; reliability and sensitivity analysis; numerical solution and simulation methods; stochastic dynamical excitation; high dimensional problems; probabilistic and non-probabilistic formulations; optimal control under stochastic uncertainty; etc. Papers that address either methodological developments or novel applications in topics related to reliability based optimization of structural and mechanical systems are welcome for presentation in this special session.