Abstract

AbstractA computational procedure for robust-to-modeling and robust-to-change design of structural systems is proposed with application to planar rigid frames. A structure is considered robust when it is least sensitive to changes that alter its system coefficients (stiffness matrix for static loading). The upper limits of change from perturbations in the stiffness matrix are available from linear algebra; however, what is not clear is an ideal pattern of material allocation throughout the structure, or a preferred preliminary model from a set of viable models, such that it results in a final design that has low error bounds while satisfying the limit states of performance and safety. Because gradient-based optimization is not feasible, the authors rely on statistical simulation techniques to study the variation of error upper bounds in structural response when the system is subjected to changes in its components (elasticity, cross-sectional dimensions, member lengths). Application of the methodology to l...

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