Abstract
The need for designing a high-reliability robust structural system has been increasing recently due to the demand for greater quality and reliability. This robust structural system design must satisfy the performance/cost/weight objective as well as the system reliability constraint, which is used to account for uncertainty existing in different failure models, loading conditions, and material properties. These uncertainties are modeled as random variables with proper distribution types, means, and standard deviations. For design variables which have uncertain bounds, random means are defined. To expedite the robust design process, approximate reliability constraints are used in the design optimization search process. The proposed system reliability-based design optimization method will be used to solve two demonstration examples,and the results will be compared with conventional design optimization methods.
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© 1994 Springer-Verlag, Berlin Heidelberg
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Torng, T.Y., Yang, R.J. (1994). Robust Structural System Design Using A System Reliability-Based Design Optimization Method. In: Spanos, P.D., Wu, YT. (eds) Probabilistic Structural Mechanics: Advances in Structural Reliability Methods. International Union of Theoretical and Applied Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-85092-9_35
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DOI: https://doi.org/10.1007/978-3-642-85092-9_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-85094-3
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