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Método de Confiabilidade de Segunda Ordem (SORM)×Response Surface Desirability Function×
ÁreaEngenharia de confiabilidadeEngenharia de confiabilidade
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19791951
Autor originalBernd FiesslerGeorge Box and Kenneth Wilson
TipoReliability analysis methodOptimization methodology
Fonte seminalFiessler, B., Neumann, H. J., & Rackwitz, R. (1979). Quadratic limit states in structural reliability. Journal of the Engineering Mechanics Division, 105(4), 661-676. DOI ↗Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, 13(1), 1-45. DOI ↗
Outros nomesSORM, Second-order approximationRSM, Desirability function, Multi-response optimization
Relacionados44
ResumoThe Second-Order Reliability Method (SORM) is an extension of FORM that improves failure probability estimates by accounting for the curvature of the limit-state surface at the design point. Introduced by Fiessler, Neumann, and Rackwitz in 1979, SORM provides more accurate approximations for nonlinear failure surfaces while remaining computationally efficient. It has become the standard refinement when FORM accuracy is insufficient.Response Surface Methodology (RSM) is a set of statistical and mathematical techniques for modeling and optimizing processes with multiple inputs (factors) and outputs (responses). The Desirability Function approach, introduced by Harrington (1965) and refined by Derringer and Suich (1980), extends RSM to solve multi-response optimization problems by combining competing objectives into a single index. This methodology is essential in product and process development where engineers must balance performance, cost, and reliability.
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ScholarGateComparar métodos: Second-Order Reliability Method · Response Surface Desirability Function. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare