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Quantile-Based RBDO with PC-Kriging Model by joker hot is a document available to read on EtoBox.

This article presents a basis-adaptive Polynomial Chaos-Kriging (PC-Kriging) surrogate model aimed at improving Reliability-Based Design Optimization (RBDO) for complex engineering structures under uncertainties. The proposed model combines the strengths of existing metamodels to enhance predictive accuracy while reducing computational costs, and is validated through five engineering case studies. Results demonstrate that the basis-adaptive PC-Kriging model outperforms traditional methods such as Support Ve

Author
joker hot
Language
EN