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An adaptive double-loop reliability-based design optimization method for solving structural nonlinear problems
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DOI：10.1016/j.probengmech.2025.103793.png)
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Abstract
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• Adaptive strategy improves the efficiency of RBDO in dealing with nonlinearity. • Uniform samples generated by DS method for active learning and reliability analysis. • Active learning strategies consider confidence domain and ergodicity of samples. • Adaptive genetic algorithm boosts convergence and accuracy in nonlinear optimization.
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