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An Adaptive Computational Framework for Structural Shape Optimization: Deterministic and Robust Formulations
mathematicsnatural-sciencesoptimizationpartial-differential-equationsshape-optimizationtopology-optimization
This thesis develops, analyzes, and implements a computationally efficient, fully adaptive algorithmic framework for robust structural shape optimization problems governed by the linear elasticity system, with the objective of minimizing the expected compliance of structures subjected to uncertainti
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