面向高校大类招生质量评估的跨尺度结构拓扑优化模型

Structural cross-scale topology optimization can realize collaborative design of microstructure and macrostructure, based on which a quantitative model for the enrollment quality assessment is proposed. The main works of the study include: establish the quantification microstructure mapping individual enrollment performance, enrollment category and category loyalty to microstructure volume fraction, feature correlation and performance reduction; construct surrogate model for the equivalent elastic matrix based on artificial neural network and multiscale finite element method (MFEM); construct the cross-scale topology optimization model to evaluate the enrollment quality. Base on the proposed method, the enrollment quality of a certain category of Northwestern Polytechnical University in the past three year ievaluated, which guides the optimization of the college enrollment policy.