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Structural and Multidisciplinary Optimization - 巻 67 / 号 5

タイトル
著者 巻 号 ページ 年 PKV
A graph-based methodology for constructing computational models that automates adjoint-based sensitivity analysis
Victor Gandarillas, Anugrah Jo Joshy, John T. Hwang 67 5 76–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Dual multi-objective optimization design method for compliant guide mechanism
Zhihong Sun, Chengxin Zheng, Yikun Yang 67 5 75–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Mapping structural topology optimization problems to quantum annealing
Xiaojun Wang, Zhenghuan Wang, Bowen Ni 67 5 74–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Multi-material topology optimization based on enhanced alternating active-phase algorithm
Cheng Yan, Haowei Guo, He Liu 67 5 73–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A new cross-section layout method and geometrical parameter optimization for floor beams of rack car body considering modal factors
Xiangyun Yin, Ruiwen Chen, Guofu Yin 67 5 72–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
An efficient latent map multi-fidelity Kriging model and adaptive point-selected strategy for reliability analysis with time-consuming simulations
Cao Tong, Qi Zhang, Xinyue Dong 67 5 71–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Lightworks, a scientific research framework for the design of stiffened composite-panel structures using gradient-based optimization
Sascha Dähne, Edgar Werthen, Christian Hühne 67 5 70–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A hybrid machine learning and evolutionary approach to material selection and design optimization for eco-friendly structures
Luis Yepes Llorente, Joseph Morlier, Krishnan Suresh 67 5 69–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Topology optimization of radial flow field PEM fuel cells for enhancing water management
Fereshteh Razmara, Luís F. N. Sá, Emílio C. N. Silva 67 5 68–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Topology optimization of broadband acoustic transition section: a comparison between deterministic and stochastic approaches
Abbas Mousavi, Andrian Uihlein, Eddie Wadbro 67 5 67–None 2024 0.0
平均評価: 0.0 / 5 (0 件のレビュー)