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Structural and Multidisciplinary Optimization - 巻 69 / 号 6

タイトル
著者 巻 号 ページ 年 PKV
Toward adaptive non-intrusive reduced-order models: design and challenges
Amirpasha Hedayat, Alberto Padovan, Karthik Duraisamy 69 6 151–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
A sequential robust design optimization method with application to aviation centrifugal pumps
Feng Jiang, Xianwei Liu, Jiangfeng Fu 69 6 150–None 2026 3.0
平均評価: 0.0 / 5 (0 件のレビュー)
Likelihood-informed model reduction for Bayesian inference of static structural loads
Jakob Scheffels, Elizabeth Qian, Elisabeth Ullmann 69 6 149–None 2026 4.0
平均評価: 0.0 / 5 (0 件のレビュー)
Continuation strategies to mitigate convergence to low-performing local optima in topology optimization of sound transmission loss
Tom De Weer, Vanessa Cool, Elke Deckers 69 6 148–None 2026 1.0
平均評価: 0.0 / 5 (0 件のレビュー)
Deblurring structural edges in variable thickness topology optimization via density-gradient-informed projection
Gabriel Stankiewicz, Chaitanya Dev, Paul Steinmann 69 6 147–None 2026 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
Parallelized complex method for multidisciplinary optimization of aeroelastic performance in thin-walled wing–engine system using bidirectional curvilinear fiber pathing
Sevda Namani Koureh, Hossein Shahverdi, Mohammadreza Amoozgar 69 6 157–None 2026 1.0
平均評価: 0.0 / 5 (0 件のレビュー)
VAE assisted generative design optimization based on deep Gaussian processes
Zebin Zhang, Gongyun Hou, Yaohui Li 69 6 156–None 2026 2.0
平均評価: 0.0 / 5 (0 件のレビュー)
Topology optimization for initial post-buckling structural response: an application of Koiter asymptotic theory
Cameron Smith, Bao Li, Graeme J. Kennedy 69 6 155–None 2026 1.0
平均評価: 0.0 / 5 (0 件のレビュー)
Derivative-free optimization is competitive for aerodynamic design optimization in moderate dimensions
Punya Plaban, Peter Bachman, Ashwin Renganathan 69 6 154–None 2026 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Boundary-dependent density-based topology optimization: toward strongly coupled viscothermal vibroacoustics
Jonathan Mirpourian, Niels Aage 69 6 153–None 2026 0.0
平均評価: 0.0 / 5 (0 件のレビュー)