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Structural and Multidisciplinary Optimization - 巻 69 / 号 3

タイトル
著者 巻 号 ページ 年 PKV
Robust discrete variable topology optimization for continuum structures under load and material uncertainties
Peihan Chen, Zhenzeng Lei, Dixiong Yang 69 3 60–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
Multi-material topology optimization considering thin joint via dissimilar material interface orientation
Yifan Shi, Il Yong Kim 69 3 59–None 2026 7.0
平均評価: 0.0 / 5 (0 件のレビュー)
Crashworthiness study of aluminum/carbon fiber-reinforced polymer hybrid square tubes based on multivariable simulation and multi-objective optimization
Na Nie, Qihua Ma, Xuehui Gan 69 3 58–None 2026 4.0
平均評価: 0.0 / 5 (0 件のレビュー)
Optimal design of retaining walls under seismic loading using a hybrid analytical–numerical approach
Kaveh Dehghanian 69 3 57–None 2026 3.98
平均評価: 0.0 / 5 (0 件のレビュー)
Toflux: a differentiable topology optimization framework for multiphysics fluidic problems
Rahul Kumar Padhy, Krishnan Suresh, Aaditya Chandrasekhar 69 3 56–None 2026 7.0
平均評価: 0.0 / 5 (0 件のレビュー)
A novel simplified approach for calculating optimal cable pre-tensioning forces in symmetrical cable-stayed bridges
Meysam Ravan, Amirhossein Tamimi, Amir Reza Ghiami Azad 69 3 55–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
A latent space approach to multi-material topology optimization
Saketh Sridhara, Gaurav G. Deodhare, Krishnan Suresh 69 3 54–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
Multi-material synergistic design of high-strength steel guardrails: integrating Qm850/Q355 alloys and energy-absorbing structures for enhanced safety and sustainability
ZENG Juncheng, WU Dehua, LI Guanghao 69 3 53–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
A memory-efficient adjoint method to enable billion parameter optimization on a single GPU in dynamic problems
Leon Herrmann, Tim Bürchner, Stefan Kollmannsberger 69 3 52–None 2026 5.0
平均評価: 0.0 / 5 (0 件のレビュー)
An efficient reinforcement learning action strategy for topology optimization: application to muffler design
Kee Seung Oh, Yoon Young Kim, Joo Hwan Oh 69 3 51–None 2026 7.0
平均評価: 0.0 / 5 (0 件のレビュー)