Powered by Engineering Brain, Japan | What is PKV? | PKV Methodology | KnowledgeRank v4.0.0: PKV Trends of My Authored Papers Are Now Available on My Page

Structural and Multidisciplinary Optimization - 巻 66 / 号 1

タイトル
著者 ページ PKV
Moving morphable curved components framework of topology optimization based on the concept of time series
Zonghao Li, Xueyan Hu, Weiqiu Chen 66 1 19–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A high-dimensional optimization method combining projection correlation-based Kriging and multimodal parallel computing
Peng Hao, Hao Liu, Bo Wang 66 1 18–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Topology optimization under microscale uncertainty using stochastic gradients
Subhayan De, Kurt Maute, Alireza Doostan 66 1 17–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A reinforcement learning hyper-heuristic in multi-objective optimization with application to structural damage identification
Pei Cao, Yang Zhang, J. Tang 66 1 16–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Structural topology optimization considering both manufacturability and manufacturing uncertainties
Chao Wang, Bin Xu, Jianhua Rong 66 1 15–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Experimental verification: a multi-objective optimization method for inversion technology of hydrodynamic journal bearings
Jingjun Zhang, Liming Lu, Xuanjun Huang 66 1 14–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
Variable functioning and its application to large scale steel frame design optimization
Amir H. Gandomi, Kalyanmoy Deb, Mohammad Nabi Omidvar 66 1 13–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A detailed introduction to density-based topology optimisation of fluid flow problems with implementation in MATLAB
Joe Alexandersen 66 1 12–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A 172-line Matlab code for structural topology optimization in the body-fitted mesh
Zicheng Zhuang, Yi Min Xie, Shiwei Zhou 66 1 11–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)
A 168-line MATLAB code for topology optimization with the adaptive bubble method (ABM)
Daoyuan Yu, Shouyu Cai, Weihong Zhang 66 1 10–None 2023 0.0
平均評価: 0.0 / 5 (0 件のレビュー)