Recent breakthroughs in computing power have made it feasible to use machine learning and deep learning to advance scientific computing in many fields, including fluid mechanics …
JH Zhu, WH Zhang, L Xia - Archives of computational methods in …, 2016 - Springer
Topology optimization has become an effective tool for least-weight and performance design, especially in aeronautics and aerospace engineering. The purpose of this paper is …
" The art of structure is where to put the holes" Robert Le Ricolais, 1894-1977 This is a completely revised, updated and expanded version of the book titled" Optimization of …
J Du, N Olhoff - Structural and Multidisciplinary Optimization, 2007 - Springer
A frequent goal of the design of vibrating structures is to avoid resonance of the structure in a given interval for external excitation frequencies. This can be achieved by, eg, maximizing …
S Lee, H Kim, QX Lieu, J Lee - Knowledge-Based Systems, 2020 - Elsevier
Effectiveness of several currently popular topology optimization methods is closely related to the number of design variables consisted of discretized finite elements. Since the number of …
The dynamics of engineering structures are of great importance for topology optimization problems in both academia and industry. However, for design problems where broadband …
SA Faroughi, NM Pawar… - Journal of …, 2024 - asmedigitalcollection.asme.org
Advancements in computing power have recently made it possible to utilize machine learning and deep learning to push scientific computing forward in a range of disciplines …
GH Yoon - Computer Methods in Applied Mechanics and …, 2010 - Elsevier
This study uses model reduction (MR) schemes such as the mode superposition (MS), Ritz vector (RV), and quasi-static Ritz vector (QSRV) methods, which reduce the size of the …