Web-based integrated cloud CAE platform for large-scale finite element analysis

By Yusuke Ihara, Gaku Hashimoto, H. Okuda. 2017

10 citations recorded by the source corpus.

The cost of preparing analysis and data handling is remarkable compared with the speedup from parallelization. Several studies have reported for a problem solving environment (PSE) or a cloud computer aided engineering (CAE) service. However, few studies have covered part of CAE process. This paper proposes design of cloud CAE platform and development of a web-based all-in-one CAE system. The platform design takes account of applying to large-scale analyses by imaging methods and data structures. Assembling them, we provide cloud CAE services. As numerical examples, we apply the system to some finite element analysis models. We confirmed that this system has ability for CAE work which has a hundred million degrees of freedom.

Subfields: Industrial and Manufacturing Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Masanobu Horie
2. Yushi Ihara
3. Naoto Mitsume
4. Naoki Morita

Citations in the corpus

• Isometric Transformation Invariant and Equivariant Graph Convolutional Networks (2020, methodology): “…considering the first 200 shapes of the ABC dataset (Koch et al., 2019), generate first-order tetrahedral meshes with the mesher program Gmsh (Geuzaine & Remacle, 2009), and finally, performed finite element analysis (FEA) with the FEA program FrontISTR (Morita et al., 2016; Ihara et al., 2017).”