Data-Driven Finite Element Models of Passive Filamentary Networks
A data-driven procedure is introduced to construct finite element models of heterogeneous systems for which an accurate microscopic description is available. A filter to define coarsened finite element nodal values is defined from the principal modes obtained by singular value decomposition of the m...
Saved in:
Main Authors: | Brian Adam, Sorin Mitran |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/6878265 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Integrating the Finite Element Method with a Data-Driven Approach for Dam Displacement Prediction
by: Chenfei Shao, et al.
Published: (2020-01-01) -
Finite-Time Passivity of Stochastic Coupled Complex Networks
by: Xunwu Yin, et al.
Published: (2021-01-01) -
Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling
by: Changmin Shi, et al.
Published: (2025-01-01) -
Developing an Extended IFC Data Schema and Mesh Generation Framework for Finite Element Modeling
by: Zhao Xu, et al.
Published: (2019-01-01) -
An Approach to Automatic Building Information Modeling-Based Generation of Finite Element Models of Different Complexity and Finite Element Dimensionality
by: Iryna Rudenko, et al.
Published: (2025-01-01)