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University of Illinois at Urbana-Champaign

A multiscale computational framework for the simulation of local features in large structures

Abstract

dc:description

In many engineering applications, it is necessary to account for interactions among multiple spatial scales through numerical simulations. Resolving fine-scale features such as geometrical details, cracks, and localized nonlinearities with high fidelity is crucial for the accurate prediction of the response and service life of structural components. Three-dimensional models with detailed meshes and advanced modeling techniques are usually required to accurately capture fine scale responses. However, adopting such models on the structural/global scale is computationally inefficient and sometimes unfeasible for problems involving a large number of local features. In most engineering applications, coarse 3-D or shell models are often sufficient for predicting the global response and hence are commonly adopted at the global scale. On the other hand, in critical regions, 3-D solid models and adaptive discretization methods are needed to capture fine-scale phenomena. Thus, the challenge lies in how to efficiently link models and discretizations at different scales. This work presents a multiscale computational framework based on the Generalized/eXtended Finite Element Method with global--local enrichments (GFEMgl) and the iterative global—local (IGL) method aiming at capturing localized responses with high accuracy and computational efficiency. In this framework, the GFEMgl is capable of capturing localized thermomechanical responses on coarse meshes via enrichment functions provided by parallel simulations of local boundary value problems where local features are accurately modeled and resolved. The IGL, in turn, provides a robust and non-intrusive approach to establishing a two-way coupling between global and fine-scale models. Additionally, as many closed- and open-source simulation tools are being developed nowadays, this framework enables engineers to perform co-simulation with multiple solvers based on the desired computational capabilities at different scales. A series of systematic numerical studies are conducted on a range of three-dimensional applications involving material nonlinearities, multiphysics responses, and fractures. Various attributes of the framework are assessed on benchmark problems and compared against reference numerical methods. The results show that the proposed methodology can deliver high fidelity solutions comparable to those obtained from a direct finite element analysis while offering promising computational efficiency. In addition, it is demonstrated that the user-time required for setting up models and discretizations for large representative problems can be noticeably reduced by utilizing the proposed framework.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Civil Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Li, Haoyang
Contributors dc:contributor
  • Duarte, Carlos Armando
  • Masud, Arif
  • Olson, Luke
  • Eason, Thomas, III G.

Subjects

dc:subject × 13

Rights

dc:rights
Statement dc:rights
  • Copyright 2020 Haoyang Li
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/108335
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/108335

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Li, Haoyang. A multiscale computational framework for the simulation of local features in large structures. Dissertation thesis, University of Illinois at Urbana-Champaign, 2020. http://hdl.handle.net/2142/108335