Towards Intelligent Finite Element Analysis

Abstract

The aim of this research is the use of various artificial intelligence (AI) techniques to improve the performance of programs performing finite element analysis, a method that numerically solves differential equations that govern a physical situation. Typically, a finite element program requires extensive analysis and frequent interruption by a scientist, which reduces how much the scientist can learn about the phenomenon being studied by consuming the scientist's resources and time in the drudgery of mathematically conditioning the input to the finite element program. This work usually has no relation to the matter being studied. This thesis investigates whether AI can be used to reduce the time spent doing this type of work. Keywords: Machine learning, Intelligent numerical methods.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA228672

Entities

People

  • Alejandro G. Blanco

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Computer Programming
  • Computer Science
  • Convergence
  • Differential Equations
  • Elements
  • Finite Element Analysis
  • Illinois
  • Learning
  • Lisp Programming Language
  • Military Research
  • Modulus Of Elasticity
  • Nodes
  • Object Oriented Programming
  • Security
  • Universities

Readers

  • Artificial Intelligence
  • Computational Fluid Dynamics (CFD)
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks