Neural Network Approaches in Structural Mechanics Computations

by Daniel R. Rehak, Carnegie Mellon Univ, United States,
Christopher R. Thewalt, Carnegie Mellon Univ, United States,
Lip B. Doo, Carnegie Mellon Univ, United States,

Document Type: Proceeding Paper

Part of: Computer Utilization in Structural Engineering


The neural computing paradigm has not been extensively researched in terms of its applicability to a wide variety of structural engineering problems. At an intellectual level this research aims to increase our understanding of the role of neural network technology in the structural mechanics domain and to demonstrate its applicability over a variety of applications beginning with the transition of the paradigm from pure research to applications and use. At a technical level the work includes detailed explorations to the diversity of the different neural models and computing architectures, both in serial and parallel computing environment, demonstrating strengths, weaknesses, and extending the technological base as rquired for applications.

Subject Headings: Neural networks | Structural mechanics | Structural analysis | Structural systems | System analysis | Structural response | Structural design | Computer aided design

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