Neural networks for assessing the failure load of a construction

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:168

Article; Proceedings Paper

Vanlaere, W ; Buffel, P ; Lagae, G ; Van Impe, R ; Belis, J

关键词: neural networks;    failure load;    lower bound;    I-beam;   

DOI  :  10.1016/j.cam.2003.12.005

来源: Elsevier

【 摘 要 】

In this contribution, neural networks are applied to the field of structural engineering. The prediction of the failure load of a construction is a tedious task if one considers the geometrical imperfections of the construction. Experiments on models in a laboratory lead to test results. The guaranteed strength of a construction can be found by searching for a lower bound of the test results. In this contribution, this lower bound is obtained with neural networks. The method is based on the knowledge of the tolerances on the geometrical features of the construction. (C) 2004 Elsevier B.V. All rights reserved.

【 授权许可】

Free