Analysis of above-ground pipelines on unilateral supports: a neural network approach |
| |
| Affiliation: | 1. Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, Iran;2. Faculty of Mechanical Engineering, Hakim Sabzevari University, Sabzevar, Iran;1. MOE Key Laboratory of Petroleum Engineering, China University of Petroleum, Beijing, 102249, China;2. The College of Mechanical and Transportation Engineering, China University of Petroleum, Beijing, 102249, China;1. School of Metallurgy and Materials Engineering, College of Engineering, University of Tehran, Tehran, Iran;2. Research & Technology Affairs, Tehran Province Gas Company, Tehran, Iran |
| |
| Abstract: | A neural network approach is proposed for the effective numerical treatment of the analysis problem of above-ground pipelines on unilateral supports. As is well known, the structural response of such pipelines can be effectively described by monotone problems having the form of quadratic minimization problems with inequality constraints. In order to numerically treat these quadratic problems, the methods of the theory of neural networks are applied. Within such a neural network computing framework, the Hopfield model is first appropriately generalized, and then a neural network model covering the case of inequalities is proposed. A numerical application illustrates the proposed neural network method. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
