ANALYSIS AND DESIGN CIRCULAR TUNNELS UNDER EARTHQUAKE LOADS BY ARTIFICIAL NEURAL NETWORK
Publish Year: 1390
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
SEE06_370
تاریخ نمایه سازی: 16 اردیبهشت 1390
Abstract:
In general effect of earthquake design loads on underground constructions, confided by soil, assessed in strain and deformation of those constructions. In this paper ovaling deformation and forces, created by soil-structure interaction, under earthquake loads, evaluated and results arecompared by artificial neural network and analytical approaches (closed form) in a twodimensional space for circular tunnels. We used Multi Layer Perceptron (MLP) and Radial Basis Function (RBF) networks. Results between MLP and RBF networks are compared and finally considered little diversity. In some cases MLP was better and other cases RBF. At the end benefits of artificial neural network and its power in circular tunnels analysis were clear.
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Authors
f Soltani
Department of Survey and Civil Engineering, Kerman Graduate University of Technology, Kerman, Iran
f Qassemi
Department of Survey and Civil Engineering, Kerman Graduate University of Technology, Kerman, Iran
e Sadrossadat
Department of Survey and Civil Engineering, Kerman Graduate University of Technology, Kerman, Iran
a Qassemi
Department of Electrical Engineering, Shiraz University, Shiraz, Iran
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