PREDICTION OF NONLINEAR TIME HISTORY DEFLECTION OF SCALLOP DOMES BY NEURAL NETWORKS

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KAMYAB R.; SALAJEGHEH E.

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Journal Paper

Paper Information

Journal: International Journal of Optimization in Civil Engineering Year:2011 | Volume:1 | Issue:3 Page(s): 397-417

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Title

PREDICTION OF NONLINEAR TIME HISTORY DEFLECTION OF SCALLOP DOMES BY NEURAL NETWORKS

Author(s)

KAMYAB R. | SALAJEGHEH E.

Keywords

EARTHQUAKE

NONLINEAR BEHAVIOUR

RADIAL BASIS FUNCTION

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

NEURAL NETWORK

Abstract

This study deals with predicting nonlinear time history deflection of scallop domes subject to EARTHQUAKE loading employing NEURAL NETWORK technique. Scallop domes have alternate ridged and grooves that radiate from the centre. There are two main types of scallop domes, lattice and continuous, which the latticed type of scallop domes is considered in the present paper.Due to the large number of the structural nodes and elements of scallop domes, nonlinear time history analysis of such structures is time consuming. In this study to reduce the computational burden RADIAL BASIS FUNCTION (RBF) NEURAL NETWORK is utilized. The type of inputs of NEURAL NETWORK models seriously affects the computational performance and accuracy of the network.Two types of input vectors: cross-sectional properties and natural periods of the structures can be employed for NEURAL NETWORK training. In this paper the most influential natural periods of the structure are determined by ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM (ANFIS) and then are used as the input vector of the RBF network. Results of illustrative example demonstrate high performance and computational accuracy of RBF network.

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APA: Copy

KAMYAB, R., & SALAJEGHEH, E.. (2011). PREDICTION OF NONLINEAR TIME HISTORY DEFLECTION OF SCALLOP DOMES BY NEURAL NETWORKS. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 1(3), 397-417. SID. https://sid.ir/paper/329338/en

Vancouver: Copy

KAMYAB R., SALAJEGHEH E.. PREDICTION OF NONLINEAR TIME HISTORY DEFLECTION OF SCALLOP DOMES BY NEURAL NETWORKS. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING[Internet]. 2011;1(3):397-417. Available from: https://sid.ir/paper/329338/en

IEEE: Copy

R. KAMYAB, and E. SALAJEGHEH, “PREDICTION OF NONLINEAR TIME HISTORY DEFLECTION OF SCALLOP DOMES BY NEURAL NETWORKS,” INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, vol. 1, no. 3, pp. 397–417, 2011, [Online]. Available: https://sid.ir/paper/329338/en

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