DETERMINATION OF CRITICAL DISTANCE IN BRIDGE WITH DIFFERENET PROPERTIES USING NEURAL NETWORK

Document Type : Research Paper

Authors

1 Islamic Azad University

2 Civil Eng. Dep., Eng. Faculty

3 Department of Civil Engineering, Technical & Engineering Faculty, Semnan Branch, Islamic Azad University, Semnan , Iran

Abstract

Undoubtedly, bridges have substantially effect in metropolitan areas and are usually built to connect between two roads in order to decrease traffic. Pounding, is one of the important parameters to design different bridges Pounding, is one of the important parameters to design different bridges as this structures should be controlled during seismic excitation to provide safety conditions in order to organize and support unpredictable situations. During very strong earthquake, bridges may experience large horizontal relative displacement, which may lead to pounding if sufficient gap size is not considered between adjacent slabs of bridge. Insufficient separation distance is naturally caused to collide between two slabs and, subsequently, stiffness of bridge is decreased and finally, collapse is occurred. In order to determine critical distance between two slabs, a mathematical program is used based on neural network to coordinate the result of analyses in order to calculate sufficient separation distance for avoiding collisions during earthquake.

Keywords

References

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History

  • Receive Date: 09 August 2020
  • Revise Date: 07 September 2020
  • Accept Date: 03 November 2020

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