Paper Title:
Urban Railway Bridge Fast Evaluation Based on Cloud Computing
  Abstract

Although modern bridge are carefully designed and well constructed, damage may occur in them due to unexpected causes. Currently, many different techniques have been proposed and investigated in bridge condition assessment. However, evaluation efficiency of condition assessment has not been paid much attention by the researchers. A fast evaluation of the urban railway bridge condition based on the cloud computing is presented. In this paper dynamic FE model and Artificial neural networks technique is applied to model updating. The cloud computing model provides the basis for fast analyses. It was found that when applied to the actually railway bridges, the proposed method provided results similar to those obtained by experts, but can improve efficiency of bridge

  Info
Periodical
Chapter
Chapter 8: Frontiers of Construction Information
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4501-4505
DOI
10.4028/www.scientific.net/AMM.71-78.4501
Citation
M. Chen, W. Zhou, "Urban Railway Bridge Fast Evaluation Based on Cloud Computing", Applied Mechanics and Materials, Vols. 71-78, pp. 4501-4505, 2011
Online since
July 2011
Authors
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Price
$32.00
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