[1]ZHANG Peng,ZHONG Shan,ZHU Rui,et al.Evaluating Technical Condition of Stone Arch Bridge Based on Entropy Method-Cloud Model[J].Journal of Zhengzhou University (Engineering Science),2022,43(01):69-75.
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
43
Number of periods:
2022 01
Page number:
69-75
Column:
Public date:
2022-01-09
- Title:
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Evaluating Technical Condition of Stone Arch Bridge Based on Entropy Method-Cloud Model
- Author(s):
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ZHANG Peng; ZHONG Shan; ZHU Rui; JIAO Meiju
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School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China
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- Keywords:
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bridge engineering; technical status; cloud model; entropy method; stone arch bridge
- CLC:
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U448.22
- DOI:
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- Abstract:
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In view of the differences in the identification of disease scales by different technicians in the current process of stone arch bridge technical condition assessment, a method for assessing the technical condition of stone arch bridges based on the entropy method-cloud model was proposed, which based on the existing assessment standards for stone arch bridges. Firstly, the method converted the comment set and evaluation data into a cloud model. Then it used the entropy method to adjust the weights of the stone arch bridge components and introduced the combined fuzzy pasting schedule method calculating the similarity to obtain the evaluation results. Finally, taking a stone arch bridge as an example, the applicability of this method in the evaluation of the technical condition of stone arch bridges was explored, and the results showed that: the evaluation results of the stone arch bridge were classified into 4 categories and the evaluation results of the cloud model were consistent with the results obtained by the “Highway Bridge Technical Condition Evaluation Standards” method, which were in line with the on-site inspection results. The method took into account the subjective randomness of the disease scale determination and the actual difference of the engineering project, which could provide a more scientific and reasonable decision-making basis for the maintenance of stone arch bridges.