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Comprehensive durability assessment of in-service concrete bridges based on combination weighting and extenics cloud model
In recent years, with the continuous development of urban transportation, the durability of concrete bridge structures has become increasingly prominent. Many in-service concrete bridges exhibit issues such as cracks, excessive deflection, and a significant reduction in load-bearing capacity during their service life. To meet the requirements of sustainable development, it is urgent to assess the durability of bridges accurately. Therefore, this paper establishes a scientific and reliable evaluation index system for the durability of in-service concrete bridges. Based on a review of the literature and relevant standards and specifications, this paper establishes an evaluation index system for the durability of in-service concrete bridges and calculates the weights using a combination weighting method. The durability of the bridges is assessed using the extension cloud model theory, and MATLAB is utilized for efficient and accurate computation and analysis, ultimately determining the durability grades of the bridges. The method was applied to the durability assessment of five in-service concrete bridges, and the results were in high agreement with the measured data, proving its effectiveness and accuracy. The research results provide a scientific basis for the management and maintenance of concrete bridges, which can help extend their service life. Future studies will expand the sample to cover more bridge types to comprehensively assess and enhance the durability of bridges.
A scientific and reliable durability evaluation index system for in-service concrete Bridges has been established.
Weight optimization: Based on grey correlation weight and entropy weight to find the combined weight.
The perfect integration of extension theory and cloud model.
Comprehensive durability assessment of in-service concrete bridges based on combination weighting and extenics cloud model
In recent years, with the continuous development of urban transportation, the durability of concrete bridge structures has become increasingly prominent. Many in-service concrete bridges exhibit issues such as cracks, excessive deflection, and a significant reduction in load-bearing capacity during their service life. To meet the requirements of sustainable development, it is urgent to assess the durability of bridges accurately. Therefore, this paper establishes a scientific and reliable evaluation index system for the durability of in-service concrete bridges. Based on a review of the literature and relevant standards and specifications, this paper establishes an evaluation index system for the durability of in-service concrete bridges and calculates the weights using a combination weighting method. The durability of the bridges is assessed using the extension cloud model theory, and MATLAB is utilized for efficient and accurate computation and analysis, ultimately determining the durability grades of the bridges. The method was applied to the durability assessment of five in-service concrete bridges, and the results were in high agreement with the measured data, proving its effectiveness and accuracy. The research results provide a scientific basis for the management and maintenance of concrete bridges, which can help extend their service life. Future studies will expand the sample to cover more bridge types to comprehensively assess and enhance the durability of bridges.
A scientific and reliable durability evaluation index system for in-service concrete Bridges has been established.
Weight optimization: Based on grey correlation weight and entropy weight to find the combined weight.
The perfect integration of extension theory and cloud model.
Comprehensive durability assessment of in-service concrete bridges based on combination weighting and extenics cloud model
Discov Appl Sci
Cai, Jie (author) / Liu, Xiaoxiao (author) / Wang, Zhipeng (author)
2024-10-09
Article (Journal)
Electronic Resource
English
In-service concrete bridges , Durability assessment , Grey theory , Entropy weight method , Matter-element extension theory , Matlab Engineering , Engineering, general , Materials Science, general , Earth Sciences, general , Applied and Technical Physics , Chemistry/Food Science, general , Environment, general
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