Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Construction of Automatic Identification System for Bridge Structural Parameters Based on Improved Damage Algorithm

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342641,
        author={Baoshun  Liu},
        title={Construction of Automatic Identification System for Bridge Structural Parameters Based on Improved Damage Algorithm},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={improved damage algorithm bridge structure parameters automatic identification system sensitivity matrix},
        doi={10.4108/eai.17-11-2023.2342641}
    }
    
  • Baoshun Liu
    Year: 2024
    Construction of Automatic Identification System for Bridge Structural Parameters Based on Improved Damage Algorithm
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342641
Baoshun Liu1,*
  • 1: School of Road Bridge and Architecture, Chongqing Vocational College of Transportation, Chongqing, 402247, China
*Contact email: baoshun2000@163.com

Abstract

As a type of transportation building, bridges can help pedestrians cross rivers, lakes, and seas. However, in addition to serving as infrastructure, they can also take on aesthetic responsibilities in some landscape designs. In addition to considering their practicality and stability, bridge structural design also needs to consider appearance and aesthetics at certain times. In order to build a qualified bridge and ensure its safety, the parameters need to be strictly designed. Therefore, this paper proposes a related Automatic identification system based on the improved damage algorithm, which can automatically analyze and access the bridge structural parameters, and calculate and predict the damage degree of bridge building materials. These data can also be fed back to users through the Automatic identification system.