skip to main content
10.1145/3495018.3501072acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiamConference Proceedingsconference-collections
research-article

Research on Mathematical Calculation of Bridge Health Monitoring System based on BIM Model Time History Analysis

Authors Info & Claims
Published:14 March 2022Publication History

ABSTRACT

Bridge health monitoring system is a vital Technogym for the safety operation of bridges, which has been applied in the domestic and international numerous bridge project. Traditional bridge health monitoring system, however, there are huge amounts of data unreadable, shortcomings and so on under the emergency difficult to assess. Based on BIM (Building Information Modeling) technology, this thesis proposes a bridge health monitoring system under a new mode of "BIM+bridge health monitoring", and develops a system, realize the multi-user cooperative management and integrated monitoring and maintenance management of bridge safety operation.

References

  1. Newhook J P, Edalatmanesh R. Integrating reliability andstructural health monitoring in the fatigue assessment Ofconcrete Bridge decks [J]. Structure and Infrastructure Engineering, 2013, 9(7):619-633.Google ScholarGoogle ScholarCross RefCross Ref
  2. Ding Y L, Zhao H W,Deng L, etal. Early warning of abnormaltrain-induced vibrations for a steel-truss arch railway bridge: case study[J]. Journal of Bridge Engineering (ASCE), 2017, 22 (11).Google ScholarGoogle Scholar
  3. Gesquière G, Manin A. 3D visualization of urban databasedon CityGML with WebGL[J]. International Journal of 3DInformation Modeling, 2012, 1(3):1-15.Google ScholarGoogle Scholar
  4. Arangio S, Beck J L. Bayesian neural networks for bridgeintegrity assessment[J]. Structural Control & Health Monitoring.2012, 19 (1):3-21.Google ScholarGoogle Scholar
  5. Ding Youliang, AnYonghui, Wang Chao. Field monitoringof the train-induced hanger vibration in a high-speed railwaysteel arch bridge [J]. Smart Structures and Systems, 2016, 17(6):1107-1127.Google ScholarGoogle ScholarCross RefCross Ref

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
    October 2021
    3136 pages
    ISBN:9781450385046
    DOI:10.1145/3495018

    Copyright © 2021 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 14 March 2022

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate100of285submissions,35%
  • Article Metrics

    • Downloads (Last 12 months)22
    • Downloads (Last 6 weeks)1

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format