Optimization of construction schedule of high-piled wharf based on BIM technology
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The project of high-piled wharf is usually large-scale,highly professional and various participants for construction,which leads to the independence and poor timeliness of construction information,and greatly affects the project schedule,resulting in waste of construction cost. In order to solve this problem,we propose an optimization algorithm of the construction schedule,and build a 4D construction management method combined with building information modeling(BIM)technology. We build the component library of the high-piled wharf’s Revit model,construct the corresponding 3D information visualization model of the high-piled wharf,establish the construction schedule optimization algorithm of high-pile wharf based on the quantum particle swarm optimization algorithmin line with the construction characteristics,organically integrate the optimization algorithm for construction schedule with the BIM construction model of the high-piled wharf,and use BIMFILM software to carry out the optimization of construction period information and the dynamic visual management throughout the entire construction process. The results show that this method not only realizes the visualization and information management of construction schedule optimization,but also the proposed dynamic optimization algorithm helps to accurately predict and simultaneously optimize the construction schedule,reduce the total construction cost,and improve the efficiency of wharf construction management,which has expanded the application way of BIM technology in the field of hydraulic engineering with practical significance.

    Reference
    Related
    Cited by
Get Citation

原 媛,谢开云,吴双飞.基于BIM技术的高桩码头施工进度优化*[J].水运工程,2022,(6):171-177

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:
  • Revised:
  • Adopted:
  • Online: June 08,2022
  • Published:
Article QR Code