Scholarlink

<p>In the context of increasingly complex deep foundation pit projects with strict requirements on time and cost, this study proposes a method to integrate BIM technology and the Mountain Gazelle Optimizer (MGO) algorithm for multi-objective optimization. BIM provides a 4D data platform (time, cost, resources) for MGO to analyze, while MGO seeks a dynamic optimization solution, balancing direct/indirect costs, rewards/penalties and time value of money. Applied to a 170,000&#xa0;m² transportation hub project, the method reduces 3.15% of the total cost (6,298&#xa0;billion VND) and shortens 6.78% of the construction time (110 days) compared to the traditional method. The results also show the ability to adapt to market fluctuations thanks to real-time monitoring via the BIM4D platform. The research opens up new approaches to project management, combining digital technology and advanced algorithms to improve efficiency and sustainability.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Applying BIM technology and MGO algorithm to optimize construction time and cost for construction foundations categories

  • 期刊论文

  • 发表日期：

    2025年11月26日

查看全文
  • Ngoc Cuong Luu

摘要

In the context of increasingly complex deep foundation pit projects with strict requirements on time and cost, this study proposes a method to integrate BIM technology and the Mountain Gazelle Optimizer (MGO) algorithm for multi-objective optimization. BIM provides a 4D data platform (time, cost, resources) for MGO to analyze, while MGO seeks a dynamic optimization solution, balancing direct/indirect costs, rewards/penalties and time value of money. Applied to a 170,000 m² transportation hub project, the method reduces 3.15% of the total cost (6,298 billion VND) and shortens 6.78% of the construction time (110 days) compared to the traditional method. The results also show the ability to adapt to market fluctuations thanks to real-time monitoring via the BIM4D platform. The research opens up new approaches to project management, combining digital technology and advanced algorithms to improve efficiency and sustainability.