Outline

Ingegneria Sismica

Ingegneria Sismica

Application Research on Exploring the Realization Path of Intelligent Technology for Complex Node Connection Construction of Aluminum Tapered Core Composite Plate Curtain Walls

Author(s): Yongbing Qin1, Rongde Luo1, Daqiao Yang1, Zhicheng Guo1, Fankai Liao1
1Third Construction Co., Ltd of China Construction Fifth Engineering Bureau, Chengdu, Sichuan, 610000, China
Qin, Yongbing. et al “Application Research on Exploring the Realization Path of Intelligent Technology for Complex Node Connection Construction of Aluminum Tapered Core Composite Plate Curtain Walls.” Ingegneria Sismica Volume 43 Issue 1: 1-19, doi:10.65102/is2026061.

Abstract

With the rapid development of high-rise buildings in urban areas, curtain wall construction requires more efficient intelligent methods. Therefore, this paper proposes an intelligent scheduling method for curtain wall construction progress plans based on an improved genetic algorithm. Building on the exploration of intelligent technologies for curtain wall construction, an optimization model for curtain wall construction progress plans considering assembly principles was established. The improved genetic algorithm was applied to solve this model, yielding a construction progress plan with the shortest duration. The method was validated and applied in an actual 10-story office building project. The results show that this intelligent scheduling method can significantly reduce the construction schedule while considering various constraints. The total construction schedule for the aluminum cone-core composite panel curtain wall node connection project was 90 days, which was completed 5 days ahead of the contract-specified schedule. This method can provide a reference for the scheduling of similar curtain wall construction projects.

Keywords
aluminum cone-core composite panel curtain wall; complex node connection; intelligent technology; improved genetic algorithm

Related Articles

Huiqiao Liu1
1Yinchuan University of Energy, Ningxia, 750000, China
Xin Zhao1, Yan Li1, Xiangyang Cao1, Qiushuang Li1, Jianing Zhang1
1State Grid Shandong Electric Power Company Economic and Technological Research Institute ShanDong JiNan 250001, China
Dan Yang1
1School of Marxism, Suzhou Polytechnic University, Suzhou, 215104, China
Liuhang Shen1, Xiangwen Sun1
1Ulster college at Shaanxi University of Science &Technology, Xi’an,710021, Shaanxi, China