基于GA-BP神经网络的深基坑变形预测与BIM技术的施工控制研究

Deformation Prediction of Deep Foundation Excavation Based on GA-BP and Construction Control on Account of BIM Technology

深基坑工程施工技术复杂、影响因素众多且复杂,施工变形实时监测及有效控制是确保安全施工的关键。结合工程实例,应用遗传算法对BP神经网络进行优化,通过基于时间序列和多因素基坑变形预测模型对深基坑施工变形进行预测分析,采取MATLAB建模实现基坑施工变形的预测仿真;同时,在基坑施工监测与控制中引入BIM技术,应用Revit软件创建基坑BIM模型,并通过企业项目管理系统与BIM模型关联互动,实现基坑施工的可视化动态管理及在线远程管控。研究结果表明,应用GA-BP变形预测方法与基于BIM技术的施工控制模型融合集成的一体化基坑施工变形智能化预测、可视化控制和信息化管理方法体系,对实现深基坑安全施工具有现实指导与参考价值。

The construction technology of deep foundation excavation engineering is complex, and the influencing factors are numerous and complicated. Real-time monitoring and effective control of construction deformation of deep foundation excavation engineering are the key to ensure safe construction.Combined with engineering examples, the genetic algorithm is used to optimize the BP neural network, and the deep foundation excavation construction deformation is predicted and analyzed through the time series and multi-factor foundation excavation deformation prediction model, and MATLAB modeling is used to realize the prediction and simulation of the construction deformation of the foundation excavation. At the same time, BIM technology is introduced in foundation excavation construction monitoring and control, Revit software is applied to create foundation excavation BIM model, and the enterprise project management system interacts with the BIM to realize the visual dynamic management of foundation excavation construction and online remote control. The research results show that the integrated intelligent prediction, visual control and information management method system for the construction of deep foundation excavations using the GA-BP deformation prediction method and the BIM-based construction control model is practical for the realization of the safe construction of deep foundation excavations, guidance and reference value.