基于建筑信息模型的地铁车站深基坑工程孪生仿真云平台的研发与应用
姚湘静
Research and Application of Twin Simulation for Deep Foundation Pit Engineering of Subway Station Based on BIM Technology
YAO Xiangjing
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作者信息:上海申通地铁建设集团有限公司，200070，上海
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Affiliation:Shanghai Shentong Metro Construction Group Co., Ltd., 200070, Shanghai, China
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DOI:10.16037/j.1007-869x.2023.11.033
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中图分类号/CLCN:TP274TU94
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栏目/Col:应用技术
摘要:
目的：针对地铁车站深基坑工程施工过程的监测问题与难点，研究基于BIM (建筑信息模型)技术的深基坑工程孪生仿真云平台。方法：介绍了深基坑孪生仿真云平台系统的架构及主要功能，研究了平台系统与数值计算软件的接口。以上海某深基坑工程为例，阐述了该项目基于深基坑工程孪生仿真云平台的核心内容（深基坑孪生轻量化模型的建立、监测点模型族库的建立、监测预警方案等），并以地下连续墙结构为例，对孪生模型与数值模型的转化、算例应用进行了说明。结果及结论：该平台系统能形象、直观地自动生成多种类型的数据报表和分析曲线，能较好地满足深基坑监测数据快速处理及信息反馈的需要。该平台可实现基坑模型与监测点数字孪生、测点信息实时输入、存储、处理及预警管控、数字孪生模型与数值分析模型转化分析等功能，提出合理的施工方案，提高施工效率。
Abstracts:
Objective: Aiming at the monitoring problems and difficulties in the construction process of deep foundation pit works for subway station, the twin simulation cloud platform for deep foundation pit works based on BIM (building information modeling) technology is studied. Method: The architecture and main functions of the twin simulation cloud platform system for deep foundation pit are introduced, and the interface between the platform system and numerical calculation software is studied. Taking a deep foundation pit project in Shanghai as an example, the core content of the project based on the twin simulation cloud platform for deep foundation pit engineering is elaborated (including the establishment of a twin lightweight model for deep foundation pit, the establishment of a monitoring point model family library, and monitoring and warning schemes). Taking the underground continuous wall structure as an example, the transformation of the twin model and numerical model, as well as the application of examples are explained. Result &Conclusion: The platform system can visually and intuitively generate various types of data reports and analysis curves, which can better meet the needs of rapid processing and information feedback of deep foundation pit monitoring data. This platform can achieve functions such as digital twinning of deep foundation pit models and monitoring points, real\|time input, storage, processing, and warning control of measurement point information, transformation and analysis of digital twinning models and numerical analysis models, and propose reasonable construction plans to improve construction efficiency.
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