基于数字孪生的老旧建筑结构安全性定量预测方法

Quantitative prediction method for safety of old building structures based on digital twins

为提高对老旧建筑的安全分析能力,提出一种基于数字孪生的老旧建筑结构安全性定量预测方法,通过老旧建筑结构风险要素辨识搭建智能监测系统,监测建筑关键结构初步判断安全状态,将监测数据作为外部参数输入模型中进行数值模拟,定量预测建筑的破坏部分和破坏程度;以西安某具有70多年历史的老旧建筑为例进行验证,根据工程实际设计监测方案,对其进行为期2年的结构安全监测;使用Revit软件建立该建筑的数值模型并导入到ABAQUS中,将监测数据作为外部参数输入数值模拟,并假定监测数值超过沉降阈值进行定量预测建筑破坏情况。结果表明:该老旧建筑目前处于安全状态,假定建筑沉降值超过安全阈值,则楼梯前侧结构发生破坏的可能性增加。验证了基于数字孪生技术将实时监测数据和数值模拟相融合的定量预测方法,对老旧建筑整体及局部结构安全性分析判断有较高的可行性。

In order to improve the safety analysis of old buildings,a method was introduced for quantitatively predicting their structural safety based on digital twins.Identifying risk factors in the buildings'structures,setting up an intelligent monitoring system,and using monitoring data in numerical simulations to assess the safety of critical structural elements were included.The method provided quantitative predictions for damaged areas and the extent of destruction in the buildings.This study validates the proposed method using an old building in Xi'an with a history of over 70 years.A two-year structural safety monitoring was conducted following an actual engineering design monitoring plan.The numerical model of the building was created using Revit software and imported into ABAQUS.Monitoring data was used as external parameters in numerical simulations,with the assumption that monitored values exceeding settlement thresholds indicate a quantitative prediction of building damage.The outcome demonstrates that the old building is currently in a safe condition.However,if the settlement of the building exceeds the safety threshold,the likelihood of structural damage occurring at the front side of the stairs will be increased.The study verifies the high feasibility of a quantitative prediction method that integrates real-time monitoring data with numerical simulations based on digital twin technology for analyzing and assessing the overall and local structural safety of aging buildings.