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Quantitative prediction method for safety of old building structures based on digital twins
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Yue ZHAI, Shangxue LEI, Yihong WANG, Aochen WANG, Zihan XIE, Yu JIA
China Safety Science Journal | 2024, 34(9) : 69 - 77
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China Safety Science Journal | 2024, 34(9): 69-77
Safety engineering technology
Quantitative prediction method for safety of old building structures based on digital twins
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Yue ZHAI, Shangxue LEI, Yihong WANG, Aochen WANG, Zihan XIE, Yu JIA
Affiliations
  • School of Geology Engineering and Geomatics,Chang'an University,Xi'an Shaanxi 710054,China
Published: 2024-09-28 doi: j.cnki.issn1003-3033.2024.09.1975
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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.

digital twins  /  old building structures  /  quantitative prediction  /  safe condition  /  numerical simulation
Yue ZHAI, Shangxue LEI, Yihong WANG, Aochen WANG, Zihan XIE, Yu JIA. Quantitative prediction method for safety of old building structures based on digital twins[J]. China Safety Science Journal, 2024 , 34 (9) : 69 -77 . DOI: j.cnki.issn1003-3033.2024.09.1975
Year 2024 volume 34 Issue 9
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doi: j.cnki.issn1003-3033.2024.09.1975
  • Receive Date:2024-03-11
  • Online Date:2025-07-09
  • Published:2024-09-28
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  • Received:2024-03-11
  • Revised:2024-06-14
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    School of Geology Engineering and Geomatics,Chang'an University,Xi'an Shaanxi 710054,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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