Abstract
The collapse of engineering structures can cause significant casualties and have negative social effects. Collapse accident investigation can elucidate the potential causes and mechanisms of the collapse accident, thus remediating future structural collapse and enhancing the resilience. However, there are some obstacles to investigating complicated collapse accidents using conventional methods. For example, the out‐syncs between on‐site investigation and simulation analysis are intractable and can make discovering the cause of collapse accidents difficult. Hence, a digital twin‐based investigation method for collapse accidents was proposed. First, basic virtual digital building models are established using real‐world information. Then, after mapping the data from the real world into the virtual space, the corresponding highly realistic multistage models before and after the building collapse accident are constructed and synchronized. Using the digital twin method, investigators with multidisciplinary knowledge can efficiently integrate, update, and check the models. Finally, the potential collapse mechanism was revealed with the assistance of the corresponding models. To demonstrate the effectiveness of the proposed digital twin‐based investigation method, a real collapse accident investigation is utilized as an example. These results validated our method.
Highlights
The site investigation method can hardly reproduce the collapse scenario of a building. e motion of fragments determines the distribution of the debris, which is crucial for accident investigation [11]
Collapse accident sites are dilapidated and chaotic, making it difficult to determine the cause of collapse using traditional methods. erefore, to improve the accident investigation, a digital twin-based accident investigation framework is proposed to conduct the investigation. e digital twinbased framework consists of the physical objects, the virtual model (e.g., building information models (BIM) model, FE model, and physics engine model), and the interaction between the physical and virtual spaces
A real collapse accident and corresponding on-site investigation results were used to validate the proposed method. e results indicate that the digital twin-based method supports the decision-making process and the determination of real causes
Summary
Safety during the service life is one of the most critical building requirements. in the last few decades, building collapse accidents have repeatedly occurred worldwide, causing severe injury, death, adverse social impact, and economic loss [1–4]. ese catastrophic events have raised increasing concerns for engineers and researchers. As for simulation-based methods, the result of collapse analysis relies on quantifying uncertainties in building modeling [12]. The out-syncs between the onsite investigation and simulation-based analysis are intractable and can cause difficulties in determining the causation of collapse accidents. Previous studies have shown that, with the help of a digital twin, researchers can obtain a comprehensive understanding of the building and establish high-fidelity 3D models for simulation and mechanical calculation. A digital twin-based building collapse investigation method is proposed. Digital twin-based collapse analysis techniques have been proposed and used to simulate the entire life cycle of a building and reproduce the building collapse accident. E rationality of the digital twin-based virtual model analysis was validated by site investigation. E results show that digital twin techniques are powerful tools for analyzing the cause of building collapse The main causes of building collapse were analyzed and expounded. e results indicate that defects and damage in critical regions of buildings are important factors that can cause building collapse. e rationality of the digital twin-based virtual model analysis was validated by site investigation. e results show that digital twin techniques are powerful tools for analyzing the cause of building collapse
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