BIM Digital Shadow Technology and Risk Assessment Method of the Deep Foundation Pit’s Behavior for Zibo Light Rail

Abstract

With the shortage of land resources, there has been a trend toward increasingly deep foundation pit engineering in urban areas. It is extremely important to reflect on the behavior and safety of deep foundation pits and conduct risk assessments in time. A nonhomologous and multi-indicator deep foundation pit risk assessment model was studied for nine types of nonhomologous on-site data monitored in the deep foundation pit. Based on the BIM (Building Information Modeling) technology, a family of monitored points was created that reflects the information on site from a deep foundation pit. The data visualization module was redeveloped by using Visual Studio 2019 to map the on-site data monitored to the components in the BIM model, which can visualize the data monitored in the BIM model of deep foundation pits. On this basis, the assessment of the safety level of deep foundation pits was realized in combination with a risk assessment model. Through the instance of the deep foundation pit of Zibo light rail, the analysis shows that the new visualization and risk assessment method can help construction workers locate dangerous units and formulate corresponding prevention and control measures better and faster.

Intelligent Analysis of Construction Safety of Large Underground Space Based on Digital Twin

“…Construction safety risk data are the basis of driving the digital twin framework Therefore, the construction risk index system of large underground spaces is first con structed through a literature research and expert interviews. The construction risk of ur ban underground large space engineering is mainly divided into [15][16][17][18] retaining struc ture instability, support system instability, pit bottom deformation and failure, soil col lapse, surface subsidence, building (structure) damage, road and bridge damage, and un derground pipeline damage, etc., as shown in Figure 1.…”

Challenges and research agenda for realizing a seamless integration of Digital Shadows into the production domain

“…In particular, industry 4.0‐specific requirements, that is, integration of semantics, simplicity, modularity, and scalability for implementing Digital Shadows, are rarely addressed. Sample Digital Shadow integration can be found for pig rearing, 13 PPC in injection molding, 14 pasture management in the farming domain, 15 or for building information management 16 . Furthermore, comprehensive standards for building Digital Shadow are absent.…”

“…Sample Digital Shadow integration can be found for pig rearing, 13 PPC in injection molding, 14 pasture management in the farming domain, 15 or for building information management. 16 Furthermore, comprehensive standards for building Digital Shadow are absent. Since a comprehensive integration of Digital Shadows into the production domain is not yet realized, a research agenda that will consider industry 4.0 requirements, especially the use of semantics and standards, will be provided in Section 5.…”

Disaster Risk Assessment for Railways: Challenges and a Sustainable Promising Solution Based on BIM+GIS

“…However, the majority of risk assessment methods rely on a qualitative assessment approach, which usually requires experienced experts to judge items, such as the analytic hierarchy process (AHP) method [9] and index weight method [10]. Even some studies that claim to use quantitative risk assessment (QRA) methods [11][12][13] fail to quantify specific economic losses or casualties, particularly for railway engineering with complex facilities and exposure to multi-hazard risks. Previous risk assessment methodologies utilized in railway engineering are very well-established tools based on probabilistic risk analysis, such as fault tree analysis [14], the analytic hierarchy process, and Monte Carlo simulation [15,16].…”