Today, digital design and building information modeling (BIM) technologies applied at all stages of the lifecycle of a facility, from design and construction to operation and subsequent dismantling, are widely used. Using digital twins allows for creating virtual copies of real objects, ensuring a detailed study of the behavior of a building structure in dynamics under the impact of various loads. Information models help promptly update design solutions and analyze the consequences of changes, suggesting an optimal solution at each stage of project development. Using such technologies is becoming a necessary condition of successful implementation of renovation projects, preserving the historical heritage of cities, and efficiently managing the infrastructure.
In the construction industry of Russia, however, the BIM technologies are still relatively rare, especially when dismantling old facilities and structural elements. Dismantling large-scale industrial enterprises, residential buildings, bridges, and other capital structures is a complex engineering process associated with many risk factors, high labor costs, and financial expenditures. The most crucial tasks are to precisely determine the scope of upcoming dismantling jobs, calculate the amount of equipment, evaluate the process, and mitigate accident risk and environmental damage.
The study aims to detect the key obstacles occurring when calculating the scope of dismantling jobs associated with the lack of reliable source data, the use of outdated materials and structural solutions, issues of visualization and forecasting results precision, using various approaches to the demolition of facilities.
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