The article presents the results of analysis and perspectives for the application of Building Information Modeling (BIM) for the selection of effective organizational, technological, and technical solutions in the elimination of the emergency destruction of large-panel buildings as a result of military actions. It has been established that information–mathematical modeling and the usage of a database on typical destructions can improve the work efficiency and safety of the liquidation of emergency destructions of buildings. Moreover, it enables the scaling and identification of the optimal option of emergency stabilization, as well as organizational, technological, and technical actions that have to be urgently taken to prevent the loss of life or collapse of large-panel buildings after massive damage due to shelling and other military actions. Information–mathematical modeling is explored as the key enabler of assessment and decision-making, while typically there is limited access to the survey object and a lack of information about its condition. The case of a large-panel building in Ukraine damaged as a result of a gas explosion was used for the development of the information–mathematical model and for demonstrating the proposed approach. In post-war times, the use of the presented methodology will allow a rapid assessment of the technical condition of buildings and stabilization strategy selection, including the periodicity of monitoring needs and times of repairs.

With the widespread adoption of BIM in the construction industry, it has become an important data source for energy performance simulations. Building Digital Twin as the next step in the evolution of managing building-related digital information represents a more advanced source of information in terms of data types accumulated, but at the same time, it enhances interoperability problems accompanying the process. This study investigates general patterns of the current BIM to BEM transformation workflow, with a particular focus on the geometry transformation process and the underlying interoperability issues. Based on this analysis the study aims to provide a comprehensive review of the geometric data requirements for BEM in the context of DT and dynamic data usage, as well as the interoperability challenges associated with exchanging information via the IFC schema and its modification to facilitate seamless data exchange via API usage in DT.

Digital Twins rely on accurate geometric models to ensure reliable representation, yet maintaining and updating these models remains a persistent challenge. This paper addresses one aspect of this challenge by focusing on the verification of photogrammetry-based models. It introduces a verification framework that defines measurable data quality elements and establishes conditions to assess whether model quality is maintained, improved, or degraded. Validation through a university building case study demonstrates the framework’s ability to detect quality differences between visually similar models. Meeting only one of the three verification conditions, the new model shows quality degradation, primarily due to reduced positional accuracy and resolution, making it unsuitable to replace the previous version used in the Digital Twin. Additionally, the developed web tool prototype enables the automated calculation of the framework’s verification scores. This study contributes to the growing discussion on Digital Twin maintenance by providing practical insights for improving the reliability of geometric models.