Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Integration of Building Information Modeling and Artificial Intelligence of Things in Post-War Renovation and Retrofitting of Historical Buildings

Version 1 : Received: 6 August 2023 / Approved: 7 August 2023 / Online: 8 August 2023 (03:52:54 CEST)

How to cite: Chashyn, D.; Khurudzhi, Y.; Daukšys, M. Integration of Building Information Modeling and Artificial Intelligence of Things in Post-War Renovation and Retrofitting of Historical Buildings. Preprints 2023, 2023080564. https://doi.org/10.20944/preprints202308.0564.v1 Chashyn, D.; Khurudzhi, Y.; Daukšys, M. Integration of Building Information Modeling and Artificial Intelligence of Things in Post-War Renovation and Retrofitting of Historical Buildings. Preprints 2023, 2023080564. https://doi.org/10.20944/preprints202308.0564.v1

Abstract

The construction industry of Ukraine shall not only recover but also to upgrade, enhance and reevaluate projects of existing buildings. Further research raises simultaneously two pertinent issues for Ukraine - retrofitting as well as reconstruction of destroyed infrastructure. The priority objective of the research is to restore damaged and ruined buildings rapidly. It may be achieved by means of a creation of recovery methods in Ukraine and countries in the post-conflict stage of development. The approach implies using Building Information Modeling (BIM) and Artificial Intelligence of things (AIoT) to make reconstruction faster, better and less costly. In addition, we acquire a reduction of energy consumption and increase in the lifespan of the building by choosing retrofitting methods. The effectiveness of BIM and AIoT technologies allows imple-menting modern requirements to reduce the time and cost of design, optimize design solutions based on experience in designing new buildings and structures, providing the necessary infor-mation support of the investment project throughout its life cycle.

Keywords

ВIM-technologies; AIoT; information modeling; retrofitting; historical buildings; sustainability

Subject

Engineering, Civil Engineering

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