DMYTRO CHASHYN

@kth.se

Division of Sustainable Buildings, Department of Civil and Architectural Engineering, School of Architecture and the Built Environment
KTH Royal Institute of Technology



              

https://researchid.co/dmytrochashyn

RESEARCH, TEACHING, or OTHER INTERESTS

Civil and Structural Engineering, Management of Technology and Innovation, Information Systems and Management

3

Scopus Publications

Scopus Publications

  • Integration of Building Information Modeling and Artificial Intelligence of Things in the Post-War Reconstruction and Renovation of Buildings
    DMYTRO CHASHYN, YELYZAVETA KHURUDZHI, and MINDAUGAS DAUKŠYS
    Kaunas University of Technology (KTU)
    The construction industry of Ukraine shall not only recover but also upgrade, enhance and reevaluate existing building projects. Further research raises two pertinent issues for Ukraine - retrofitting and reconstructing destroyed infrastructure. The study's priority objective is to restore damaged and ruined buildings rapidly. It may be achieved using the creation of recovery methods in Ukraine and countries in the post-conflict stage of development. The research involves creating technical specifications for the product of a new version of the automated construction management system, which provides working with the software complexes based on the BIM model. The system implies using Building Information Modeling (BIM) and Artificial Intelligence of Things (AIoT) to make organization of reconstruction faster, better and less costly. The research has been held to demonstrate the viability of the approach. In addition, we acquire a reduction of energy consumption and an increase in the lifespan of the building by choosing retrofitting methods. The efficacy of BIM and IoT technologies enables the integration of contemporary demands to diminish design time and costs. These technologies also optimise design solutions by assimilating knowledge from previous building and structure designs. Additionally, they offer essential information support for the entire investment project life cycle.

  • Directions for the formation of «City Intelligent models» using artificial intelligence for the post-war reconstruction of historical buildings
    Dmytro Chashyn, Yelyzaveta Khurudzhi, and Mindaugas Daukšys
    Politechnika Lubelska
    Addressing the limitations of current digital simulations for historical buildings, this paper suggests a specific technical task for the development of a simulation analysis platform based on City Intelligent Modelling (CIM). The objective is to establish a systematic approach for digitally maintaining and managing historical dwellings. The technique presented in this paper focuses on constructing sophisticated parametric models that offer numerous modelling benefits, allowing for convenient updates to the Historic Building Information Modelling (HBIM). The text discusses various applications and integrations of Building Information Modelling (BIM) in urban planning, construction projects, and historic building renovations. CIM is presented as a comprehensive digital platform that visually represents cities, aiding urban planners in decision-making for sustainable development. The text delves into the use of advanced analytical tools within CIM for diverse data analysis, predictive modelling, and simulation to forecast trends. The focus shifts to the evolution of BIM, progressing from 3D to 5D models, influencing construction project management and cost estimation. The integration of BIM in historic building projects is explored, emphasising the challenges and proposing innovative solutions using HBIM. The paper also introduces the concept of Infrastructural Building Information Modelling (InfraBIM) in construction management, incorporating Virtual and Augmented Reality for enhanced visualisation.

  • Innovative Program of Quality Assessment of Cities for the Compliance with «Smart City» Category
    Petro Sankov, Yuriy Zakharov, Nataliia Tkach, Dmytro Chashyn, and Oleg Yurin
    Springer International Publishing