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

DMYTRO CHASHYN


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https://researchid.co/dmytrochashyn

RESEARCH, TEACHING, or OTHER INTERESTS

Civil and Structural Engineering, Management of Technology and Innovation, Information Systems and Management
4

Scopus Publications

Scopus Publications

  • RESOLVING OF SUSTAINABILITY PROBLEMS OF BIM-MODELS INTENDED FOR USE IN AUTOMATED TECHNOLOGY OF CONSTRUCTION MANAGEMENT “BUILDING MANAGER”
    Dmytro Chashyn, Kjartan Gudmundson, Dmytro Yaremenko, Viktor Klepa, Yelyzaveta Khurudzhi
    Proceedings on Engineering Sciences, 2025
    On the way of the creation of automated technology of construction management "Building Manager" important progress has been made in the development of integration solutions and the creation of reliable protocols for information exchange within this technology, which can be used in the improvement of existing BIM standards.These innovations will allow, in addition, to close integration with the project BIM -technology, providing full automation of the preparation of input data for the resource (estimates, financing and delivery schedules) and dynamic (scheduling, balanced in all conditions of construction), with minimum labour costs to collect and process the necessary information about the construction site providing feedback "production -planning", increasing the efficiency and accuracy of project management to obtain optimal results.The endeavors of refining resource-technological modeling found its inaugural ground in the development of a complex Building Information Modelling (BIM)model for the nuclear power plant project, "Khanhikiwi-1", situated in Finland.This pioneering initiative specifically tailored the intricate BIM models to construct a comprehensive representation of the nuclear power plant.The resultant model delivers precise and dependable data essential for modeling construction production across diverse sections, ensuring a solid foundation for informed decision-making and operational efficiency.
  • Integration of Building Information Modeling and Artificial Intelligence of Things in the Post-War Reconstruction and Renovation of Buildings
    DMYTRO CHASHYN, YELYZAVETA KHURUDZHI, MINDAUGAS DAUKŠYS
    Journal of Sustainable Architecture and Civil Engineering, 2024
    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, Mindaugas Daukšys
    Budownictwo I Architektura, 2024
    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, Oleg Yurin
    Lecture Notes in Civil Engineering, 2023