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Mathematical model prototype to optimise engineering management of the construction site

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Modern construction technologies strongly affect the environment. Therefore, design and building construction should also follow the sustainable development principle. In this case, design and construction work based on the sustainable development principle should aim at creating a safe and healthy living environment, the economical use of natural resources, and the stimulation of economic development to create the welfare for humans and favourable natural conditions. The article proposes a mathematical algorithm as a comprehensive solution for engineering management of the planning construction site, from the calculation of the earthworks to the automated creation of the engineering geological cross-sections. The paper integrates engineering management, mathematical modelling, and BIM technology. The application of the building information model is undoubtedly one of the most advanced technologies used in the engineering management field, whose advantages have been shown by researchers. In the preliminary stage of construction and production management, decisions should be made regarding material and human resources, schedules, and estimates. The main purpose of this article is the optimisation of the excavation. Other issues important to the organisation and management of the construction are the planning of safe work on the construction site, depending on the soil type. Geotechnical sections allow ascertaining the need for additional fortifications and the depth of the fortifications for safe work. The paper describes the principal mathematical model developed by the authors to design a construction site using BIM technologies. It presents the main formulas of a mathematical algorithm aimed at selecting the objects used on the building site and the need for them. It also gives the main principles of engineering management and methods for selecting the mechanisms used on the construction site. Understandably, a specialist’s visit to the construction site will not be avoided, and it is difficult to present the entire current situation only with a review report or photographs. Using a photogrammetric model, the expert has the opportunity not only to visually evaluate the current condition but also to perform measurements (length, width, and volume) directly in the photogrammetric model. Important and new information about the construction site indicates all relevant obstacles, i.e., plants, surrounding constructions, and other objects.
Rocznik
Strony
46--55
Opis fizyczny
Bibliogr. 29 poz., rys., wykr.
Twórcy
  • Vilnius Gediminas Technical University, Lithuania
  • Faculty of Engineering Management, Bialystok University of Technology, Poland
Bibliografia
  • Bai, X., Zhu, X., Zhao, W., & Wang, Q. (2021). Study on 3D Visualization of Linear Engineering Survey Based on BIM. Second International Conference on Urban Engineering and Management Science, 262-265. doi: 10.1109/ICUEMS52408.2021.00064
  • Berner, F., Hermes, M., & Spieth, D. (2016). Interaction between lean construction and the BIM working method using the example of application of visualization and modelling of the construction process. Bauingenieur, 91, 466-472. doi: 10.37544/0005-6650-2016-11-64
  • Briskorn, D., & Dienstknecht, M. (2019). Mixed-integer programming models for tower crane selection and positioning with respect to mutual interference. European Journal of Operational Research, 273(1), 160- 174. doi: 10.1016/j.ejor.2018.07.033
  • Cudrigh, S. (2018). 3D geological modelling – Through the example of Karawanken Tunnel project, northern section. Geomechanics and Tunnelling, 11, 530-536. doi: 10.1002/geot.201800025
  • Fadoul, A., Tizani, W., & Koch, C. (2018). A BIM-based model for the assessment of the constructability of conceptual design. Advances in Computational Design, 3(4), 367-384. doi: 10.12989/acd.2018.3.4.367
  • Gbadamosi, A. Q., Mahamadu, A. M., Oyedele, L. O., Akinade, O. O., Manu, P., Mahdjoubi, L., & Aigbavboa, C. (2019). Offsite Construction: Developing a BIM-based optimizer for assembly. Journal of Cleaner Production, 215, 1180-1190. doi: 10.1016/j.jclepro.2019.01.113
  • Huang, S., Guo, Y., Yu, C., Wang, X., & Wang, Q. (2020). Research on Modeling Method of 3D Geological Entity Model Based on BIM. E3S Web Conf., 198, 02031. doi: 10.1051/e3sconf/202019802031
  • Ilce, A. C., & Ozkaya, K. (2018). An integrated intelligent system for construction industry: a case study of raised floor material. Technological and Economic Development of the Economy, 24(5), 1866-1884. doi: 10.3846/20294913.2017.1334242
  • Ji, Y. S., & Leite, F. (2018). Automated tower crane planning: leveraging 4-dimensional BIM and rule-based checking. Automation in Construction, 93, 78-90. doi: 10.1061/9780784481264.006
  • Ji, Y. S., Sankaran, B., Choi, J. Y., & Leite, F. (2017). Integrating BIM and Optimization Techniques for Enhanced Tower Crane Planning. Computing in Civil Engineering 2017: Information Modeling and Data Analytics. Conference: ASCE International Workshop on Computing in Civil Engineering (IWCCE), 67-74. doi: 10.1061/9780784480823.009
  • Jian, S. (2021). BIM Geological Structure Computer Modelling and Software Simulation in Building Foundation Model Testing. Journal of Physics: Conference Series, 2033. doi: 10.1088/1742-6596/2033/1/012036
  • Jin, R. Y., Zhong, B. T., Ma, L., Hashemi, A., & Ding, L. Y. (2019). Integrating BIM with building performance analysis in the project lifecycle. Automation in Construction, 106, 102861. doi: 10.1016/j.autcon.2019.102861
  • Jing, G., Weibo, Z., Shuwu, L., Changhu, L., & Xiaobing, W. (2021). Application research of 3D digital evaluation and analysis method in geological engineering. doi: 10.21203/rs.3.rs-614702/v1
  • Li, M., Yu, H., & Liu, P. (2018). An automated safety risk recognition mechanism for underground construction at the pre-construction stage based on BIM. Automation in Construction, 91, 284-292. doi: 10.1016/j.autcon.2018.03.013
  • Li, S. H., Zhu, X., Ran, H., & Wang, Q. (2021). Study on extraction method of geological profile data based on BIM. 2nd International Conference on Urban Engineering and Management Science, 198-201. doi: 10.1109/ICUEMS52408.2021.00049
  • Lingmei, Z. (2021). Application of BIM Technology in Road Engineering Design. IOP Conference Series: Earth and Environmental Science, The Second International Conference on Civil, Architecture, and Pollution Control, 760. doi: 10.1088/1755-1315/760/1/012009
  • Mahmoudi, E., Stepien, M., & König, M. (2021). Optimisation of geotechnical surveys using a BIMbased geostatistical analysis. Smart and Sustainable Built Environment, 10(3), 420-437. 10.1108/SASBE-03-2021-0045
  • Ocampo, L., Genimelo, G. J., Lariosa, J., Guinitaran, R., Borromeo, P. J., Aparente, M. E., Capin, T., & Bongo, M. (2020). Warehouse location selection with TOPSIS group decision-making under different expert priority allocations. Engineering Management in Production and Services, 12(4), 22-39. doi: 10.2478/emj-2020-0025
  • Siderska, J. (2020). Robotic Process Automation — a driver of digital transformation? Engineering Management in Production and Services, 12(2), 21-31. doi: 10.2478/emj-2020-0009
  • Szum, K. (2021). IoT-based smart cities: a bibliometric analysis and literature review. Engineering Management in Production and Services, 13(2), 115-136. doi: 10.2478/emj-2021-0017
  • Trishch, R., Cherniak, O., Kupriyanov, O., Luniachek, V., & Tsykhanovska, I. (2021). Methodology for multicriteria assessment of working conditions as an object of qualimetry. Engineering Management in Production and Services, 13(2), 107-114. doi: 10.2478/emj-2021-0016
  • Vaníček, I., Pruška, J., & Jirásko, D. (2021). BIM – an application in geotechnical engineering. 47th Conference Foundation Engineering, 29. doi: 10.14311/APP.2020.29.0025
  • Venter, B., Ngobeni, S. P., & du Plessis, H. (2021). Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective. Engineering Management in Production and Services, 13(3), 142-150. doi: 10.2478/emj-2021-0027
  • Wei, C., Wang, J., & Cheng, F. (2019). Comparative Study on Calculation Methods for Stability Evaluation Based on BIM Models of Soil Landslides. IOP Conference Series: Earth and Environmental Science, 304(4). doi: 10.1088/1755-1315/304/4/042076
  • Wei, G., & Jian Xiong, M. (2021). BIM Process and Application in Geological Exploration of Rail Transit Engineering in Mountainous Cities. IOP Conference Series: Earth and Environmental Science, 669, 012009. doi: 10.1088/1755-1315/669/1/012009
  • Winkowska, J., Szpilko, D., & Pejić, S. (2019). Smart city concept in the light of the literature review. Engineering Management in Production and Services, 11(2), 70-86. doi: 10.2478/emj-2019-0012
  • Xu, C., & Wang, W. (2020). Research on design and optimization of geotechnical engineering based on BIM technology. Journal of Physics: Conference Series, 2020 International Conference on Electronic, Electrical and Computer Applications, 1578. doi: 10.1088/1742-6596/1578/1/012017
  • Zhang, J., Wu, C., Wang, Y., Ma, Y., Wu, Y., & Mao, X. (2018). The BIM-enabled geotechnical information management of a construction project. Computing, 100, 47-63. doi: 10.1007/s00607-017-0571-8
  • Zhang, Y., Zhong, D., Wu, B., Guan, T., Yue, P., & Wu, H. (2018). 3D Parametric Modeling of Complex Geological Structures for Geotechnical Engineering of Dam Foundation Based on T-Splines. Computer-Aided Civil and Infrastructure Engineering, 33, 545-570. doi: 10.1111/mice.12343
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-14500bd3-e645-4f26-92df-336f41affe53
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