Methods for managing the life cycle of capital construction objects considering the impact of environmental and other types of risks

Introduction. The methods of environmental impact optimization are presented, including: a graphical method for creating an area of acceptable impacts by solving linear programming problems; a model for the identification of hazardous impacts by the simplex method; a method of forming sustainable management systems of ecological safety of construction.

Materials and methods. The methodology of environmental and risk management is based mainly on international management standards (Environmental management & Risk management). Using simple numerical examples, the possibilities of mathematical modelling of environmental loads at the stages of the life cycle of construction facilities are illustrated. The paper considers linear equations of action with constraints and with two variable factors of influence. If we pass to linear dependencies with three variable factors of influence, then they will describe a plane in the three-dimensional space of influence. The system of linear constraints represents a polyhedron as the area of permissible impacts in the three-dimensional impact space.

Results. Studies conducted by the graphical method of constructing the area of permissible impacts when solving environmental problems of linear programming showed its effectiveness and clarity, compared to the results obtained by computational method. The most effective is the development of environmental safety management systems for construction related to waste sources, as well as the management of the composition and treatment of waste streams, in order to promote the prevention of waste generation, as well as the recovery and recycling of waste from the construction industry.

Conclusions. An important area of development of methods is to increase the efficiency of resource use and reduce the cost of construction and operation of facilities. For this purpose, new technologies and materials will be used, as well as well as the processes of construction and operation of facilities will be optimized.

1. Slesarev M.Y., Telichenko V.I. Prospects for the development of the regulatory framework of information systems for “green” standardization. International Journal for Computational Civil and Structural Engineering. 2020; 16(4):92-102. DOI: 10.22337/2587-9618-2020-16-4-92-102

2. Slesarev M.Yu. Formation of systems of ecological safety of construction. Moscow, MGSU, 2012; 350. (rus.).

3. Slesarev M., Pankratov E., Fedorov V. Mathematical model of innovative sustainability “green” construction object. MATEC Web of Conferences. 2016; 86:01022. DOI: 10.1051/matecconf/20168601022

4. Slesarev M.Yu. Stochastic forecasting of dynamics of ecological processes of the megalopolises. Integration, partnership and innovation in construction science and education : collection of materials from the International Scientific Conference. 2015; 270-272. EDN TSSLGR. (rus.).

5. Slesarev M. Environmental graphic method for creating area of permissible impact. IOP Conference Series: Materials Science and Engineering. 2018; 365:022055. DOI: 10.1088/1757-899X/365/2/022055

6. Suvorova M.O. Life cycle management of capital construction facilities to achieve carbon neutrality of construction production : dissertation of the candidate of technical sciences. Belgorod, 2023; 165. EDN AVWPSS. (rus.).

7. Mayorova T.V. Methodological tools for evaluating the effectiveness of environmental management in the context of the implementation of the concept of low carbon development : dissertation of the candidate of technical sciences. Ekaterinburg, 2017; 171. EDN DYUPGZ. (rus.).

8. Artamonov G.E. Ecological assessment of the carbon and nitrogen footprint of gas emissions from thermal energy facilities in the conditions of the Russian Federation : dissertation of the candidate of sciences. Moscow, 2023; 163. (rus.).

9. Tereshin A.G. Global and regional aspects of interconnections in the energy complex — environment system : dissertation of the doctor of technical sciences. Moscow, 2010; 306. (rus.).

10. Mishchenko A.V. Information modeling of the life cycle of a capital construction facility : dissertation of the candidate of sciences. Voronezh, 2023; 162. EDN HGAUQD. (rus.).

11. Elshami Mohamed Mostafa Mahmoud. Management of the life cycle of highways at the operational stage based on models of artificial neural networks : dissertation of the candidate of sciences. Rostov-on-Don, 2022; 150. (rus.).

12. Rybakova A.O. The use of information models of modular elements at the stage of architectural and construction design of capital construction facilities : dissertation of the candidate of sciences. Moscow, 2023; 201. EDN DHJXLQ. (rus.).

13. Shashkov A.A. Formation of the organizational structure of the project during large-block construction of nuclear power plants : dissertation of the candidate of sciences. Moscow, 2023; 197. (rus.).

14. Zaehle S., Friend A.D., Friedlingstein P., Dentener F., Peylin P., Schulz M. Carbon and nitrogen cycle dynamics in the O-CN land surface model: 2. Role of the nitrogen cycle in the historical terrestrial carbon balance. Global Biogeochemical Cycles. 2010; 24(1). DOI: 10.1029/2009gb003522

15. Gregory J.M., Jones C.D., Cadule P., Friedlingstein P. Quantifying carbon cycle feedbacks. Journal of Climate. 2009; 22(19):5232-5250. DOI: 10.1175/2009jcli2949.1

16. Feddema J., Oleson K., Bonan G., Mearns L., Washington W., Meehl G. et al. A comparison of a GCM response to historical anthropogenic land cover change and model sensitivity to uncertainty in present-day land cover representations. Climate Dynamics. 2009; 25(6):581-609. DOI: 10.1007/s00382-005-0038-z

17. Gerber S., Hedin L.O., Oppenheimer M., Pacala S.W., Shevliakova E. Nitrogen cycling and feedbacks in a global dynamic land model. Global Biogeochemical Cycles. 2010; 24(1). DOI: 10.1029/2008gb003336

18. Yang X., Wittig V., Jain A.K., Post W. Integration of nitrogen cycle dynamics into the integrated science assessment model for the study of terrestrial ecosystem responses to global change. Global Biogeochemical Cycles. 2009; 23(4). DOI: 10.1029/2009gb003474

19. Yokohata T., Webb M.J., Collins M., Williams K.D., Yoshimori M., Hargreaves J.C. et al. Structural similarities and-differences in climate responses to CO2 increase between two perturbed physics ensembles. Journal of Climate. 2010; 23(6):1392-1410. DOI: 10.1175/2009jcli2917.1

20. Yurova A.Yu., Volodin E.M., Agren G.I., Chertov O.G., Komarov A.S. Effects of variations in simulated changes in soil carbon contents and dynamics on future climate projections. Global Change Biology. 2010; 16(2):823-835. DOI: 10.1111/j.1365-2486.2009.01992.x

21. Bobrovnik A.B., Slesarev M.Yu., Shershneva M.V. Thermodynamic foundations for the use of gypsum and magnesia stone for the neutralization of heavy metal ions. Materials Science Forum. 2023; 1088:79-87. DOI: 10.4028/p-e5cx04

22. Telichenko V.I., Slesarev M.Yu. Artificial intelligence in the technology of creating innovations. Actual problems of computer modeling of structures and structures : abstracts of the VIII-th International Symposium. 2023; 104-106. EDN MWSNSP. (rus.).

23. Telichenko V.I., Lapidus A.A., Slesarev M.Yu. Analysis and synthesis of images of environmentally oriented innovative technologies of construction production. Vestnik MGSU [Monthly Journal on Construction and Architecture]. 2023; 18(8):1298-1305. DOI: 10.22227/1997-0935.2023.8.1298-1305. EDN RNDOCL. (rus.).

24. Telichenko V.I., Lapidus A.A., Slesarev M.Yu. Risks of integrating artificial intelligence technologies into “green” standards. Industrial and Civil Engineering. 2023; 8:102-108. DOI: 10.33622/0869-7019.2023.08.102-108. EDN ARDRBK. (rus.).