The Analysis of Support Systems of Underground Stormwater Basin Using a Multi-Criteria Analysis and Modeling

• Autorzy: Mariame Bouchaqour , Ouadif Latifa , Bahi Lahcen

Identyfikatory

DOI

10.12912/27197050/174257

• Języki publikacji: EN

Abstrakty

EN

This paper illustrates the importance of integrating buried stormwater ponds into underground development plans using a multi-criteria analysis and modeling for the selection of support in urban underground constructions, applied to the case study of buried stormwater ponds. This study underlines the importance of careful planning and the use of the technique for order of preference by similarity to ideal solution (TOPSIS) in the selection of support for underground stormwater basins in urban environments. The TOPSIS method led to the selection of diaphragm walls as the optimum solution, illustrating its effectiveness in evaluating alternatives based on a variety of criteria. diaphragm wall modeling using robot structural analysis (RSA) software validated this choice and accurately predicted the structure’s behavior, underlining the importance of numerical tools in engineering decision-making. The analysis of wall displacements, carried out using these tools, confirmed their compliance with standards, validating the choice of cast walls and highlighting the need for continuous monitoring to guarantee the stability of the structures.

Słowa kluczowe

EN

cast wall; RSA modeling; underground basin; underground planning; TOPSIS

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2024
• Tom: Vol. 25, iss. 1
• Strony: 101--114
• Opis fizyczny: Bibliogr. 61 poz., rys., tab.

Twórcy

autor

Mariame Bouchaqour

• 3GIE Laboratory, Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco

• https://orcid.org/0000-0002-2186-1411

autor

Ouadif Latifa

• 3GIE Laboratory, Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco

autor

Bahi Lahcen

• 3GIE Laboratory, Mohammadia School of Engineers, Mohammed V University, Rabat, Morocco

• https://orcid.org/0000-0002-5082-3473

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).