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Adaku, E, Osei-Poku, V, Ottou, J A and Yirenkyi-Fianko, A (2024) Contractor payment delays: a systematic review of current trends and future directions. Construction Innovation, 24(05), 1205–27.
Almasabha, G, Shehadeh, A, Alshboul, O and Al Hattamleh, O (2024) Structural performance of buried reinforced concrete pipelines under deep embankment soil. Construction Innovation, 24(05), 1280-96.
- Type: Journal Article
- Keywords: reinforced concrete; buried pipelines; deep soil embankment; finite element analysis; maximum pipeline deflection; optimum pipeline geometry; optimum steel reinforcement
- ISBN/ISSN: 14714175
- URL: https://doi.org/10.1108/CI-10-2021-0196
- Abstract:
Purpose: Buried pipelines under various soil embankment heights are cost-effective alternatives to transporting liquid products. This paper aims to assist pipeline architects and professionals in selecting the most cost-effective buried reinforced concrete pipelines under deep embankment soil with minor structural reinforcement while meeting shear stress requirements, safety and reliability constraints. Design/methodology/approach: It is unfeasible to experimentally assess pipeline efficiency with high soil fill depth. Thus, to fill this gap, this research uses a dependable finite element analysis (FEA) to conduct a parametric study and carry out such an issue. This research considered reinforced concrete pipes with diameters of 25, 50, 75, 100, 125 and 150 cm at depths of 5, 10, 15 and 20 m. Findings: According to this research, the proposed best pipeline diameter-to-thickness (D/T) proportions for soil embankment heights 5, 10, 15 and 20 m are 8.75, 4.8, 3.5 and 3.1, correspondingly. The cost-effective reinforced concrete (RC) pipeline thickness dramatically rises if the soil embankment reaches 20 m, indicating that the soil embankment depth highly influences it. Most of the analyzed reinforced concrete pipelines had a maximum deflection value of less than 1 cm, telling that the FEA accurately identified the pipeline width, needed flexural steel reinforcement, and concrete crack width while avoiding significant distortion. Originality/value: The cost-effective thickness for the analyzed structured concrete pipes was calculated by considering the lowest required value of steel reinforcement. An algorithm was developed based on the parametric scientific findings to predict the ideal pipeline D/T ratio. A construction case study was also shown to assist architects and professionals in determining the best reinforced concrete pipeline geometry for a specific soil embankment height.
Hilu, K A and Hiyassat, M A (2024) Qualitative assessment of resilience in construction projects. Construction Innovation, 24(05), 1297-319.
Jayamaha, B H V H, Perera, B A K S, Gimhani, K D M and Rodrigo, M N N (2024) Adaptability of enterprise resource planning (ERP) systems for cost management of building construction projects in Sri Lanka. Construction Innovation, 24(05), 1255-79.
Kedir, F, Hall, D M, Brantvall, S, Lessing, J, Hollberg, A and Soman, R K (2024) Circular information flows in industrialized housing construction: the case of a multi-family housing product platform in Sweden. Construction Innovation, 24(05), 1354-79.
Kineber, A F, Othman, I, Oke, A E, Chileshe, N and Zayed, T (2024) Modeling the relationship between value management implementation phases, critical success factors and overall project success. Construction Innovation, 24(05), 1380-400.
Nguyen Ngoc, H, Mohammed Abdelkader, E, Al-Sakkaf, A, Alfalah, G and Zayed, T (2024) A hybrid AHP-maut model for assessing competitiveness of construction companies: A case study of construction companies in Vietnam and Canada. Construction Innovation, 24(05), 1320-53.
Sammour, F, Alkailani, H, Sweis, G J, Sweis, R J, Maaitah, W and Alashkar, A (2024) Forecasting demand in the residential construction industry using machine learning algorithms in Jordan. Construction Innovation, 24(05), 1228-54.
Shang, G, Pheng, L S and Zhong Xia, R L (2024) Adoption of smart contracts in the construction industry: an institutional analysis of drivers and barriers. Construction Innovation, 24(05), 1401-21.
Zabidin, N S, Belayutham, S and Che Ibrahim, C K I (2024) The knowledge, attitude and practices (kap) of industry 4.0 between construction practitioners and academicians in Malaysia: A comparative study. Construction Innovation, 24(05), 1185-204.