Design optimisation of reinforced concrete pile foundation using generalised reduced gradient algorithm

Purpose>The purpose of this study is to find the optimum design of Reinforced Concrete (RC) pile foundation to enable efficient use of structural concrete with greater consequences for global environment and economy.Design/methodology/approach>A non-linear optimisation technique based on the G...

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Bibliographic Details
Published in:Frontiers in Engineering and Built Environment Vol. 2; no. 3; pp. 133 - 153
Main Authors: Dauda, Jamiu Adetayo, Rahmon, Suraj A., Tijani, Ibrahim A., Mohammad, Fouad, Okegbenro, Wakeel O.
Format: Journal Article
Language:English
Published: Bingley Emerald Group Publishing Limited 02.08.2022
Emerald Publishing
Subjects:
Algorithms
BS 8004
Carbon dioxide
Carbon dioxide emissions
Case studies
Climate change
Concrete
Concrete piles
Concrete structures
Construction costs
Consumption
Design
Design optimization
Designers
Emissions
Eurocode 7
Friction
Frictional soil
Generalized reduced gradient
Greenhouse gases
Laboratories
Limit states
Load
Minimum cost
Optimization
Pile foundation
Pile foundations
Process parameters
Reinforced concrete
Soils
ISSN:2634-2499, 2634-2502
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Summary:Purpose>The purpose of this study is to find the optimum design of Reinforced Concrete (RC) pile foundation to enable efficient use of structural concrete with greater consequences for global environment and economy.Design/methodology/approach>A non-linear optimisation technique based on the Generalised Reduced Gradient (GRG) algorithm was implemented to find the minimum cost of RC pile foundation in frictional soil. This was achieved by obtaining the optimum pile satisfying the serviceability and ultimate limit state requirements of BS 8004 and EC 7. The formulated structural optimisation procedure was applied to a case study project to assess the efficiency of the proposed design formulation.Findings>The results prove that the GRG method in Excel solver is an active, fast, accurate and efficient computer programme to obtain optimum pile design. The application of the optimisation for the case study project shows up to 26% cost reduction compared to the conventional design.Research limitations/implications>The design and formulation of design constraints will be limited to provisions of BS 8004 and EC 7.Practical implications>Since the minimum quantity of concrete was attained through optimisation, then minimum cement will be used and thus result in minimum CO2 emission. Therefore, the optimum design of concrete structures is a vital solution to limit the damage to the Earth's climate and the physical environment resulting from high carbon emissions.Originality/value>The current study considers the incorporation of different soil ground parameters in the optimisation process rather than assuming any pile capacity value for the optimisation process.
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ISSN:2634-2499
2634-2502
DOI:10.1108/FEBE-12-2021-0059