Optimum Cost Prediction of Reinforced Concrete Cantilever Retaining Walls

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Date
2023-09-22
Authors
Akış, Ebru
Journal Title
Journal ISSN
Volume Title
Publisher
Buildings
Abstract
Reinforced concrete cantilever retaining walls (RCCRWs) are widely used in civil engineering projects as a common type of retaining structure. The design of these structures focuses on ensuring safety against various failure scenarios and compliance with standard building code requirements. This research aims to enhance the design process of RCCRWs by developing a specific code and optimizing it through a metaheuristic-based algorithm. In this study, the cost prediction of RCCRWs is also investigated through a parametric study involving key variables such as wall height, seismic zone, backfill material properties, and backfill inclination angle. To achieve this, non-linear regression analysis is employed to establish an empirical correlation, enabling cost estimation for optimized RCCRWs. The resulting prediction equation is simple to use, requiring only limited inputs. Therefore, it can be applied during the initial stages of a project, making a valuable contribution in determining approximate costs for RCCRW projects.
Description
Open Access, Published by Buildings, https://doi.org/10.3390/buildings13102409, Ebru Akis, Civil Engineering Department, Atılım University, 06830 Ankara, Turkey.
Keywords
Cost prediction, optimization, optimum design, regression analyses, reinforced concrete cantilever walls
Citation
http://hdl.handle.net/20.500.14411/1856