The usage of the harmony search algorithm for the optimal design problem of reinforced concrete retaining walls
- Authors
- Arama, Z.A.; Kayabekir, A.E.; Bekdaş, G.; Kim, Sanghun; Geem, Z.W.
- Issue Date
- Feb-2021
- Publisher
- MDPI
- Keywords
- Harmony Search; Optimum design; Retaining walls
- Citation
- APPLIED SCIENCES-BASEL, v.11, no.3
- Journal Title
- APPLIED SCIENCES-BASEL
- Volume
- 11
- Number
- 3
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/80084
- DOI
- 10.3390/app11031343
- ISSN
- 2076-3417
- Abstract
- In this paper, the Harmony Search (HS) algorithm is utilized to perform single and multivariate parametric studies to acquire the optimization of both size and cost of reinforced concrete (RC) retaining walls embedded in pure frictional soils. The geotechnical properties of the backfill and foundation soil such as shear strength angle, unit weight, and the ultimate bearing pressure of the soil have been used to create different cases for evaluating the effects of site properties on the size and cost of the wall. The change of depth of excavation and surcharge loading condition is fictionalized for generating different environmental conditions for all envisaged soil profiles to predict possible rates of influences. The unit cost of the concrete has also been evaluated as a variant to show the economic constraints on the selection of structural materials. The results of the analyses represent the integrated influences of different significant parameters on the achievement of minimum cost-dimension optimization. Besides, a well-known commercial geotechnical engineering software is used to compare the appropriateness of the suggested designs in terms of both the attainment of geotechnical stability and the structural requirements. Consequently, this study can guide both researchers and designers to select the proper and optimal sections of RC-retaining wall systems with simultaneous analyses of parameters that are influenced by the design process. Furthermore, the optimization results indicate that a significant cost reduction may be achieved when compared with the traditional pre-design method. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
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