Research Articles | Challenge Journal of Structural Mechanics

Metaheuristic approaches for optimum design of cantilever reinforced concrete retaining walls

Gebrail Bekdaş, Rasim Temür


DOI: https://doi.org/10.20528/cjsmec.2016.11.031
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Abstract


An approach is presented for optimum design of cantilever reinforced concrete (RC) retaining wall via teaching-learning based optimization (TLBO) algorithm. The objective function of the optimization is to minimize total material cost including concrete and reinforcing steel bars of the cantilever retaining wall by considering overturning, sliding and bearing stabilities, bending moment and shear capacities and requirements for design and construction of reinforced concrete structures (TS 500/2000). TLBO algorithm is a simple algorithm without any special algorithm parameters. This innovative approach is providing an advantage to TLBO in terms of easily applying to the problem. The proposed method has been performed on numerical examples and the results are compared with previous approaches. Results show that, the methodology is feasible for obtaining the optimum design of RC cantilever retaining walls.


Keywords


optimization; teaching-learning based optimization; cantilever; reinforced concrete; retaining wall

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Peer-review under responsibility of the organizing committee of ACE2016.


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