Dergiler / Challenge Journal of Structural Mechanics / 2019 / Cilt: 5 - Sayı: 3

Parametric investigation for discrete optimal design of a cantilever retaining wall

Sayfa
108–120
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Economic wall design with op-timization analysis is achieved in a shorter time than the traditional method.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this paper, discrete design optimization of a cantilever retaining wall has been sub-mitted associated with a detailed parametric study of the wall.
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Temel Bulgular & Veri:Through design algorithm, the optimal design variables (base width, toe width, thickness of base slab and angle of front face) yielded minimum structural weight of the wall and satisfied stability conditions have been determined for different soil parameter values.
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Sonuç & Katkı:Economic wall design with op-timization analysis is achieved in a shorter time than the traditional method.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Özet

In this paper, discrete design optimization of a cantilever retaining wall has been sub-mitted associated with a detailed parametric study of the wall. In optimal design, the minimum wall weight is treated as the objective function. Through design algorithm, the optimal design variables (base width, toe width, thickness of base slab and angle of front face) yielded minimum structural weight of the wall and satisfied stability conditions have been determined for different soil parameter values. At the end, a detail parametric study searching the effect of change of soil parameters on the re-taining wall design has been conducted with 120 optimized wall designs for different values; eight values of the angle of internal friction, three values of the unit volume weight and five values of wall heights. The obtained results from optimization anal-yses indicate that change of the angle of internal friction more effective than change of the unit volume weight on the optimal wall weight. Economic wall design with op-timization analysis is achieved in a shorter time than the traditional method.

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Bu Makaleye Atıf Yap

URAY, E., ÇARBAŞ, S., ERKAN, İ. H., TAN, Ö. (2019). Parametric investigation for discrete optimal design of a cantilever retaining wall. Challenge Journal of Structural Mechanics, Cilt: 5 - Sayı: 3, 108–120. https://ajindex.com/articles/143292

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Kaynakça (13)

  1. ACI 318-08 (2008). ACI Committee 318, Building Code Requirements for Structural Concrete. American Concrete Institute, USA. AASHTO (2010). American Association of State Highway and Transportation Officials LRFD Bridge Design Specifications, USA. Akın A, Saka M (2010). Optimum design of concrete cantilever retaining walls using the harmony search algorithm. Proceeding of 9th International Congress on Advances in Civil Engineering Civil-Comp Press, 27-30.
  2. Ayvaz MT, Elçi A (2013). A groundwater management tool for solving the pumping cost minimization problem for the Tahtali watershed (Izmir-Turkey) using hybrid HS-Solver optimization algorithm. Journal of Hydrology, 478, 63-76.
  3. Bekdaş G, Nigdeli SM (2016). Optimum design of reinforced concrete columns employing teaching learning based optimization. Challenge Journal of Structural Mechanics, 2(4), 216-219.
  4. Camp C, Akin A (2012). Design of retaining walls using big bang–big crunch optimization. Journal of Structural Engineering, 138(3), 438-448.
  5. Ceranic B, Fryer C, Baines RW (2001). An application of simulated annealing to the optimal design of reinforced concrete retaining structures. Computers and Structures, 79(17), 1569-1581.
  6. Chau KW, Albermani F (2003). Knowledge-based system on optimal design of liquid retaining structures with genetic algorithms. Journal of Structural Engineering, 129(10), 1312-132.
  7. Cheng YM (2009). Modified Harmony Methods for Slope Stability Problems. In: Geem Z.W. (eds), Music-Inspired Harmony Search Algorithm Studies in Computational Intelligence, Springer, Berlin, 141-162.
  8. Cheng YM, Li L, Fang SS (2011). Improved harmony search methods to replace variational principle in geotechnical problems. Journal of Mechanics, 27(1), 107-119.
  9. Fattahi H (2015), Prediction of slope stability state for circular failure: a hybrid support vector machine with harmony search algorithm. International Journal of Optimization in Civil Engineering, 5(1), 103-115.
  10. Gandomi AH, Kashani AR, Roke DA, Mousavi M (2015). Optimization of retaining wall design using recent swarm intelligence techniques. Engineering Structures, 103, 72-84.
  11. Geem ZW, Kim JH, Loganathan GV (2001), A new heuristic optimization algorithm: harmony search. Simulation, 76(2), 60-68.
  12. Geem ZW, Lee KS, Park Y (2005), Application of harmony search to vehicle routing. American Journal of Applied Sciences, 2(12), 1552-1557.
  13. Keskar AV, Adidam SR (1989), Minimum cost design of a cantilever retaining wall. Indian Concrete Journal, 63 (8), 401-405.