Optimization of Counterfort Retaining Wall Structure with Shear Key using Metaheuristic Method
DOI:
https://doi.org/10.9744/ced.26.2.151-159Keywords:
retaining wall, counterfort, shear key, optimization, metaheuristic, PSO, SOSAbstract
This paper presents the optimization work to obtain the most econoÂmical of counterfort retaining wall structure with shear key attached at its base using metaheuristic method. The metaheuristic algorithm is a global optimization method that can be used to find the optimum solution of complex problems. In this research, optimization is carried out using the Particle Swarm Optimization (PSO) and Symbiotic Organisms Search (SOS) methods. This research utilizes a retaining wall sitting on stiff clay layer subjected to ten (10) m of granular soil of backfill. The scope of the study is limited to the material cost, that consists of the cost of concrete and reinforcement bars, of the counterfort retaining wall with shear key. The results show that the SOS algorithm resulted a lower cost and relatively faster in obtaining optimum retaining wall design compared to that of the PSO algorithm.
References
Khuzaifah, E., Studi tentang Dinding Penahan (Retaining Wall), Swara Patra: Majalah Ilmiah PPSDM Migas, 9(1), 2019, pp. 7–18, Accessed: Jul. 25, 2023. [Online]. Available: http://ejurnal.ppsdmmigas.esdm.go.id/sp/index.php/swarapatra/article/view/189
Kalemci, E.N., İkizler, S.B., Dede, T., and Angın, Z., Design of Reinforced Concrete Cantilever Retaining Wall using Grey Wolf Optimization Algorithm, Structures, 23, 2020, pp. 245–253, doi: 10.1016/j.istruc.2019.09.013.
Fardilla, H., Perencanaan Dinding Penahan Sebagai Alternatif Pencegah Bahaya Longsor pada Konstruksi Pangkal Jembatan, Journal Rekayasa Sipil dan Desain (JRSDD), 2018, [Online]. Available: http://digilib.unila.ac.id/30392/11/SKRIPSI%20TANPA%20BAB%20PEMBAHASAN.pdf
Öztürk, H.T., Dede, T., and Türker, E., Optimum Design of Reinforced Concrete Counterfort Retaining Walls using TLBO, Jaya Algorithm, Structures, 25, 2020, pp. 285–296, doi: 10.1016/j.istruc.2020.03.020.
Khajehzadeh, M., Taha, M.R., El-Shafie, A., and Eslami, M., Modified Particle Swarm Optimization for Optimum Design of Spread Footing and Retaining Wall, Journal of Zhejiang University: Science A, 12(6), 2011, pp. 415–427, doi: 10.1631/jzus.A1000252.
Cheng, M.Y., Prayogo, D., and Tran, D.H., Optimizing Multiple-resources Leveling in Multiple Projects using Discrete Symbiotic Organisms Search, Journal of Computing in Civil Engineering, 30(3), 2016, doi: 10.1061/(asce)cp.1943-5487.0000512.
Parsa, P. and Naderpour, H., Shear Strength Estimation of Reinforced Concrete Walls using Support Vector Regression Improved by Teaching-learning-based Optimization, Particle Swarm Optimization, and Harris Hawks Optimization Algorithms, Journal of Building Engineering, 44, 2021, p. 102593, doi: 10.1016/j.jobe.2021.102593.
Prayogo, D., Santoso, H., Budiman, F., and Jason, M., Layout, Topology, and Size Optimization of Steel Frame Design using Metaheuristic Algorithms: A Comparative Study, Civil Engineering Dimension, 24(1), 2022, pp. 31–37, doi: 10.9744/ced.24.1.31-37.
Nguyen-Van, S., Nguyen, K.T., Dang, K.D., Nguyen, N.T.T., Lee, S., and Lieu, Q.X., An Evolutionary Symbiotic Organisms Search for Multiconstraint Truss Optimization under Free Vibration and Transient Behavior, Advances in Engineering Software, 160, 2021, p. 103045, doi: 10.1016/j.advengsoft.2021.103045.
Husada, V.N. and Tanara, A.C., Optimasi Durasi Penjadwalan Proyek Perumahan X menggunakan Metode Line of Balance dan Metode Metaheuristik dengan Memperhatikan Resource Leveling, Undergraduate Thesis, Petra Christian University, 2022. Accessed: Sep. 17, 2023. [Online]. Available: https://dewey.petra.ac.id/digital/view/55660
Clayton, C.R.I., Woods, R.I., Bond, A.J., and Milititsky, J., Earth Pressure and Earth Retaining Structures, 3rd ed., CRC Press, 2013.
Badan Standardisasi Nasional, SNI, 8460:2017: Persyaratan Perancangan Geoteknik, 2017.
Badan Standardisasi Nasional, SNI, 2847:2019: Persyaratan Beton Struktural untuk Bangunan Gedung dan Penjelasan, 2019.
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Copyright (c) 2024 Gogot Setyo Budi, Joel Glenn Chandra, Bryan Ongkowardhana, Willy Husada
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