Plasma Generation Optimization for Optimal Design of Reinforced Concrete Cantilever Retaining Wall Structures

Kaveh, A.; Akbari, Hossein; Hosseini, Seyed Milad

doi:10.1007/s40996-020-00566-8

Cited by 9 publications

(14 citation statements)

References 27 publications

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“…Eqs. (15) and (16) show that if the number of algorithm iterations is increased, α decreases linearly from α max to zero, and β increases linearly from β min to β max . Decreasing α and increasing β provide a good counterbalance between exploration and exploitation capabilities during the course of the optimization process.…”

Section: Shuffled Shepherd Optimization Algorithm (Ssoa)mentioning

confidence: 99%

“…Algorithm of the Innovative Gunner (AIG) [9], Artificial Electric Field Algorithm (AEFA) [10], and Quantum Henry Gas Solubility (QHGS) [11] are examples of the recently developed metaheuristics. Metaheuristics as probabilistic solvers have been applied and developed for solving optimization problems in the field of civil engineering, such as structural optimization [12,13], damage detection [14,15], optimal design of retaining wall [16,17], etc. Motivated by the potential application of metaheuristics, this study attempts to apply some population-based metaheuristics for the optimal design of the curved roof and pitched roof portal frames.…”

Section: Introductionmentioning

confidence: 99%

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Discrete Optimum Design of Planar Steel Curved Roof and Pitched Roof Portal Frames Using Metaheuristic Algorithms

Kaveh

Dastjerdi

Zaerreza

et al. 2021

Period. Polytech. Civil Eng.

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Portal frames are single-story frame buildings including columns and rafters, and their rafters can be either curved or pitched. These are used widely in the construction of industrial buildings, warehouses, gyms, fire stations, agricultural buildings, hangars, etc. The construction cost of these frames considerably depends on their weight. In the present research, the discrete optimum design of two types of portal frames including planar steel Curved Roof Frame (CRF) and Pitched Roof Frame (PRF) with tapered I-section members are presented. The optimal design aims to minimize the weight of these frame structures while satisfying some design constraints based on the requirements of ANSI/AISC 360-16 and ASCE 7-10. Four population-based metaheuristic optimization algorithms are applied to the optimal design of these frames. These algorithms consist of Teaching-Learning-Based Optimization (TLBO), Enhanced Colliding Bodies Optimization (ECBO), Shuffled Shepherd Optimization Algorithm (SSOA), and Water Strider Algorithm (WSA). Two main objectives are followed in this paper. The first one deals with comparing the optimized weight of the CRF and PRF structures with the same dimensions for height and span in two different span lengths (16.0 m and 32.0 m), and the second one is related to comparing the performance of the considered metaheuristics in the optimum design of these portal frames. The obtained results reveal that CRF is more economical than PRF in the fair comparison. Moreover, comparing the results acquired by SSOA with those of other considered metaheuristics reveals that SSOA has better performance for the optimal design of these portal frames.

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Section: Shuffled Shepherd Optimization Algorithm (Ssoa)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Discrete Optimum Design of Planar Steel Curved Roof and Pitched Roof Portal Frames Using Metaheuristic Algorithms

Kaveh

Dastjerdi

Zaerreza

et al. 2021

Period. Polytech. Civil Eng.

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“…to derive what are known as hybrid swarm algorithms. Recently, Plasma Generation Optimization technique was used to optimize retaining structures based on ACI 318-19 [4]. Studies were carried out to access the performance of other optimization methods example differential evolution (DE), evolutionary strategy (ES) and biogeography based optimization algorithm (BBO), for nonlinear constrained optimum design of cantilever retaining wall [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Reinforced Concrete Cantilever Retaining Wall using Particle Swarm Optimization

Srivastava

Pandey

Kumar

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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The design of structures depends on designer’s experience and generally, the designer proceeds with trial and error until he arrives at a design which satisfies prescribed limit states. This is especially true for reinforced concrete structures in which the structural configuration is decided first and then reinforcement requirements are determined, resulting in higher cost. Retaining walls involve a large number of variables and therefore have been far from optimization. However, since retaining walls comprise of 20-30 percent of the cost of highways in hilly regions, their optimization is critical to economy of the project. Particle Swarm Optimization (PSO) does not require the objective function to be linear or differentiable and hence is ideally suited for optimization of retaining walls. This study uses PSO as a tool for the optimizing a Cantilever RC Retaining Wall. The objective function consists of two parts - cost function and penalty term. A program and GUI was developed to implement PSO. A reduction in cost was achieved from 8% -17% depending on the height of retaining wall, while the optimization in weight varied from 9%-34%.

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“…In the design of retaining walls, many studies have been conducted in which the design criteria specified in the Turkish Building Earthquake Code-2018 [11] were taken into account for the earthquake effect [12][13][14][15] and stability verifications for control the design criteria by considering the retaining wall-soil interaction in the earthquake effect are given in these studies. It is possible to meet studies in the literature that present optimum design of retaining walls by considering dynamic earthquake loads [16][17][18][19][20][21]. Harmony search optimization algorithm is an alternative manner obtaining optimum designs of retaining walls as it is seen from to an extensive literature review about reinforced concrete structural design optimization was given in the study conducted by Afzal et.al.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Loads and Different Soil Characteristics Examination on Optimum Design of Cantilever Retaining Walls Utilizing Harmony Search Algorithm

Uray

Çarbaş

2021

International Journal of Engineering and Applied Sciences

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Optimum the cantilever retaining wall design for different soils and dynamic earthquake effects is presented here. In the investigation of optimum wall design-based metaheuristic, the harmony search algorithm was considered for different design cases which include five soil and two earthquake characteristics. Earthquake characteristics of mild and severe were obtained regarding two locations which was selected from Turkey Earthquake Risk Map. For selected two locations and local soil classes, map spectral acceleration coefficients were utilized defined in Turkish Building Earthquake Code-2018. Sliding, overturning, and bearing capacity safety factors were taken as design constraints for checking stability criteria of the cantilever retaining wall which is given in Turkish Building Earthquake Code-2018. Since the cost-based wall weight of the optimization problem was taken as the objective function, obtained optimum wall dimensions which are discrete design variables were compared in terms of different design cases. It is seen that the wall dimensions increase in order to meet the design criteria in case of the earthquake load increases when the obtained optimum design by the optimization analyzes are examined. Another result obtained for the same earthquake zone is that the wall dimensions and therefore the cost mostly increase in weak quality soils.

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Plasma Generation Optimization for Optimal Design of Reinforced Concrete Cantilever Retaining Wall Structures

Cited by 9 publications

References 27 publications

Discrete Optimum Design of Planar Steel Curved Roof and Pitched Roof Portal Frames Using Metaheuristic Algorithms

Discrete Optimum Design of Planar Steel Curved Roof and Pitched Roof Portal Frames Using Metaheuristic Algorithms

Optimization of Reinforced Concrete Cantilever Retaining Wall using Particle Swarm Optimization

Dynamic Loads and Different Soil Characteristics Examination on Optimum Design of Cantilever Retaining Walls Utilizing Harmony Search Algorithm

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