Optimal design of arch dams subjected to earthquake loading by a combination of simultaneous perturbation stochastic approximation and particle swarm algorithms

Seyedpoor, S. M.; Salajegheh, J.; Salajegheh, E.; Gholizadeh, Saeed

doi:10.1016/j.asoc.2009.10.014

Cited by 45 publications

(21 citation statements)

References 21 publications

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“…The parameters of PSO and IPSO used here are also given in Tables 2a and b, respectively. The appropriate values of the IPSO parameters have been selected using a trial and error procedure and also some guidelines addressed in the study of Seyedpoor et al (2011). For example, it was found that the best value for i parameter is to select it as 50% of the total number of swarm.…”

Section: Test Examplementioning

confidence: 99%

“…In another study, an adaptive neurofuzzy inference system (ANFIS) has been utilized to predict the arch dam response in order to reduce the computational cost of the optimization process (Hamidian and Seyedpoor 2010). Optimal design of arch dams using a combination of simultaneous perturbation stochastic approximation (SPSA) and particle swarm algorithms has been made by Seyedpoor et al (2011).…”

mentioning

confidence: 99%

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Shape optimal design of materially nonlinear arch dams including dam-water-foundation rock interaction using an improved PSO algorithm

Seyedpoor

Salajegheh

2011

Optim Eng

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An efficient optimization procedure is proposed to find the optimal shape of arch dams including dam-water-foundation rock interaction subject to earthquake. The arch dam is treated as a three-dimensional structure involving the material nonlinearity effects. For this purpose, the nonlinear behavior of the dam concrete is idealized as an elasto-plastic material using the Drucker-Prager model. In order to reduce the computational cost of optimization process, a wavelet back propagation (WBP) neural network is designed to approximate the dam response instead of directly evaluating it by a time-consuming finite element analysis (FEA). An improved particle swarm optimization (IPSO) is also presented. In test example, the computational merits of the proposed methodology for optimizing an existing arch dam are demonstrated.

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Section: Test Examplementioning

confidence: 99%

mentioning

confidence: 99%

Shape optimal design of materially nonlinear arch dams including dam-water-foundation rock interaction using an improved PSO algorithm

Seyedpoor

Salajegheh

2011

Optim Eng

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“…Koraci provedbe algoritma za istovremeno stohastičko predviđanje poremećaja objašnjeni su u šest koraka kako slijedi [9].…”

Section: Algoritam Za Optimalizacijuunclassified

Optimalizacija oblika lučnih mostova s otvorenim nadlučnim sklopom

Pouraminian¹,

Ghaemian

2015

JCE

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Optimalizacija oblika lučnih mostova s otvorenim nadlučnim sklopom U ovom se radu analizira lučni most s otvorenim nadlučnim sklopom. Računalni kod je izveden za izradu modela na temelju geometrijskih podataka, a radi rješavanja problema optimalizacije. U ovom se radu provodi postupak optimalnog projektiranja, a ukupan obujam materijala ugrađenog u donji ustroj mosta usvaja se kao objektivna funkcija. Donji ustroj sadrži stup i armiranobetonski luk. Na kraju je proveden i postupak optimalizacije pomoću algoritma za istovremeno stohastičko predviđanje poremećaja. An open spandrel arch bridge is analysed in this paper. A computer code is written to create a model from geometrical data, so as to solve the optimisation problem. An optimum design procedure is conducted in the paper, and the total material volume of the bridge substructure is adopted as an objective function. The substructure includes the column and the reinforced-concrete arch. Finally, the optimization technique is implemented using the Simultaneous Perturbation Stochastic Approximation algorithm.

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“…Iteration or termination. Return to Step 2 with k + 1 replacing k. Terminate the algorithm if the Maximum Number of Iterations (MNI) has been reached [28]. The ow chart of SPSA algorithm for the arch dam optimization problem can be shown in Figure 11.…”

Section: Optimization Algorithmmentioning

confidence: 99%

“…The nite element analysis and optimization procedure are implemented by commercial programs. The combination of Simultaneous Perturbation Stochastic Approximation (SPSA) and Particle Swarm Optimization (PSO) algorithm is introduced by Hamidian et al [28] to nd the optimal shapes of arch dams. Akbari et al [29] employed a new algorithm for geometry modeling of arch dams using Hermit cubic splines and the optimization problem solved via the Sequential Quadratic Programming (SQP) method.…”

Section: Introductionmentioning

confidence: 99%

The Shape Optimization of concrete arch dams considering stage construction

2016

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Abstract. This paper describes a methodology to develop the interface between a nite element software and optimization algorithm for optimization of concrete high arch dams. The objective function is the volume of the dam. The numbers of design variables are 31 including the thickness and upstream pro le of crown cantilever, thickness of the left and right abutments, radius of curvature of water and air faces left and right by use of polynomial curve tting and cubic spline function. The constraint conditions are the geometric shape, stress, and the stability against sliding. Initially, a program is developed in MATLAB in order to generate the coordinates of nodes; then, nite element software ANSYS is taken for modeling the geometry of dam. Finally, the optimization technique is performed by Simultaneous Perturbation Stochastic Approximation algorithm. To include dead weight of dam body, stage construction is considered. The proposed method is applied successfully to an arch dam and good results are achieved. The results indicate that the concrete volume of the optimized dam is reduced by an average of 21%. Compared with the initial shape, the time of convergence in this method is very short and the method is fairly e ective. It can be applied to practical engineering design.

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Optimal design of arch dams subjected to earthquake loading by a combination of simultaneous perturbation stochastic approximation and particle swarm algorithms

Cited by 45 publications

References 21 publications

Shape optimal design of materially nonlinear arch dams including dam-water-foundation rock interaction using an improved PSO algorithm

Shape optimal design of materially nonlinear arch dams including dam-water-foundation rock interaction using an improved PSO algorithm

Optimalizacija oblika lučnih mostova s otvorenim nadlučnim sklopom

The Shape Optimization of concrete arch dams considering stage construction

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