Optimization of Design Parameters and Cost of Geosynthetic-Reinforced Earth Walls Using Harmony Search Algorithm

Manahiloh, Kalehiwot Nega; Nejad, Mohammad Motalleb; Momeni, Mohammad

doi:10.1007/s40891-015-0017-3

Cited by 15 publications

(19 citation statements)

References 22 publications

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“…[8] uses an optimization approach on cost. [9] introduces an advanced technique in finding a nonlinear optimization model for MSE wall design parameters. This paper rather investigates the behaviour of varying parameters in designing an MBW first then utilizing a nonlinear optimization model via GAMS nonlinear software to minimize the geogrid reinforcements satisfying the constraints in external stability and internal stability.…”

Section: Fig 1 Mse Wall Types (Fhwa-nhi-00-043) Formentioning

confidence: 99%

A nonlinear optimization model on the reinforcement length of a modular block wall by varying surcharge and soil strength parameters

Chatpattananan

Kongsomboon

2018

MATEC Web Conf.

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Abstract. This study proposes a nonlinear optimization approach in designing a modular block wall which is a type of the mechanical stabilized earth wall. A nonlinear optimization model is proposed based on minimizing the reinforcement length where the constraints considered are the external stability and the internal stability. The optimum reinforcement length can be determined based on available soil strength parameters and the maximum surcharge. This study also includes the parametric study of the reinforced soil, retained soil, and foundation soil by varying the ranges of the wall height, surcharge, and soil strength parameters in density and friction angle to see the behaviours of the aforementioned external stability and internal stability. This can be beneficial in designing this modular block wall encountering a poor soil condition or a large amount surcharge.

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Section: Fig 1 Mse Wall Types (Fhwa-nhi-00-043) Formentioning

confidence: 99%

A nonlinear optimization model on the reinforcement length of a modular block wall by varying surcharge and soil strength parameters

Chatpattananan

Kongsomboon

2018

MATEC Web Conf.

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“…Internal stability analysis of non-uniform lengths and spacing is exactly the same as that of uniform lengths and spacing. Details regarding this have been covered in other literature [1,28].…”

Section: Analysis Of Geosynthetic-reinforced Earth Wallmentioning

confidence: 99%

“…In the evaluation of external stability for a wall under dynamic conditions, in addition to the static forces, the inertial force and half of the dynamic soil thrust are assumed to act on the wall [28]. The details for dynamic considerations can be referred from earlier works [1,32].…”

Section: Analysis Of Geosynthetic-reinforced Earth Wallmentioning

confidence: 99%

“…Retaining walls are among the most extensively used structural elements in the construction industry [1]. In spite of their ubiquitousness, applicability of non-reinforced retaining walls is confined to lower heights [2].…”

Section: Introductionmentioning

confidence: 99%

“…Basudhar et al [27] optimized Geosynthetic-reinforced walls using Sequential Unconstrained Minimization Technique (SUMT algorithm). Using HSA, and assuming the constant-length and number of Geosynthetic layers as design variables and construction cost as the objective function, Manahiloh et al optimized the design of Geosynthetic-reinforced walls [1]. In both studies the length of reinforcement and the spacing between adjacent layers were set to be constant.…”

Section: Introductionmentioning

confidence: 99%

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A Modified Harmony Search Algorithm for the Optimum Design of Earth Walls Reinforced with Non-uniform Geosynthetic Layers

Nejad

Manahiloh

2015

Int. J. of Geosynth. and Ground Eng.

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Traditional design and construction of reinforced earth walls assumes uniform length and spacing of reinforcements. Even though the assumption simplifies the design and construction efforts, the inherently conservative approaches followed in picking the final values for the reinforcement length and spacing result in unnecessarily big construction costs. This paper presents an improved harmony search-based approach that can be adopted to optimize the design of Geosynthetic-reinforced earth walls. An existing improved harmony search algorithm is modified into a new harmony search algorithm by extending its capabilities to consider permutation-based operations for interdependent variables. The involved optimization procedures are discussed in a step-wise approach. This novel approach allows the consideration of non-uniform length and spacing for the reinforcement layers. As such, length of the Geosynthetic reinforcement and the spacing between adjacent Geosynthetic layers are taken as the design variables to be manipulated until the cost of construction is optimized. Static and dynamic loads are considered. the application of the proposed optimization technique is demonstrated on Geosynthetic-reinforced earth walls of height 5, 7 and 9 m. The extent of cost saving is assessed by comparing the results of this work and previous work. The previous work selected for comparison uses harmony search algorithm to optimize the design and construction of Earth Walls reinforced with uniform length-and spacing-Geosynthetic layers. The IHS-based optimization resulted in Cost reduction of up to 11 %. Keywords Geosynthetics Á Reinforced earth walls Á Metaheuristic Á Improved harmony search algorithm (IHSA) Á Optimization Á Pitch adjustment rate (PAR) Á Harmony consideration rate (HCR)

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Multi‐objective optimization of mechanically stabilized earth retaining wall using evolutionary algorithms

Kashani

Camp

Azizi

et al. 2022

Num Anal Meth Geomechanics

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This paper uses evolutionary optimization algorithms to study the multi‐objective optimization of mechanically stabilized earth (MSE) retaining walls. Five multi‐objective optimization algorithms, including the non‐dominated sorting genetic algorithm II (NSGA‐II), strength Pareto evolutionary algorithm II (SPEA‐II), multi‐objective particle swarm optimization (MOPSO), multi‐objective multi‐verse optimization (MVO), and Pareto envelope‐based selection algorithm II (PESA‐II), are applied to the design procedure. MSE wall design requires two major requirements: external stability and internal stability. In this study, the optimality criterion is to minimize cost and its trade‐off with the factor of safety (FOS). To this end, two objectives are defined: (1) minimum cost, (2) maximum FOS. Three different strategies are considered for reinforcement combinations in the numerical simulations. Moreover, a sensitivity analysis was conducted on the variation of significant parameters, including backfill slope, wall height, horizontal earthquake coefficient, and surcharge load. The efficiency of the utilized algorithms was assessed through three well‐known coverage set measures, diversity, and hypervolume. These measures were further examined using basic statistical measures (i.e., min, max, standard deviation) and the Friedman test with a 95% confidence level.

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Optimization of Design Parameters and Cost of Geosynthetic-Reinforced Earth Walls Using Harmony Search Algorithm

Cited by 15 publications

References 22 publications

A nonlinear optimization model on the reinforcement length of a modular block wall by varying surcharge and soil strength parameters

A nonlinear optimization model on the reinforcement length of a modular block wall by varying surcharge and soil strength parameters

A Modified Harmony Search Algorithm for the Optimum Design of Earth Walls Reinforced with Non-uniform Geosynthetic Layers

Multi‐objective optimization of mechanically stabilized earth retaining wall using evolutionary algorithms

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