Elephant Herding Optimization Based Neural Network to Predict Elastic Modulus of Concrete

Adarsha, B. S.; Narayana, Harish; Janardhan, Prashanth; Mandal, S.

doi:10.1007/978-981-15-0035-0_28

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Adarsha et al [168] introduced a hybridized technique named elephant herding optimization-based artificial neural network (EHO-ANN). Furthermore, the complicated experimental procedures for finding the elastic modulus of concrete was solved by the EHO-ANN.…”

Section: Civil Engineeringmentioning

confidence: 99%

Elephant Herding Optimization: Variants, Hybrids, and Applications

et al. 2020

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Elephant herding optimization (EHO) is a nature-inspired metaheuristic optimization algorithm based on the herding behavior of elephants. EHO uses a clan operator to update the distance of the elephants in each clan with respect to the position of a matriarch elephant. The superiority of the EHO method to several state-of-the-art metaheuristic algorithms has been demonstrated for many benchmark problems and in various application areas. A comprehensive review for the EHO-based algorithms and their applications are presented in this paper. Various aspects of the EHO variants for continuous optimization, combinatorial optimization, constrained optimization, and multi-objective optimization are reviewed. Future directions for research in the area of EHO are further discussed.

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Section: Civil Engineeringmentioning

confidence: 99%

Elephant Herding Optimization: Variants, Hybrids, and Applications

et al. 2020

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“…The flexural strength of cement mortars containing nano and micro silica was predicted using ANN and genetic expression programming (GEP) [ 24 ]. The prediction of elastic modulus of concrete [ 36 ] and recycled aggregate concrete [ 37 , 38 ] was conducted by elephant herding optimization and ANN, respectively. An estimation of the compressive strength of concrete obtained by mechanical wave velocities was conducted using the ANN method [ 39 , 40 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of Shrinkage Reducing Admixture on Drying Shrinkage of Concrete with Different w/c Ratios

et al. 2020

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The reduction of the moisture content of concrete during the drying process reduces the concrete’s volume and causes it to shrink. In general, concrete shrinkage is a phenomenon that causes concrete volume to dwindle and can lead to durability problems. There are different types of this phenomenon, among them chemical shrinkage, autogenous shrinkage, drying shrinkage including free shrinkage and restrained shrinkage, and thermal contraction. Shrinkage-reducing admixtures are commercially available in different forms. The present study investigates the effect of liquid propylene glycol ether on mechanical properties and free shrinkage induced by drying at different water-cement (w/c) ratios. Furthermore, the effect of shrinkage-reducing admixtures on the properties of hardened concrete such as compressive and tensile strength, electrical resistivity, modulus of elasticity, free drying shrinkage, water absorption, and depth of water penetration was investigated. The results indicated that shrinkage reducing agents performed better in a low w/c ratio and resulted in up to 50% shrinkage reduction, which was due to the surface reduction of capillary pores. The prediction of free shrinkage due to drying was also performed using an artificial neural network.

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Elephant Herding Optimization Based Neural Network to Predict Elastic Modulus of Concrete

Cited by 2 publications

References 18 publications

Elephant Herding Optimization: Variants, Hybrids, and Applications

Elephant Herding Optimization: Variants, Hybrids, and Applications

Effect of Shrinkage Reducing Admixture on Drying Shrinkage of Concrete with Different w/c Ratios

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