A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony

Omkar, S. N.; Senthilnath, J.; Khandelwal, Rahul; Shivanath, Narendra

doi:10.4018/ijamc.2016100101

Cited by 12 publications

(4 citation statements)

References 41 publications

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“…The aftereffects of the multiobjecive approach show how the quest for setups planned for amplifying the worldwide vitality sparing prompts an intensifying of the straightforward restitution time frame. Later many researchers 28‐31 handled Multi objective optimisation to solve problems in current senerio.…”

Section: Literature Reviewmentioning

confidence: 99%

Solution of intuitionistic fuzzy linear programming problem by dual simplex algorithm and sensitivity analysis

Mohan¹,

Kannusamy²,

Sidhu

2021

Computational Intelligence

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Sensitivity analysis is designed to study the effect on the optimal solution of changes in model parameters. This analysis is known to be an integral part of any real-life problem solving. This gives a system a dynamic function that enables a researcher to analyze the behavior of the optimal solution as a result of changing the parameters of the model. In this article, postoptimality analysis for changes in objective functions and constraints is presented with suitable numerical illustrations by dual simplex method using magnitude based ranking of triangular intuitionistic fuzzy numbers. The sensitivity range is determined within which the parameters that exist in intuitionistic fuzzy linear programming problem can vary without affecting the optimality of the solution.

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Section: Literature Reviewmentioning

confidence: 99%

Solution of intuitionistic fuzzy linear programming problem by dual simplex algorithm and sensitivity analysis

Mohan¹,

Kannusamy²,

Sidhu

2021

Computational Intelligence

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“…Their results indicated that the hybrid MFA-ANN model accurately predicted compressive and tensile strengths in concrete. Although many optimization techniques have been applied in various fields regarding cementitious materials [31][32][33][34] and structure, 35,36 developing other optimization algorithms such as ACO, PSO, and biogeographybased optimization 37 (BBO) may be of interest to determine the optimization parameters in ANN training.…”

Section: Introductionmentioning

confidence: 99%

New insight into the prediction of strength properties of cementitious mortar containing nano‐ and micro‐silica based on porosity using hybrid artificial intelligence techniques

Kazemi

Eskandari‐Naddaf

Korouzhdeh

2023

Structural Concrete

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Nowadays, the accurate prediction of strength properties of cementitious materials containing nano‐ and micro‐silica (NS–MS) remains an open question because of the highly nonlinear function of its constituents on the porosity. In the present study, a combined framework is developed by integrating ant colony optimization (ACO), particle swarm optimization (PSO), and biogeography‐based optimization (BBO) with the artificial neural network (ANN) to predict compressive and flexural strengths of cement mortar in two different forms of ignoring (ANNII) and considering (ANNIII) the porosity as an input parameter. This procedure is accomplished considering the porosity effect on the strengths and implementing an experimental program containing 32 mixes (960 specimens) with different NS–MS contents at various ages. Macro‐ and micro‐structural analyses showed that NS–MS caused more decreased pore structure, and thus this situation increases strength properties compared to their separate use. Also, MBBO‐MOANNIII results indicated an improvement in convergence speed and model accuracy compared to other models. This improvement is because of considering the porosity.

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“…S.N. Omkaret et al [6] proposed that cement-solidified soft soil can reach an elevated curing strength. By establishing a simplified viscoelastic-continuity failure (S-VECD) theory based on viscous-continuity failure, the effects of different amounts and ages of cementitious materials on the properties of cementitious materials are investigated, so as to provide a theoretical basis for the popularization of cementitious materials.…”

Section: Introductionmentioning

confidence: 99%

Investigation into the Rheological Properties and Microstructure of Silt/Crumb Rubber Compound-Modified Asphalt

et al. 2023

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Near the coast of China, a large amount of sediment is produced during construction work. In order to mitigate the environmental damage caused by sediment and enhance the performance of rubber-modified asphalt effectively, solidified silt material and waste rubber were prepared to modify asphalt, and its macroscopic properties, such as viscosity and chemical composition, were determined via a routine physical test, DSR, Fourier Transform Infrared Spectroscopy (FTIR), and Fluorescence Microscopy (FM). The results show that, with the increase in powder particles and the addition of a certain amount of hardened mud, the mixing and compaction temperature of modified asphalt can be significantly increased—still reaching the design standard. In addition, the high thermal stability and fatigue resistance of the modified asphalt were clearly better than those of the ordinary asphalt. From the FTIR analysis, rubber particles and hardened silt only exhibited mechanical agitation with the asphalt. Considering that excessive silt might result in the aggregation of matrix asphalt, the addition of an appropriate amount of hardened solidified silt material can eliminate the aggregation. Therefore, the performance of modified asphalt was optimum when solidified silt was added. Our research can provide an effective theoretical basis and reference values for the practical application of compound-modified asphalt. Therefore, 6%HCS(6:4)-CRMA have better performance. Compared to ordinary rubber-modified asphalt, the composite-modified asphalt binder has better physical properties and a more suitable construction temperature. The composite-modified asphalt uses discarded rubber and silt as raw materials, which can effectively protect the environment. Meanwhile, the modified asphalt has excellent rheological properties and fatigue resistance.

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A Novel Multiobjective Optimization for Cement Stabilized Soft Soil based on Artificial Bee Colony

Cited by 12 publications

References 41 publications

Solution of intuitionistic fuzzy linear programming problem by dual simplex algorithm and sensitivity analysis

Solution of intuitionistic fuzzy linear programming problem by dual simplex algorithm and sensitivity analysis

New insight into the prediction of strength properties of cementitious mortar containing nano‐ and micro‐silica based on porosity using hybrid artificial intelligence techniques

Investigation into the Rheological Properties and Microstructure of Silt/Crumb Rubber Compound-Modified Asphalt

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