Metaheuristics-based Pre-Design Guide for Cantilever Retaining Walls

Uray, Esra; Tan, Özcan; Çarbaş, Serdar; Erkan, Hakkı İbrahim

doi:10.18400/tekderg.561956

Cited by 11 publications

(11 citation statements)

References 17 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There is a good conformity between the experimental and the predicted results: qu, predicted=0.987qu, experimental. These results are confirmed with other researchers for the feasibility and robustness of the Taguchi method [37,38] and desirability function approach [31,39]. q 0.5 = -33.7 + 9.51C + 5.90F -0.315A + 57.6(w/b) -0.911wn + 0.124P -0.583CF -7.1C(w/b) + 0.0014CP -4.96F(w/b) + 0.0219FP + 0.560CF(w/b) -0.00151CFP (6)…”

Section: Unconfined Compression Strength (Ucs) Testsupporting

confidence: 91%

Investigating the construction parameters of deep mixing columns in silty soils

Yenginar

Mobark

Olgun

2021

International Advanced Researches and Engineering Journal

View full text Add to dashboard Cite

In the present research, the optimum condition of the grout consisting of cement, fly ash, superplasticizer, and water was determined to produce the most durable and impermeable deep mixing columns (DMC) on silty soils. It is aimed to reduce the grout cost and environmental pollution by using high-rate fly ash in the grout. Superplasticizer additive was used to increase the flow consistency of grout consisting of high-rate fly ash. The design of the experiments was made using the 5-parameter and 4-level L16 orthogonal array table specific to the Taguchi method. Accordingly, the unconfined compression strength (qu) and the permeability coefficient (k) of the soil-binder mixtures at the end of the 7-and 28-days curing time were determined. According to the test results, regression analyzes were performed and models with high reliability were created for qu and k. As a result of optimization studies, to produce DMC having high strength and low permeability, grout content should be consisting of 14% cement, 14% fly ash (ratio of fly ash in the binder is 50%), 2.68% super plasticizer additive, and 0.95 water/binder ratio. The pozzolanic reactions in soil-binder samples with different grout contents were examined by SEM analysis.

show abstract

Section: Unconfined Compression Strength (Ucs) Testsupporting

confidence: 91%

Investigating the construction parameters of deep mixing columns in silty soils

Yenginar

Mobark

Olgun

2021

International Advanced Researches and Engineering Journal

View full text Add to dashboard Cite

show abstract

“…is value can be then set as objective to be optimized. e multiobjective optimization is still a developing concept and has been applied by Purohit [21], Kaveh et al [47], Khajehzadeh et al [49], Rahbari [23], Rahbari et al [64], Kalateh-Ahani and Sarani [68], Kayabekir et al [75], Ravichandran et al [84], Uray et al [92], Dodigović et al [94], and Tutus ¸et al [95]. e study of Kayabekir et al [75] has also attempted to vary the cost of concrete and steel to study their effects on optimization with respect to economical and sustainable design.…”

Section: Objective Functionmentioning

confidence: 99%

Design Optimization of Reinforced Concrete Cantilever Retaining Walls: A State‐of‐the‐Art Review

Shakeel

Azam

Riaz

et al. 2022

Advances in Civil Engineering

View full text Add to dashboard Cite

The booming growth of computational abilities in the 21st century has led to its assimilation and benefit in all horizons of engineering. For civil engineers, these advancements have led to groundbreaking technologies such as BIM, automation, and optimization. Unfortunately, even in an era of dwindling resources and dire need for sustainability, optimization has failed to attract implementation in practice. Despite an exponential growth as an area of research interest, the optimization of engineering structures such as reinforced concrete (RC) is still a complex task that requires multidisciplinary knowledge, hindering its practicability. Although past review papers have delved into this topic, they have only been able to cover the breadth of information available by covering broader aspects of optimization of structures. This study on the other hand aims to cover this topic in depth to uncover problem specific trends and issues, by focusing only on optimization of RC cantilever retaining walls. Although there is an abundance of research studies on this topic, there is an absence of any critical review to tie them up, and concurrently with its broader scope, it suffers the same lack of applicability in the field. The in-depth review presents a summarization of all the online publications including research articles, conference papers, and theses to the best of authors’ knowledge on the topic of RC cantilever retaining wall optimization. Geographical trends, regional developments, and prominent journals have been identified. The design codes, problem formulation, objectives, constraints, variables, and their optimization techniques are tabulated for ease of understanding. Unique areas of development investigated by the different researchers have been highlighted. Lastly, comprehensive recommendations for future works have been detailed with a focus on improving its applicability and assimilation into the construction industry.

show abstract

“…In the study, which is conducted shape optimization design by employing Taguchi method hybrid version with the HSA, more optimum design variable values have been acquired regardless of the investigating for optimum values of the HSA parameters [32]. In the study which used statistical mathematical models improved by considering the Taguchi method employed as objective function and design constraints, the optimum design of the cantilever retaining wall has been investigated via HSA [33]. According to the extensive research results in the literature, no study has been found in which the optimum values for the number of runs and the number of maximum iterations with optimum HSA control parameters have been investigated based on the Taguchi method with different engineering problems.…”

Section: Introductionmentioning

confidence: 99%

Parameters Optimization of Taguchi Method Integrated Hybrid Harmony Search Algorithm for Engineering Design Problems

et al. 2022

Self Cite

View full text Add to dashboard Cite

Performance of convergence to the optimum value is not completely a known process due to characteristics of the considered design problem and floating values of optimization algorithm control parameters. However, increasing robustness and effectiveness of an optimization algorithm may be possible statistically by estimating proper algorithm parameters values. Not only the algorithm which utilizes these estimated-proper algorithm parameter values may enable to find the best fitness in a shorter time, but also it may supply the optimum searching process with a pragmatical manner. This study focuses on the statistical investigation of the optimum values for the control parameters of the harmony search algorithm and their effects on the best solution. For this purpose, the Taguchi method integrated hybrid harmony search algorithm has been presented as an alternative method for optimization analyses instead of sensitivity analyses which are generally used for the investigation of the proper algorithm parameters. The harmony memory size, the harmony memory considering rate, the pitch adjustment rate, the maximum iteration number, and the independent run number of entire iterations have been debated as the algorithm control parameters of the harmony search algorithm. To observe the effects of design problem characteristics on control parameters, the new hybrid method has been applied to different engineering optimization problems including several engineering-optimization examples and a real-size engineering optimization design. End of extensive optimization and statistical analyses to achieve optimum values of control parameters providing rapid convergence to optimum fitness value and handling constraints have been estimated with reasonable relative errors. Employing the Taguchi method integrated hybrid harmony search algorithm in parameter optimization has been demonstrated as it is a reliable and efficient manner to obtain the optimum results with fewer numbers of run and iteration.

show abstract

Metaheuristics-based Pre-Design Guide for Cantilever Retaining Walls

Cited by 11 publications

References 17 publications

Investigating the construction parameters of deep mixing columns in silty soils

Investigating the construction parameters of deep mixing columns in silty soils

Design Optimization of Reinforced Concrete Cantilever Retaining Walls: A State‐of‐the‐Art Review

Parameters Optimization of Taguchi Method Integrated Hybrid Harmony Search Algorithm for Engineering Design Problems

Contact Info

Product

Resources

About