Design Optimization of Rubber-Basalt Fiber- Modified Concrete Mix Ratios Based on a Response Surface Method

Gong, Yafeng; Song, Jiaxiang; Lin, Siyuan; Yang, Jie; He, Yang; Tan, Guojin

doi:10.3390/app10196753

Cited by 14 publications

(9 citation statements)

References 28 publications

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“…e demonstration at that point is if the appraisal is adequate. Design-Expert v11 is a type of quantifiable software that contains test designs, numerical equations, factual research, and response optimization [37]. is approach of analysis of variance (Linear-ANOVA) is used to design the interaction between input variables and their impact on the output.…”

Section: Response Surface Methods (Rsm)mentioning

confidence: 99%

Influence of Marble Powder and Polypropylene Fibers on the Strength and Durability Properties of Self-Compacting Concrete (SCC)

Ali

Hussain

Akbar

et al. 2022

Advances in Materials Science and Engineering

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The purpose of this study was to investigate the effect of polypropylene fiber reinforced self-compacting concrete (SCC) at both the fresh and hardened stages, as well as their durability behavior. Properties of marble powder-based fiber reinforced SCC at fresh state were studied by means of slump flow diameter and flow time, V-funnel, and L-box test. The concrete properties at the hardened state were examined regarding compressive strength, split tensile strength, and flexural strength. Cement was replaced with marble powder with a substituting ratio of 4%, 8%, 12%, and 16% while polypropylene fibers were added as 0.1%, 0.2%, 0.3%, and 0.4%. The durability properties were analysed in the form of water permeability and chloride migration. In accordance with the outcomes of the tests, the workability of SCC deteriorated with an increase in fiber content, although it performed effectively at higher marble dosages. There was little impact of fibers on compressive strength and water permeability property of SCC. However, by adding the fibers in SCC improved both the split tensile strength and flexural strength by 16.92% and 11.36%, respectively. The addition of marble powder showed a synergetic effect with polypropylene fibers, which showed its applicability in SCC. The chloride resistance was improved at lower content of polypropylene fiber addition. For optimizing polypropylene fibers (pp) and marble powder substitution, the polynomial work expectation justifies the response surface technique (RSM). When a p value of 0.05 is used to analyse the variation in the (Linear-ANOVA), the model is considered statistically significant. Performance of concrete was greatly enhanced by substituting 12% marble powder with cement and adding 3% polypropylene fiber.

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Section: Response Surface Methods (Rsm)mentioning

confidence: 99%

Influence of Marble Powder and Polypropylene Fibers on the Strength and Durability Properties of Self-Compacting Concrete (SCC)

Ali

Hussain

Akbar

et al. 2022

Advances in Materials Science and Engineering

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“…In this research, the design of the fractional factorial experiment (FFD) was chosen because it is an experimental design that uses half the number of experiments from the design of a full number of factorial experiments [14,15]. In the case of a study using five factors, the FD experiment used a total of 32 experiments, FFD are used to halve the number of experiments, using only 16, while still maintaining efficient results analysis.…”

Section: Methodsmentioning

confidence: 99%

Model Analyzing for Reusing Gold Wire Capillary in the Gold Wire Bonding Process

Phimpha¹,

Sindhuchao²

2021

IIUMEJ

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Manufacturing process improvement is necessary for manufacturers to gain business advantages. Re-using or increasing the useful lives of machine parts is considered to be a process of performance improvement. To re-use parts, the manufacturers must know the effects of the factors related to workpieces' qualities to prevent defects. This research study aims at presenting the results of analysing the effects of the factors and mathematical models for bond shear strength when reusing gold wire bonding capillary in the gold wire bonding process of integrated circuit (IC) products using design experiment. The operation factors in the reference experiment, including bond force, bond time, USG current, EFO current and EFO gap, are investigated. The Fractional Factorial Design was used to determine five factors that affect the bond shear strength. The analysis of the results show that the bond force is a significant factor where increasing bond force factors leads to increasing bond shear strength. In the end, a Regression model of bond shear strength is obtained to show the result between the bond shear strength and effect of factors. ABSTRAK: Proses pembaharuan pengilangan adalah penting untuk para pengilang bagi memperoleh keuntungan bisnes. Guna-semula atau menambah jangka hayat pada bahagian-bahagian tertentu pada mesin adalah dianggar sebahagian proses penambahbaikan prestasi mesin. Bagi mengguna semula bahagian-bahagian ini, pengilang mesti mengetahui akibat sesuatu faktor berkaitan kualiti bahan bagi mengelak kecacatan. Kajian ini bertujuan menyampaikan dapatan kajian melalui kesan faktor dan model matematik pada kekuatan ricihan ikatan apabila mengguna semula wayar emas melalui proses kapilari ikatan wayar emas pada produk litar bersepadu melalui rekaan eksperimen. Faktor operasi melalui rujukan eksperimen dari daya ikatan, masa ikatan, arus USG, arus EFO dan jarak EFO dikaji. Rekaan Faktorial Pecahan digunakan bagi mendapatkan lima faktor yang mempengaruhi kekuatan ricihan ikatan. Dapatan kajian menunjukkan daya ikatan merupakan faktor penting di mana, pertambahan faktor daya ikatan menguatkan ricihan ikatan. Akhirnya, model Regression kekuatan ricihan ikatan diperoleh bagi menjelaskan dapatan kajian antara kekuatan ricihan ikatan dan kesan faktor.

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“…The existing literature shows that rubber aggregate and basalt fibre have been proved to help modify concrete [54]. Waste rubber materials can be recycled to reduce environmental pollution.…”

Section: Case Study Iii: Optimization With Four Objectivesmentioning

confidence: 99%

“…The preparation parameters are regarded as the waterbinder ratio (X 1 ) and basalt fibre content (X 2 ) as well as rubber content (X 3 ); and slump (Y 1 ), flexural strength (Y 2 ) and compressive strength (Y 3 ) represent response variables. The experimental design and outputs with 17 groups of rubber and basalt fibre-modified concretes are listed in detail in the study [54].…”

Section: Data Descriptionmentioning

confidence: 99%

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Machine Learning Approach to Develop a Novel Multi-Objective Optimization Method for Pavement Material Proportion

Liang

Chen

et al. 2021

Applied Sciences

Self Cite

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Asphalt mixture proportion design is one of the most important steps in asphalt pavement design and application. This study proposes a novel multi-objective particle swarm optimization (MOPSO) algorithm employing the Gaussian process regression (GPR)-based machine learning (ML) method for multi-variable, multi-level optimization problems with multiple constraints. First, the GPR-based ML method is proposed to model the objective and constraint functions without the explicit relationships between variables and objectives. In the optimization step, the metaheuristic algorithm based on adaptive weight multi-objective particle swarm optimization (AWMOPSO) is used to achieve the global optimal solution, which is very efficient for the objectives and constraints without mathematical relationships. The results showed that the optimal GPR model could describe the relationship between variables and objectives well in terms of root-mean-square error (RMSE) and R2. After the optimization by the proposed GPR-AWMOPSO algorithm, the comprehensive pavement performances were enhanced in terms of the permanent deformation resistance at high temperature, crack resistance at low temperature as well as moisture stability. Therefore, the proposed GPR-AWMOPSO algorithm is the best option and efficient for maximizing the performances of composite modified asphalt mixture. The GPR-AWMOPSO algorithm has advantages of less computational time and fewer samples, higher accuracy, etc. over traditional laboratory-based experimental methods, which can serve as guidance for the proportion optimization design of asphalt pavement.

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Design Optimization of Rubber-Basalt Fiber- Modified Concrete Mix Ratios Based on a Response Surface Method

Cited by 14 publications

References 28 publications

Influence of Marble Powder and Polypropylene Fibers on the Strength and Durability Properties of Self-Compacting Concrete (SCC)

Influence of Marble Powder and Polypropylene Fibers on the Strength and Durability Properties of Self-Compacting Concrete (SCC)

Model Analyzing for Reusing Gold Wire Capillary in the Gold Wire Bonding Process

Machine Learning Approach to Develop a Novel Multi-Objective Optimization Method for Pavement Material Proportion

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