Parameter optimization and regression analysis for multi-index of hybrid fiber-reinforced recycled coarse aggregate concrete using orthogonal experimental design

Feng, Junjie; Yin, Guansheng; Tuo, Hongliang; Niu, Zhiqiang

doi:10.1016/j.conbuildmat.2020.121013

Cited by 38 publications

(13 citation statements)

References 39 publications

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“…e extreme difference reflects the effect of the factor on the flexural strength [26]. From the table, it can be seen that R follows the sequence of C (gradation) > A (fly ash) B > (slag), indicating that the gradation of large size cobbles is the most important influencing factor for the performance of the concrete while slag presents the weakest effect.…”

Section: Hardened Concrete Propertiesmentioning

confidence: 97%

Numerical Analysis of Microcracks of Fly Ash/Slag Concrete with Cobble as Coarse Aggregate

Song-fang

Gao

2022

Advances in Materials Science and Engineering

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In order to improve mechanical properties of fly ash/slag concrete with large size cobble as coarse aggregate, this paper analyzes the effect of different factors on the concrete through the flexural strength test. The Monte Carlo simulation is used in the finite element solver of ANSYS to conduct the four-point bending beam test. Three-dimensional and two-dimensional finite element models are established to discuss how the gradation of large size cobbles affects the performance of the concrete by comparing macromechanical experiments. Results show that the gradation of large size cobbles is the main factor affecting the performance of the concrete. Slag generates the least effect on the concrete with cobble as coarse aggregate. When the mixing amount of slag and fly ash is 10%, the concrete presents the best flexural performance. Through the numerical loading test of the two-dimensional model for fly ash/slag concrete with cobble as coarse aggregate, it can be concluded that the change of the concrete follows the law of macromechanical properties.

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Section: Hardened Concrete Propertiesmentioning

confidence: 97%

Numerical Analysis of Microcracks of Fly Ash/Slag Concrete with Cobble as Coarse Aggregate

Song-fang

Gao

2022

Advances in Materials Science and Engineering

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“…According to the maximum displacement of the roof and the Plastic zone volume obtained from the above orthogonal experiment, the mean value of each factor is calculated according to formulas ( 3 ) and ( 4 ) 46 . where K ij is the statistical parameter of the result of factor i at the j level; Y ijc (c = 1, 2, 3, …d) is the experimental result obtained in the experiment of group c .…”

Section: Numerical Simulation Of Roadway Deformation and Failure Unde...mentioning

confidence: 99%

Numerical simulation of roadway deformation and failure under different degrees of dynamic disturbance

Jia

Fan

et al. 2022

Sci Rep

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Deformation and failure of the roadway surrounding rock under dynamic disturbance were explored, which is essential for the control of the surrounding rock. The impact of dynamic disturbance on the deformation and failure of the roadway surrounding rock was studied from a single factor perspective using numerical simulation software. The disturbance intensity, frequency, and time were determined to affect the deformation and plastic zone of the surrounding rock. Firstly, a multi-factor integrated study was achieved using an orthogonal experimental design, and the impact of the three factors on the deformation and plastic zone of the surrounding rock were studied by applying mean value and extreme difference. The results show that the degree of influence of deformation of the roof is time > intensity > frequency in order. The impact of the plastic zone volume is intensity > frequency > time in order. Finally, a multivariate regression model was established using multiple regression analysis. The P = 0 < 0.05 for the regression model is obtained by variance analysis, and the equation regression is significant, which can effectively predict the deformation and failure of the surrounding rock under dynamic disturbance.

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“…The orthogonal design of the experiment was a method to arrange and analyze experiments with factors and levels utilizing the orthogonal table. Representative tests were selected from all combinations to analyze the comprehensive experiments and to obtain the optimum combination through these test results [38]. In order to study the effect of foam and admixture on the compressive and flexural strength, dry density, and the softening coefficient of the LFPM, a four-factor and four-level orthogonal table L 16 (4 5 ) was used to design the experimental ratio.…”

Section: Experimental Designmentioning

confidence: 99%

“…Analysis of variance (ANOVA) is the most common statistical processing method for experimental results [38] and is used to determine a significant effect factor of LFPM. ANOVA can distinguish the reason for the result difference between each level of each factor (different factor level or experimental error) [4].…”

Section: Analysis Of Variancementioning

confidence: 99%

Proportion and Performance Optimization of Lightweight Foamed Phosphogypsum Material Based on an Orthogonal Experiment

et al. 2022

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A lightweight foam phosphogypsum material (LFPM) was prepared by multi-factor orthogonal and optimization experiments. The effects of foam, quicklime, silica fume and cement on the mechanical and physical properties of this LFPM were studied. The orthogonal experimental results showed that the silica fume content exhibited the most significant effect on the strength of this material, and the cement content exhibited the most obvious influence on the softening coefficient. The comprehensive index analysis indicated that the LFPM with 8% foam, 3.5% quicklime, 3% silica fume and 15% cement was selected as the optimal proportion. The 28 d compressive strength and flexural strength were 3.15 and 0.97 MPa, respectively. The dry density was 809.1 kg/m3, and the 28 d softening coefficient was 0.628. The optimization experimental results showed that the strength and dry density of the sample increased first and then decreased with an increase in the foam stabilizer content. The strength and dry density increased, and water absorption decreased with increasing waterproof agent content.

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Parameter optimization and regression analysis for multi-index of hybrid fiber-reinforced recycled coarse aggregate concrete using orthogonal experimental design

Cited by 38 publications

References 39 publications

Numerical Analysis of Microcracks of Fly Ash/Slag Concrete with Cobble as Coarse Aggregate

Numerical Analysis of Microcracks of Fly Ash/Slag Concrete with Cobble as Coarse Aggregate

Numerical simulation of roadway deformation and failure under different degrees of dynamic disturbance

Proportion and Performance Optimization of Lightweight Foamed Phosphogypsum Material Based on an Orthogonal Experiment

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