Multi-objective optimization of gap-graded cement paste blended with supplementary cementitious materials using response surface methodology

Li, Zhiping; Lü, Dagang; Gao, Xiaojian

doi:10.1016/j.conbuildmat.2020.118552

Cited by 41 publications

(15 citation statements)

References 37 publications

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“…Based on the Design-Expert software, the test results of the response surface method were nonlinearly fitted [ 37 ]. The compressive strength quadratic polynomial regression equation was established for the model at 28 days.…”

Section: Resultsmentioning

confidence: 99%

Preparation and Hydration Mechanisms of Low Carbon Ferrochrome Slag-Granulated Blast Furnace Slag Composite Cementitious Materials

Ren

Wang

et al. 2023

Materials

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Low carbon ferrochrome slag (LCFS) is the metallurgical waste slag from the carbon ferrochrome alloy smelting process. Compared with high carbon ferrochrome slag, LCFS has great potential as cementitious material; the chemical compositions of the two types of slag are quite different. In this research, composite cementitious materials are prepared which use low carbon ferrochrome slag and granulated blast furnace slag (GBFS) as the main raw material. Steel slag mud (SSM) and flue gas desulfurization gypsum (FGDG) are used as the activator. In order to find the variety rule of compressive strength on the composite cementitious materials, a three-factor three-level Box-Behnken design is used to discuss the following independent variables: LCFS content, GBFS content, and water-binder ratio. Moreover, the hydration characteristics of the LCFS-GBFS composite cementitious materials is studied in this paper in terms of hydration product, micromorphology, and hydration degree, based on multi-technical microstructural characterizations. The results show that the compressive strength of the LCFS-GBFS composite cementitious materials is significantly affected by single factors and the interaction of two factors. The mechanical property of the mortar samples at 3, 7, and 28 days are 26.6, 35.3, and 42.7 MPa, respectively, when the LCFS-GBFS-SSM-FGDG ratio is 3:5:1:1 and the water-binder ratio is 0.3. The hydration products of LCFS-GBFS composite cementitious materials are mainly amorphous gels (C-S-H gel), ettringite, and Ca(OH)2. With the increase of LCFS content, more hydration products are generated, and the microstructure of the cementitious system becomes more compact, which contributes to the compressive strength. The results of this research can provide a preliminary theoretical foundation for the development of LCFS-GBFS composite cementitious materials and promote the feasibility of its application in the construction industry. Deep hydration mechanism analysis and engineering applications should be studied in the future.

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Section: Resultsmentioning

confidence: 99%

Preparation and Hydration Mechanisms of Low Carbon Ferrochrome Slag-Granulated Blast Furnace Slag Composite Cementitious Materials

Ren

Wang

et al. 2023

Materials

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“…A threelevel three-factor Box-Behnken Design (BBD) with RSM was adopted. The second-order polynomial equation is established as follows: [14] F I G U R E 1 The fabrication process of the composite laminates.…”

Section: Box-behnken Design Of Experimentsmentioning

confidence: 99%

“…[12] Heidari et al [13] minimized the warpage and shrinkage of three polylactic acid (PLA) based bone screws using an RSM technique. Li et al [14] used RSM with the Box-Behnken design (BBD) for multi-objective optimization of gap-graded cement paste blended with supplementary cementitious materials. Shankar et al [15] demonstrated that RSM is an excellent method that can either maximize or minimize the product quality.…”

Section: Introductionmentioning

confidence: 99%

Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm

Zhang

2022

Polymer Composites

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The main objective of this work was to estimate the usefulness of response surface methodology (RSM) and genetic algorithm (GA) in modeling and predicting the strength of jute/poly(lactic acid) (PLA) composite laminates. Firstly, the impact of the hot water treatment on the thermal, molecular structure, and morphological characterizations as well as kinetic analysis of jute fibers were performed by Thermogravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM). The FTIR results showed that the hot water treatments reduced the content of lignin, hemicellulose, and impurities of the fibers. Hot water treated fibers exhibited higher thermal stabilities compared with untreated fibers as shown with TGA results. The SEM results showed effect contact surface area improved after the hot water treatment, leading to better mechanical properties of bio‐composites. Secondly, the influences of the ply orientation, plies and fiber content on the tensile strength and flexural strength of the hot water treated fibers composites were evaluated by RSM. RSM with the Box Behnken Design was utilized to establish the quadratic models of two objectives in response to input parameters. Analysis of variance (ANOVA) was used to determine percentage contribution of various parameters on two quality objectives. According to the ANOVA results, ply orientation had the most important impact on tensile strength while the ply orientation‐fiber content interaction had the most important impact on flexural strength. Finally, multi‐objective optimization was carried out to maximize tensile strength and flexural strength using the desirability function and GA. The optimized results both showed an acceptable relative error between experimental and optimized values.

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“…In recent years, the polynomial regression and RSM has been gradually widely applied to concrete-like materials for the optimal design of mixtures. [29][30][31] Generally, second order model applied in RSM is a very flexible model to describe experimental data 32 as given in Equation ( 6).…”

Section: The Fiber Hybrid Effect On Compressive Properties Of Rcc 41 ...mentioning

confidence: 99%

“…Response surface methodology (RSM) is usually used to explore the optimal set of inputs that maximize the response of the output. In recent years, the polynomial regression and RSM has been gradually widely applied to concrete‐like materials for the optimal design of mixtures 29‐31 . Generally, second order model applied in RSM is a very flexible model to describe experimental data 32 as given in Equation ().

y = β_{0} + \sum_{i = 1}^{k} β_{i} x_{i} + \sum_{i = 1}^{k - 1} \sum_{j = i + 1}^{k} β_{ij} x_{i} x_{j} + \sum_{i = 1}^{k} β_{ii} x_{i}^{2}

where, y is the response variable, x i and x j are independent variables, and β 0 , β i , β ii , and β ij are coefficients of intercept, linear, quadratic and interaction terms, respectively.…”

Section: The Fiber Hybrid Effect On Compressive Properties Of Rccmentioning

confidence: 99%

Effect of multi‐scale polypropylene fiber hybridization on compressive constitutive mechanics parameters of roller compacted concrete

Liang

Yan

Miao

et al. 2021

Structural Concrete

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To investigate the influence of hybrid effect of different sizes of polypropylene fibers (PPFs) on the compressive constitutive mechanical parameters of roller compacted concrete, nine groups of fiber reinforced concrete specimens containing different sizes of PPFs were designed and the uniaxial compressive testing was conducted. Based on the existing compressive constitutive model and the test stress–strain curves, the peak stress, peak strain, elastic modulus, and the post‐peak stage parameter with different fiber proportion were analyzed and discussed to find the optimum mixing proportion of different sizes of PPF, the calculation of compressive toughness factor were given. The results showed that the addition of PPF could improve the compressive properties of RCC. The axial compressive strength and compressive strain of RCC increased by 3%~16% and 7%~57%, respectively. Meanwhile, the coarse PPF can significantly enhance the ductility of RCC when subjected to uniaxial compressive loading, and the group of multi‐scale PPF hybridization had higher compressive toughness than groups blended with two types of PPF, showing a more obvious positive hybrid effect. Finally, multi‐scale fiber hybrid effect function was proposed, the results showed that the function can well reflect the influence of fiber hybrid effect on the compressive properties of RCC and can be used to predict the optimal fiber proportion of fiber reinforced concrete.

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Multi-objective optimization of gap-graded cement paste blended with supplementary cementitious materials using response surface methodology

Cited by 41 publications

References 37 publications

Preparation and Hydration Mechanisms of Low Carbon Ferrochrome Slag-Granulated Blast Furnace Slag Composite Cementitious Materials

Preparation and Hydration Mechanisms of Low Carbon Ferrochrome Slag-Granulated Blast Furnace Slag Composite Cementitious Materials

Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm

Effect of multi‐scale polypropylene fiber hybridization on compressive constitutive mechanics parameters of roller compacted concrete

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