Application of statistical models in proportioning lightweight self-consolidating concrete with expanded clay aggregates

Lotfy, Abdurrahmaan; Hossain, Khandaker M. Anwar; Lachemi, Mohamed

doi:10.1016/j.conbuildmat.2014.05.027

Cited by 37 publications

(19 citation statements)

References 19 publications

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“…Workability is very important for SCLC [35]. Slump flow test and V-funnel test are usually performed to determine the fluidity of SCLC, and L-box test and J-ring test can be used to evaluate the ability of passing through steel bars [31][32][33][34][35][36][37][38][39][40]. Moreover, sieve segregation and settlement column tests are conducted to evaluate the segregation resistance of SCLC [36].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, self-compacting lightweight concrete (SCLC) has been gradually applied in practical engineering particularly in large-span bridge structures due to the light self-weight, ease of construction, lower on-site noise level, etc. Coarse aggregates used in SCLC often include expanded shale [31], expanded clay ceramsite [32], pumice [33], expanded polystyrene [34], etc. All the coarse aggregates are so light that they may float in the cement paste.…”

Section: Introductionmentioning

confidence: 99%

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Properties of self-compacting lightweight concrete containing recycled plastic particles

Yang

Yue

Liu³

et al. 2015

Construction and Building Materials

197

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Properties of self-compacting lightweight concrete containing recycled plastic particles

Yang

Yue

Liu³

et al. 2015

Construction and Building Materials

197

View full text Add to dashboard Cite

“…For a parameter to have a significant influence on a response the F-value has to be large and the probability associated with it, the p-value, has to be smaller than 0.05. Lotfy et al (2014) describes the p-value as a descriptor of the significance of the parameter on the test results. Similarly, the percentage contribution is a measure of the effect of the independent variables on the response.…”

Section: Response Surface Methodologymentioning

confidence: 99%

“…RSM usually consists of three phases, where phase one focuses on the experimental study, phase two develops the response surface models and phase three uses the statistical models for optimisation (Lotfy et al 2014).…”

Section: Response Surface Methodologymentioning

confidence: 99%

Effect of paste content on the properties of high-strength concrete pavements

Smit¹,

Kearsley

2015

J. S. Afr. Inst. Civ. Eng.

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Ultra-thin continuously reinforced concrete pavement (UTCRCP) is an innovative pavement type that has the potential to fulfil South Africa's pavement repair strategy requirements. Premature failure in UTCRCP is linked to the formation of cracks that allow water ingress into supporting layers. Environmental conditions, as well as concrete properties, determine the concrete cracking tendency. Concrete properties are a function of the mixture proportions, and unlike environmental conditions, mixture proportions are controllable. The effect of mixture proportions on the properties of high-strength concrete (HSC) used in UTCRCP should be investigated. The objective of this research was to study the influence of paste content on the properties of HSC used in UTCRCP. Two sets of concrete were tested. The paste content of the first set was varied from 23% to 37% by mass, using multivariable analysis in conjunction with superplasticiser (SP) dosage. The paste content of the second set was varied from 25% to 60% by mass, only varying SP dosage to control the workability. The multivariable analysis revealed that, within the parameter range tested, paste content influenced early-age properties, but not long-term properties. Through variation of the paste content over a wider range during the second set it was found that paste content does influence both the early-age and long-term properties of HSC. From the results it could be seen that increasing the paste content of HSC generally has a detrimental effect. The paste content of HSC used in UTCRCP should be minimised, while maintaining a reasonable workability.

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“…The proportioning of SCC often involves the adjustment of several mixture parameters to achieve a compromise between the properties in its fresh and hardened states [ 15 ]. While certain design methods and mathematical approaches for SCC have been published [ 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ], a lack of adequate research studies warrants investigation of SCC designated for prestressed applications.…”

Section: Introductionmentioning

confidence: 99%

Factorial Design Approach in Proportioning Prestressed Self-Compacting Concrete

et al. 2015

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In order to model the effect of mixture parameters and material properties on the hardened properties of, prestressed self-compacting concrete (SCC), and also to investigate the extensions of the statistical models, a factorial design was employed to identify the relative significance of these primary parameters and their interactions in terms of the mechanical and visco-elastic properties of SCC. In addition to the 16 fractional factorial mixtures evaluated in the modeled region of −1 to +1, eight axial mixtures were prepared at extreme values of −2 and +2 with the other variables maintained at the central points. Four replicate central mixtures were also evaluated. The effects of five mixture parameters, including binder type, binder content, dosage of viscosity-modifying admixture (VMA), water-cementitious material ratio (w/cm), and sand-to-total aggregate ratio (S/A) on compressive strength, modulus of elasticity, as well as autogenous and drying shrinkage are discussed. The applications of the models to better understand trade-offs between mixture parameters and carry out comparisons among various responses are also highlighted. A logical design approach would be to use the existing model to predict the optimal design, and then run selected tests to quantify the influence of the new binder on the model.

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Application of statistical models in proportioning lightweight self-consolidating concrete with expanded clay aggregates

Cited by 37 publications

References 19 publications

Properties of self-compacting lightweight concrete containing recycled plastic particles

Properties of self-compacting lightweight concrete containing recycled plastic particles

Effect of paste content on the properties of high-strength concrete pavements

Factorial Design Approach in Proportioning Prestressed Self-Compacting Concrete

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