A Predictive Model for the Elastic Modulus of High-Strength Concrete Based on Coarse Aggregate Characteristics

Liangshun Li , Huajian Li , Fali Huang , Zhiqiang Yang , Haoliang Dong

Journal of Wuhan University of Technology Materials Science Edition ›› 2026, Vol. 41 ›› Issue (1) : 121 -137.

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Journal of Wuhan University of Technology Materials Science Edition ›› 2026, Vol. 41 ›› Issue (1) :121 -137. DOI: 10.1007/s11595-026-3231-z
Cementitious Materials
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A Predictive Model for the Elastic Modulus of High-Strength Concrete Based on Coarse Aggregate Characteristics

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Abstract

To investigate the influence of coarse aggregate parent rock properties on the elastic modulus of concrete, the mineralogical properties and stress-strain curves of granite and dolomite parent rocks, as well as the strength and elastic modulus of mortar and concrete prepared with mechanism aggregates of the corresponding lithology, and the stress-strain curves of concrete were investigated. In this paper, a coarse aggregate and mortar matrix bonding assumption is proposed, and a prediction model for the elastic modulus of mortar is established by considering the lithology of the mechanism sand and the slurry components. An equivalent coarse aggregate elastic modulus model was established by considering factors such as coarse aggregate particle size, volume fraction, and mortar thickness between coarse aggregates. Based on the elastic modulus of the equivalent coarse aggregate and the remaining mortar, a prediction model for the elastic modulus of the two and three components of concrete in series and then in parallel was established, and the predicted values differed from the measured values within 10%. It is proposed that the coarse aggregate elastic modulus in high-strength concrete is the most critical factor affecting the elastic modulus of concrete, and as the coarse aggregate elastic modulus increases by 27.7%, the concrete elastic modulus increases by 19.5%.

Keywords

elastic modulus / prediction model / mineralogical / influence mechanism

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Liangshun Li, Huajian Li, Fali Huang, Zhiqiang Yang, Haoliang Dong. A Predictive Model for the Elastic Modulus of High-Strength Concrete Based on Coarse Aggregate Characteristics. Journal of Wuhan University of Technology Materials Science Edition, 2026, 41(1): 121-137 DOI:10.1007/s11595-026-3231-z

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References

[1]

Allain M, Ple O, Prime N, et al.. In Situ DIC Method to Determine Stress State in Reinforced Concrete Structures[J]. Measurement, 2023, 210: 112 483

[2]

Yu W, Jin L, Du X. Experimental Study on Compression Failure Characteristics of Basalt Fiber-Reinforced Lightweight Aggregate Concrete: Influences of Strain Rate and Structural Size[J]. Cem. Concr. Compos., 2023, 138: 104 985

[3]

Chu H, Gao L, Qin J, et al.. Mechanical Properties and Microstructure of Ultra-High-Performance Concrete with High Elastic Modulus[J]. Constr. Build. Mater., 2022, 335: 127 385

[4]

China Building Industry Press. Code for Design of Concrete Structures, 2015[S]. GB 50010-2010

[5]

Canadian Standard Association. Design of Concrete Structures, 2019[S]. CSA A23.3-19

[6]

Euro-international Committe for Concrete. CEB-FIP Model Code for Concrete Structures, 1990[S]

[7]

Beushausen H, Dittmer T. The Influence of Aggregate Type on the Strength and Elastic Modulus of High Strength Concrete[J]. Constr. Build. Mater., 2015, 74: 132-139

[8]

Kumar VRP, Gunasekaran K, Shyamala T. Characterization Study on Coconut Shell Concrete with Partial Replacement of Cement by GGBS [J]. Journal of Building Engineering, 2019, 26: 100 830

[9]

Liu M, Wang F. Numerical Simulation of Influence of Coarse Aggregate Crushing on Mechanical Properties of Concrete under Uniaxial Compression[J]. Constr. Build. Mater., 2022, 342: 128 081

[10]

Liang C, You J, Gu F, et al.. Enhancing the Elastic Modulus of Concrete Prepared with Recycled Coarse Aggregates of Different Quality by Chemical Modifications[J]. Constr. Build. Mater., 2022, 360: 129 590

[11]

Sorelli L, Constantinides G, Ulm FJ, et al.. The Nano-Mechanical Signature of Ultra High Performance Concrete by Statistical Nanoindentation Techniques[J]. Cem. Concr Res., 2008, 38(12): 1 447

[12]

Ouyang X, Shi C, Wu Z, et al.. Experimental Investigation and Prediction of Elastic Modulus of Ultra-High Performance Concrete (UHPC) Based on Its Composition[J]. Cem. Concr. Res., 2020, 138: 106 241

[13]

Dantu P. Etudes Des Contraintes Dans Les Milieux Heterogenes[J]. Application au beton. 1958: 46

[14]

Kaplan MF. Dynamic Modulus of Elasticity, Poisson’s Ratio and the Strength of Concrete Made from Thirteen Different Coarse Aggregates [J]. Rilem. Synpo., 1959, (1): 58

[15]

Hirsch TJ. Modulus of Elasticity of Concrete Affected by Elastic Moduli of Cement Paste Matrix and Aggregate[J]. Journal Proceedings, 1962, 59(3427-452

[16]

Counto UJ. The Effect of the Elastic Modulus of the Aggregate on the Elastic Modulus, Creep and Creep Recovery of Concrete[J]. Mag. Concr. Res., 1964, 16(48129

[17]

Hashin Z. The Elastic Moduli of Heterogeneous Materials[J]. J. Appl. Mech., 1962, 29(12 938

[18]

Zhou FP, Lydon FD, Barr BIG. Effect of Coarse Aggregate on Elastic Modulus and Compressive Strength of High Performance Concrete[J]. Cem. Concr. Res., 1995, 25(1177

[19]

Wei Y, Kong W, Wang Y, et al.. Multifunctional Application of Nano-scratch Technique to Characterize Cementitious Materials[J]. Cem. Concr. Res., 2021, 140: 106 318

[20]

Torquato S. Random Heterogeneous Media: Microstructure and Improved Bounds on Effective Properties[J]. Appl. Mech. Rev., 1991: 37–76

[21]

Zaoui A. Continuum Micromechanics: Survey[J]. J. Eng. Mech., 2002, 128(8808-816

[22]

Segura NJ, Pichler B L, Hellmich C. Concentration Tensors Preserving Elastic Symmetry of Multiphase Composites[J]. Mech. Mater., 2023, 178: 104 555

[23]

Pichler B, Hellmich C. Upscaling Quasi-Brittle Strength of Cement Paste and Mortar: A Multi-Scale Engineering Mechanics Model[J]. Cem. Concr. Res., 2011, 41(5467-476

[24]

Ghabezloo S. Association of Macroscopic Laboratory Testing and Micromechanics Modelling for the Evaluation of the Poroelastic Parameters of a Hardened Cement Paste[J]. Cem. Concr. Res., 2010, 40(81 197-1 210

[25]

Pichler B, Hellmich C, Eberhardsteiner J. Spherical and Acicular Representation of Hydrates in a Micromechanical Model for Cement Paste: Prediction of Early-Age Elasticity and Strength[J]. Acta. Mech., 2009, 203(3): 137-162

[26]

Gong F, Wang Y, Ueda T, et al.. Modeling and Mesoscale Simulation of Ice-Strengthened Mechanical Properties of Concrete at Low Temperatures[J]. J. Eng. Mech., 2017, 143(6): 04 017 022

[27]

Ouyang X, Shi CJ, Shi JH, et al.. Compressive Mechanical Properties and Prediction for Elastic Modulus of Ultra-High Performance Concrete[J]. J. Chin. Ceram. Soc., 2021, 49(02296-304

[28]

Poorsolhjouy P, Misra A. Grain-Size Effects on Mechanical Behavior and Failure of Dense Cohesive Granular Materials[J]. Kona. Powder. Part. J., 2022, 39: 193-207

[29]

Yang X, Pan M, Zheng S, et al.. Influence of Stone Dust Content on Carbonation Performance of Manufactured Sand Concrete (MSC)[J]. J. Build. Eng., 2023, 76: 107 341

[30]

Lu L, Yang Z, Lin Y, et al.. Partial Replacement of Manufactured Sand with Homologous Granite Powder in Mortar: The Effect on Porosity and Capillary Water Absorption[J]. Constr. Build. Mater., 2023, 376: 131 031

[31]

Nakayenga J, Cikmit AA, Tsuchida T, et al.. Influence of Stone Powder Content and Particle Size on the Strength of Cement-Treated Clay [J]. Constr Build. Mater., 2021, 305: 124 710

[32]

Wagner T, Kulik DA, Hingerl FF, et al.. GEM-Selektor Geochemical Modeling Package: TSolMod Library and Data Interface for Multicomponent Phase Models[J]. Can. Mineral., 2012, 50(51 173-1 195

[33]

Kulik DA, Wagner T, Dmytrieva SV, et al.. GEM-Selektor Geochemical Modeling Package: Revised Algorithm and GEMS3K Numerical Kernel for Coupled Simulation Codes[J]. Comput. Geosci., 2013, 17: 1-24

[34]

Lothenbach B, Kulik DA, Matschei T, et al.. Cemdata18: A Chemical Thermodynamic Database for Hydrated Portland Cements and Alkali-Activated Materials[J]. Cem. Concr. Res., 2019, 115: 472-506

[35]

Parrot LJ. Prediction of Cement Hydration[C]. Proceedings of the British Ceramic Society, 1984, 35: 41-53

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