What does this research mean for the field?

A multiphase and multiscale computational framework integrating nanoscale, microscale, and mesoscale interactions accurately predicts the elastic modulus of recycled aggregate concrete, revealing that aggregate volume fraction and elastic stiffness primarily govern the macroscale elastic response. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Develop a multiscale, multiphase computational framework to accurately predict the elastic modulus of recycled aggregate concrete by accounting for residual mortar, cement hydration products, and differences in Poisson's ratio.

September 8, 2026Materials and StructuresOpen Access

Elastic modulus of recycled aggregate concrete: a multiscale-multiphase modeling approach

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Authors

ODOsamah H.A. Dehwah SWStephanie S. Watson

Discussion

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Overview

Computational modeling study demonstrates accurate prediction of elastic modulus in recycled aggregate concrete, highlighting the primary role of aggregate volume fraction and stiffness.

Key Points

Develop a multiscale, multiphase computational framework to accurately predict the elastic modulus of recycled aggregate concrete by accounting for residual mortar, cement hydration products, and differences in Poisson's ratio.
Integrated nanoscale, microscale, and mesoscale mechanical interactions using Mori–Tanaka and Generalized Self-Consistent homogenization schemes.
Modeled cement paste and clinker hydration phases while evaluating Poisson's ratio differences between natural and recycled aggregates.
Validated predictions against experimental benchmarks across two stages and conducted a parametric sensitivity study on macroscale elastic response.
The multiscale framework predicted the elastic modulus of recycled aggregate concrete with validation errors consistently below 10% relative to experimental results.
Parametric analysis indicated that macroscale elastic stiffness is governed primarily by aggregate volume fraction and aggregate elastic stiffness, while the influence of Poisson's ratio is comparatively minor.

Cite This Study

Dehwah et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd75858e84d0ff5b45dad https://doi.org/10.1617/s11527-026-03261-8

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September 8, 2026Materials and StructuresOpen Access

Elastic modulus of recycled aggregate concrete: a multiscale-multiphase modeling approach

View Full Paper

Ask AI

Bookmark

Authors

ODOsamah H.A. Dehwah SWStephanie S. Watson

Discussion

Member takes

Overview

Computational modeling study demonstrates accurate prediction of elastic modulus in recycled aggregate concrete, highlighting the primary role of aggregate volume fraction and stiffness.

Key Points

Develop a multiscale, multiphase computational framework to accurately predict the elastic modulus of recycled aggregate concrete by accounting for residual mortar, cement hydration products, and differences in Poisson's ratio.
Integrated nanoscale, microscale, and mesoscale mechanical interactions using Mori–Tanaka and Generalized Self-Consistent homogenization schemes.
Modeled cement paste and clinker hydration phases while evaluating Poisson's ratio differences between natural and recycled aggregates.
Validated predictions against experimental benchmarks across two stages and conducted a parametric sensitivity study on macroscale elastic response.
The multiscale framework predicted the elastic modulus of recycled aggregate concrete with validation errors consistently below 10% relative to experimental results.
Parametric analysis indicated that macroscale elastic stiffness is governed primarily by aggregate volume fraction and aggregate elastic stiffness, while the influence of Poisson's ratio is comparatively minor.

Cite This Study

Dehwah et al. (2026) studied this question.

synapsesocial.com/papers/6a9fd75858e84d0ff5b45dad https://doi.org/10.1617/s11527-026-03261-8

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