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Estimation of compressive strength of cement mortars using impulse excitation technique and a genetic algorithm

Baroud, M. M ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1680/jadcr.23.00031
  3. Publisher: ICE Publishing , 2023
  4. Abstract:
  5. Compressive strength, a crucial mechanical property of cement mortars, is typically measured destructively. However, there is a need to evaluate the strength of unique cement-based samples at various ages without causing damage. In this paper, a predictive framework using a genetic algorithm (GA) is proposed for estimating the compressive strength of ordinary cement-based mortars based on their dynamic elastic modulus, measured non-destructively using the impulse excitation technique. By combining the Popovics model (PM) and the Lydon-Balendran model (LBM), the static elastic modulus of samples was calculated using constant coefficients, representing an equivalent compressive strength. A GA was then employed to determine optimal values for these coefficients. The results showed that the LBM-based strength was dominant in the middle range of the dynamic Young's modulus while the PM-based strength was dominant for higher and lower values of the dynamic Young's modulus. The model was found to have a small root mean square error (3.1%). The findings suggest that this non-destructive model has potential for predicting the mechanical properties of cement mortars. It allows efficient evaluation of compressive strength without destructive testing, offering advantages for reliable assessments of cement-based materials. © 2023 Emerald Publishing Limited: All rights reserved
  6. Keywords:
  7. Cement paste ; Compressive strength ; Genetic algorithm ; Impulse excitation technique ; Modulus of elasticity ; Non-destructive test
  8. Source: Advances in Cement Research ; Volume 36, Issue 5 , 2023 , Pages 230-239 ; 09517197 (ISSN)
  9. URL: https://www.icevirtuallibrary.com/doi/abs/10.1680/jadcr.23.00031