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On applying fib Model Code's maturity function for strength prediction of self-compacting concrete containing supplementary cementitious materials

Almutlaqah, Ayman, Alshahrani, Abdullah, Maddalena, Riccardo ORCID: https://orcid.org/0000-0001-6251-3782 and Kulasegaram, Sivakumar ORCID: https://orcid.org/0000-0002-9841-1339 2026. On applying fib Model Code's maturity function for strength prediction of self-compacting concrete containing supplementary cementitious materials. Journal of Building Engineering 120 , 115478. 10.1016/j.jobe.2026.115478

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Abstract

The fib Model Code was originally developed to estimate the early-age compressive strength of concrete based on its 28-day strength. It has recently been adopted to serve as a maturity function for predicting the strength of concrete containing supplementary cementitious materials (SCMs) at various curing temperatures, referred to as the fib Model Code's maturity function. However, while previous studies have used different maturity functions to calculate apparent activation energy, the fib Model Code specifies only a single fixed value (33.3 kJ/mol) for all materials. This limitation underscores the need for guidance on calculating apparent activation energy within the fib Model Code framework. This study proposes two new approaches for determining apparent activation energy using the fib Model Code. In the first approach, the s parameter in the fib Model Code, originally based on cement type and strength class is extended to account for curing temperature effects on concrete strength, enabling the calculation of apparent activation energy. In the second approach, the apparent activation energy is expressed as a function of both curing temperature and concrete age. These methods enhance the robustness and applicability of the fib Model Code maturity function across a wider range of concrete mixes. The feasibility and accuracy of the proposed methods were validated experimentally using high-strength self-compacting concrete (SCC) mixes with various SCMs, as well as utilising published data.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Schools > Engineering
Publisher: Elsevier BV
ISSN: 2352-7102
Date of First Compliant Deposit: 16 February 2026
Date of Acceptance: 29 January 2026
Last Modified: 23 Feb 2026 14:43
URI: https://orca.cardiff.ac.uk/id/eprint/184874

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