Recent Advances in Predictive Modelling and Material Innovation in Concrete Creep Analysis—A Review

Authors

  • Brian E. Usibe

    Department of Physics, University of Calabar, Calabar 540004, Nigeria
  • Chinedu C. Etteh

    Department of Chemical Engineering, University of Aberdeen, Aberdeen AB24 3UE, UK
  • Nkoyo A. Nkang

    Department of Science Laboratory Technology, University of Calabar, Calabar 540004, Nigeria
  • Abel I. Ushie

    Philosophy of Science, University of Calabar, Calabar 540004, Nigeria
  • Iheoma O. Iwuanyanwu

    Department of Geography and Environmental Science, University of Calabar, Calabar 540004, Nigeria
  • Marijane B. Akan

    Department of Geography and Environmental Science, University of Calabar, Calabar 540004, Nigeria
  • Godwin O. Igomah

    Department of Physics, University of Calabar, Calabar 540004, Nigeria
  • Oruk O. Egbai

    Department of Environmental Resource Management, University of Calabar, Calabar 540004, Nigeria
  • Kelechi Anyikude

    Faculty of Science, Kingsley Ozumba Mbadiwe University, Ideato 475102, Nigeria
  • Akim O. Okang

    Department of Environmental Resource Management, University of Calabar, Calabar 540004, Nigeria
  • Moses E. Aigberemhon

    Department of Electrical/Electronic Engineering, University of Cross River State, Calabar 540281, Nigeria

DOI:

https://doi.org/10.30564/jbms.v7i4.12158
Received: 28 July 2025 | Revised: 18 September 2025 | Accepted: 17 October 2025 | Published Online: 13 November 2025

Abstract

Concrete creep, which is characterised by the gradual, time-dependent deformation under sustained loading, remains a critical factor for structural durability, safety and long-term performance. This review synthesises key advancements in creep research, tracing its evolution from early foundational experimental studies and empirical models such as Bažant’s B3 to contemporary materials innovations and emerging computational frameworks. Novel contributions and notable developments include the integration of Finite Element Analysis (FEA), Bayesian optimisation, and fractional calculus, which have significantly improved predictive accuracy under diverse and varying environmental conditions. The study characterised the pivotal role material innovation plays in this evolution and progression, with recent focus on the development of high-performance and sustainable concretes. These advanced materials include Ultra-High-Performance Concrete (UHPC), Recycled Aggregate Concrete (RAC), Ground Granulated Blast-Furnace Slag (GGBFS) modified concrete, Rice Husk Ash (RHA) composites, and nano-modified concretes, all aimed at enhancing creep resistance and sustainability. The study also examines the influence of temperature, humidity, and sustained stress on creep behaviour, highlighting the need for robust multiscale models. Emerging trends, such as artificial intelligence, mesoscopic modelling, and eco-efficient materials, are identified as transformative tools for future research and applications. By bridging historical insights with modern innovations, this work provides a strategic framework for the design of resilient, durable, and sustainable infrastructure systems in the face of evolving performance demands and environmental challenges.

Keywords:

Stress-Strain Relation; Creep Deformation; Material-Specific Creep; Advanced Materials; Predictive Creep Models; AI-based Deformation Model

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Usibe, B. E., Etteh, C. C., Nkang, N. A., Ushie, A. I., Iwuanyanwu, I. O., Akan, M. B., Igomah, G. O., Egbai, O. O., Anyikude, K., Okang, A. O., & Aigberemhon, M. E. (2025). Recent Advances in Predictive Modelling and Material Innovation in Concrete Creep Analysis—A Review. Journal of Building Material Science, 7(4), 29–53. https://doi.org/10.30564/jbms.v7i4.12158

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Vol. 7 , Iss. 4 (December 2025): In Progress

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Copyright © 2025 Brian E. Usibe, Chinedu C. Etteh, Nkoyo A. Nkang, Abel I. Ushie, Iheoma O. Iwuanyanwu, Marijane B. Akan, Godwin O. Igomah, Oruk O. Egbai, Kelechi Anyikude, Akim O. Okang, Moses E. Aigberemhon

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