Skip to main content
Have a personal or library account? Click to login
Beyond Surface Modulus: Shape-Aware Crack-Index Assessment of Mass Concrete Foundations Under Early-Age Thermal Stress Cover

Beyond Surface Modulus: Shape-Aware Crack-Index Assessment of Mass Concrete Foundations Under Early-Age Thermal Stress

Open Access
|Aug 2026

Abstract

Early-age thermal cracking is a major serviceability and durability concern in mass-concrete foundations, especially under hot-weather construction conditions. Although surface modulus is widely used as a massivity descriptor, its ability to predict stress-based cracking risk across different member geometries remains unclear. This study presents a coupled MIDAS Civil three-dimensional hydration-heat and thermal-stress workflow with Python-based post-processing to evaluate the peak core temperature Tmax,core, the maximum core-to-surface temperature differential ΔTcs,max, and the thermal crack index Icr,min for eight representative foundation geometries. For the 3 × 3 × 3 m reference block, the workflow predicts Tmax,core = 65.2 °C, ΔTcs,max = 26.2 °C, and Icr,min = 1.79 (limit-cracking band). Surface modulus alone is an unreliable predictor across mixed geometries, with R2 ≤ 0.23 for all three responses. Response-specific models improve accuracy substantially: Tmax,core follows a dmin-quadratic relation (R2 = 0.94), ΔTcs,max a combined M–dmin model (R2 = 0.87), and Icr,min an inverse thermal-differential relation (R2 = 0.95). Surface modulus remains suitable for preliminary massivity screening of cubic foundations, but non-cubic geometries require explicit shape-aware three-dimensional assessment for design-level crack control. Among controllable inputs, placement temperature and cement content dominate thermal risk, a 20 °C rise in placement temperature increases Tmax,core by 19.1 °C, while the convection coefficient and foundation geometry govern ΔTcs,max and Icr,min; all relationships are condition-specific screening tools requiring recalibration beyond the stated parametric range.

DOI: https://doi.org/10.2478/cee-2027-0013 | Journal eISSN: 2199-6512 (formerly 1336-5835) | Journal ISSN: 1336-5835
Language: English
Submitted on: May 25, 2026
Accepted on: Jun 19, 2026
Published on: Aug 18, 2026
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Tien-Toi Pham, Ngoc-Tuyen Tran, Chi-Cong Vu, Hong-Hai Tran, Hong-Ha Le, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.