Title:
Modeling Hydration Kinetics of Sustainable Cementitious Binders Using a Data Informed Nucleation and Growth Approach
Author(s):
Han
Publication:
Web Session
Volume:
ws_F23_Han.pdf
Issue:
Appears on pages(s):
Keywords:
DOI:
Date:
10/29/2023
Abstract:
Predicting the hydration kinetics of [PC +SCM] binders is challenging for current analytical models due to the extensive diversity of chemical compositions and molecular structures present in both SCMs and PC, which result in a large number of independent parameters with intricate and nonlinear composition-performance correlations. This study develops an original deep forest (DF)-phase boundary nucleation and growth (pBNG) model to yield a priori predictions of hydration kinetics—i.e., time-resolved exothermic heat release profiles—of [PC +SCM] binders. The novel DF-pBNG model predicts time-dependent hydrate growth rate profiles for new [PC + SCM] based on their mixture design, and subsequently uses this information to reproduce their heat evolution profiles. This study utilizes a database that includes calorimetry profiles of 710 [PC + SCM] binder systems, encompassing a diverse range of commonly-used SCMs such as quartz, fly ash, limestone, among others, as well as both commercial and synthetic PCs. The results show that the DFpBNG model predicts the heat evolution profiles of [PC + SCM] in high-fidelity manner. Experimental results and outcomes of the DF-pBNG model are analyzed to rigorously evaluate the influences of SCMs on calorimetry profiles and growth rate of hydrates.