Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset
Abstract
This study evaluates the prediction of 28-day compressive strength from routine cement characterization across independent producers. Industrial records from 23 European producers cover nearly three decades of testing in a single laboratory, encompassing 476 samples. The archive includes CEM I, CEM II, CEM III, and other blended cements, with the main analysis focused on CEM I. Chemistry and fineness descriptors were evaluated using linear and nonlinear models. Strength class and water demand were also examined as performance labels from standardized testing. Mean absolute errors in 28-day strength prediction were approximately 3 MPa, with linear models performing comparably to nonlinear models. Producer holdout tests assessed transfer to cements from producers excluded from training and yielded absolute errors of the same order. Equivalent alkali showed a consistent negative association with 28-day strength, with K2O carrying most of this signal. Together, these results highlight the value of industrial data collected under common laboratory conditions for interpretable 28-day strength prediction, with potential to inform cement design targeting lower production costs and CO2 emissions.
Related
- Design, Modeling, and Characterization of High-Performance 1550-nm InGaAsP/InP Spot-Size Converter Integrated Waveguide Photodiode
- Setup and performance of focal-plane characterization benches for high precision astrometry
- Development, Configuration and Performance Characterization of a Scalable BETA ASIC-Based Readout System for Multi-Channel SiPM Detectors
- Enhanced performance of organic light photodetectors based on poly (vinyl alcohol) supported with fluorescein dye and graphene nanosheets: fabrication, characterization, and thermometric measurements
- Fully automated diaphragm segmentation on routine 2D-cine and 3D thoracic MRI: multireader validation
BibTeX
@misc{ghorayeb2026inference,
title = {{Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset}},
author = {Marchellino Ghorayeb and Christiane Rößler and Horst-Michael Ludwig and Leon Herrmann and Stefan Kollmannsberger},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2607.22512},
eprint = {2607.22512},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2607.22512},
}
RIS
TY - UNPB
TI - Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset
AU - Marchellino Ghorayeb
AU - Christiane Rößler
AU - Horst-Michael Ludwig
AU - Leon Herrmann
AU - Stefan Kollmannsberger
PY - 2026
DA - 2026/11/05
PB - arXiv
DO - 10.48550/arxiv.2607.22512
UR - https://arxiv.org/abs/2607.22512
AB - This study evaluates the prediction of 28-day compressive strength from routine cement characterization across independent producers. Industrial records from 23 European producers cover nearly three decades of testing in a single laboratory, encompassing 476 samples. The archive includes CEM I, CEM II, CEM III, and other blended cements, with the main analysis focused on CEM I. Chemistry and fineness descriptors were evaluated using linear and nonlinear models. Strength class and water demand were also examined as performance labels from standardized testing. Mean absolute errors in 28-day strength prediction were approximately 3 MPa, with linear models performing comparably to nonlinear models. Producer holdout tests assessed transfer to cements from producers excluded from training and yielded absolute errors of the same order. Equivalent alkali showed a consistent negative association with 28-day strength, with K_2O carrying most of this signal. Together, these results highlight the value of industrial data collected under common laboratory conditions for interpretable 28-day strength prediction, with potential to inform cement design targeting lower production costs and CO_2 emissions.
ER -