Comparison of detection methods for carbonation depth of concrete. [PDF]
AbstractThis paper presents comprehensive research of the advantages and applicability of various concrete carbonation detection methods. Employing a combination of Phenolphthalein indicator (PI), Thermogravimetric analysis (TGA), X-ray phase analysis (XRD), Fourier transform infrared spectroscopy (FTIR), and Quantitative calcium carbonate analysis (CA)
Li B +17 more
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Effects of Environmental Factors on Concrete Carbonation Depth and Compressive Strength [PDF]
Ying Chen, Peng Liu
exaly +2 more sources
Physics-Informed Machine Learning for Carbonation Depth Prediction in Concrete. [PDF]
Abbas MM, Bărbulescu A.
europepmc +1 more source
Recommendation of RILEM TC 281-CCC: RILEM CPC-18R1-guideline for measuring the carbonation depth of hardened concrete using a pH indicator solution. [PDF]
Bernal SA +6 more
europepmc +1 more source
Predicting carbonation depth in fiber-reinforced ultra-high performance concrete (FR-UHPC) using state-of-the-art machine learning techniques. [PDF]
Mahmoodzadeh A +7 more
europepmc +1 more source
CFG-DWC: a hybrid correlation-driven feature engineering framework for optimized machine learning performance in carbonation depth analysis of concrete subjected to natural environments. [PDF]
Yilmaz Y, Çakmak T, Ustabaş İ.
europepmc +1 more source
Relationship Between the Carbonation Depth and Microstructure of Concrete Under Freeze-Thaw Conditions. [PDF]
Zhang S +5 more
europepmc +1 more source
Mixed-Curve Model for Evaluating the Carbonation Depth of Concrete at Different Ages. [PDF]
Wang X, Yang Q, Cao H, Qin F.
europepmc +1 more source
Author Correction: Comparison of detection methods for carbonation depth of concrete. [PDF]
Li B +17 more
europepmc +1 more source
A hybrid artificial intelligence approach for modeling the carbonation depth of sustainable concrete containing fly ash. [PDF]
Kazemi R.
europepmc +1 more source

