Overview of the application of quantitative backscattered electron (QBSE) image analysis to characterize the cement-based materials
To gain a better understanding of microstructure evolution in cement-based materials, it
becomes imperative to characterize their phase proportions and spatial distributions …
becomes imperative to characterize their phase proportions and spatial distributions …
[HTML][HTML] Recognition of rock materials after high-temperature deterioration based on SEM images via deep learning
Accurately identifying the high-temperature history experienced by rocks is essential for
understanding their behaviour and predicting properties. However, current approaches are …
understanding their behaviour and predicting properties. However, current approaches are …
The study of effect of carbon nanotubes on the compressive strength of cement-based materials based on machine learning
Y Li, H Li, J Shen - Construction and Building Materials, 2022 - Elsevier
There are many factors that affect the compressive strength of carbon nanotubes/cementious
composites. However, there is a lack of comprehensive research on the effect of various …
composites. However, there is a lack of comprehensive research on the effect of various …
Interpretable machine learning model for autogenous shrinkage prediction of low-carbon cementitious materials
B Hilloulin, VQ Tran - Construction and Building Materials, 2023 - Elsevier
Supplementary cementitious materials (SCM) are key components of low-carbon
cementitious materials. However, their effects, especially for the emerging high cement …
cementitious materials. However, their effects, especially for the emerging high cement …
[HTML][HTML] Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete
Extrusion-based 3D concrete printing (3DCP) results in deposited materials with complex
microstructures that have high porosity and distinct anisotropy. Due to the material …
microstructures that have high porosity and distinct anisotropy. Due to the material …
[HTML][HTML] Lattice modelling of early-age creep of 3D printed segments with the consideration of stress history
We propose a new numerical method to analyze the early-age creep of 3D printed segments
with the consideration of stress history. The integral creep strain evaluation formula is first …
with the consideration of stress history. The integral creep strain evaluation formula is first …
[HTML][HTML] Can superabsorbent polymers be used as rheology modifiers for cementitious materials in the context of 3D concrete printing?
Autogenous shrinkage may be a critical issue concerning the use of limestone-calcined clay-
cement (LC3) in high-performance concrete and 3D printable cementitious materials, which …
cement (LC3) in high-performance concrete and 3D printable cementitious materials, which …
Predicting early‐age stress evolution in restrained concrete by thermo‐chemo‐mechanical model and active ensemble learning
Early‐age stress (EAS) is an important index for evaluating the early‐age cracking risk of
concrete. This paper encompasses a thermo‐chemo‐mechanical (TCM) model and active …
concrete. This paper encompasses a thermo‐chemo‐mechanical (TCM) model and active …
Review of modeling schemes and machine learning algorithms for fluid rheological behavior analysis
Abstract Machine learning's prowess in extracting insights from data has significantly
advanced fluid rheological behavior prediction. This machine-learning-based approach …
advanced fluid rheological behavior prediction. This machine-learning-based approach …
[HTML][HTML] Predicting micromechanical properties of cement paste from backscattered electron (BSE) images by computer vision
This paper employs computer vision techniques to predict the micromechanical properties
(ie, elastic modulus and hardness) of cement paste based on an input of Backscattered …
(ie, elastic modulus and hardness) of cement paste based on an input of Backscattered …