Microstructure and mechanical properties of interlayer regions in extrusion-based 3D printed concrete: A critical review

T Ding, J Xiao, V Mechtcherine - Cement and Concrete Composites, 2023 - Elsevier
Abstract 3D printed concrete structures often exhibit considerable degree of anisotropy and
inhomogeneity because of layered material deposition and inferior properties of the …

A review of autogenous shrinkage models of concrete

S Tang, D Huang, Z He - Journal of Building Engineering, 2021 - Elsevier
For concrete with low water-to-binder ratio, the autogenous shrinkage often takes up most of
the total shrinkage. In restrained structures, this kind of shrinkage will produce tensile stress …

An extensive review of the repair behavior of smart self-healing polymer matrix composites

A Ghorbanpour Arani, N Miralaei, A Farazin… - Journal of Materials …, 2023 - Springer
Self-healing material is a material that repairs microcracks spontaneously without any
external interference. Based on self-healing methods, there are two main categories for …

[HTML][HTML] Effects of amorphous silica on mechanical contribution of coarse aggregates in UHPC: From micromechanics to mesoscale fracture and macroscopic strength

S Li, Y Chen, HJH Brouwers, Q Yu - Cement and Concrete Composites, 2023 - Elsevier
Despite the enhancement of amorphous silica on Ultra-High Performance Concrete (UHPC),
the influence of amorphous silicas on the mechanical contribution of coarse aggregates …

Prediction of alkali-silica reaction expansion of concrete using artificial neural networks

L Yang, B Lai, R Xu, X Hu, H Su, G Cusatis… - Cement and Concrete …, 2023 - Elsevier
This paper presents a hybrid machine learning method for the prediction of concrete
expansion induced by alkali-silica reaction (ASR) and assembles a comprehensive and …

[HTML][HTML] Cementitious phase quantification using deep learning

S Sheiati, H Nguyen, P Kinnunen, N Ranjbar - Cement and Concrete …, 2023 - Elsevier
This study investigates deep learning-based backscattered electron (BSE) image
segmentation as a novel approach to automatise phase quantification of cementitious …

A machine learning framework for intelligent development of Ultra-High performance concrete (UHPC): From dataset cleaning to performance predicting

L Xu, D Fan, K Liu, W Xu, R Yu - Expert Systems with Applications, 2024 - Elsevier
This study proposes a new machine learning (ML) framework, which mainly includes dataset
cleaning processing as well as performance predicting, for property prediction of ultra-high …

Investigation of the corrosion-induced damage mechanism of steel fibers in ultra-high-performance steel fiber-reinforced concrete using X-ray computed tomography

J Han, Z Miao, J Wang, X Zhang, Y Lv - Construction and Building Materials, 2023 - Elsevier
To investigate the corrosion damage mechanism of ultra-high-performance steel fiber-
reinforced concrete (UHPSFRC), the electrically accelerated corrosion process of …

Effect of autogenous shrinkage on microcracking and mass transport properties of concrete containing supplementary cementitious materials

MHN Yio, MJ Mac, YX Yeow, HS Wong… - Cement and Concrete …, 2021 - Elsevier
It is well-known that supplementary cementitious materials (SCMs) and low water-to-binder
(w/b) ratio increase autogenous shrinkage, but the impact on microcracking and long-term …

Quantification of the reaction degree of fly ash in blended cement systems

S Du, Q Zhao, X Shi - Cement and Concrete Research, 2023 - Elsevier
Fly ash (FA) usually has an insufficient reaction degree in cement-based materials, and the
quantification of its reaction degree is essential for understanding its pozzolanic hydration …