Machine learning in concrete science: applications, challenges, and best practices

Z Li, J Yoon, R Zhang, F Rajabipour… - npj computational …, 2022 - nature.com
Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …

Hydration properties and kinetic characteristics of blended cement containing lithium slag powder

M Zhai, J Zhao, D Wang, Y Wang, Q Wang - Journal of Building …, 2021 - Elsevier
Lithium slag (LS) powder is a potential supplementary cementitious material due to its large
content of active aluminosilicate minerals. To clarify the properties of LS powder as a …

Effect of fly ash on the kinetics of Portland cement hydration at different curing temperatures

M Narmluk, T Nawa - Cement and concrete research, 2011 - Elsevier
This paper describes the effect of fly ash on the hydration kinetics of cement in low water to
binder (w/b) fly ash-cement at different curing temperatures. The modified shrinking-core …

Artificial neural network for predicting drying shrinkage of concrete

L Bal, F Buyle-Bodin - Construction and Building Materials, 2013 - Elsevier
Concrete is the most used construction material for a century. After casting and setting,
concrete shows various dimensional physical and mechanical evolutions, of which drying. It …

A microstructural hydration model for cemented paste backfill considering internal sulfate attacks

L Liu, C Zhu, C Qi, B Zhang, KIIL Song - Construction and Building …, 2019 - Elsevier
Cemented paste backfill (CPB) is a type of cementitious material produced with tailings,
cement, and water. Typically, CPB has a high proportion of tailings (75–80 wt%), which may …

Heat of hydration of Portland Cement–Metakaolin–Fly ash (PC–MK–PFA) blends

DG Snelson, S Wild, M O'Farrell - Cement and Concrete Research, 2008 - Elsevier
In the present study two pozzolanic materials are used, Metakaolin (MK) and Fly Ash (PFA),
as binary and ternary partial replacement binders with Portland cement (PC) to investigate …

Analysis of carbonation behavior in concrete using neural network algorithm and carbonation modeling

SJ Kwon, HW Song - Cement and Concrete Research, 2010 - Elsevier
Carbonation on concrete structures in underground sites or metropolitan cities is one of the
major causes of steel corrosion in RC (Reinforced Concrete) structures. For quantitative …

Application of new information technology on concrete: an overview

B Boukhatem, S Kenai, A Tagnit-Hamou… - Journal of Civil …, 2011 - Taylor & Francis
The development of information technology provides means for quick access to a wide
variety of information and methods of modelling complex systems. Simulation models …

Evaluation of chloride penetration in high performance concrete using neural network algorithm and micro pore structure

HW Song, SJ Kwon - Cement and Concrete Research, 2009 - Elsevier
Chloride attack is one of the major causes of deterioration of reinforced concrete structures.
In order to evaluate the chloride behavior in concrete, a reasonable prediction for the …

Autogenous shrinkage reduction and strength improvement of ultra-high-strength concrete using belite-rich Portland cement

MY Xuan, XY Wang - Journal of Building Engineering, 2022 - Elsevier
Autogenous shrinkage is a non-trivial problem affecting the use of ultra-high-strength
concrete (UHSC). Hydration is an important cause of autogenous shrinkage. This study …