Machine learning of concrete temperature development for quality control of field curing
H Xie, W Shi, RRA Issa, X Guo, Y Shi… - Journal of Computing in …, 2020 - ascelibrary.org
Understanding the relationship between concrete temperature development and field curing
time helps to control material quality, improve construction efficiency, and enhance research …
time helps to control material quality, improve construction efficiency, and enhance research …
Machine learning in concrete technology: A review of current researches, trends, and applications
Y Gamil - Frontiers in Built Environment, 2023 - frontiersin.org
Machine learning techniques have been used in different fields of concrete technology to
characterize the materials based on image processing techniques, develop the concrete mix …
characterize the materials based on image processing techniques, develop the concrete mix …
An ANN-based short-term temperature forecast model for mass concrete cooling control
Concrete temperature control during dam construction (eg, concrete placement and curing)
is important for cracking prevention. In this study, a short-term temperature forecast model for …
is important for cracking prevention. In this study, a short-term temperature forecast model for …
Curing management of early-age concrete at construction site using integrated wireless sensors
The quality requirements of concrete have become more stringent in recent times; therefore,
the quality control of earlyage concrete has become an extremely important task at …
the quality control of earlyage concrete has become an extremely important task at …
The prediction of concrete temperature during curing using regression and artificial neural network
Z Najafi, K Ahangari - Journal of engineering, 2013 - Wiley Online Library
Cement hydration plays a vital role in the temperature development of early‐age concrete
due to the heat generation. Concrete temperature affects the workability, and its …
due to the heat generation. Concrete temperature affects the workability, and its …
Estimation of concrete strength using thermography integrated with deep-learning-based image segmentation: Case studies and economic analysis
This study proposes a novel method that combines infrared thermography and deep-
learning-based image segmentation for automated estimation of concrete strength at …
learning-based image segmentation for automated estimation of concrete strength at …
Revealing the nature of concrete materials using soft computing models
The durability of materials has long been a topic undergoing intense study in civil
engineering. This paper used a novel approach to foster current research in two aspects …
engineering. This paper used a novel approach to foster current research in two aspects …
Thermal distribution in cement-treated base: Effect of curing methods and temperature estimation using Artificial Neural Networks
Due to the effect of curing temperature and heat absorption on the performance of cement-
treated bases (CTB), thermal shrinkage cracks can happen in CTB during the early-age …
treated bases (CTB), thermal shrinkage cracks can happen in CTB during the early-age …
Deep learning approaches for prediction of adiabatic temperature rise of concrete with complex mixture constituents
Temperature control and crack prevention of mass concrete are significant to the safety and
durability of structures such as dams and long-span bridges. Adiabatic temperature rise is …
durability of structures such as dams and long-span bridges. Adiabatic temperature rise is …
A simplified method for real-time prediction of temperature in mass concrete at early age
G An, N Yang, Q Li, Y Hu, H Yang - Applied Sciences, 2020 - mdpi.com
Featured Application An early warning system for maximum concrete temperature control
was established based on the temperature forecasting method in this paper and the real …
was established based on the temperature forecasting method in this paper and the real …