Machine learning and interactive GUI for concrete compressive strength prediction

MK Elshaarawy, MM Alsaadawi, AK Hamed - Scientific Reports, 2024 - nature.com
Concrete compressive strength (CS) is a crucial performance parameter in concrete
structure design. Reliable strength prediction reduces costs and time in design and prevents …

Mechanical and durability properties of concrete incorporating weathered coarse Linz-Donawitz (LD) steel slag

P Singh, ABD Roy, H Singh - Journal Of Building Engineering, 2022 - Elsevier
Concrete usage in recent decades has skyrocketed, which has led to immense pressure on
the natural resources such as sand and aggregates involved in its production. The circular …

Chloride ion diffusion and distribution characteristics in recycled coarse aggregate concrete under uniaxial and biaxial pressure

J Ying, Z Xie, B Chen, J Xiao, C Pan - Journal of Building Engineering, 2023 - Elsevier
Under uniaxial compression, recycled coarse aggregate leads to complex internal stresses
(simultaneous uniaxial, biaxial, and multiaxial tensile and compressive stresses at the micro …

Prediction of properties of recycled aggregate concrete using machine learning models: A critical review

Z Zhao, Y Liu, Y Lu, C Ji, C Lin, L Yao, Z Pu… - Journal of Building …, 2024 - Elsevier
Recycled aggregate concrete (RAC) not only alleviates the shortage of natural aggregates
but also promotes the recycling of construction and demolition waste, contributing to …

[HTML][HTML] Age influence on compressive strength for concrete made with different types of aggregates after exposed to high temperatures

AM Seyam, R Nemes - Materials Today: Proceedings, 2023 - Elsevier
This study investigates the influence of concrete age and the type of coarse aggregate on
compressive strength after exposure to high temperatures. Three coarse aggregates were …

Compressive mechanical performance and microscopic mechanism of basalt fiber-reinforced recycled aggregate concrete after elevated temperature exposure

X Zhang, Y Zhu, Y Shen, J Wang, Y Fan, X Gao… - Journal of Building …, 2024 - Elsevier
To improve the mechanical properties of recycled aggregate concrete (RAC) after elevated
temperature exposure, this study employed basalt fiber (BF) as reinforcing material …

Predictive and experimental assessment of chloride ion permeation in concrete subjected to multi-factorial conditions using the XGBoost algorithm

X Yu, T Hu, N Khodadadi, J Liu, A Nanni - Journal of Building Engineering, 2024 - Elsevier
Chloride ions infiltrate concrete structures, causing corrosion of the steel reinforcement,
which creates concrete spalling and decreases load-bearing capacity, ultimately leading to …

Machine learning prediction of electric flux in concrete and mix proportion optimization design

J Dai, X Yang, J He, Q Wang, Z Zhang - Materials Today Communications, 2024 - Elsevier
This study explored nine machine learning (ML) methods, including linear, nonlinear and
integrated learning models, to predict concrete electrical flux metrics reflecting the chloride …

Predict the compressive strength of ultra high-performance concrete by a hybrid method of machine learning

N Gong, N Zhang - Journal of Engineering and Applied Science, 2023 - Springer
Ultra-high performance concrete (UHPC) benefits the construction industry due to its
improved flexibility, high workability, durability, and performance compared to normal …

Global big data laboratory experiment, integrated with kernel-based algorithm with an improved nonlinear ensemble for compressive strength modeling

BA Salami, J Usman, A Gbadamosi, SI Malami… - Scientific Reports, 2024 - nature.com
With the continuous clamor for a reduction in embodied carbon in cement, rapid solution to
climate change, and reduction to resource depletion, studies into substitute binders become …