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1d
AZoBuild on MSNMachine Learning Accurately Predicts Strength of Concrete Made with Industrial Waste
The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...
10d
AZoBuild on MSNResearchers Develop Machine Learning Model to Predict High-Strength Concrete Performance
A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...
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AZoBuild on MSNNew Study Uses Box-Behnken Design to Optimize Strength and Workability of Eco-Friendly Concrete
Optimizing concrete with recycled shea nutshell ash using the Box-Behnken design, this study enhances performance metrics ...
Figure 10 shows relationship between mechanical impedance and compressive strength, and exponent of the regression curve is 5.8 because Young’s modulus is 2.16 power of mechanical impedance, and ...
Compressive BLAT. To implement a compressive version of the faster BLAT algorithm, we substituted BLAT for BLAST in the coarse search step and used BLAT's local alignment algorithm for the fine ...
An adhesive can be stronger or weaker than the material it is bonding. As the density of the foam increases, it appears that the relative compressive strength starts to exceed the knit line’s strength ...
Modelling the longitudinal compressive failure of carbon-fibre-reinforced composites has been attempted for decades. Despite many developments, no single model has surfaced to provide simultaneously a ...
Penn professors Masoud Akbarzadeh of the Weitzman School and Shu Yang of the School of Engineering and Applied Science have created a 3D concrete printing system that boosts both carbon capture and ...
Givanildo Azeredo ¹, Jean-Claude Morel ², Normando Perazzo Barbosa ³, COMPRESSIVE STRENGTH TESTING OF EARTH MORTARS, Journal of Urban and Environmental Engineering, Vol. 1, No. 1 (January to March, ...
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