Prediction of High-Performance Concrete Strength Using a Hybrid Artificial Intelligence Approach
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The experimental data used are the re- sults of Antonius' experimental study (2015), car- ried out on the behavior of normal and high- strength steel fiber concrete with
Both of the swarm intelligence optimization algorithms are tested using various sets of benchmark functions, where the results show that the HGWO-SA algorithm is improved the
After running the algorithms, determination coefficient is calculated for water saturation core data and the predicted model obtained from FSVR illustrates better results compared to
1.1 UHPC without Fiber Ultra High performance concrete is a new type of concrete which has the outstanding compressive strength and flexural strength, it was first developed in 1980s
Perceived risk negatively influences on the adoption of artificial intelligence voice control technology METHOD The purpose of this research is to study the factors for Adoption of
The compressive and split tensile strength values indicated 15 % replacement of SCBA with cement has performed better than other mixes.. Published by Elsevier
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Compared to the reinforced high strength concrete RHSC beam, the applied load of 27.66 kN which is higher by 10.51 % than of RNSC beam creates the initial cracking of concrete at which
