Optimal Prediction of Shear Properties in Beam-Column Joints Using Machine Learning Approach

Ramavath, S.; Suryawanshi, S. R.

doi:10.5829/ije.2024.37.01a.07

IJE

2024

DOI: 10.5829/ije.2024.37.01a.07

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Optimal Prediction of Shear Properties in Beam-Column Joints Using Machine Learning Approach

S. Ramavath,

S. R. Suryawanshi

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Cited by 3 publications

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Adaptive-Controlled Method for Monitoring the Technical Condition of Fuel Equipment and Cylinder-Piston Group of a Vehicle Power Unit

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A theoretical study of existing methods for determining the technical condition of fuel equipment and pressure in the cylinders of power plants was carried out, an algorithm was developed for the operation of an adaptive-controlled method for monitoring the technical condition of fuel equipment and the cylinder-piston group of a vehicle power plant, which solves the problem of synchronization and control of the operation of fuel equipment, depending on the pressure in the cylinders of the vehicle power plant. Based on the adaptive-controlled method of monitoring the technical condition of the fuel equipment and the cylinder-piston group of the vehicle’s power plant, a technical solution has been developed: Automated system for monitoring the technical condition of the vehicle’s fuel equipment.

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Optimal Prediction of Shear Properties in Beam-Column Joints Using Machine Learning Approach

Cited by 3 publications

References 24 publications

Probabilistic post-earthquake loss measurement for RC framed buildings using crack image analysis

Probabilistic post-earthquake loss measurement for RC framed buildings using crack image analysis

Enhancing Cold Joint Shear Strength Prediction in Concrete Structures: Novel Approach with Ensemble Spiking Neural Networks

Adaptive-Controlled Method for Monitoring the Technical Condition of Fuel Equipment and Cylinder-Piston Group of a Vehicle Power Unit

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