Estimating punching shear capacity of steel fibre reinforced concrete slabs using sequential piecewise multiple linear regression and artificial neural network
Abstract
Estimating punching shear capacity is an important task in the design of steel fibre reinforced concrete (SFRC) flat slabs. The accuracy of commonly employed empirical design equations can potentially be improved with the use of machine learning. This study relies on a piecewise multiple linear regression (PMLR) and artificial neural network (ANN) approaches to construct a prediction model that can approximate the mapping function between the...
Paper Details
Title
Estimating punching shear capacity of steel fibre reinforced concrete slabs using sequential piecewise multiple linear regression and artificial neural network
Published Date
Apr 1, 2019
Journal
Volume
137
Pages
58 - 70
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