A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs.

S, Lu; M, Koopialipoor; PG, Asteris; M, Bahri; DJ, Armaghani

doi:10.3390/ma13173902

Public

A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs.

Shared by NobleBlocks on Sep 3, 2020 • 12:00 AM UTC

Authors:

Lu S

Koopialipoor M

Asteris PG

Abstract

When designing flat slabs made of steel fiber-reinforced concrete (SFRC), it is very important to predict their punching shear capacity accurately. The use of machine learning seems to be a great way to improve the accuracy of empirical equations currently used in this field. Accordingly, this study...

Subject

Feature Selection

Tree Model

Fiber-reinforced Concrete

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