Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Concrete 2.0: Harnessing Machine Learning For Strength Prediction

Concrete 2.0: Harnessing Machine Learning For Strength Prediction

S, Venkateswaran
S, Ragul
N, Vimal Raj

Paperback

General Sociology

ISBN10: 6208418933
ISBN13: 9786208418939
Publisher: LAP Lambert Academic Publishing
Published: Dec 27 2024
Pages: 96
Weight: 0.31
Height: 0.23 Width: 6.00 Depth: 9.00
Language: English
This study predicts the capability of recycled plastic granules as a sustainable opportunity to conventional coarse mixture in concrete by using neural network. The goal is to increase a study gadget learning model capable of accurately predicting the compressive strength of concrete containing numerous chances of recycled plastic aggregate. This learning is helpful to overcome the required time period for knowing concrete strength by traditional method. This research contributes imparting a reliable tool for predicting the compressive strength of concrete with plastic combination. It optimize the combination layout for numerous programs, and inspect the effect of various kinds of plastic waste on concrete.

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