Ensemble learning based compressive strength prediction of concrete structures through real-time non-destructive testing

Ensemble learning based compressive strength prediction of concrete structures through real-time non-destructive testing

Abstract This study conducts an extensive comparative analysis of computational intelligence approaches aimed at predicting the compressive strength (CS) of concrete, utilizing two non-destructive testing (NDT) methods: the rebound hammer (RH) and the ultrasonic pulse velocity (UPV) test. In the ens...

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Bibliographic Details
Main Authors: Harish Chandra Arora, Bharat Bhushan, Aman Kumar, Prashant Kumar, Marijana Hadzima-Nyarko, Dorin Radu, Christiana Emilia Cazacu, Nishant Raj Kapoor
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-52046-y

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