Optimization and prediction of mechanical properties of composite concrete with crumb rubber using RSM and hybrid DNN-HHO algorithm-Reference-Cited by-同舟云学术

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Optimization and prediction of mechanical properties of composite concrete with crumb rubber using RSM and hybrid DNN-HHO algorithm

Published:2024-05 Issue: Volume:84 Page:108486
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

Anjali R.,Venkatesan G.

Publisher

Elsevier BV

Reference43 articles.

1. Advanced Concrete Technology;Li,2022

2. Air entrainment in fresh concrete and its effects on hardened concrete-a review;Shah;Construct. Build. Mater.,2021

3. RILEM TC 277-LHS report: additives and admixtures for modern lime-based mortars;Maravelaki;Mater. Struct.,2023

4. A review and sequel experimental analysis on physical and mechanical properties of permeable concrete for pavement construction;Aravind;Int. J. Pavement Eng.,2022

5. Modelling of the mechanical properties of concrete with cement ratio partially replaced by aluminium waste and sawdust ash using artificial neural network;George;SN Appl. Sci.,2019

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1. Evaluation of Machine Learning and Traditional Methods for Estimating Compressive Strength of UHPC;Buildings;2024-08-28

2. Study of factors affecting the magnetic sensing capability of shape memory alloys for non-destructive evaluation of cracks in concrete: Using response surface methodology (RSM) and artificial neural network (ANN) approaches;Heliyon;2024-08

3. Artificial neural network modeling for predicting the carbon black content derived from unserviceable tires for elastomeric composite production;Journal of Applied Polymer Science;2024-07-03

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