Integrating multiscale numerical simulations with machine learning to predict the strain sensing efficiency of nano-engineered smart cementitious composites

Integrating multiscale numerical simulations with machine learning to predict the strain sensing efficiency of nano-engineered smart cementitious composites

Prediction of in-situ strain sensing efficiency of self-sensing cementitious composites using machine learning (ML) requires a large, representative, consistent, and accurate dataset. However, such large experimental dataset is not readily available. Moreover, the success of the ML approach depends...

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Bibliographic Details
Main Authors: Gideon A. Lyngdoh, Sumanta Das
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:Materials & Design
Subjects:
Machine learning
Neural network
Piezo-resistivity
Strain-sensing
Micromechanics
Multiscale numerical simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127521005505

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http://www.sciencedirect.com/science/article/pii/S0264127521005505

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