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Embedded Corrosion Sensing with ZnO-PVDF Sensor Textiles
Article investigating a non-conductive sensor textile as a viable solution for corrosion in underground and submerged steel pipes. The results offer a new option for sub-surface corrosion sensing using low cost, easily fabricated sensor textiles.
Date:
May 28, 2020
Creator:
Chowdhury, Tonoy; D'Souza, Nandika Anne, 1967-; Ho, Yee-Hsien; Dahotre, Narendra B. & Mahbub, Ifana
System:
The UNT Digital Library
Characterize traction–separation relation and interfacial imperfections by data-driven machine learning models
This article combines machine learning (ML), finite element analysis (FEA), and empirical experiments to develop data-driven models that characterize interfacial mechanical properties precisely. It also provides a code package containing trained ML models, allowing other researchers to establish T–S relations for different material interfaces.
Date:
July 12, 2021
Creator:
Ferdousi, Sanjida; Chen, Qiyi; Soltani, Mehrzad; Zhu, Jiadeng; Cao, Pengfei; Choi, Wonbong et al.
System:
The UNT Digital Library