Probabilistic cracking prediction via deep learned electrical tomography
| Author(s): |
Liang Chen
(Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, UK)
Adrien Gallet (Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, UK) Shan-Shan Huang (Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, UK) Dong Liu 
(CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences, University of Science and Technology of China, Hefei, China)
Danny Smyl
(Department of Civil and Structural Engineering, The University of Sheffield, Sheffield, UK)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, January 2022, n. 4, v. 21 |
| Page(s): | 147592172110372 |
| DOI: | 10.1177/14759217211037236 |
| License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
Download full text file (PDF)
1.71 MB
Advertisement
Advertisement
1.71 MB
- About this
data sheet - Reference-ID
10627270 - Published on:
05/09/2021 - Last updated on:
20/06/2022
Structurae cooperates with