TunGPR: Enhancing data-driven maintenance for tunnel linings through synthetic datasets, deep learning and BIM-Reference-Cited by-同舟云学术

TunGPR: Enhancing data-driven maintenance for tunnel linings through synthetic datasets, deep learning and BIM

Published:2024-03 Issue: Volume:145 Page:105568
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Zhu Huamei,Huang Mengqi,Zhang Qian-Bing

Publisher

Elsevier BV

Reference52 articles.

1. GPR applications in structural detailing of a major tunnel using different frequency antenna systems;Alani;Constr. Build. Mater.,2018

2. Australian Academy of Technological Sciences & Engineering (ATSE) (2022). Explaining probabilistic risk assessment. https://www.atse.org.au/wp-content/uploads/2022/10/220930-ATSE-Explainer-Probabilistic-Assessment.pdf.

3. Generative adversarial networks for ground penetrating radar in hand held explosive hazard detection;Bishop;Detect. Sens. Mines Explos. Obj. Obscured Targets,2018

4. Cetu Road Tunnel Civil Engineering Inspection Guide Book 1: from disorder to analysis, from analysis to rating 2015 France, Centre d'études des tunnels (CETU.

5. Cetu Road Tunnel Civil Engineering Inspection Guide Book 2: Catalogue of deteriorations 2015 France, Centre d'études des tunnels (CETU.

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