Image-based surface scratch detection on architectural glass panels using deep learning approach-Reference-Cited by-同舟云学术

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Image-based surface scratch detection on architectural glass panels using deep learning approach

Published:2021-05 Issue: Volume:282 Page:122717
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Pan Zhufeng,Yang Jian,Wang Xing-er,Wang Feiliang,Azim Iftikhar,Wang Chenyu

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference51 articles.

1. Multiple scratch tests and surface-related fatigue properties of monolithic ceramics and soda lime glass;Petit;J. Eur. Ceram. Soc.,2009

2. A comparative study of numerical modelling techniques for the fracture of brittle materials with specific reference to glass;Wang;Eng. Struct.,2017

3. Simulating the impact damage of laminated glass considering mixed mode delamination using FEM/DEM;Wang;Compos. Struct.,2018

4. Characterisation of the scratch resistance of annealed and tempered architectural glass;Schneider;Thin Solid Films,2012

5. Influence of surface scratches on the flexure strength of soda-lime silicate and borosilicate glass;Swab;Exp. Mech.,2013

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