Comprehensive Safety Evaluation of Corroded Circular Steel Tubes under Compression Based on Image Processing

Autor: Yuan Wei, Yingjie Li, Zhaoqi Wu, Jinyu Chen, Shao-Fei Jiang, Deyuan Lin, Xianbiao Xiao
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Coatings; Volume 12; Issue 11; Pages: 1690
ISSN: 2079-6412
DOI: 10.3390/coatings12111690
Popis: In order to achieve a comprehensive and accurate evaluation of the safety of compression members made of circular steel tubes, image processing technology is commonly utilized to extract the morphology of the steel tubes before and after rust removal. The obtained results have validated the feasibility and applicability of employing digital cameras and image processing technology to analyze the images of the steel tubes before and after rust removal and to extract useful structural mechanics features. The feature values of the apparent morphology before rust removal grow with the increase of the corrosion depth, while after rust removal, the feature values first increase and then decrease with the growth of the corrosion depth. Based on this fact, a simplified equation is proposed to quantify the relationship between the feature values of the apparent morphology before and after rust removal and the corrosion depth. In continuing, a simple, fairly accurate, and comprehensive safety evaluation methodology for corroded circular steel tubes under compression is established. Finally, an example is illustrated to check the applicability and effectiveness of the proposed approach.
Databáze: OpenAIRE