Experimental Research on Fatigue Performance of Q345qD Steel for Bridges Based on Digital Image

WANG Changjiang; MA Qingang; ZHANG Yuling; LI Jinbo; YANG Yuntao; ZHANG Nan; XIE Aihua; GAO Zhanjun; ZHANG Xianqing

doi:10.13204/j.gyjzG23010509

Volume 53 Issue 10

Oct. 2023

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Article Navigation > INDUSTRIAL CONSTRUCTION > 2023 > 53(10): 157-163,134

WANG Changjiang, MA Qingang, ZHANG Yuling, LI Jinbo, YANG Yuntao, ZHANG Nan, XIE Aihua, GAO Zhanjun, ZHANG Xianqing. Experimental Research on Fatigue Performance of Q345qD Steel for Bridges Based on Digital Image[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(10): 157-163,134. doi: 10.13204/j.gyjzG23010509

Citation:

WANG Changjiang, MA Qingang, ZHANG Yuling, LI Jinbo, YANG Yuntao, ZHANG Nan, XIE Aihua, GAO Zhanjun, ZHANG Xianqing. Experimental Research on Fatigue Performance of Q345qD Steel for Bridges Based on Digital Image[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(10): 157-163,134. doi: 10.13204/j.gyjzG23010509

Citation:

WANG Changjiang, MA Qingang, ZHANG Yuling, LI Jinbo, YANG Yuntao, ZHANG Nan, XIE Aihua, GAO Zhanjun, ZHANG Xianqing. Experimental Research on Fatigue Performance of Q345qD Steel for Bridges Based on Digital Image[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(10): 157-163,134. doi: 10.13204/j.gyjzG23010509

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Experimental Research on Fatigue Performance of Q345qD Steel for Bridges Based on Digital Image

doi: 10.13204/j.gyjzG23010509

1. Zhejiang Shuzhi Jiaoyuan Technology Co., Ltd., Hangzhou 310030, China;
2. China Academy of Railway Sciences Co., Ltd., Beijing 100081, China;
3. Zhejiang Shuren University, Hangzhou 310015, China;
4. Beijing Jiaotong University, Beijing 100044, China;
5. China Railway Fifth Survey and Design Institute Group Co., Ltd., Beijing 102600, China

Received Date: 2023-01-05
Available Online: 2023-12-18

Abstract

Abstract

In recent years, steel bridges, steel-concrete composite girder bridges and other steel bridges have been widely used in China. In order to ensure the safety and durability of bridges, it is very important to carry out in-depth research on fatigue state assessment of steel bridges. Among them, the application of modern technology such as digital image acquisition and transmission in fatigue monitoring and assessment is one of the research hotspots. In order to understand the morphological and data characteristics of digital image in the fatigue research of steel bridge structure details, the fatigue and three-dimensional digital strain image measurement tests were carried out synchronously by using common bridge steel Q345qD specimens. Automatic processing and fast extraction methods were explored for the maximum strain on the image. The morphological characteristics of the maximum strain of the image with the number change of fatigue cycles were analyzed. In addition the test data were fitted to form a measured curve function and were optimized. Combined with the fatigue S-N curve equation, the general formula for calculating the strain changes with the fatigue process was determined. The results showed that the measured maximum strain value image could be cropped, identified and converted digitally by a batch program, which could meet the requirements of fast extraction. The measured strain curve showed an upward trend of exponential function with the increase of number of fatigue cycles, and the trend curve had a certain width with the cyclic loading of fatigue. By extracting the peak point data, the strain showed a significant upward change at approximately 70% of fatigue life, or earlier. It was shown that the curve of digital image strain was the refinement of the damage process at a single measuring point on the fatigue S-N curve. The proposed ε-N' general formula integrated strain curve with S-N curve exhibited the inherent damage characteristics of the structural details.
- fatigue test,
- ARAMIS optical strain measuring technique,
- fatigue damage process,
- strain curve

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References(32)

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