Research on the Identification and Quantification of Apparent Damage of Concrete Bridges based on improved Deeplabv3+

Ding Yapeng; Kang Shuai; Zeng Fankai; Pei Hongbin`; Dong Zhengfang; Wen Sen

doi:10.12454/j.jsuese.202401047

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Research on the Identification and Quantification of Apparent Damage of Concrete Bridges based on improved Deeplabv3+

更新时间：2025-11-24

- Research on the Identification and Quantification of Apparent Damage of Concrete Bridges based on improved Deeplabv3+
- “In the field of concrete bridge damage identification, an improved EMA DeepLabv3+algorithm has been proposed, which significantly improves segmentation accuracy and detail capture ability, with an average intersection to union ratio of 85.69% and an average pixel accuracy of 93.34%. It has reference value for damage detection.”
- Advanced Engineering Sciences Pages: 1-13(2025)
- 作者机构：
  
  1.河南大学建筑工程学院，河南开封，475004
  2.中国建筑第六工程局有限公司，天津，300171
- 作者简介：
- 基金信息：
- DOI：10.12454/j.jsuese.202401047
  CLC： TP375
- Received：17 December 2024，
  
  Published Online：24 November 2025，
- 稿件说明：
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丁亚芃,康帅,曾繁凯等.基于改进deeplabv3+的混凝土桥梁表观损伤识别与量化研究[J].工程科学与技术,

Ding Yapeng,Kang Shuai,Zeng Fankai,et al.Research on the Identification and Quantification of Apparent Damage of Concrete Bridges based on improved Deeplabv3+[J].Advanced Engineering Sciences,
丁亚芃,康帅,曾繁凯等.基于改进deeplabv3+的混凝土桥梁表观损伤识别与量化研究[J].工程科学与技术, DOI：10.12454/j.jsuese.202401047.

Ding Yapeng,Kang Shuai,Zeng Fankai,et al.Research on the Identification and Quantification of Apparent Damage of Concrete Bridges based on improved Deeplabv3+[J].Advanced Engineering Sciences, DOI：10.12454/j.jsuese.202401047.XXXX,XX(XX):1‒13.

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Research on the Identification and Quantification of Apparent Damage of Concrete Bridges based on improved Deeplabv3+

DOI：10.12454/j.jsuese.202401047