A Rapid Bridge Crack Detection Method Based on Deep Learning

Round 1

Reviewer 1 Report

The manuscript "Rapid bridge crack detection method based on deep learning" is a good research. It presents the effect of combining DCGAN and Yolov5 for crack identification, which is an advancement for detecting these pathologies in concrete, making its precise identification vital.

The following comments are made to improve the manuscript:

Reference the following sentence: "This is because the uneven settlement of the bridge foundation in the vertical direction and the displacement in the horizontal direction lead to internal stresses in the concrete structure, resulting in cracks."

How is hydrolysis triggered in concrete structures?

Use "the cement reacts with CO₂ from the environment in the presence of moisture" instead of "cement reacts with the air and water."

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

This article presents a rapid bridge crack detection method based on deep learning. Some problems were found and are described briefly below:

1. It omits important information about the article in the introduction part (the reader should have a good understanding of the paper just from reading this part). Therefore, it must be rewritten so as to include all the pertinent issues the study addresses.

2. A good English revision is also necessary.

3. The reviewer thinks that it is better that the presented method compare with another method.

4. The conclusions are adequate. However, the authors should try to organize and generalize them in the “Final Remarks” which also can be improved a lot.

I strongly recommend to the authors rewrite the paper following these considerations.

 

Having said that this reviewer recommends this paper for publication in the Applied Sciences. Further, the author should implement the following suggestions in the paper if the editor decides to accept this paper for publication.

A good English revision is also necessary.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

See attached file

Comments for author File: Comments.pdf

Moderate editing of English language required

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 3 Report

Manuscript may be accepted for publication.