Digital Integration of Temperature Field of Cable-Stayed Bridge Based on Finite Element Model Updating and Health Monitoring
Round 1
Reviewer 1 Report
This paper proposes a method to update the temperature field based on the stochastic response surface model (SRSM) of the finite element model. That is, the SRSM is first used to express the relationship between the structural uncertainty parameters (material parameters) and the response (temperature field), and then the statistical eigenvalues of the parameters are estimated by constructing the corresponding model updating process.
I believe that the article is suitable for publication considering its relevance to a current and widely impactful topic. However, in order to improve the article's clarity for readers, it would be beneficial to have clearer and more detailed figures. Additionally, the introduction should be expanded to provide a more comprehensive overview of previous research on the topic, and the conclusion should be extended to summarize the main findings and implications. It would also be valuable to include a discussion section to further enhance the quality of the article.
Author Response
Thank you for your review work. We have provided a detailed response to your valuable suggestions. Please refer to the "response to reviewers and editors sustainability 2328044" uploaded to the system for the response contents.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The paper presents a solution to the problem of monitoring the condition of bridges based on simulation of the complete temperature field with a limited amount of input data. This issue is relevant and appropriate. The paper has a proper problem statement, theoretical research part, analysis of experimental tests, and conclusions. The literature review is small, but sufficient and up-to-date.
The use of the integrated FE modeling and bridge condition monitoring method allows obtaining complete temperature field data. The use of LSTM networks and model optimization allows effectively reconstructing the bridge's temperature field and filling gaps in data for evaluating the bridge's condition safety. The use of deep learning for data analysis in monitoring can be useful in other engineering fields, such as the condition of buildings and structures, machine and equipment efficiency, etc.
However, the reviewer has several comments:
1. In Fig. 12, the input data for the east and south sides are fully covered by other lines, making it impossible to analyze their impact.
2. The legend explaining the colors of the graph lines is not indicated in Fig. 20.
3. Tables 1-3 refer only to the LSTM model, so why indicate its name as one of the columns.
4. The conclusions written in a general form. It is recommended to add the main numerical characteristics of the model obtained in the research.
5. In some places, the formulas and text are placed on different levels. For example, lines 101, 102, 121, 123, etc.
6. The list of references lacks DOI links.
Author Response
Thank you for your review work. We have provided a detailed response to your valuable suggestions. Please refer to the "response to reviewers and editors sustainability 2328044" uploaded to the system for the response contents.
Author Response File: Author Response.pdf
Reviewer 3 Report
The authors have proposed a method to monitor the temperature data of the bridge structure and propose a package of the health monitoring system. Though the study is appreciable, I do not recommend this paper in its current form. There has to be a substantial improvement in the paper before publication. The introduction is very weak, there is no clarity and cohesion in the content, and it has to be rewritten completely. The data presented is very extensive. Please try to be very specific in presenting your data, and accordingly provide the discussion. Additional data can be presented as a supplementary file. Improve your discussion by citing some relevant papers. Overall, the paper needs major revision before publication, I don't recommend it in the current format. Serious English editing is necessary.
Author Response
Thank you for your review work. We have provided a detailed response to your valuable suggestions. Please refer to the "response to reviewers and editors sustainability 2328044" uploaded to the system for the response contents.
Author Response File: Author Response.pdf
Reviewer 4 Report
The reviewer had a lot of doubts while reading this draft, so reviewer recommend taking the following comments into account.
Unclear units of measurement of thermal conductivity and specific heat.
Where is the heat transfer coefficient displayed?
The text lacks precise references to figures and table.
It is not entirely clear what parameters of materials and structural elements are evaluated in the finite element model.
Is the surface color of structural elements evaluated?
Truss or main beam deffinition should be used?
„all surfaces are exposed to direct solar radiation, the... 339“. At the same time or at separate time intervals?
In figure 19 (a) how inside bridge tower temperature were measured.
„is initially was“?
What parameters are shown in tables 1 and 2, what do they mean?
Conclusions that are similar to generalization, could provide more information about accuracy.
Author Response
Thank you for your review work. We have provided a detailed response to your valuable suggestions. Please refer to the "response to reviewers and editors sustainability 2328044" uploaded to the system for the response contents.
Author Response File: Author Response.pdf
Round 2
Reviewer 3 Report
The authors have addressed all the reviewer comments.
Author Response
Thank you very much for your review work.