Quantifying Raveling Using 3D Technology with Loss of Aggregates as a New Performance Indicator
Round 1
Reviewer 1 Report
This manuscript describes a cost-effective method to quantify the loss of aggregates in support of quantitative raveling conditions forecasting by leveraging 3D pavement data already collected by transportation agencies. The performance of this method is compared to other methods that can be employed for a similar purpose and the results suggested that this method outperformed other methods with a correlation coefficient of 0.995 between quantified aggregates loss volume and expected value from lab simulations. In my opinion, the data presented in this study is good well organized with practical relevance and should be published. Therefore, I recommend accepting this paper for publication, Thank you!
Author Response
Comment:
This manuscript describes a cost-effective method to quantify the loss of aggregates in support of quantitative raveling conditions forecasting by leveraging 3D pavement data already collected by transportation agencies. The performance of this method is compared to other methods that can be employed for a similar purpose and the results suggested that this method outperformed other methods with a correlation coefficient of 0.995 between quantified aggregates loss volume and expected value from lab simulations. In my opinion, the data presented in this study is good well organized with practical relevance and should be published. Therefore, I recommend accepting this paper for publication, Thank you!
Response:
Thank you for reviewing our paper!
Reviewer 2 Report
This is very interesting paper. However, please check a lots of Error in this paper! The figures must be the same format
Author Response
Comment:
This is very interesting paper. However, please check a lots of Error in this paper! The figures must be the same format.
Response:
Thank you! The original manuscript (submitted not in the Sustainability template) did not contain these reference errors. It seems like these errors occurred after the manuscript is submitted to Sustainability and converted by Sustainability using their template. All reference errors are fixed in the revised version.
Reviewer 3 Report
An interesting study is presented in the paper titled “Quantify Raveling Using 3D Technology with Loss of Aggre-2 gates as A New Performance Indicator”. The paper is mostly written in good English however there were lots of references missing and some of the figures were really poor quality with missing axes label etc. Unfortunately, without those a proper assessment on the paper could not be made. Some comments to be address are below.
1. Please make sure the figures and other researchers are cited properly. The paper was very difficult to follow from pg 4 onward due to missing references or broken links.
2. For all figures please label all axis and present units
3. Line 59-67 Please indicate what pavement preservation methods could be suitable for other levels of severity
4. Line 133 -141 Plese check formatting
5. Lines 168-170 Please clarify what logic was used to rectify the images
6. What is the significance of window size 20 and what is the unit of it?
7. Lines 218-221 – What if the joints are not transverse? How those situations are handled?
8. Please present more details on the prepared surface for validation using lab fabricated pavement mat. What was the particle size distribution of the aggregates used? What was the binder content?
9. Please clearly label all the pictures in Fig 11
10. Please present high resolution color pictures of the prepared pans with 0% and different other % of aggregate loss (this could be done by adding an appendix).
11. Line 323 – What is plaster? And why it was used? How the finished surface looked?
12. Line 328 334 - In reality it does not matter if the layer was 10mm thick or 50mm thick. A better indicator could be vol loss per m2 of the pavement area. The reviewer would strongly suggest to modify all calculation and presentation in terms of vol loss per unit pavement area rather than vol % loss which can be misleading.
13. Would it be possible to create cross-slope and rutting in the prepared specimen? If yes, why it was not done?
Author Response
Thank you for reviewing our paper, please see the attached response.
Author Response File: 
Author Response.pdf
Reviewer 4 Report
This paper presents study proposing a method to quantify raveling condition of the pavement surfaces. Authors focused on developing a method to quantify raveling conditions with the loss of aggregate at a new performance indicator together with performing validation of the accuracy of the proposed method.
Presented article may be interesting to the readership of this Journal. What is more, in my opinion, the research is complete and may be published after minor revision some few minor errors, which I wrote about below ("Minor errors" part).
Minor errors:
1) line 31: corelation parameter should be marked with capital letter R
2) lines 132-142: the font style is different than the rest of the manuscript.
3) Figures are not mentioned in the manuscript, but this may be a general problem with reference sources (see next point).
4) line 125: "Error! Reference source not found." messages appear through the whole manuscript (i.e.: line 134, 140, 160, 166, 170, 173, 182, 187, 197, 206, 216, 221, 235, 248, 261, 267, 322, 330, 341, 359, 363, 380, 396, 398, 413, 421, 448, 459, etc.)
Author Response
Thank you for reviewing our paper, please see the attached response.
Author Response File: Author Response.pdf
Round 2
Reviewer 3 Report
Please revise Figure 12. If color picture was not available, black and white pictures shoudl be ok. Please put them in sequence of 0% loss to 20% loss and clearly label a b c d etc in the picture and in the figure caption as well. This will avoid confusion. If possible add higher resulution pictures. Figure 12 is one of the most important figure in the paper. It can take a little more space. Consider increasing the sizes of the figures by 30 or 50%.
Author Response
Thank you for the comment, I agree, that figure 12 is one of the most important figures in the paper. The size of the figure could be larger and the caption should be more clear.
In the revised paper, figure 12 is enlarged to fill the entire width of the page and individual captions are added to the images.
