PONE-D-21-32899Prediction and developing of shear strength of reinforced high strength concrete beams with and without Steel Fibers Using Multiple Mathematical ModelsPLOS ONE

Dear Dr. Saber,

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PLOS ONE

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Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: The authors have clearly answered my questions. In the reviewer's opinion, this manuscript can be accepted in the current form.

The following two papers are provided for the authors for reference:

[1] Yong Yu, Xinyu Zhao, Jinjun Xu, Cheng Chen, Simret Tesfaye Deresa, Jintuan Zhang. Machine learning‐based evaluation of shear capacity of recycled aggregate concrete beams. Materials, 2020, 13(4552).

[2] Xie T. Y., Aliakbar G., Togay O. Toward the development of sustainable concretes with recycled concrete aggregates: Comprehensive review of studies on mechanical properties. Journal of Materials in Civil Engineering, 2018, 30(9), 04018211.

Reviewer #2: 1. In Section 2, the author lists many research results, but only makes a brief statement and summary of each researcher's conclusions without any critical review or analysis of their progress or limitations. Reviewers believe that the Section 2 should have more discussion rather than a simple statement.

2. In Section 4, the author has collected a large amount of data, what criteria are used to select these data? please give more information and explanation to ensure the authenticity and reliability of these data.

3. Some figures do not highlight the advantages of the model obtained in this study over other models. It is suggested that the author make appropriate modifications to these figures (such as Fig.10). In addition, there are many statements irrelevant to the research of this paper in the conclusion part. Please make appropriate modifications to highlight the innovations of this research.

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Reviewer #1: No

Reviewer #2: No

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Prediction and developing of shear strength of reinforced high strength concrete beams with and without Steel Fibers Using Multiple Mathematical Models

PONE-D-21-32899R1

Dear Dr. Saber,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Tianyu Xie, Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I think that this paper can be accepted in its current form. The authors have well answered all of my questions.

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No