Study on the Meso-Failure Mechanism of Granite under Real-Time High Temperature by Numerical Simulation

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

This work presents a compelling study that investigates the behavior of granite under high temperatures through real-time uniaxial compression simulations. The authors utilized a PFC-GBM model, which was build based on laboratory experiments, to analyze various aspects such as the stress-strain relationship, crack propagation, and the evolution of acoustic emission activity and energy with temperature.

The research conducted in this article is highly commendable due to its innovative approach and thorough analysis of the experimental data. By simulating real-time conditions, the study provides valuable insights into the behavior of materials under high temperatures, which is crucial for various engineering and construction applications.

One of the strengths of this article is its adherence to the rigorous standards of the Buildings journal. The authors have effectively disseminated their results, and the structure of the article is well-organized, making it easy for readers to follow the research methodology and findings. Additionally, the language used in the article is of a high academic level, further enhancing its credibility and readability.

In my opinion, the article is of high quality and is suitable for publication in its current form. The research presented contributes significantly to the understanding of material behavior under extreme conditions and is relevant to the field of building engineering and construction.

Overall, I highly recommend the publication of this article in the Buildings journal. Its novel approach, comprehensive analysis, and adherence to academic standards make it a valuable contribution to the scientific community.

Comments on the Quality of English Language

The language used in the article is of a high academic level, further enhancing its credibility and readability.

Author Response

We really appreciate your kind comments. Thank you for taking the time and effort to review our manuscript. We are honored to have the opportunity to receive feedback from someone with your level of expertise.

Reviewer 2 Report

Comments and Suggestions for Authors

A grain-based model (GBM) of particle flow code (PFC) was developed using uniaxial compression tests. The model was then validated based on macroscopic mechanical parameters and damage modes. The findings indicate that the process of crack development, acoustic emission activity, and energy evolution during uniaxial compression may be divided into four distinct stages: initial compression, elasticity, plastic strengthening, and post-peak damage. I found the paper very well written and relevant to the technicians working in construction industry. However, I have some suggestions for the authors to improve the quality of their work.

1. The abstract should be rewritten to be more specific and comprehensive. The abstract section appears too general. It should clearly indicate the introduction, background, broader context, main key findings and conclusion.

2. The Introduction section should be improved to make the reading clearer and smoother. It should be organized according to the following items: i) present state of the art; ii) literature review; iii) motivation and objective of the study proposed; and iv) innovative contribution in terms of the methodology developed.

3. Please emphasize the novelty and research gaps to be filled by the study in the introduction section clearly.

4. The language, vocabulary, and grammar must be checked to improve readability.

5. The results and discussion section are tedious. Comparison of the results obtained in this study with those of existing studies in literature is insufficient. Please improve it.

6. The introduction provides a brief description of the subject with construction industry and its significance in prediction models. The reviewer suggests providing more details about the current status of prediction tools and the limitations of existing methodology. This will help readers understand the novelty and importance of the proposed hybrid approach in relation to previous literature, such as, Application of Gradient Boosting Machine Learning Algorithms to Predict Uniaxial Compressive Strength of Soft Sedimentary Rocks at Thar Coalfield / Decision based uncertainty model to predict rockburst in underground engineering structures using gradient boosting algorithms /Decision intelligence-driven predictive modelling of air quality index in surface mining.

7. A comparison examination with other models in the literature would enhance the case for the superiority of the proposed model.

Overall, the work introduces a new method for a grain-based model (GBM) of particle flow code (PFC) using uniaxial compression tests. The findings indicate potential enhancements in crack development, acoustic emission activity, and energy evolution during uniaxial compression. The paper should address the reviewer's recommendations to improve the clarity, scientific rigour, and generalizability of the proposed technique.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

The study includes a numeric and physical experiment, so such a study is valuable in a scientific sense. However, the problem itself is not new, so a more detailed description is needed for future research on what the next steps will be valuable in science.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

The authors did a great job during the revision.