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Article
Peer-Review Record

A Study on Multi-Objective Optimization of Large Deformable Elastic Plates

Buildings 2022, 12(9), 1323; https://doi.org/10.3390/buildings12091323
by Kiichiro Sawada *, Keigo Kajitani, Tatsuya Uno, Junpei Teramoto and Shingo Komatsu
Reviewer 2:
Buildings 2022, 12(9), 1323; https://doi.org/10.3390/buildings12091323
Submission received: 3 August 2022 / Revised: 24 August 2022 / Accepted: 25 August 2022 / Published: 29 August 2022
(This article belongs to the Special Issue Recent Researches on Connection and Bracing in Steel Structures)

Round 1

Reviewer 1 Report

Please refer to the attached file. 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Dear authors,

The authors present in this study a complex multicriteria optimization problem involving large deformable elastic plates with rectangular shapes.

As a week elements

The abstract must be more consistent. It has less than 100 words, which is not allowed at such a level.

The introduction should be expanded with many more references. There are only 5 references.

The authors must show more rigor in the elaboration of a research at such a level.

All chapters must be reanalyzed and additional explanations introduced for each chapter.

As well as connecting elements between them. We cannot present everything expeditiously. More explanations and much more rigor in redaction are needed.

TABLES must be put in word format, NOT AS A PICTURE.

The bibliography must be expanded to a range of references at least double the current one where there are only 12 references.

NSGAII what does this mean? Please explain the term as well as others that were omitted in the text

How was the finite element analysis done? With what program and I need more details.

The comparison of the two types of experimental and numerical tests are not necessarily well explained and the references to text tables and figures are too distant.

As a notable elements

The difficulty of multicriteria optimization consists in the ability of the initiator to find the weights that simultaneously satisfy the established criteria so that the system response is the desired one. In the present case, it is about the ability of genetic algorithms to choose the surviving chromosome imposing a series of constraints generated by the conditions imposed by the user depending on the phenomenon studied. The authors showed this very briefly, although it is an interesting research.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 2 Report

Dear authors,

Firstly thank you for your feedback!

The authors have responded to my comments, the scientific quality of the paper has been improved according to all reviewers observations and that is better approaching of the journal exigencies. 

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