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Longji Jian
xihua university
Corresponding Author
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Traditional parametric models of solid mechanics have disadvantages such as poor lightweight level of cloud data and low integrity of operations of solid mechanics. To solve the above problems, a parametric model for solid mechanics in engineering research based on cloud computing models is designed. By calculating the number of cloud data copy optimizations, the upper limit of resources required for engineering research is estimated, and the specific values is assessed by continuously cycling the demand, so as to complete the basic conflict analysis, and set up a cloud computing engineering research environment. On this basis, the modeling index is selected. By analyzing the sensitivity of the index, the purpose of optimizing the modeling parameters is achieved, and a new solid mechanics parametric model is constructed. Analyzing and contrasting the experimental data shows that after applying the parametric model of solid mechanics in the engineering research based on the cloud computing model, the lightweight level of cloud data can be increased by up to 24 levels, and the operational integrity of solid mechanics can be increased by about 30%.
Keywords
cloud computing model, engineering research, solid mechanics, parametric model, data copy, demand estimation
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CURRENT STATUS: Published
View the published article at EURASIP Journal on Wireless Communications and Networking.
Version 2
Posted 18 Sep, 2020
No community comments so far
Editorial decision: Accept
On 13 Oct, 2020
Review #3 received
Received 01 Oct, 2020
Review #2 received
Received 28 Sep, 2020
Reviewer #3 agreed
On 23 Sep, 2020
Reviewer #2 agreed
On 22 Sep, 2020
Review #1 received
Received 22 Sep, 2020
Reviewer #1 agreed
On 22 Sep, 2020
Reviewers invited
Invitations sent on 18 Sep, 2020
Editor assigned
On 17 Sep, 2020
Submission checks complete
On 16 Sep, 2020
Editor invited
On 16 Sep, 2020
No comments provided
Editorial decision: Major revision
On 08 Sep, 2020
Review #2 received
Received 05 Sep, 2020
Reviewer #3 agreed
On 03 Sep, 2020
Reviewer #4 agreed
On 03 Sep, 2020
Review #3 received
Received 03 Sep, 2020
Review #1 received
Received 03 Sep, 2020
Reviewer #2 agreed
On 20 Aug, 2020
Editor assigned
On 19 Aug, 2020
Reviewers invited
Invitations sent on 19 Aug, 2020
Reviewer #1 agreed
On 19 Aug, 2020
Editor invited
On 18 Aug, 2020
Submission checks complete
On 17 Aug, 2020
First submitted
On 16 Aug, 2020
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See the published version of this preprint at EURASIP Journal on Wireless Communications and Networking.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Longji Jian
xihua university
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at EURASIP Journal on Wireless Communications and Networking.
Version 2
Posted 18 Sep, 2020
No community comments so far
Editorial decision: Accept
On 13 Oct, 2020
Review #3 received
Received 01 Oct, 2020
Review #2 received
Received 28 Sep, 2020
Reviewer #3 agreed
On 23 Sep, 2020
Reviewer #2 agreed
On 22 Sep, 2020
Review #1 received
Received 22 Sep, 2020
Reviewer #1 agreed
On 22 Sep, 2020
Reviewers invited
Invitations sent on 18 Sep, 2020
Editor assigned
On 17 Sep, 2020
Submission checks complete
On 16 Sep, 2020
Editor invited
On 16 Sep, 2020
No comments provided
Editorial decision: Major revision
On 08 Sep, 2020
Review #2 received
Received 05 Sep, 2020
Reviewer #3 agreed
On 03 Sep, 2020
Reviewer #4 agreed
On 03 Sep, 2020
Review #3 received
Received 03 Sep, 2020
Review #1 received
Received 03 Sep, 2020
Reviewer #2 agreed
On 20 Aug, 2020
Editor assigned
On 19 Aug, 2020
Reviewers invited
Invitations sent on 19 Aug, 2020
Reviewer #1 agreed
On 19 Aug, 2020
Editor invited
On 18 Aug, 2020
Submission checks complete
On 17 Aug, 2020
First submitted
On 16 Aug, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at EURASIP Journal on Wireless Communications and Networking.
Traditional parametric models of solid mechanics have disadvantages such as poor lightweight level of cloud data and low integrity of operations of solid mechanics. To solve the above problems, a parametric model for solid mechanics in engineering research based on cloud computing models is designed. By calculating the number of cloud data copy optimizations, the upper limit of resources required for engineering research is estimated, and the specific values is assessed by continuously cycling the demand, so as to complete the basic conflict analysis, and set up a cloud computing engineering research environment. On this basis, the modeling index is selected. By analyzing the sensitivity of the index, the purpose of optimizing the modeling parameters is achieved, and a new solid mechanics parametric model is constructed. Analyzing and contrasting the experimental data shows that after applying the parametric model of solid mechanics in the engineering research based on the cloud computing model, the lightweight level of cloud data can be increased by up to 24 levels, and the operational integrity of solid mechanics can be increased by about 30%.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
This preprint is available for download as a PDF.
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