Application of the Value Optimization Model of Key Factors Based on DSEM. (12th July 2016)
- Record Type:
- Journal Article
- Title:
- Application of the Value Optimization Model of Key Factors Based on DSEM. (12th July 2016)
- Main Title:
- Application of the Value Optimization Model of Key Factors Based on DSEM
- Authors:
- Su, Chao
Ren, Zhiming - Other Names:
- Kyrchei Ivan Academic Editor.
- Abstract:
- Abstract : The key factors of the damping solvent extraction method (DSEM) for the analysis of the unbounded medium are the size of bounded domain, the artificial damping ratio, and the finite element mesh density. To control the simulation accuracy and computational efficiency of the soil-structure interaction, this study establishes a value optimization model of key factors that is composed of the design variables, the objective function, and the constraint function system. Then the optimum solutions of key factors are obtained by the optimization model. According to some comparisons of the results provided by the different initial conditions, the value optimization model of key factors is feasible to govern the simulation accuracy and computational efficiency and to analyze the practical unbounded medium-structure interaction.
- Is Part Of:
- Mathematical problems in engineering. Volume 2016(2016)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2016(2016)
- Issue Display:
- Volume 2016, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 2016
- Issue:
- 2016
- Issue Sort Value:
- 2016-2016-2016-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-07-12
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2016/3240720 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10306.xml