A new algorithm for the fast and stable identification of FAY coefficients and its application as a universal platform for yield surface modeling. (15th December 2020)
- Record Type:
- Journal Article
- Title:
- A new algorithm for the fast and stable identification of FAY coefficients and its application as a universal platform for yield surface modeling. (15th December 2020)
- Main Title:
- A new algorithm for the fast and stable identification of FAY coefficients and its application as a universal platform for yield surface modeling
- Authors:
- Manopulo, Niko
Carleer, Bart - Abstract:
- Abstract: A new approach is proposed for enabling the exchange and testing of arbitrary yield surface models, solely based on a set of Fourier coefficients. This effectively reduces the implementation efforts to a single generic model description. The proposed method exploits the Fast Fourier Transform algorithm to identify a unique set of coefficients of the FAY model based on any plane stress yield surface model. The approach is tested based on well-known yield functions and is analyzed with respect to accuracy and convexity. Finally a universal yield surface format is proposed for exchanging FAY coefficients in scientific and technical communities.
- Is Part Of:
- International journal of solids and structures. Volume 207(2020)
- Journal:
- International journal of solids and structures
- Issue:
- Volume 207(2020)
- Issue Display:
- Volume 207, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 207
- Issue:
- 2020
- Issue Sort Value:
- 2020-0207-2020-0000
- Page Start:
- 1
- Page End:
- 10
- Publication Date:
- 2020-12-15
- Subjects:
- Material modeling -- Yield surfaces -- Sheet Metal Forming
Mechanics, Applied -- Periodicals
Structural analysis (Engineering) -- Periodicals
Elastic solids -- Periodicals
Mécanique appliquée -- Périodiques
Constructions, Théorie des -- Périodiques
Solides élastiques -- Périodiques
Elastic solids
Mechanics, Applied
Structural analysis (Engineering)
Periodicals
624.18 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00207683 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijsolstr.2020.10.007 ↗
- Languages:
- English
- ISSNs:
- 0020-7683
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.650000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 14951.xml