Journal article
Simulation of collapse and fragmentation phenomena in a sharp interface Eulerian setting
Computers & fluids, Vol.87, pp.26-40
10/25/2013
DOI: 10.1016/j.compfluid.2012.09.007
Abstract
Sharp interface Eulerian methods are used to develop a technique for handling high speed material dynamics leading to collapse and fragmentation. Two problems are of primary interest, viz. void collapse in energetic materials and fragmentation of solids under impact; in the first case the sharp interface reconnects to itself, while in the second the sharp interface is torn apart. The challenge is to simulate using a sharp interface Eulerian approach through these topological changes and to apply boundary conditions on the immersed interfaces. Level set interface representations are combined with a modified Ghost Fluid Method to solve sharp interface dynamics in the presence of elasto-plastically deforming solid materials. A unified method of populating ghost field is developed using an adaptive least squares approach and demonstrated to be robust for severe interface deformations, including changes in topology. A parallel algorithm is used to enable solutions of large scale problems. The embedded material interfaces undergoing severe deformation while moving at a very high speed are handled efficiently and accurately in a multi-processor setting. Validation exercises, examples and benchmark calculations are presented to demonstrate the accuracy of the approach.
Details
- Title: Subtitle
- Simulation of collapse and fragmentation phenomena in a sharp interface Eulerian setting
- Creators
- A Kapahi - Department of Mechanical and Industrial Engineering, 3131 Seamans Center, The University of Iowa, Iowa City, IA 52242, USAS Sambasivan - Theoretical Division, Group T-5, MS-B284, Los Alamos National Laboratory, Los Alamos, NM 87545, USAH.S Udaykumar - Department of Mechanical and Industrial Engineering, 3131 Seamans Center, The University of Iowa, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- Computers & fluids, Vol.87, pp.26-40
- DOI
- 10.1016/j.compfluid.2012.09.007
- ISSN
- 0045-7930
- eISSN
- 1879-0747
- Publisher
- Elsevier Ltd
- Language
- English
- Date published
- 10/25/2013
- Academic Unit
- Injury Prevention Research Center; Mechanical Engineering
- Record Identifier
- 9984121961502771
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