Parameter identification for a Cowper-Symonds material model using a genetic algorithm combined with a response surface. Issue 3 (2nd May 2017)
- Record Type:
- Journal Article
- Title:
- Parameter identification for a Cowper-Symonds material model using a genetic algorithm combined with a response surface. Issue 3 (2nd May 2017)
- Main Title:
- Parameter identification for a Cowper-Symonds material model using a genetic algorithm combined with a response surface
- Authors:
- Škrlec, Andrej
Klemenc, Jernej - Abstract:
- Abstract : Purpose: In conditions where a product is subjected to extreme mechanical loading in a very short time, a strain rate has a significant influence on the behaviour of the product's material. To accurately simulate the behaviour of the material during these loading conditions, the strain rate parameters of the selected material model should be appropriately used. This paper aims to present a fast method with which the proper strain-rate-dependent parameter values of the selected material model can be easily determined. Design/methodology/approach: In the paper, an experiment was designed to study the behaviour of thin, flat, metal sheets during an impact. The results from this experiment were the basis for the determination of the strain-rate-dependent parameter values of the Cowper– Symonds material model. Optimisation processes with different numbers of required parameters of the selected material model were performed. The optimisation process consists of the method for design of experiment, modelling a response surface and a genetic algorithm. Findings: The paper provides comparison of two optimisation processes with different methods for design of experiment. The performances of the presented method are compared and the engineering applicability of the results is discussed. Originality/value: This paper presents a new fast approach for the identification of the parameter values of the Cowper– Symonds material model, if these cannot be easily determined directlyAbstract : Purpose: In conditions where a product is subjected to extreme mechanical loading in a very short time, a strain rate has a significant influence on the behaviour of the product's material. To accurately simulate the behaviour of the material during these loading conditions, the strain rate parameters of the selected material model should be appropriately used. This paper aims to present a fast method with which the proper strain-rate-dependent parameter values of the selected material model can be easily determined. Design/methodology/approach: In the paper, an experiment was designed to study the behaviour of thin, flat, metal sheets during an impact. The results from this experiment were the basis for the determination of the strain-rate-dependent parameter values of the Cowper– Symonds material model. Optimisation processes with different numbers of required parameters of the selected material model were performed. The optimisation process consists of the method for design of experiment, modelling a response surface and a genetic algorithm. Findings: The paper provides comparison of two optimisation processes with different methods for design of experiment. The performances of the presented method are compared and the engineering applicability of the results is discussed. Originality/value: This paper presents a new fast approach for the identification of the parameter values of the Cowper– Symonds material model, if these cannot be easily determined directly from experimental data. … (more)
- Is Part Of:
- Engineering computations. Volume 34:Issue 3(2017)
- Journal:
- Engineering computations
- Issue:
- Volume 34:Issue 3(2017)
- Issue Display:
- Volume 34, Issue 3 (2017)
- Year:
- 2017
- Volume:
- 34
- Issue:
- 3
- Issue Sort Value:
- 2017-0034-0003-0000
- Page Start:
- 921
- Page End:
- 940
- Publication Date:
- 2017-05-02
- Subjects:
- Finite-element method -- Genetic algorithm -- LS-Dyna -- Response surface -- Strain rate -- Taguchi orthogonal array
Computer-aided engineering -- Periodicals
Computer graphics -- Periodicals
620.00285 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=ec ↗
http://www.emeraldinsight.com/journals.htm?issn=0264-4401 ↗
http://www.emeraldinsight.com/0264-4401.htm ↗
http://www.emeraldinsight.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1108/EC-03-2016-0099 ↗
- Languages:
- English
- ISSNs:
- 0264-4401
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3758.580800
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 2702.xml