Parameter Identification of a Stress Relaxation Model Based on Differential Evolution Algorithm

Wei Wei Zhang; Hong Xu

doi:10.4028/www.scientific.net/AMR.842.482

Paper Titles

Elastic-Plastic State of Inhomogeneous Soil Array with a Spherical Cavity
p.462

Tensile Properties of Friction Stir Welding Aluminum Alloys Used in Aviation
p.466

Crack Propagation in Concrete with Silica Particles
p.470

Comparison between Experiments and FEM Simulations of the Reinforced Concrete Structure under Shake Table Test
p.477

Parameter Identification of a Stress Relaxation Model Based on Differential Evolution Algorithm
p.482

Studies on Mechanical Properties of Mulberry Branches Scrimber
p.486

Health Evaluation for Durability of Harbor Engineering in South China Based on AHP
p.489

Determination of a Loading Pressure in the Metal Forming by the Given Movements
p.494

Skid Line Prediction in Automobile Panel Forming Process
p.500

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 842Parameter Identification of a Stress Relaxation...

Parameter Identification of a Stress Relaxation Model Based on Differential Evolution Algorithm

Abstract:

In order to determine the parameters of a stress relaxation model based on Altenbach-Gorash-Naumenko creep equations, an efficient parameter identification scheme is discussed. The differential evolution (DE) algorithm is used in the identification procedure with a modified forward-Euler scheme. The model parameters of 1Cr-0.5Mo-0.25V stainless steel bolting material at 500°C have been determined, and the creep and stress relaxation behaviors have been calculated. Comparing with a step-by-step model parameter determination technology and the genetic algorithm (GA), it shows that the DE algorithm has better convergence property and suitability for parallelization, and no need of initial guesses close to the solution. Results indicate that the optimum solutions can be obtained more easily by DE algorithm than others.

You might also be interested in these eBooks

Materials, Mechanical and Manufacturing Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 842)

Pages:

482-485

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.842.482

Citation:

Cite this paper

Online since:

November 2013

Authors:

Wei Wei Zhang*, Hong Xu

Keywords:

Creep, Differential Evolution, Parameter Identification, Stress Relaxation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Jinquan Guo: Research on the Analysis and Prediction Methodology of High Temperature Stress Relaxation(Dissertation, East China University of Science and Technology, China, 2010).

Google Scholar

[2] M. J. Manjoine, in: Stress Relaxation, ASME, New York(1985), pp.521-527.

Google Scholar

[3] H. Altenbach, K. Naumenko and Y. Gorash: Int. J. Mod. Phys. B Vol. 22(2008), p.5413.

Google Scholar

[4] ZL Gaing: IEEE Trans Energy Convers Vol. 19(2004), p.384.

Google Scholar

[5] Ji MJ, Jin ZH, Tang HW: Appl Math Comput Vol. 183(2006), p.251.

Google Scholar

[6] JY Sun, QF Zhang, EPK Tsang: Inform Sci Vol. 169(2005), p.249.

Google Scholar

[7] H. Altenbach, Y. Gorash and K. Naumenko: Acta Mech. Vol. 195(2008), p.263.

Google Scholar

[8] R. Storn, K. Price: Journal for Global Optimization Vol. 11(1997), p.341.

Google Scholar

[9] NRIM Creep Data Sheet No. 44, National Research Institute for Metals, Tokyo (1997).

Google Scholar