Parameter Identification of Rheological Models Using Optimization Algorithms

被引：0

作者：

Pistek, V. ^{[1
]}

Novotny, P. ^{[1
]}

Mauder, T. ^{[2
]}

Klimes, L. ^{[3
]}

机构：

[1] Brno Univ Technol, Inst Automot Engn, Fac Mech Engn, Brno 61669, Czech Republic

[2] Brno Univ Technol, Fac Mech Engn, Heat Transfer & Fluid Flow Lab, CZ-61669 Brno, Czech Republic

[3] Brno Univ Technol, Fac Mech Engn, Inst Energy Tech, CZ-61669 Brno, Czech Republic

来源：

MECHATRONICS 2013: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES | 2014年

关键词：

D O I：

10.1007/978-3-319-02294-9_25

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The paper presents results of the application of optimization software GAMS and CONOPT solver for nonlinear optimization problems to identify multi-parameter elastomer rheological models. The solution is based on the experimentally set frequency-dependent dynamic stiffness of the elastomeric parts. Measured waveforms of dynamic stiffness are approximated using multi-parameter rheological models. The CONOPT solver has shown a significantly faster convergence and better accuracy of the calculation compared with the classical non-linear Gauss-Newton least square optimization technique.

引用

页码：193 / 198

页数：6

共 50 条

[1] Parameter Identification of Damage Models Using Genetic Algorithms
P. A. Muñoz-Rojas
E. L. Cardoso
M. Vaz
Experimental Mechanics, 2010, 50 : 627 - 634
[2] Parameter Identification of Damage Models Using Genetic Algorithms
Munoz-Rojas, P. A.
Cardoso, E. L.
Vaz, M., Jr.
EXPERIMENTAL MECHANICS, 2010, 50 (05) : 627 - 634
[3] Parameter identification of induction motors using stochastic optimization algorithms
Ursem, RK
Vadstrup, P
APPLIED SOFT COMPUTING, 2004, 4 (01) : 49 - 64
[4] Parameter Extraction of Battery Models Using Multiobjective Optimization Genetic Algorithms
Kumar, Praveen
Bauer, Pavol
PROCEEDINGS OF 14TH INTERNATIONAL POWER ELECTRONICS AND MOTION CONTROL CONFERENCE (EPE-PEMC 2010), 2010,
[5] Solving the parameter identification problem of mathematical models using genetic algorithms
Nyarko, EK
Scitovski, R
APPLIED MATHEMATICS AND COMPUTATION, 2004, 153 (03) : 651 - 658
[6] Accurate parameter identification of proton exchange membrane fuel cell models using different metaheuristic optimization algorithms
Sultan, Hamdy M.
Menesy, Ahmed S.
Alqahtani, Mohammed
Khalid, Muhammad
Diab, Ahmed A. Zaki
ENERGY REPORTS, 2023, 10 : 4824 - 4848
[7] INDENTATION TESTING PARAMETER IDENTIFICATION USING AN OPTIMIZATION PROCEDURE BASED ON GENETIC ALGORITHMS
Rauchs, Gast
Dumitriu, Dan
PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE, 2009, 10 (02): : 165 - 172
[8] Plant stem tissue modeling and parameter identification using metaheuristic optimization algorithms
Ghoneim, Mohamed S.
Gadallah, Samar I.
Said, Lobna A.
Eltawil, Ahmed M.
Radwan, Ahmed G.
Madian, Ahmed H.
SCIENTIFIC REPORTS, 2022, 12 (01)
[9] Optimal Parameter Identification of a PEM Fuel Cell Using Recent Optimization Algorithms
Rezk, Hegazy
Wilberforce, Tabbi
Olabi, A. G.
Ghoniem, Rania M.
Sayed, Enas Taha
Abdelkareem, Mohammad Ali
ENERGIES, 2023, 16 (14)
[10] Plant stem tissue modeling and parameter identification using metaheuristic optimization algorithms
Mohamed S. Ghoneim
Samar I. Gadallah
Lobna A. Said
Ahmed M. Eltawil
Ahmed G. Radwan
Ahmed H. Madian
Scientific Reports, 12

← 1 2 3 4 5 →