Multicriterial optimization of a car structure using a finite-element method

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GLAVAČ, Matej ;REN, Zoran .
Multicriterial optimization of a car structure using a finite-element method. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 53, n.10, p. 657-666, august 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/multicriterial-optimization-of-a-car-structure-using-a-finite-element-method/>. Date accessed: 03 dec. 2020. 
doi:http://dx.doi.org/.
Glavač, M., & Ren, Z.
(2007).
Multicriterial optimization of a car structure using a finite-element method.
Strojniški vestnik - Journal of Mechanical Engineering, 53(10), 657-666.
doi:http://dx.doi.org/
@article{.,
	author = {Matej  Glavač and Zoran  Ren},
	title = {Multicriterial optimization of a car structure using a finite-element method},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {53},
	number = {10},
	year = {2007},
	keywords = {multicriterial optimization; finite element methods; topology; genetic algorithms; gradient algorithms; },
	abstract = {Motor-vehicle development tends to be supported by the use of computer-aided numerical methods in the early development phase. Prior to manufacturing the first prototype it is required to ensure the requested vehicle-life expectancy, the vehicle's behaviour in a collision, passenger comfort while driving, etc. The listed target values depend on many other influential parameters. The stresses occurring on the analyzed part are only one of the target values that need to be considered in the development stage. Automated processes for the optimization of the vehicle construction are often applied due to the complexity of modern numerical models. Today, the use of parametric FEM models makes it possible to identify and optimize the main parameters, such as the wall thickness of the construction and the topological changes of the surface. This paper explains the procedure for a multicriterial optimization of a car's structure, based on a systematic combination of commercial and non-commercial computer programs performing engineering analyses of car constructions with the FEM. The computer programs are upgraded with specially designed interfaces that enable automated communication. The optimization itself is based on genetic and gradient algorithms. The openness of the system enables the identification and optimization of parameters, which influence the target values and stem from different static FEM analyses, dynamic FEM analyses, collision analyses, etc. The reduction procedure for more independent target values to a single target value that is later optimized is also explained. The example illustrates the applicalility of the developed procedure.   },
	issn = {0039-2480},	pages = {657-666},	doi = {},
	url = {https://www.sv-jme.eu/article/multicriterial-optimization-of-a-car-structure-using-a-finite-element-method/}
}
Glavač, M.,Ren, Z.
2007 August 53. Multicriterial optimization of a car structure using a finite-element method. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 53:10
%A Glavač, Matej 
%A Ren, Zoran 
%D 2007
%T Multicriterial optimization of a car structure using a finite-element method
%B 2007
%9 multicriterial optimization; finite element methods; topology; genetic algorithms; gradient algorithms; 
%! Multicriterial optimization of a car structure using a finite-element method
%K multicriterial optimization; finite element methods; topology; genetic algorithms; gradient algorithms; 
%X Motor-vehicle development tends to be supported by the use of computer-aided numerical methods in the early development phase. Prior to manufacturing the first prototype it is required to ensure the requested vehicle-life expectancy, the vehicle's behaviour in a collision, passenger comfort while driving, etc. The listed target values depend on many other influential parameters. The stresses occurring on the analyzed part are only one of the target values that need to be considered in the development stage. Automated processes for the optimization of the vehicle construction are often applied due to the complexity of modern numerical models. Today, the use of parametric FEM models makes it possible to identify and optimize the main parameters, such as the wall thickness of the construction and the topological changes of the surface. This paper explains the procedure for a multicriterial optimization of a car's structure, based on a systematic combination of commercial and non-commercial computer programs performing engineering analyses of car constructions with the FEM. The computer programs are upgraded with specially designed interfaces that enable automated communication. The optimization itself is based on genetic and gradient algorithms. The openness of the system enables the identification and optimization of parameters, which influence the target values and stem from different static FEM analyses, dynamic FEM analyses, collision analyses, etc. The reduction procedure for more independent target values to a single target value that is later optimized is also explained. The example illustrates the applicalility of the developed procedure.   
%U https://www.sv-jme.eu/article/multicriterial-optimization-of-a-car-structure-using-a-finite-element-method/
%0 Journal Article
%R 
%& 657
%P 10
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 53
%N 10
%@ 0039-2480
%8 2017-08-18
%7 2017-08-18
Glavač, Matej, & Zoran  Ren.
"Multicriterial optimization of a car structure using a finite-element method." Strojniški vestnik - Journal of Mechanical Engineering [Online], 53.10 (2007): 657-666. Web.  03 Dec. 2020
TY  - JOUR
AU  - Glavač, Matej 
AU  - Ren, Zoran 
PY  - 2007
TI  - Multicriterial optimization of a car structure using a finite-element method
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - multicriterial optimization; finite element methods; topology; genetic algorithms; gradient algorithms; 
N2  - Motor-vehicle development tends to be supported by the use of computer-aided numerical methods in the early development phase. Prior to manufacturing the first prototype it is required to ensure the requested vehicle-life expectancy, the vehicle's behaviour in a collision, passenger comfort while driving, etc. The listed target values depend on many other influential parameters. The stresses occurring on the analyzed part are only one of the target values that need to be considered in the development stage. Automated processes for the optimization of the vehicle construction are often applied due to the complexity of modern numerical models. Today, the use of parametric FEM models makes it possible to identify and optimize the main parameters, such as the wall thickness of the construction and the topological changes of the surface. This paper explains the procedure for a multicriterial optimization of a car's structure, based on a systematic combination of commercial and non-commercial computer programs performing engineering analyses of car constructions with the FEM. The computer programs are upgraded with specially designed interfaces that enable automated communication. The optimization itself is based on genetic and gradient algorithms. The openness of the system enables the identification and optimization of parameters, which influence the target values and stem from different static FEM analyses, dynamic FEM analyses, collision analyses, etc. The reduction procedure for more independent target values to a single target value that is later optimized is also explained. The example illustrates the applicalility of the developed procedure.   
UR  - https://www.sv-jme.eu/article/multicriterial-optimization-of-a-car-structure-using-a-finite-element-method/
@article{{}{.},
	author = {Glavač, M., Ren, Z.},
	title = {Multicriterial optimization of a car structure using a finite-element method},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {53},
	number = {10},
	year = {2007},
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TY  - JOUR
AU  - Glavač, Matej 
AU  - Ren, Zoran 
PY  - 2017/08/18
TI  - Multicriterial optimization of a car structure using a finite-element method
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 53, No 10 (2007): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - multicriterial optimization, finite element methods, topology, genetic algorithms, gradient algorithms, 
N2  - Motor-vehicle development tends to be supported by the use of computer-aided numerical methods in the early development phase. Prior to manufacturing the first prototype it is required to ensure the requested vehicle-life expectancy, the vehicle's behaviour in a collision, passenger comfort while driving, etc. The listed target values depend on many other influential parameters. The stresses occurring on the analyzed part are only one of the target values that need to be considered in the development stage. Automated processes for the optimization of the vehicle construction are often applied due to the complexity of modern numerical models. Today, the use of parametric FEM models makes it possible to identify and optimize the main parameters, such as the wall thickness of the construction and the topological changes of the surface. This paper explains the procedure for a multicriterial optimization of a car's structure, based on a systematic combination of commercial and non-commercial computer programs performing engineering analyses of car constructions with the FEM. The computer programs are upgraded with specially designed interfaces that enable automated communication. The optimization itself is based on genetic and gradient algorithms. The openness of the system enables the identification and optimization of parameters, which influence the target values and stem from different static FEM analyses, dynamic FEM analyses, collision analyses, etc. The reduction procedure for more independent target values to a single target value that is later optimized is also explained. The example illustrates the applicalility of the developed procedure.   
UR  - https://www.sv-jme.eu/article/multicriterial-optimization-of-a-car-structure-using-a-finite-element-method/
Glavač, Matej, AND Ren, Zoran.
"Multicriterial optimization of a car structure using a finite-element method" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 53 Number 10 (18 August 2017)

Authors

Affiliations

  • P+Z Engineering GmbH, Germany
  • University of Maribor, Faculty of Mechanical Engineering, Slovenia

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 53(2007)10, 657-666

Motor-vehicle development tends to be supported by the use of computer-aided numerical methods in the early development phase. Prior to manufacturing the first prototype it is required to ensure the requested vehicle-life expectancy, the vehicle's behaviour in a collision, passenger comfort while driving, etc. The listed target values depend on many other influential parameters. The stresses occurring on the analyzed part are only one of the target values that need to be considered in the development stage. Automated processes for the optimization of the vehicle construction are often applied due to the complexity of modern numerical models. Today, the use of parametric FEM models makes it possible to identify and optimize the main parameters, such as the wall thickness of the construction and the topological changes of the surface. This paper explains the procedure for a multicriterial optimization of a car's structure, based on a systematic combination of commercial and non-commercial computer programs performing engineering analyses of car constructions with the FEM. The computer programs are upgraded with specially designed interfaces that enable automated communication. The optimization itself is based on genetic and gradient algorithms. The openness of the system enables the identification and optimization of parameters, which influence the target values and stem from different static FEM analyses, dynamic FEM analyses, collision analyses, etc. The reduction procedure for more independent target values to a single target value that is later optimized is also explained. The example illustrates the applicalility of the developed procedure.   

multicriterial optimization; finite element methods; topology; genetic algorithms; gradient algorithms;