Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm

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JIXIN, Wang ;MINGYAO, Yao ;YONGHAI, Yang .
Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 57, n.10, p. 760-767, june 2018. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/global-optimization-of-lateral-performance-for-two-post-rops-based-on-the-kriging-model-and-genetic-algorithm/>. Date accessed: 15 sep. 2019. 
doi:http://dx.doi.org/10.5545/sv-jme.2010.246.
Jixin, W., Mingyao, Y., & Yonghai, Y.
(2011).
Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm.
Strojniški vestnik - Journal of Mechanical Engineering, 57(10), 760-767.
doi:http://dx.doi.org/10.5545/sv-jme.2010.246
@article{sv-jmesv-jme.2010.246,
	author = {Wang  Jixin and Yao  Mingyao and Yang  Yonghai},
	title = {Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {57},
	number = {10},
	year = {2011},
	keywords = {engineering vehicle; rollover protective structure (ROPS); global optimization; Kriging; genetic algorithm; energy absorption},
	abstract = {To improve their energy-absorption capacity, the current study provides a global optimization design method for two-post rollover protective structures (ROPS) that utilizes the Latin hypercube method to determine sample point values, the Kriging model as an alternative to traditional second-order polynomial response surfaces for constructing global approximations, and the genetic algorithm to yield optimized results. Through optimization, a satisfactory variation tendency of object function in the lateral loading analysis is obtained, and the load-carrying capability, deformation, and energy absorption are found to match each other well. The matching rationality between energy absorption and lateral loadcarrying capability effectively improves the energy-absorption capacity of the ROPS.},
	issn = {0039-2480},	pages = {760-767},	doi = {10.5545/sv-jme.2010.246},
	url = {https://www.sv-jme.eu/article/global-optimization-of-lateral-performance-for-two-post-rops-based-on-the-kriging-model-and-genetic-algorithm/}
}
Jixin, W.,Mingyao, Y.,Yonghai, Y.
2011 June 57. Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 57:10
%A Jixin, Wang 
%A Mingyao, Yao 
%A Yonghai, Yang 
%D 2011
%T Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm
%B 2011
%9 engineering vehicle; rollover protective structure (ROPS); global optimization; Kriging; genetic algorithm; energy absorption
%! Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm
%K engineering vehicle; rollover protective structure (ROPS); global optimization; Kriging; genetic algorithm; energy absorption
%X To improve their energy-absorption capacity, the current study provides a global optimization design method for two-post rollover protective structures (ROPS) that utilizes the Latin hypercube method to determine sample point values, the Kriging model as an alternative to traditional second-order polynomial response surfaces for constructing global approximations, and the genetic algorithm to yield optimized results. Through optimization, a satisfactory variation tendency of object function in the lateral loading analysis is obtained, and the load-carrying capability, deformation, and energy absorption are found to match each other well. The matching rationality between energy absorption and lateral loadcarrying capability effectively improves the energy-absorption capacity of the ROPS.
%U https://www.sv-jme.eu/article/global-optimization-of-lateral-performance-for-two-post-rops-based-on-the-kriging-model-and-genetic-algorithm/
%0 Journal Article
%R 10.5545/sv-jme.2010.246
%& 760
%P 8
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 57
%N 10
%@ 0039-2480
%8 2018-06-29
%7 2018-06-29
Jixin, Wang, Yao  Mingyao, & Yang  Yonghai.
"Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm." Strojniški vestnik - Journal of Mechanical Engineering [Online], 57.10 (2011): 760-767. Web.  15 Sep. 2019
TY  - JOUR
AU  - Jixin, Wang 
AU  - Mingyao, Yao 
AU  - Yonghai, Yang 
PY  - 2011
TI  - Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2010.246
KW  - engineering vehicle; rollover protective structure (ROPS); global optimization; Kriging; genetic algorithm; energy absorption
N2  - To improve their energy-absorption capacity, the current study provides a global optimization design method for two-post rollover protective structures (ROPS) that utilizes the Latin hypercube method to determine sample point values, the Kriging model as an alternative to traditional second-order polynomial response surfaces for constructing global approximations, and the genetic algorithm to yield optimized results. Through optimization, a satisfactory variation tendency of object function in the lateral loading analysis is obtained, and the load-carrying capability, deformation, and energy absorption are found to match each other well. The matching rationality between energy absorption and lateral loadcarrying capability effectively improves the energy-absorption capacity of the ROPS.
UR  - https://www.sv-jme.eu/article/global-optimization-of-lateral-performance-for-two-post-rops-based-on-the-kriging-model-and-genetic-algorithm/
@article{{sv-jme}{sv-jme.2010.246},
	author = {Jixin, W., Mingyao, Y., Yonghai, Y.},
	title = {Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {57},
	number = {10},
	year = {2011},
	doi = {10.5545/sv-jme.2010.246},
	url = {https://www.sv-jme.eu/article/global-optimization-of-lateral-performance-for-two-post-rops-based-on-the-kriging-model-and-genetic-algorithm/}
}
TY  - JOUR
AU  - Jixin, Wang 
AU  - Mingyao, Yao 
AU  - Yonghai, Yang 
PY  - 2018/06/29
TI  - Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 57, No 10 (2011): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 10.5545/sv-jme.2010.246
KW  - engineering vehicle, rollover protective structure (ROPS), global optimization, Kriging, genetic algorithm, energy absorption
N2  - To improve their energy-absorption capacity, the current study provides a global optimization design method for two-post rollover protective structures (ROPS) that utilizes the Latin hypercube method to determine sample point values, the Kriging model as an alternative to traditional second-order polynomial response surfaces for constructing global approximations, and the genetic algorithm to yield optimized results. Through optimization, a satisfactory variation tendency of object function in the lateral loading analysis is obtained, and the load-carrying capability, deformation, and energy absorption are found to match each other well. The matching rationality between energy absorption and lateral loadcarrying capability effectively improves the energy-absorption capacity of the ROPS.
UR  - https://www.sv-jme.eu/article/global-optimization-of-lateral-performance-for-two-post-rops-based-on-the-kriging-model-and-genetic-algorithm/
Jixin, Wang, Mingyao, Yao, AND Yonghai, Yang.
"Global Optimization of Lateral Performance for Two-Post ROPS Based on the Kriging Model and Genetic Algorithm" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 57 Number 10 (29 June 2018)

Authors

Affiliations

  • Jilin University, College of Mechanical Science and Engineering, China
  • Jilin University, College of Mechanical Science and Engineering, China
  • Jilin University, College of Mechanical Science and Engineering, China

Paper's information

Strojniški vestnik - Journal of Mechanical Engineering 57(2011)10, 760-767

10.5545/sv-jme.2010.246

To improve their energy-absorption capacity, the current study provides a global optimization design method for two-post rollover protective structures (ROPS) that utilizes the Latin hypercube method to determine sample point values, the Kriging model as an alternative to traditional second-order polynomial response surfaces for constructing global approximations, and the genetic algorithm to yield optimized results. Through optimization, a satisfactory variation tendency of object function in the lateral loading analysis is obtained, and the load-carrying capability, deformation, and energy absorption are found to match each other well. The matching rationality between energy absorption and lateral loadcarrying capability effectively improves the energy-absorption capacity of the ROPS.

engineering vehicle; rollover protective structure (ROPS); global optimization; Kriging; genetic algorithm; energy absorption