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/sl/article/global-optimization-of-lateral-performance-for-two-post-rops-based-on-the-kriging-model-and-genetic-algorithm/>. Date accessed: 23 apr. 2024. 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/sl/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/sl/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. 23 Apr. 2024
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/sl/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/sl/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/sl/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)
Strojniški vestnik - Journal of Mechanical Engineering 57(2011)10, 760-767
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
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.