Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Ma Xiaokui"'
Publikováno v:
In Applied Acoustics February 2019 145:41-51
Autor:
Ma, XiaoKui1 (AUTHOR), Gu, ZhengQi1,2 (AUTHOR), Han, ZhengTong1 (AUTHOR), Mi, ChengJi3 (AUTHOR), Jin, XiangZhong4 (AUTHOR)
Publikováno v:
Mechanics Based Design of Structures & Machines. 2022, Vol. 50 Issue 9, p3140-3156. 17p.
Autor:
Gu, Zhengqi, Ma, Xiaokui
Publikováno v:
In International Journal of Fatigue November 2018 116:172-179
Autor:
Ma, Xiaokui1 (AUTHOR) maxiaokui@hnu.edu.cn, Gu, Zhengqi1,2 (AUTHOR), Mi, Chengji3 (AUTHOR), Jin, Xiangzhong1 (AUTHOR)
Publikováno v:
Fatigue & Fracture of Engineering Materials & Structures. Oct2020, Vol. 43 Issue 10, p2441-2454. 14p.
Publikováno v:
Vehicle System Dynamics. 60:3810-3829
A new tyre vertical vibration model is proposed for the determination of the tyre vertical mechanical properties. The tyre is simplified as a vibration system composed of several discrete belt elas...
Autor:
Inoue, Tomoo, Lin, Amity, Ma, Xiaokui, McKenna, Stephen L., Creasey, Graham H., Manley, Geoffrey T., Ferguson, Adam R., Bresnahan, Jacqueline C., Beattie, Michael S.
Publikováno v:
In Experimental Neurology October 2013 248:136-147
Publikováno v:
Engineering Optimization. 54:305-328
Considering stress constraints in multi-material topology optimization is of great importance from both theoretical and application perspectives. In this article, the stress-constrained multi-mater...
Publikováno v:
Mechanics Based Design of Structures and Machines. 50:3140-3156
Weld of mining dump truck (MDT) frame is prone to fatigue damage due to the unreasonable local structure of cavity with stiffeners. However, there are considerable limitations in the engineering im...
Publikováno v:
Fatigue & Fracture of Engineering Materials & Structures. 43:2441-2454
Publikováno v:
Computers & Structures. 222:10-24
This paper presents an extension of the basic truss layout optimization, in which the use of various materials is considered. A novel improved version of the particle swarm optimization algorithm, namely, GEMPSO, is developed for solving this problem