|
|
|
|
|
Yongtao Lyu, Yibiao Niu, Tao He, Limin Shu, Michael Zhuravkov and Shutao Zhou
In this paper, a new method using the backpropagation (BP) neural network combined with the improved genetic algorithm (GA) is proposed for the inverse design of thin-walled reinforced structures. The BP neural network model is used to establish the mapp...
ver más
|
|
|
|
|
|
|
|
|
Luping Zhao, Yawen Shao and Wei Jia
Mach number, as an important index to judge the system performance in wind tunnel tests, its stability determines the quality of the flow field of this wind tunnel and needs to be controlled precisely. Due to the complex process in the wind tunnel test, ...
ver más
|
|
|
|
|
|
|
|
|
Qingyu Zhu, Qingkai Han, Jinguo Liu and Changshuai Yu
In this paper, a finite element model updating (FEMU) method is proposed based on the response surface model (RSM) and genetic algorithm (GA) to establish a high-precision finite element (FE) model of space station scientific experiment racks. First, the...
ver más
|
|
|
|
|
|
|
|
|
Hongxiang Wang, Yinchu Ma, Fengtian Hong, Huan Yang, Lintong Huang, Xuyang Jiao and Wenxian Guo
River water and sand conditions are important factors affecting river morphology, biogeochemical processes and ecosystems. However, climate change and long-term human activities have changed the water?sediment conditions of rivers. This study combines th...
ver más
|
|
|
|
|
|
|
|
|
Yanjun Zhang, Shancheng Cao, Bintuan Wang and Zhiping Yin
High-precision operational flight loads are essential for monitoring fatigue of individual aircraft and are usually determined by flight parameters. To tackle the nonlinear relationship between flight loads and flight parameters for more accurate predict...
ver más
|
|
|
|