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- 저자 : Jinxin Yao (검색결과 3 건)
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Jinxin Yao,Xingfu Lu,Fengxian Qiu 서울시립대학교 도시과학연구원 2022 도시과학국제저널 Vol.26 No.4
China’s migrant workers, the majority of whom are residents of rural China, have poured in to urban centres. Despite this influx, migrant workers have not integrated into urban society; rather, rural migrant life in cities is characterized by residential segregation and widespread social exclusion. This study explores the effect of residential segregation on the employment stability of China’s migrant population and investigates the intergenerational differences in this effect. Data were obtained from China’s 2014 special investigation on the social interactions and mental health of migrant workers and covered 6,805 and 3,237 people from the new generation (born in 1980 or later) and first-generation (born before 1980) migrant populations, respectively. Propensity score matching was employed to match those living in and outside of residentially segregated areas. Residential segregation had a significant adverse effect on the total sample’s employment stability. The negative effect of residential segregation on employment stability among the first-generation migrant population was found to be nonsignificant, but was significant for the new generation of migrants.
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Parameter identification of ship motion mathematical model based on full-scale trial data
Meng Yao,Zhang Xiufeng,Zhu Jinxin 대한조선학회 2022 International Journal of Naval Architecture and Oc Vol.14 No.1
Using the full-scale trial data of vessel YUKUN, a parameter identification scheme, Support Vector Regression (SVR) combined with modified grey wolf optimizer (MGWO), is proposed for identifying ship motion model. This study establishes response mathematical model and 4 Degrees of Freedom (DOF) nonlinear whole-ship mathematical model of vessel YUKUN. The full-scale trial data of vessel YUKUN are processed and analyzed. In the study of grey box identification modeling, the rough parameters reference values of ship response mathematical model and nonlinear whole-ship mathematical model are obtained by SVR. Based on these rough reference values, the MGWO algorithm and Firefly Algorithm are used to further optimize them to obtain final parameter identification values. The final parameter identification values obtained by the three algorithms and recursive least squares with forgetting factor are substituted into the mathematical model to obtain the prediction results of ship motion state. The final prediction results of ship motion state show that the MGWO algorithm has strong search and optimization ability. In the case that the reference values obtained by SVR are not accurate, MGWO algorithm can be used to find accurate parameters of ship motion mathematical model in a given range. The proposed scheme provides a reference for the parameter identification of ship motion mathematical model.
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Optimal design for torsional vibration suppression of non-smooth NES
Yanbo Cao,Hongliang Yao,Jinxin Dou,Shengdong Han 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.11
Nonlinear energy sinks (NESs) have received increasing attention for their ability to passively inhibit a large amount of vibration energy over a wide range of frequencies. However, although many studies have focused on dynamics of NES, few have addressed the optimal design method of NES, especially for the non-smooth NES (NSNES). Therefore, the parameter optimization method for an NSNES which can be applied to supress torsional vibration of rotor system was developed. First, the design variables were reduced by using piecewise linear torsional stiffness to equivalently fit cubic torsional stiffness; then, taking the torsional vibration of single-disk rotor system as an example, the genetic algorithm (GA) was used to solve the optimization problem of the NSNES in torsional vibration suppression of rotor system. Finally, the optimized NSNES was verified by numerical simulation and experiment to suppress the torsional vibration of a rotor system. The results show that the optimally designed NSNES can effectively suppress torsional vibration of a rotor system. In transient vibration suppression, the optimal percentage of accumulated energy dissipation of NSNES can reach 95.3 %. For steady-state vibration suppression, the peak vibration suppression of NSNES can reach 82.2 % in the simulation and 81.9 % in the test.
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