Linfang Qian
Nanjing University of Science and Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Linfang Qian.
Journal of Thermal Stresses | 2016
J. W. Fu; Zengtao Chen; Linfang Qian; Y. D. Xu
ABSTRACT The thermoelastic problem of a transversely isotropic hollow cylinder containing a circumferential crack is investigated in the present article based on the non-Fourier heat conduction theory. The temperature and stress fields are obtained by solving the coupled partial differential equations in the Laplace domain, and corresponding thermal axial stress with minus sign is then applied to the crack surface to form a mode I crack problem. Three different kinds of crack are considered, and the singular integral equation method is adopted to solve the fracture problem. Finally, with the definition of stress intensity factor, the effect of material properties, coupling parameter, and crack geometry on the hyperbolic thermal fracture responses of a transversely isotropic hollow cylinder excited by a thermal loading is visualized.
international conference on advanced intelligent mechatronics | 2015
Jia Ma; Linfang Qian; Guangsong Chen
Parameter estimation plays a key role in describing a dynamical system behavior accurately. Thus, the inverse problems to identify the parameter values which characterize the dynamical system have attracted much attention from the engineering field in recent years. The Lankarani-Nikravesh (L-N) contact force model, which is proven to be more consistent with the physics of contact, is employed to describe the contact process in this paper. Based on the Taylor series and exponentially weighted recursive least squares (EWRLS) estimation method, a new modified linear method is proposed to identify the dynamical parameters of the L-N contact force model. Some simulation examples are presented to evaluate the convergence sensitivity of the modified method and the existing Haddadi method to parameter initial conditions.
International Journal of Computational Methods | 2016
Jia Ma; Linfang Qian; Guangsong Chen
Current contact force models are expected to be used under different environments where the dynamical parameter estimation becomes an important issue especially for complex contact situations. In recent years, a significant amount of research has been carried out in relation to the nonlinear inverse problems, which can be generally divided into two methods: one is the linear one and the other can be called the nonlinear one. In this paper, both methods are presented and compared. The linear method is based on the Taylor series and Exponentially Weighted Recursive Least Squares (EWRLS) estimation method, whereas the core of the nonlinear one is the unscented Kalman filter (UKF) algorithm which need not linearization and can reach the 2nd order (Taylor series expansion) accuracy for any nonlinearity. The Lankarani-Nikravesh (L-N) contact force model is employed to quantify the contact effect since it is proven to be more consistent with the physics of contact. Some simulation examples are employed to evaluate the convergence sensitivity of these two methods to parameter initial conditions. And the comparisons under the same simulation condition between the linear and nonlinear methods indicate that the nonlinear one is more robust and can converge faster than the linear one.
Mechanism and Machine Theory | 2015
Jia Ma; Linfang Qian; Guangsong Chen; Miao Li
International Journal of Thermal Sciences | 2016
J.W. Fu; A.H. Akbarzadeh; Zengtao Chen; Linfang Qian; Damiano Pasini
Composite Structures | 2015
J.W. Fu; Z.T. Chen; Linfang Qian
Acta Mechanica | 2014
Jiawei Fu; A.H. Akbarzadeh; Zengtao Chen; Linfang Qian
The 6th International Conference on Computational Methods (ICCM2015) | 2015
Jia Ma; Linfang Qian; Guangsong Chen
international conference on mechatronics and automation | 2018
Lei Ji; Linfang Qian; Jin Huang; Guangsong Chen; Yicheng Zhu
international conference on mechatronics and automation | 2018
Yicheng Zhu; Linfang Qian; Guangsong Chen; Lei Ji