Experimental and finite element research was conducted on the bolted interference fit of a single-lap laminated structure to reveal the damage propagation mechanism and strength change law. A typical single-lap static...Experimental and finite element research was conducted on the bolted interference fit of a single-lap laminated structure to reveal the damage propagation mechanism and strength change law. A typical single-lap statically loading experiment was performed, and a finite element damage prediction model was built based on intralaminar progress damage theory. The model was programmed with a user subroutine and an interlaminar cohesive zone method. The deformation and damage propagation of the specimen were analyzed, and the failure mechanism of intralaminar and interlaminar damage during loading was discussed. The effect of secondary bending moment on load translation and damage distribution was revealed. The experimental and simulated load–displacement curves were compared to validate the developed model’s reliability, and the ultimate bearing strengths under different fit percentages were predicted. An optimal percentage was also recommended.展开更多
Fixed-interval smoothing,as one of the most important types of state estimation,has been concerned in many practical problems especially in the analysis of flight test data.However,the existing sequential filters and ...Fixed-interval smoothing,as one of the most important types of state estimation,has been concerned in many practical problems especially in the analysis of flight test data.However,the existing sequential filters and smoothers usually cannot deal with nonlinear or high-dimensional systems well.A state-of-the-art technique is employed in this study to explore the fixed-interval smoothing problem of a conceptual two-dimensional airfoil model in incompressible flow from noisy measurement data.Therein,the governing equations of the airfoil model are assumed to be known or only partially known.A single objective optimization problem is constructed with the classical Runge–Kutta scheme,and then estimations of the system states,the measurement noise and even the unknown parameters are obtained simultaneously through minimizing the objective function.Effectiveness and feasibility of the method are examined under several simulated measurement data corrupted by different measurement noises.All the obtained results indicate that the introduced algorithm is applicable for the airfoil model with cubic or free-play structural nonlinearity and leads to accurate state and parameter estimations.Besides,it is highly robust to Gaussian white and even more complex heavy-tailed measurement noises.It should be emphasized that the employed algorithm is still effective to high-dimensional nonlinear aeroelastic systems.展开更多
基金This work was supported by the Aviation Science Foundation of China(Grant No.2018ZE23011)the National Natural Science Foundation of China(Grant No.51275410).
文摘Experimental and finite element research was conducted on the bolted interference fit of a single-lap laminated structure to reveal the damage propagation mechanism and strength change law. A typical single-lap statically loading experiment was performed, and a finite element damage prediction model was built based on intralaminar progress damage theory. The model was programmed with a user subroutine and an interlaminar cohesive zone method. The deformation and damage propagation of the specimen were analyzed, and the failure mechanism of intralaminar and interlaminar damage during loading was discussed. The effect of secondary bending moment on load translation and damage distribution was revealed. The experimental and simulated load–displacement curves were compared to validate the developed model’s reliability, and the ultimate bearing strengths under different fit percentages were predicted. An optimal percentage was also recommended.
基金supported by the National Natural Sciencs Fundation of China(Grants 12072264.11772255)the Fundamental Research Funds for the Central Universities,the National Key Research and Development Program of China(Grant 2018AAA0102201)+2 种基金the Research Funds for Interdisciplinary Subject of Northwestern Polytechnical University,the Shaanxi Project for Distinguished Young Scholars,the Shaanxi Provincial Key R&D Program(Grants 2O2OKW-013.2019TD-010)the Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University(Grant CX201962)J.K.was sup ported by the Russian Ministry of Science and Education Agreement(Grant 075-15-2020-808).
文摘Fixed-interval smoothing,as one of the most important types of state estimation,has been concerned in many practical problems especially in the analysis of flight test data.However,the existing sequential filters and smoothers usually cannot deal with nonlinear or high-dimensional systems well.A state-of-the-art technique is employed in this study to explore the fixed-interval smoothing problem of a conceptual two-dimensional airfoil model in incompressible flow from noisy measurement data.Therein,the governing equations of the airfoil model are assumed to be known or only partially known.A single objective optimization problem is constructed with the classical Runge–Kutta scheme,and then estimations of the system states,the measurement noise and even the unknown parameters are obtained simultaneously through minimizing the objective function.Effectiveness and feasibility of the method are examined under several simulated measurement data corrupted by different measurement noises.All the obtained results indicate that the introduced algorithm is applicable for the airfoil model with cubic or free-play structural nonlinearity and leads to accurate state and parameter estimations.Besides,it is highly robust to Gaussian white and even more complex heavy-tailed measurement noises.It should be emphasized that the employed algorithm is still effective to high-dimensional nonlinear aeroelastic systems.