Probabilistic description of extreme oscillations and reliability analysis in rolling motion under stochastic excitation DOI
Dan Zhao, Yongge Li, Yong Xu

et al.

Science China Technological Sciences, Journal Year: 2023, Volume and Issue: 66(9), P. 2586 - 2596

Published: Aug. 21, 2023

Language: Английский

Active vibration control of fluid-conveying pipelines: Theoretical and experimental studies DOI
Yu Zhang, Wei Sun, Hui Zhang

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 270, P. 109106 - 109106

Published: Feb. 14, 2024

Language: Английский

Citations

25

A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling DOI

Xiao-Kai An,

Lin Du, Feng Jiang

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2024, Volume and Issue: 34(7)

Published: July 1, 2024

Neural networks are popular data-driven modeling tools that come with high data collection costs. This paper proposes a residual-based multipeaks adaptive sampling (RMAS) algorithm, which can reduce the demand for large number of samples in identification stochastic dynamical systems. Compared to classical algorithms, RMAS algorithm achieves higher system accuracy without relying on any hyperparameters. Subsequently, combining and neural network, few-shot (FSI) method systems is proposed, applied vegetation biomass change model Rayleigh–Van der Pol impact vibration model. We show modifies algorithms and, particular, reduces error by 76% same sample sizes. Moreover, surrogate accurately predicts first escape probability density function P bifurcation behavior systems, less than 1.59×10−2. Finally, robustness FSI validated.

Language: Английский

Citations

16

Development and Prospect of Smart Materials and Structures for Aerospace Sensing Systems and Applications DOI Creative Commons
Wenjie Wang,

Yue Xiang,

Jingfeng Yu

et al.

Sensors, Journal Year: 2023, Volume and Issue: 23(3), P. 1545 - 1545

Published: Jan. 31, 2023

The rapid development of the aviation industry has put forward higher and requirements for material properties, research on smart structure also received widespread attention. Smart materials (e.g., piezoelectric materials, shape memory giant magnetostrictive materials) have unique physical properties excellent integration they perform well as sensors or actuators in industry, providing a solid foundation various intelligent applications industry. As popular material, large number application structural health monitoring, energy harvest, vibration noise control, damage other fields. with deformation ability, their own outstanding performance field low-shock release, impact absorption. At same time, to assist structures, it important fields sealing connection self-healing. Giant is representative advanced which advantages guided wave directions. In addition, themselves high-resolution output, there are many studies direction high-precision actuators. Some summarized discussed above directions, aiming at reference initial follow-up related research.

Language: Английский

Citations

36

Nonlinear primary resonance behavior of graphene platelet-reinforced metal foams conical shells under axial motion DOI

Hao-Xuan Ding,

Gui-Lin She

Nonlinear Dynamics, Journal Year: 2023, Volume and Issue: 111(15), P. 13723 - 13752

Published: May 30, 2023

Language: Английский

Citations

23

Shimmy dynamics in a dual-wheel nose landing gear with freeplay under stochastic wind disturbances DOI
Xiaolei Du, Yong Xu, Qi Liu

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(4), P. 2477 - 2499

Published: Jan. 2, 2024

Language: Английский

Citations

9

Inverse stochastic resonance in a two-dimensional airfoil system with nonlinear pitching stiffness driven by Lévy noise DOI
Jinjie Zhu, Xianbin Liu

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

The aircraft can experience complex environments during the flight. For random actions, traditional Gaussian white noise assumption may not be sufficient to depict realistic stochastic loads on wing structures. Considering fluctuations with extreme conditions, Lévy is a better candidate describing dynamical behaviors airfoil models. In this paper, we investigated classical two-dimensional model nonlinear pitching stiffness subjected noise. deterministic case, coefficients reshape bistable region, which influences size of large limit cycle oscillations before flutter speed. introduction additive induce significant inverse resonance phenomena when basin attraction stable much smaller than that fixed point. distribution parameters exhibit distinct impacts curves. Our results shed some light design and control process

Language: Английский

Citations

1

Data-driven joint noise reduction strategy for flutter boundary prediction DOI
Haoxuan Yan, Yong Xu, Qi Liu

et al.

The European Physical Journal Special Topics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

Citations

1

An electromechanical arm model controlled by artificial muscles DOI
Yitong Guo, Jun Ma

Science China Technological Sciences, Journal Year: 2025, Volume and Issue: 68(4)

Published: March 5, 2025

Language: Английский

Citations

1

Deep learning framework for solving Fokker–Planck equations with low-rank separation representation DOI
Hao Zhang,

Yong Xu,

Qi Liu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 121, P. 106036 - 106036

Published: March 1, 2023

Language: Английский

Citations

18

Approximate global mode method for flutter analysis of folding wings DOI

Kaiyuan Tian,

Yilong Wang,

Dengqing Cao

et al.

International Journal of Mechanical Sciences, Journal Year: 2023, Volume and Issue: 265, P. 108902 - 108902

Published: Dec. 1, 2023

Language: Английский

Citations

18