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As mechanical devices in the nano/micro length scale are increasingly employed, it is crucial to understand nanoscale friction and wear especially at technically relevant sliding velocities. Accordingly, a novel technique has been developed…

We study the stationary and nonstationary measurement of a classical force driving a mechanical oscillator coupled to an electromagnetic cavity under two-tone driving. For this purpose, we develop a theoretical framework based on the…

量子物理 · 物理学 2020-11-26 D. N. Bernal-García , H. Vinck-Posada , M. J. Woolley

Embedding the intrinsic symmetry of a flow system in training its machine learning algorithms has become a significant trend in the recent surge of their application in fluid mechanics. This paper leverages the geometric symmetry of a…

流体动力学 · 物理学 2025-06-04 Xuan Dai , Da Xu , Mengqi Zhang , Yantao Yang

Adherent biological cells generate traction forces on a substrate that play a central role for migration, mechanosensing, differentiation, and collective behavior. The established method for quantifying this cell-substrate interaction is…

细胞行为 · 定量生物学 2020-05-05 Yunfei Huang , Gerhard Gompper , Benedikt Sabass

Inertial sensors provide crucial feedback for control systems to determine motional status and make timely, automated decisions. Prior efforts tried to control the output of inertial sensors with acoustic signals. However, their approaches…

密码学与安全 · 计算机科学 2018-09-06 Yazhou Tu , Zhiqiang Lin , Insup Lee , Xiali Hei

In this work, the finite elements method (FEM) is used to analyse the growth of fretting cracks. FEM can be favourably used to extract the stress intensity factors in mixed mode, a typical situation for cracks growing in the vicinity of a…

地球物理 · 物理学 2011-02-24 Henry Proudhon , Stéphanie Basseville

Processes of mixing and segregation in a packed bed of granular material stirred by a periodically moving rectangular bar are simulated by the discrete element method (DEM). Influence of mechanical properties of the particle material…

软凝聚态物质 · 物理学 2007-10-01 A. Dziugys , R. Navakas

Friction drag from a turbulent fluid moving past or inside an object plays a crucial role in domains as diverse as transportation, public utility infrastructure, energy technology, and human health. As a direct measure of the shear-induced…

流体动力学 · 物理学 2023-10-19 Esther Lagemann , Steven L. Brunton , Christian Lagemann

In this work, we show that a recently proposed method for experimental nonlinear modal analysis based on the extended periodic motion concept is well suited to extract modal properties for strongly nonlinear systems (i.e. in the presence of…

系统与控制 · 电气工程与系统科学 2020-11-18 Maren Scheel , Tobias Weigele , Malte Krack

In this article, we present a mathematical model that answers a classical question concerning how much force, which is generally called static friction force, will it require to initiate the motion of a soft solid block such as gel, rubber…

软凝聚态物质 · 物理学 2016-02-03 Vinay A. Juvekar , Arun K. Singh

We devise a method to detect and estimate forces in a heterogeneous environment based on experimentally recorded stochastic trajectories. In particular, we focus on systems modeled by the heterogeneous overdamped Langevin equation. Here,…

Automated drifting presents a challenge problem for vehicle control, requiring models and control algorithms that can precisely handle nonlinear, coupled tire forces at the friction limits. We present a neural network architecture for…

系统与控制 · 电气工程与系统科学 2024-07-19 Nicholas Drake Broadbent , Trey Weber , Daiki Mori , J. Christian Gerdes

This study investigates the interplay between a high-frequency external forcing and the intrinsic dynamics of a quantum nonlinear parametric oscillator. To analyze this system, classical equations of motion of the averages of quantum…

混沌动力学 · 物理学 2025-05-05 Somnath Roy , Chitrak Bhadra , Dhrubajyoti Biswas

Particle segregation is common in natural and industrial processes involving flowing granular materials. Complex, and seemingly contradictory, segregation phenomena have been observed for different boundary conditions and forcing. Using…

软凝聚态物质 · 物理学 2021-09-08 Lu Jing , Julio M. Ottino , Richard M. Lueptow , Paul B. Umbanhowar

Reinforcement learning is applied to the development of control strategies in order to reduce skin friction drag in a fully developed turbulent channel flow at a low Reynolds number. Motivated by the so-called opposition control (Choi et…

流体动力学 · 物理学 2023-04-26 Takahiro Sonoda , Zhuchen Liu , Toshitaka Itoh , Yosuke Hasegawa

Bearing fault diagnosis has been a challenge in the monitoring activities of rotating machinery, and it's receiving more and more attention. The conventional fault diagnosis methods usually extract features from the waveforms or spectrums…

计算机视觉与模式识别 · 计算机科学 2016-02-05 Wei Li , Mingquan Qiu , Zhencai Zhu , Bo Wu , Gongbo Zhou

Identifying the location of a disturbance and its magnitude is an important component for stable operation of power systems. We study the problem of localizing and estimating a disturbance in the interconnected power system. We take a…

机器学习 · 计算机科学 2018-06-06 Hyang-Won Lee , Jianan Zhang , Eytan Modiano

Maximum output powers of vibration-driven inertial power harvesters reported in literature exhibit sizable variations, even when normalized by the device weight or their maximum linear size. To help establish a common benchmark, we present…

其他凝聚态物理 · 物理学 2014-10-20 Akshay Ananthakrishnan , Inna Kozinsky , Igor Bargatin

The electric grid is undergoing a major transition from fossil fuel-based power generation to renewable energy sources, typically interfaced to the grid via power electronics. The future power systems are thus expected to face increased…

系统与控制 · 电气工程与系统科学 2020-07-13 Ognjen Stanojev , Ognjen Kundacina , Uros Markovic , Evangelos Vrettos , Petros Aristidou , Gabriela Hug

This work explores the relationship between wind speed and time-dependent structural motion response as a means of leveraging the rich information visible in flow-structure interactions for anemometry. We build on recent work by Cardona et…

流体动力学 · 物理学 2021-07-22 Jennifer L. Cardona , John O. Dabiri