Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Journal of Guidance, Control, and Dynamics, Ahead of Print.

The article presents a multiaxial fatigue criterion in the frequency domain. The criterion uses the power spectral density of the hydrostatic stress, the stress consistent with the von Mises criterion and determines the equivalent power spectral density as the sum of these quantities for further use in fatigue analyses. The methodology for deriving the criterion weights in two cases of determining

Journal of Guidance, Control, and Dynamics, Ahead of Print.

Interfacial debonding defects in rectangular steel–concrete composite structures (RSCCS) can significantly diminish the confinement effect of the steel on the concrete core and reduce load transfer efficiency, potentially impacting the overall performance of the structure. Detection of these defects in RSCCS is therefore considered critical. This study investigates the complexities of stress wave propagation

This paper explores the application of tri-stable energy harvesting technology in tire rotation and proposes an innovative approach of optimizing the output of energy harvester by adjusting the centrifugal distance of the magnet at the free end of a cantilever beam. By leveraging the tunable linear stiffness in the electromechanical coupling equations of the rotating tri-stable state, this study derives

This research introduces an innovative method for real-time monitoring thin film growth and surface roughness using a single mode optical fiber without any additional treatment. The cleaved end of the fiber was installed within the deposition chamber, allowing the thin film to be deposited directly onto the fiber tip. During the deposition process, a Fabry-Pérot interferometer was formed with its cavity

The existing reconstruction methods for dam monitoring data have the problems of being unable to reconstruct in the non-complete dataset and the reconstruction accuracy is not high enough. Therefore, this paper proposes the dam monitoring data reconstruction method (DSVD) to realize the accurate reconstruction of dam monitoring data in non-complete datasets. The method first adopts the sorting method

The aerostatic bearing-rotor system plays a critical role in ensuring the stable operation of high-speed, high-precision rotating machinery. Despite its importance, the system is often affected by nonlinear sub-synchronous vibration instabilities, which limit its performance and development. To address this issue, this study proposes a novel tangentially supplied (TS) bearing. Modified gas lubrication

Ultrasonic sensing, for instance for damage or fouling detection, is commonly carried out using rigid transducer collars, carefully placed for monitoring a well-defined local area of a structure. A distributed sensing network consisting of individually placed transducers offers significant opportunities for monitoring larger areas or more complex geometries. For analyzing the signals of such a distributed

Gear wear is an inevitable consequence of friction and load during operation. However, the nonlinear and non-stationary nature of the vibration signals under variable speed conditions and their complex interaction with gear wear make it extremely challenging to extract wear-related features from them. Since the gear wear area visually indicates the severity of wear under varying speed conditions, we

Enhancing anomaly detection performance is essential for effective gas turbine condition monitoring and health maintenance. However, in industrial applications, gas turbine operating conditions frequently change, and fault data are scarce or even unavailable. Therefore, identifying anomalies in unknown conditions with training based only on normal data is challenging. Inspired by human communication