Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Xianrong QIN"'
Publikováno v:
Sensors, Vol 24, Iss 23, p 7575 (2024)
Real-time monitoring and early warning of structures are essential for assessing structural health and ensuring safety maintenance. To improve the timeliness of early warnings for structural abnormal states in quayside container cranes (QCCs) with in
Externí odkaz:
https://doaj.org/article/5d894260ca6c4ea8a00743df9d96c1de
Publikováno v:
Journal of Low Frequency Noise, Vibration and Active Control, Vol 39 (2020)
The maximum wind load direction of tower crane is considered to be perpendicular to its jib. The interference effects of its different segments and across-wind loads are ignored in traditional crane safety evaluation. This study proposes a general sc
Externí odkaz:
https://doaj.org/article/95b20a6efce94545a397cca53b1a18b4
Publikováno v:
Shock and Vibration, Vol 2016 (2016)
The dynamic efficiency of hoisting transmission system on a container crane is fundamental for accurate efficiency prediction, while the dynamic efficiency of hoisting transmission system has not been investigated sufficiently. This paper will focus
Externí odkaz:
https://doaj.org/article/a2fa4b61201d4bbd91b75afa13b291f4
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-14
Publikováno v:
Mechanics of Advanced Materials and Structures. 30:2458-2476
Publikováno v:
Journal of Vibration Engineering & Technologies.
Publikováno v:
International Journal of Structural Stability and Dynamics.
In this paper, a new interval finite element model updating method is proposed for interval identification of structural parameters based on meta-model and response surface reconstruction. The lower and upper bounds of the uncertain structural parame
Publikováno v:
Proceedings of the Institution of Civil Engineers - Structures and Buildings. 173:141-156
Tower cranes are usually attached to buildings, which affects the crane's aerodynamic configuration, and therefore the wind loads on the tower crane are changed. In this study, a numerical simulation using computational fluid dynamics was carried out
Publikováno v:
Structural Control and Health Monitoring. 29
Publikováno v:
Structural Health Monitoring. :147592172311688
To accurately diagnose the quayside container crane (QCC) gearbox faults, this article proposes a method that combines the frequency-domain Markov transformation field (FDMTF) and multi-branch residual convolutional neural network (MBRCNN). Firstly,