Full Text

Turn on search term navigation

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This study developed a new cross-platform instrument for microstructure turbulence measurement (CPMTM) and evaluated its performance. The CPMTM is designed as an “all-in-one” payload that can be easily integrated with a variety of marine instrumentation platforms. The sensors in the CPMTM include two shear probes, a fast-response temperature probe, and an accelerometer for monitoring vibrations. In addition, a custom-designed flexible connection vibration-damping device is used to isolate platform vibrations. To validate the CPMTM performance, a direct comparison was carried out with a reference acoustic Doppler velocimeter in a controlled flume for four background turbulence levels. The results of the comparison show that the velocity spectra measured by the CPMTM and ADV w components are in agreement, which demonstrates the ability of the CPMTM to acquire accurate turbulence data. Furthermore, the CPMTM was integrated into the long-range Sea-Whale 2000 AUV and tested in the northern South China Sea in September 2020. The data collected by the CPMTM show that the measured shear spectrum of the noise reduction agrees well with the empirical Nasmyth spectrum. Turbulent kinetic energy dissipation rates as low as 7 × 10−10 W kg−1 can be resolved. Laboratory and field experiments illustrate that the CPMTM has an extraordinarily low noise level and is validated for turbulence measurements.

Details

Title
A New Cross-Platform Instrument for Microstructure Turbulence Measurements
Author
Nie, Yunli 1 ; Yang, Hua 2 ; Song, Dalei 3 ; Huang, Yan 4 ; Liu, Xiuyan 5 ; Hui, Xianghua 2 

 College of Information Science and Engineering, Ocean University of China, No. 238 Songling Rd., Qingdao 266100, China; [email protected] (Y.N.); [email protected] (X.H.); College of Ocean Science and Engineering, Shandong University of Science and Technology, No. 579 Qianwangang Rd., Qingdao 266590, China 
 College of Information Science and Engineering, Ocean University of China, No. 238 Songling Rd., Qingdao 266100, China; [email protected] (Y.N.); [email protected] (X.H.) 
 College of Engineering, Ocean University of China, No. 238 Songling Rd., Qingdao 266100, China; [email protected] 
 Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang 110016, China; [email protected] 
 School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China; [email protected] 
First page
1051
Publication year
2021
Publication date
2021
Publisher
MDPI AG
e-ISSN
20771312
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2585283970
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.