Applications of Underwater Acoustics in Ocean Engineering

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Ocean Engineering".

Deadline for manuscript submissions: 25 August 2024 | Viewed by 1395

Special Issue Editor


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Guest Editor
School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, China
Interests: modeling, prediction, and application of moving targets acoustic characteristics in the marine environment; acoustic scattering; acoustic detection

Special Issue Information

Dear Colleagues,

With the interdisciplinary integration of materials, machinery, mechanics, optics, and other disciplines, the application of acoustics in marine engineering fields, such as underwater communication, positioning, detection, and rescue, is becoming more widespread. Additionally, with the development of unmanned underwater platforms, higher requirements have been put forward for underwater acoustic technology, providing a stage for the display and application of these new technologies. This Special Issue focuses on the latest developments in advanced acoustic technology that can be used in ocean engineering. It also provides a platform for interdisciplinary communication and integration. Topics of interest include, but are not limited to:

  • Underwater acoustic communication;
  • Underwater acoustic positioning;
  • Underwater target detection;
  • Acoustic remote sensing;
  • Ultrasonic flaw detection;
  • Underwater acoustic array.

Dr. Bin Wang
Guest Editor

Manuscript Submission Information

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Published Papers (2 papers)

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Research

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18 pages, 5117 KiB  
Article
Accurate Identification for CW Direct Signal in Underwater Acoustic Ranging
by Jing Li, Jin Fu and Nan Zou
J. Mar. Sci. Eng. 2024, 12(3), 454; https://doi.org/10.3390/jmse12030454 - 05 Mar 2024
Viewed by 616
Abstract
The underwater channel is bilateral, heterogeneous, uncertain, and exhibits multipath transmission, sound line curvature, etc. These properties complicate the structure of the received pulse, causing great challenges in direct signal identification for ranging purposes and impacts on back-end data processing, even accurate acoustic [...] Read more.
The underwater channel is bilateral, heterogeneous, uncertain, and exhibits multipath transmission, sound line curvature, etc. These properties complicate the structure of the received pulse, causing great challenges in direct signal identification for ranging purposes and impacts on back-end data processing, even accurate acoustic positioning. Machine learning (ML) combined with underwater acoustics has emerged as a prominent area of research in recent years. From a statistical perspective, ML can be viewed as an optimization strategy. Nevertheless, the existing ML-based direct-signal discrimination approaches rely on independent assessment, utilizing a single sensor (beacon or buoy), which is still insufficient for adapting to the complex underwater environment. Thus, discrimination accuracy decreases. To address the above issues, an accurate CW direct signal detection approach is performed using the decision tree algorithm, which belongs to ML. Initially, the pulse parameter characteristics in the underwater multipath channel are investigated and the parameter models are built. Then, based on multi-sensor localization performance feedback, fusion characteristics for diverse pulse are created. Next, the pulse parameter characteristics are preprocessed to mitigate the impact of varying magnitudes and units of magnitude on data processing. Then, the decision tree is built to obtain the desired output results and realize accurate recognition of the ranging direct signals. Finally, the feasibility and reliability of this paper’s method are verified by computer simulation and field testing. Full article
(This article belongs to the Special Issue Applications of Underwater Acoustics in Ocean Engineering)
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Review

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24 pages, 1450 KiB  
Review
Roadmap for Recommended Guidelines of Leak Detection of Subsea Pipelines
by Ahmed Reda, Ramy Magdy A. Mahmoud, Mohamed A. Shahin, Chiemela Victor Amaechi and Ibrahim A. Sultan
J. Mar. Sci. Eng. 2024, 12(4), 675; https://doi.org/10.3390/jmse12040675 - 18 Apr 2024
Viewed by 464
Abstract
The leak of hydrocarbon-carrying pipelines represents a serious incident, and if it is in a gas line, the economic exposure would be significant due to the high cost of lost or deferred hydrocarbon production. In addition, the leakage of hydrocarbon could pose risks [...] Read more.
The leak of hydrocarbon-carrying pipelines represents a serious incident, and if it is in a gas line, the economic exposure would be significant due to the high cost of lost or deferred hydrocarbon production. In addition, the leakage of hydrocarbon could pose risks to human life, have an impact on the environment, and could cause an image loss for the operating company. Pipelines are designed to operate at full capacity under steady-state flow conditions. Normal operations may involve day-to-day transients such as the operations of pumps, valves, and changes in production/delivery rates. The basic leak detection problem is to distinguish between the normal operational transients and the occurrence of non-typical process conditions that would indicate a leak. To date, the industry has concentrated on a single-phase flow, primarily of oil, gas, and ethylene. The application of a leak-monitoring system to a particular pipeline system depends on environmental issues, regulatory imperatives, loss prevention of the operating company, and safety policy rather than pipe size and configuration. This paper provides a review of the recommended guidance for leak detection of subsea pipelines in the context of pipeline integrity management. The paper also presents a review of the capability and application of various leak detection techniques that can be used to offer a roadmap to potential users of the leak detection systems. Full article
(This article belongs to the Special Issue Applications of Underwater Acoustics in Ocean Engineering)
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