• Title/Summary/Keyword: HYBRL 모델

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Frequency Dependence of High-Frequency Bottom Reflection Loss Model (주파수 종속성을 갖는 고주파 해저면 반사손실 모델)

  • 박순식;윤관섭;나정열;석동우;주진용;조진석
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.5
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    • pp.362-369
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    • 2004
  • The High-frequency (30 ∼ 120 ㎑) bottom reflection loss at rough water-sediment interface is affected by the gram size distribution of the sediments. The roughness of the bottom surface is represented by "acoustical roughness. g/sub R/" The grain size of sandy sediments is g/sub R/∼O(1) and the dependence as a function of frequency. We suggest the modified bottom reflection loss model (HYBRL model , HanYang university Bottom Reflection Loss model) that include in the deviation of the reflection loss as a function of the grain size distribution and frequency dependence. And bottom reflection loss model of frequency dependence and deviation of bottom properties is verified by water tank and field experiments.

Seafloor Classification Using Fuzzy Logic (퍼지 이론을 이용한 해저면 분류 기법)

  • 윤관섭;박순식;나정열;석동우;주진용;조진석
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.4
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    • pp.296-302
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    • 2004
  • Acoustic experiments are performed for a seafloor classification from 19 May to 25 May 2003. The six different sites of bottom composition are settled and the bottom reflection losses with frequencies (30, 50, 80. 100, 120 kHz) are measured. Sediment samples were collected using gravity core and the sample was extracted for grain size analysis. The fuzzy logic is used to classify the seabed. In the fuzzy logic. Bottom 1083 model of frequency dependence is used as the input membership functions and the output membership functions are composed of the Wentworth grain size of the bottom. The possibility of the seafloor classification is verified comparing the inversed mean grain size using fuzzy logic with the results of the coring.