Computational Ocean Acoustics by Finn B. Jensen, William A. Kuperman, Michael B. Porter,

By Finn B. Jensen, William A. Kuperman, Michael B. Porter, Henrik Schmidt

Since the mid-1970s, the pc has performed an more and more pivotal position within the box of ocean acoustics. speedier and cheaper than genuine ocean experiments, and able to accommodating the entire complexity of the acoustic challenge, numerical versions are actually general study instruments in ocean laboratories.

The development made in computational ocean acoustics during the last thirty years is summed up during this authoritative and innovatively illustrated new textual content. Written by way of the various field's pioneers, all Fellows of the Acoustical Society of the United States, Computational Ocean Acoustics provides the most recent numerical options for fixing the wave equation in heterogeneous fluid–solid media. The authors talk about a number of computational schemes intimately, emphasizing the significance of theoretical foundations that lead on to numerical implementations for actual ocean environments. To extra make clear the presentation, the basic propagation beneficial properties of the recommendations are illustrated in color.

Computational Ocean Acoustics conveys the cutting-edge of numerical modeling options for graduate and undergraduate scholars of acoustics, geology and geophysics, utilized arithmetic, and ocean engineering. it's also a necessary addition to the libraries of ocean examine associations that use propagation models.

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Computational Ocean Acoustics

Because the mid-1970s, the pc has performed an more and more pivotal position within the box of ocean acoustics. speedier and cheaper than real ocean experiments, and in a position to accommodating the entire complexity of the acoustic challenge, numerical types at the moment are normal study instruments in ocean laboratories.

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10. 1840 – In the case of the North Atlantic profile, we need to generalize the above formula to a four-layer system. 1. 34) we find RCZ D 65:9 km, which is very close to the actual convergence-zone range of 65 km estimated from the transmission-loss result shown in Fig. 10b. 1964 – SD = 500 m Fig. 12 Deep-sound-channel propagation in the Norwegian Sea. 2 km, which is within 2 km of the range estimated from a full transmission-loss plot. 3 Deep-Sound-Channel Propagation Propagation in the deep sound channel, also referred to as the SOFAR channel, was originally investigated by Ewing and Worzel [24] during World War II.

6. Note the excellent agreement between theory and experiment for this complicated acoustic situation. Moreover, we see that the effect of the lateral change in sound-speed structure causes an increase in transmission loss of nearly 30 dB in the range interval 12–28 km. The high-intensity region near 30 km is due to a convergence-zone path. 4 Sound Propagation in the Ocean 33 Fig. 18 Sound propagation through an oceanic front in the Mediterranean. (a) Range-dependent sound speed structure and associated ray diagram showing trapping of sound in the surface duct out to a distance of 12 km from the source.

There are several interesting observations to be made here. , a lower porosity results in a higher density and higher wave speeds. Next, the shear speeds in unconsolidated sediments (clay, silt, sand, gravel, and moraine) are quite low but increase rapidly with depth zQ below the water–bottom interface. Hence, shear speeds in sediments are most appropriately given in terms of their depth dependence. Wave attenuations ˛ are generally given in units of dB per wavelength indicating that the attenuation increases linearly with frequency.

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