Abstract
Acoustic inversion for the physical parameters of seafloor sediments is an important and difficult aspect of sediment acoustic research. Submarine surface sediments are typical porous media, which involve many parameters. Thus, the optimization of high-dimensional inversion represents one of the difficulties. An acoustic inversion method to obtain the physical parameters of seafloor sediments is constructed based on the adaptive predatory genetic algorithm and effective density fluid model derived from Biot theory. The method introduces the adaptive process and predatory strategy into the genetic algorithm and uses the norm of the relative difference between the predicted wave number and the measured wave number as the objective function. The method is confirmed to be stable and efficient by simulated data and is also applied to invert porosity, tortuosity, and permeability of the sediments in Hangzhou Bay of China using acoustic data measured by an in situ acoustic measurement system.
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