Acoustic inversion method for parameters of sediments based on adaptive predatory genetic algorithm

作者：Li Hongxing^*; Tao Chunhui; Liu Cai; Goloshubin, Gennady; Huang Guangnan; Zhang Hua; Zhang Jin; Zhang Xiaofeng; Nobes, David C.

来源：Journal of the Acoustical Society of America, 2018, 143(1): 141-149.

DOI：10.1121/1.5020272

• IN-SITU
• SHALLOW-WATER
• VELOCITY PROFILES
• WAVE-PROPAGATION
• FREQUENCY RANGE
• ELASTIC WAVES
• POROUS-MEDIA
• BIOT THEORY
• MODEL
• SQUIRT

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.

• 出版日期2018-1
• 单位吉林大学; 国家海洋局第二海洋研究所