Title :
Inversion method for bottom parameters estimation by reflection model of effective density fluid approximation
Author :
Yu, Sheng-qi ; Huang, Yi-wang ; Song, Yang ; Fu, Jin-shan
Author_Institution :
Sci. & Technol. on Underwater Acoust. Lab., Harbin Eng. Univ., Harbin, China
Abstract :
In order to obtain physical and geoacoustic properties of seafloor sediments, inversion method is presented with the reflection loss data at different grazing angles, which is derived from the reflection model based on effective density fluid approximation. In estimation of porosity, average grain size, mass density and bulk modulus of grains, genetic algorithm and particle swarm optimization are employed, respectively. Based on the above physical parameters, sound velocity and attenuation can be given. Numerical simulations show that both optimization algorithms have good performance in evaluating parameters with the exception of mean grain size and bulk modulus of grains. While the results inverted by particle swarm optimization are better than that of genetic algorithm in general.
Keywords :
acoustic wave velocity; elastic moduli; genetic algorithms; grain size; inverse problems; oceanographic techniques; particle swarm optimisation; porosity; seafloor phenomena; sediments; underwater sound; average grain size; bottom parameter estimation; bulk grain modulus; effective density fluid approximation; genetic algorithm; geoacoustic properties; grazing angles; inversion method; mass density; mean grain size; numerical simulation; optimization algorithm; particle swarm optimization; physical properties; porosity estimation; reflection loss data; reflection model; seafloor sediments; sound velocity; Biological system modeling; Fluids; Genetic algorithms; Grain size; Particle swarm optimization; Reflection; Sediments; Bottom reflection loss; Effective density fluid approximation; Genetic algorithm; Particle swarm optimization;
Conference_Titel :
Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA), 2011 Symposium on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4673-1075-8
DOI :
10.1109/SPAWDA.2011.6167197