声学探测反演海底沉积物物理力学参数研究综述OA

With the rapid advancement of marine resources development and marine engineering construction,the physical and mechanical parameters of seabed sediments,such as density,porosity,shear strength,and compression modulus,have become the core basis for the construction of seabed facilities and the design of underwater equipment.In traditional detection practices,although in-situ detection and laboratory sample testing are widely adopted,they are constrained by limitations including high costs,significant sample disturbance,and low data density.In contrast,acoustic testing technology,which possesses the capabilities of large-range and depth coverage while offering the advantages of minimal disturbance and continuous observation,has provided a novel approach for detecting the physical and mechanical properties of seabed sediments.From the perspective of material composition,there is a close correlation between the physical and mechanical properties of seabed sediments and their acoustic parameters(e.g.,sound velocity,sound attenuation coefficient,and acoustic impedance).Consequently,acoustic-based inversion has emerged as a research focus both domestic and international studies.In this paper,the findings from three mainstream acoustic inversion methodologies(empirical formulas,theoretical models,and data-driven machine learning algorithms)in assessing the physical and mechanical properties of marine sediments were reviewed.The applicability and accuracy of these methods in inverting seafloor sediment parameters using acoustic detection data were compared.Furthermore,the prospective theoretical advances and technological trends in inverting sediment physical-mechanical parameters within the context of geophysical data integration were discussed.