LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Topological imaging in bounded elastic media

Photo from archive.org

HighlightsTEM is modified for the analysis of scattered acoustic signals in bounded media.The approach relies on a combination of Dirichlet and Neumann boundary conditions.Ultrasonic fields are analyzed through the Green’s… Click to show full abstract

HighlightsTEM is modified for the analysis of scattered acoustic signals in bounded media.The approach relies on a combination of Dirichlet and Neumann boundary conditions.Ultrasonic fields are analyzed through the Green’s function.The method is applied for slit imaging from experimental data. Abstract Detecting, imaging and sizing defects in a bounded elastic medium is still a difficult task, especially when access is complex. Adjoint methods simplify the task as they take advantage of prior information such as the geometry and material properties. However, they still reveal a number of important limitations. Artifacts observed on the conventional topological energy image result from wave interactions with the boundaries of the inspected medium. The paper describes a method for addressing these artifacts, which involves forward and adjoint fields specified in terms of the boundary conditions. Modified topological energies are then defined according to the type of analyzed flaw (open slit or inclusion). Comparison of the numerical results with the experimental data confirms the relevance of the approach.

Keywords: bounded elastic; elastic media; geometry; imaging bounded; topological imaging

Journal Title: Ultrasonics
Year Published: 2017

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.