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Inverse modeling and experimental validation for reconstructing wave sources on a 2D solid from surficial
Stephen Lloyd1, Christoph Schaal2, Chanseok Jeong3
1School of Engineering and Technology, Central Michigan University, Mount Pleasant, 48859, MI, USA.
Ultrasonics
|November 11, 2022
Summary
This study presents an effective method to reconstruct wave sources on solid surfaces using vibrational data. The approach accurately identifies moving or stationary loads, even in complex materials.
Area of Science:
- Solid mechanics
- Wave propagation
- Inverse problems
Background:
- Wave source reconstruction is crucial for understanding material behavior and structural integrity.
- Existing methods often struggle with complex, heterogeneous, or damped materials.
- Accurate source identification is vital for structural health monitoring and non-destructive testing.
Purpose of the Study:
- To develop and validate an adjoint-gradient-based source inversion method for reconstructing wave sources on 2D linear elastic solids.
- To reconstruct both temporal and spatial distributions of moving or stationary wave sources.
- To assess the method's effectiveness in heterogeneous, damped, and layered materials.
Main Methods:
- Utilizes an adjoint-gradient-based inversion technique.
- Employs the finite element method (FEM) for high-resolution wave solutions.
- Reconstructs sources using vibrational measurements from surface sensors.
Main Results:
- Successfully reconstructs normal and shear tractions for multiple simultaneous moving dynamic loads.
- Demonstrates effectiveness in heterogeneous, damped, and horizontally layered materials.
- Shows improved accuracy by updating surface nodes and reducing sensor distance.
Conclusions:
- The presented source inversion method is effective for reconstructing wave sources on 2D linear elastic solids.
- The method is robust and performs well in complex material conditions.
- Experimental validation confirms the method's applicability at high frequencies.
Keywords:
Discretize-then-optimize (DTO) approachExperimental validationMoving loadsSmart road/cityWave source inversionWeigh-in-motionMore Related Videos
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