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Damage Imaging Identification of Honeycomb Sandwich Structures Based on Lamb Waves
Chenhui Su1, Wenchao Zhang1, Lihua Liang1
1Shandong Key Laboratory of Intelligent Buildings Technology, School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
Materials (Basel, Switzerland)
|July 14, 2023
Summary
This study introduces a novel damage detection method for honeycomb sandwich structures using Lamb Wave Tomography. The technique effectively identifies structural damage by analyzing signal changes, offering a feasible solution for structural health monitoring.
Area of Science:
- Materials Science
- Mechanical Engineering
- Non-destructive Testing
Background:
- Lamb Wave (LW) is a crucial technique in structural health monitoring (SHM) due to its wide detection range and high sensitivity.
- Honeycomb sandwich structures are increasingly used in aerospace and automotive industries, necessitating effective SHM methods.
- Existing LW methods often require complex analysis of wave propagation and material properties.
Purpose of the Study:
- To propose a new damage detection method for honeycomb sandwich structures.
- To utilize Lamb Wave Tomography combined with frequency spectrum analysis for damage identification.
- To develop a method that simplifies damage detection without complex wave propagation or material modeling.
Main Methods:
- A novel damage detection approach was developed for honeycomb sandwich structures.
- Lamb Wave signals were simulated and experimentally acquired from undamaged and damaged plates.
- Lamb Wave Tomography was employed to compare signal differences and calculate damage indexes.
Main Results:
- The method successfully analyzed signal differences before and after damage to identify damage locations.
- Damage indexes were calculated, and the probability of damage along sensor paths was analyzed.
- A damage image was generated, demonstrating the method's capability to visualize damage.
- Localization errors in both simulations and experiments met detection requirements.
Conclusions:
- The proposed method offers a feasible and effective approach for damage detection in honeycomb sandwich structures.
- This technique simplifies SHM by avoiding complex Lamb Wave propagation analysis and material modeling.
- The successful experimental validation confirms the practical applicability of the developed damage detection method.
