IP Library › Granted Patent US 11,639,915
Granted Patent B2
US 11,639,915 · App. 17/018,327 · Granted May 2, 2023

Identifying structural defect geometric features from acoustic emission waveforms

Inventors: Victor Giurgiutiu (Columbia, SC); Jingjing Bao (West Columbia, SC); Banibrata Poddar (Germantown, MD); Md Yeasin Bhuiyan (West Columbia, SC)
Assignee: University of South Carolina
G01N29/14G01N29/2437G01N29/4454G01N29/46G01N2291/0231G01N2291/0232G01N2291/0258G01N2291/0289G01N2291/2634G01N2291/2693
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Quick Facts
Patent No.
US 11,639,915
App. No.
17/018,327
Granted
May 2, 2023
Kind
B2
Abstract

The current disclosure determines if structural faults exist and extracts geometric features of the structural faults from acoustic emission waveforms, such as crack length and orientation, and can evaluate the structural faults online, during normal operation conditions.

Claims (38)

1. A method for identifying features of a fatigue crack, comprising:

analyzing emission waves from a fatigue crack;

applying external excitation to the fatigue crack;

capturing at least one echo emanating from the fatigue crack caused by the external excitation;

generating at least one secondary emission wave that emanates from the fatigue crack;

analyzing amplitude and frequency of the at least one secondary emission wave; and

establishing an initial fatigue crack fingerprint for the fatigue crack and comparing the initial fatigue crack fingerprint to a subsequent fatigue crack fingerprint to analyze fatigue crack progression.

2. The method of claim 1 , further comprising identifying at least one geometric feature of the fatigue crack from analysis of the at least one secondary emission wave.

3. The method of 2 , further comprising identifying fatigue crack length and crack tip locations as part of the at least one geometric feature.

4. The method of 2 , wherein frequency dependent patterns in polar plots identify the at least one geometric feature of the fatigue crack.

5. The method of claim 1 , further comprising establishing a library of signal signatures paired with fatigue crack geometries.

6. The method of claim 5 , wherein modeling and scanning laser vibrometry are used in association with time signal analysis are used to establish the library of signal signatures.

7. Creating a library of acoustic emission waveforms linked to crack geometric features comprising:

generating structural vibrations in a test material;

generating excitation signals and applying same to the test material;

collecting first acoustic emission signals generated by the test material;

measuring surface vibration and displacement in the test material;

obtaining a frequency response of the test material to the excitation signals;

extracting surface relative displacement to determine multiple candidate frequencies for acoustic wave detection;

exciting the test material with at least one candidate frequency and collecting at least one second acoustic emission signals from the test material;

analyzing the at least one second acoustic emission signal to extract at least one signal signature associated with fatigue crack geometric features; and

forming a library of features wherein the at least one signal signature is associated with fatigue crack geometric features; and

establishing an initial fatigue crack fingerprint for the fatigue crack geometric features and comparing the initial fatigue crack fingerprint to a subsequent fatigue crack fingerprint to analyze fatigue crack progression.

8. The method of claim 7 , wherein the structural vibrations are generated by internal and external excitation sources.

9. The method of claim 8 , wherein the internal excitation is provided by piezoelectric wafer active sensors.

10. The method of claim of 8 , wherein the external excitation is created by a mechanical shaker.

11. The method of claim 7 , further comprising identifying at least one geometric feature of a fatigue crack from analysis of the at least one second acoustic emission.

12. The method of claim 11 , further comprising identifying fatigue crack length and fatigue crack tip locations as part of the at least one geometric feature of the fatigue crack.

13. The method of claim 12 , wherein frequency dependent patterns in polar plots identify geometric features of the fatigue crack.

14. A method for ensuring structural integrity comprising:

receiving acoustic emissions from a structure;

analyzing the acoustic emissions to determine if structural faults exist in the structure; and

wherein when at least one structural fault exists, establishing an initial structural fault fingerprint for the structural fault and comparing the initial structural fault fingerprint to a subsequent structural fault fingerprint to analyze structural fault progression.

15. The method of claim 14 , wherein analyzing the acoustic emissions compares structural vibration resonance frequencies and mode shapes.

16. The method of claim 14 wherein, for structural faults found within the structure, a stress field is created.

17. The method of claim 16 wherein the structural fault is a fatigue crack.

18. The method of claim 17 , further comprising analyzing the stress field around a fatigue crack tip to calculate resonance frequencies related to fatigue crack opening.

19. The method of claim 17 , wherein at least one geometric feature of the fatigue crack located within the structure is revealed by the analysis of the stress field.

Assignments (2)
GOVERNMENT INTEREST AGREEMENT Recorded Dec 10, 2024
From: UNIVERSITY OF SOUTH CAROLINA
To: THE GOVERNMENT OF THE UNITED STATES OF AMERICA AS REPRESENTED BY THE SECRETARY OF THE NAVY
Reel/Frame 069562/0656 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 11, 2020
From: GIURGIUTIU, VICTOR; BAO, JINGJING; PODDAR, BANIBRATA; BHUIYAN, MD YEASIN
To: UNIVERSITY OF SOUTH CAROLINA
Reel/Frame 053747/0776 →
Continuity (4)
Continuation 15919300 · Mar 13, 2018
Provisional Application 62531387 · Jul 12, 2017
Provisional Application 62470553 · Mar 13, 2017
Related Publication 20200408720A1 · Dec 31, 2020
Cited By (2)
US 12,411,485 US 12,524,872