Phase Space Reconstruction Based Real Time Fatigue Crack Growth Estimation for Structural Health Monitoring Ships

Bhange, Prasannata and Kumar Joshi, Deepak and Acharyya, Amit and et al, . (2022) Phase Space Reconstruction Based Real Time Fatigue Crack Growth Estimation for Structural Health Monitoring Ships. In: 13th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2022, 1 March 2022 through 4 March 2022, Santiago.

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Abstract

A real time estimation of crack growth rate oc-curring in a high strength low alloy DMR 249A steel in an in-situ acoustic emission monitoring setup for fatigue crack propagation was done. This investigation was carried out for structural health monitoring of ships where compact tension specimen was subjected to real sea state condition with sea state value of 4. The work focuses on building a relationship between crack growth rate and acoustic emission signal acquired from acoustic emission sensors. A methodology which could predict the degradation occurring in ship steel when subjected to fatigue load was developed. In this regard, a phase space reconstruction based methodology has been introduced which could predict the crack growth rate in this material with an accuracy of 95%. © 2022 IEEE.

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IITH Creators:
IITH CreatorsORCiD
Acharyya, Amithttp://orcid.org/0000-0002-5636-0676
Item Type: Conference or Workshop Item (Paper)
Additional Information: ACKNOWLEDGMENT We acknowledge the funding received from the Naval Research Board, India, and the Department of Science and Technology SERB IMPRINT for carrying out this study. We sincerely thank Jalaj Kumar from Defense Materials Research Laboratory, Kanchanbagh, Hyderabad, Telangana and Giri R. Gunnu from Tardid Technologies Pvt. Ltd. Bengaluru, Karnataka for providing their inputs from time to time. REFERENCES
Uncontrolled Keywords: Acoustic emission; phase space reconstruction
Subjects: Electrical Engineering
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 15 Oct 2022 07:49
Last Modified: 15 Oct 2022 07:49
URI: http://raiith.iith.ac.in/id/eprint/10961
Publisher URL: http://doi.org/10.1109/LASCAS53948.2022.9789050
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