Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction

Asok Ray

doi:10.1109/ACC.1998.703103

Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction

Asok Ray

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

This paper presents a stochastic dynamic model of fatigue crack propagation in metallic materials which are commonly encountered in mechanical structures and machine components of complex systems (e.g., aircraft, spacecraft, and power plants). The (non-stationary) statistics of the crack growth process are obtained without solving stochastic differential equations in the Wiener integral or Itô integral setting. The crack propagation model thus allows real-time execution of decision algorithms for risk assessment and life prediction on inexpensive platforms such as a Pentium processor. The model predictions are in close agreement with experimental data of fatigue crack statistics for 2024-T3 and 7075-T6 aluminum alloys.

Original language	English (US)
Title of host publication	Proceedings of the 1998 American Control Conference, ACC 1998
Pages	2591-2595
Number of pages	5
DOIs	https://doi.org/10.1109/ACC.1998.703103
State	Published - 1998
Event	1998 American Control Conference, ACC 1998 - Philadelphia, PA, United States Duration: Jun 24 1998 → Jun 26 1998

Publication series

Name	Proceedings of the American Control Conference
Volume	4
ISSN (Print)	0743-1619

Other

Other	1998 American Control Conference, ACC 1998
Country/Territory	United States
City	Philadelphia, PA
Period	6/24/98 → 6/26/98

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.1998.703103

Cite this

@inproceedings{e1e648aac05045e19c89e8603b5e6dc8,

title = "Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction",

abstract = "This paper presents a stochastic dynamic model of fatigue crack propagation in metallic materials which are commonly encountered in mechanical structures and machine components of complex systems (e.g., aircraft, spacecraft, and power plants). The (non-stationary) statistics of the crack growth process are obtained without solving stochastic differential equations in the Wiener integral or It{\^o} integral setting. The crack propagation model thus allows real-time execution of decision algorithms for risk assessment and life prediction on inexpensive platforms such as a Pentium processor. The model predictions are in close agreement with experimental data of fatigue crack statistics for 2024-T3 and 7075-T6 aluminum alloys.",

author = "Asok Ray",

year = "1998",

doi = "10.1109/ACC.1998.703103",

language = "English (US)",

isbn = "0780345304",

series = "Proceedings of the American Control Conference",

pages = "2591--2595",

booktitle = "Proceedings of the 1998 American Control Conference, ACC 1998",

}

Ray, A 1998, Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction. in Proceedings of the 1998 American Control Conference, ACC 1998., 703103, Proceedings of the American Control Conference, vol. 4, pp. 2591-2595, 1998 American Control Conference, ACC 1998, Philadelphia, PA, United States, 6/24/98. https://doi.org/10.1109/ACC.1998.703103

TY - GEN

T1 - Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction

AU - Ray, Asok

PY - 1998

Y1 - 1998

N2 - This paper presents a stochastic dynamic model of fatigue crack propagation in metallic materials which are commonly encountered in mechanical structures and machine components of complex systems (e.g., aircraft, spacecraft, and power plants). The (non-stationary) statistics of the crack growth process are obtained without solving stochastic differential equations in the Wiener integral or Itô integral setting. The crack propagation model thus allows real-time execution of decision algorithms for risk assessment and life prediction on inexpensive platforms such as a Pentium processor. The model predictions are in close agreement with experimental data of fatigue crack statistics for 2024-T3 and 7075-T6 aluminum alloys.

AB - This paper presents a stochastic dynamic model of fatigue crack propagation in metallic materials which are commonly encountered in mechanical structures and machine components of complex systems (e.g., aircraft, spacecraft, and power plants). The (non-stationary) statistics of the crack growth process are obtained without solving stochastic differential equations in the Wiener integral or Itô integral setting. The crack propagation model thus allows real-time execution of decision algorithms for risk assessment and life prediction on inexpensive platforms such as a Pentium processor. The model predictions are in close agreement with experimental data of fatigue crack statistics for 2024-T3 and 7075-T6 aluminum alloys.

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UR - http://www.scopus.com/inward/citedby.url?scp=0040029413&partnerID=8YFLogxK

U2 - 10.1109/ACC.1998.703103

DO - 10.1109/ACC.1998.703103

M3 - Conference contribution

AN - SCOPUS:0040029413

SN - 0780345304

SN - 9780780345300

T3 - Proceedings of the American Control Conference

SP - 2591

EP - 2595

BT - Proceedings of the 1998 American Control Conference, ACC 1998

T2 - 1998 American Control Conference, ACC 1998

Y2 - 24 June 1998 through 26 June 1998

ER -

Stochastic modeling of fatigue crack dynamics for risk analysis and remaining life prediction

Abstract

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