Inverse FORM method for probabilistic fatigue prognosis

Yibing Xiang, Yongming Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Fatigue crack growth is a random process and various uncertainties affect the remaining useful life of engineering materials and structures. A general probabilistic life prediction methodology for accurate and efficient fatigue prognosis is proposed in this paper. The proposed methodology is based-on an inverse first-order reliability method (FORM) to evaluate the fatigue life at an arbitrary reliability level. An efficient searching algorithm for fatigue life prediction is developed and a numerical example is demonstrated. The prediction results are compared with direct Monte Carlo simulation for validation. Various experimental data are collected for model validation. Very good agreements are observed between model predictions and experimental data.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
StatePublished - 2010
Externally publishedYes
Event51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Orlando, FL, United States
Duration: Apr 12 2010Apr 15 2010

Other

Other51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
CountryUnited States
CityOrlando, FL
Period4/12/104/15/10

Fingerprint

Fatigue of materials
Fatigue crack propagation
Random processes
Uncertainty
Monte Carlo simulation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanics of Materials
  • Building and Construction
  • Architecture

Cite this

Xiang, Y., & Liu, Y. (2010). Inverse FORM method for probabilistic fatigue prognosis. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference [2010-2684]

Inverse FORM method for probabilistic fatigue prognosis. / Xiang, Yibing; Liu, Yongming.

Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2010. 2010-2684.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xiang, Y & Liu, Y 2010, Inverse FORM method for probabilistic fatigue prognosis. in Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference., 2010-2684, 51st AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Orlando, FL, United States, 4/12/10.
Xiang Y, Liu Y. Inverse FORM method for probabilistic fatigue prognosis. In Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2010. 2010-2684
Xiang, Yibing ; Liu, Yongming. / Inverse FORM method for probabilistic fatigue prognosis. Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2010.
@inproceedings{c4db8d31d54c406bacb7aee48cc86fba,
title = "Inverse FORM method for probabilistic fatigue prognosis",
abstract = "Fatigue crack growth is a random process and various uncertainties affect the remaining useful life of engineering materials and structures. A general probabilistic life prediction methodology for accurate and efficient fatigue prognosis is proposed in this paper. The proposed methodology is based-on an inverse first-order reliability method (FORM) to evaluate the fatigue life at an arbitrary reliability level. An efficient searching algorithm for fatigue life prediction is developed and a numerical example is demonstrated. The prediction results are compared with direct Monte Carlo simulation for validation. Various experimental data are collected for model validation. Very good agreements are observed between model predictions and experimental data.",
author = "Yibing Xiang and Yongming Liu",
year = "2010",
language = "English (US)",
isbn = "9781600867422",
booktitle = "Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference",

}

TY - GEN

T1 - Inverse FORM method for probabilistic fatigue prognosis

AU - Xiang, Yibing

AU - Liu, Yongming

PY - 2010

Y1 - 2010

N2 - Fatigue crack growth is a random process and various uncertainties affect the remaining useful life of engineering materials and structures. A general probabilistic life prediction methodology for accurate and efficient fatigue prognosis is proposed in this paper. The proposed methodology is based-on an inverse first-order reliability method (FORM) to evaluate the fatigue life at an arbitrary reliability level. An efficient searching algorithm for fatigue life prediction is developed and a numerical example is demonstrated. The prediction results are compared with direct Monte Carlo simulation for validation. Various experimental data are collected for model validation. Very good agreements are observed between model predictions and experimental data.

AB - Fatigue crack growth is a random process and various uncertainties affect the remaining useful life of engineering materials and structures. A general probabilistic life prediction methodology for accurate and efficient fatigue prognosis is proposed in this paper. The proposed methodology is based-on an inverse first-order reliability method (FORM) to evaluate the fatigue life at an arbitrary reliability level. An efficient searching algorithm for fatigue life prediction is developed and a numerical example is demonstrated. The prediction results are compared with direct Monte Carlo simulation for validation. Various experimental data are collected for model validation. Very good agreements are observed between model predictions and experimental data.

UR - http://www.scopus.com/inward/record.url?scp=84855624322&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84855624322&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84855624322

SN - 9781600867422

BT - Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference

ER -