Novel adaptive surrogate model based on LRPIM for probabilistic analysis of turbine disc-Reference-Cited by-同舟云学术

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Novel adaptive surrogate model based on LRPIM for probabilistic analysis of turbine disc

Published:2017-11 Issue: Volume:70 Page:76-87
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Mao Jianxing,Hu Dianyin,Li Da,Wang Rongqiao,Song Jun

Funder

China Scholarship Council

National Natural Science Foundation of China

Aviation Science Fund of China

Defense Industrial Technology Development Program

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference60 articles.

1. Turbine Rotor Material Design;Leverant,2000

2. Probabilistic physics of failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty;Zhu;Reliab. Eng. Syst. Saf.,2016

3. Bayesian framework for probabilistic low cycle fatigue life prediction and uncertainty modeling of aircraft turbine disc alloys;Zhu;Probab. Eng. Mech.,2013

4. Creep-fatigue behavior of turbine disc of superalloy GH720Li at 650 °C and probabilistic creep-fatigue modeling;Hu;Mater. Sci. Eng. A,2016

5. U.S. Department of Transportation, Advisory Circular 33.70-1: Guidance material for aircraft engine life-limited parts requirements, 2009.

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