Uncertainty modelling of large deformation process using a new aggregation rule of evidence
by Shahab Salehghaffari
International Journal of Reliability and Safety (IJRS), Vol. 7, No. 3, 2013

Abstract: The aggregation rule is critical when a high degree of conflict between different sources of data or expert opinions exists. In this paper, we will present a new evidence aggregation rule that makes use of Ground Probability Assignment (GPA) developed by Yager along with a proposed Credibility Factor of Evidence (CFE). Observed experimental evidences on simulation responses or commonly used values of uncertain parameters are used for the CFE estimation. The new aggregation rule is adopted for uncertainty modelling of a large deformation process represented by the Taylor impact test for which Johnson-Cook and Zerilli-Armstrong plasticity models provide different answers. The uncertainty modelling procedure also accommodates both epistemic and aleatory uncertainty embedded in material constants of the adopted plasticity models. Results of uncertainty representation, propagation and quantification for Taylor impact tests of AISI 4340 Steel have shown that the suggested aggregation rule is very efficient in recognising key information or knowledge from different sources, which helps to reduce epistemic uncertainty.

Online publication date: Tue, 30-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Reliability and Safety (IJRS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com