Mechanistically based probability modelling, life prediction and reliability assessment

Life prediction and reliability assessment are essential components for the life-cycle engineering and management (LCEM) of modern engineered systems. These systems can range from microelectronic and bio-medical devices to large machinery and structures. To be effective, the underlying approach to L...

Full description

Saved in:
Bibliographic Details
Published in:Modelling and simulation in materials science and engineering 2005-01, Vol.13 (1), p.R33-R51
Main Authors: Wei, Robert P, Harlow, D Gary
Format: Article
Language:English
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Life prediction and reliability assessment are essential components for the life-cycle engineering and management (LCEM) of modern engineered systems. These systems can range from microelectronic and bio-medical devices to large machinery and structures. To be effective, the underlying approach to LCEM must be transformed to embody mechanistically based probability modelling, vis-a-vis the more traditional experientially based statistical modelling, for predicting damage evolution and distribution. In this paper, the probability and statistical approaches are compared and differentiated. The process of model development on the basis of mechanistic understanding derived from critical experiments is illustrated through selected examples. The efficacy of this approach is illustrated through an example of the evolution and distribution of corrosion and corrosion fatigue damage in aluminium alloys in relation to aircraft that had been in long-term service.
ISSN:0965-0393
1361-651X
DOI:10.1088/0965-0393/13/1/R02