Volume 1: Codes and Standards 2008
DOI: 10.1115/pvp2008-61378
|View full text |Cite
|
Sign up to set email alerts
|

Statistical Analysis of Residual Stress Profiles Using a Heuristic Method

Abstract: In this paper we present a recently developed heuristic method for statistical analysis of residual stress that is based on a combination of the weighted least-squares method and the application of expert judgement. The least-squares method allows a model of the best residual stress profile to be determined as a linear combination of basis functions; the expert knowledge gives the flexibility of applying expert judgement to determine the weights from the observed scatter in the residual stress data. The heuris… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2010
2010
2016
2016

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(4 citation statements)
references
References 0 publications
0
4
0
Order By: Relevance
“…The heuristic fitting method and the corresponding software tool have been used previously in data analysis for determining the residual stress profiles of pipe girth welds [3]. A brief description is given below.…”
Section: Analysis Methodologymentioning
confidence: 99%
See 1 more Smart Citation
“…The heuristic fitting method and the corresponding software tool have been used previously in data analysis for determining the residual stress profiles of pipe girth welds [3]. A brief description is given below.…”
Section: Analysis Methodologymentioning
confidence: 99%
“…In previous work the authors have developed a heuristic method [3] for determining residual stress profiles which is based on a combination of the weighted least-squares method and the application of expert judgment. The least-squares method allows a model of the best residual stress profile to be determined as a linear combination of basis functions, and the expert judgement allows weights to be chosen from the observed scatter in the measured residual stress data.…”
Section: Introductionmentioning
confidence: 99%
“…over-estimate) of the level of stress for use in assessment. Alternative statistical methods based on a heuristic method [8] and Bayesian analysis [9] are being developed which can account for the uncertainty associated with residual stress measurements and thus provide less pessimistic Level 2 profiles and more generic Level 3 profiles. Both methods were used to determine the residual stress profiles for austenitic stainless steel girth welds [10] and the derived profiles were compared with the current profiles in R6 and API 579 [11].…”
Section: Residual Stress Profilesmentioning
confidence: 99%
“…They have the drawback that the inevitable scatter in published measurements tends to drive a simple upper bound towards the material yield strength, so there can often be little advantage in moving from a Level 1 to a Level 2 profile. Alternative estimation methods based upon heuristics, 21 Bayesian statistics, [22][23][24] and neural networks 25,26 are under active development in a bid to better handle uncertainty in the measured data and provide less pessimistic generic residual stress profiles.…”
Section: Introductionmentioning
confidence: 99%