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Editorial for special issue on residual stress in fatigue & fracture

2007· article· en· W1967738983 on OpenAlexaboutno aff
Michael B. Prime

Bibliographic record

VenueFatigue & Fracture of Engineering Materials & Structures · 2007
Typearticle
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsSummitResidual stressStress intensity factorFatigue testingResidualStress (linguistics)Fracture (geology)Structural engineeringFracture mechanicsEngineeringForensic engineeringMaterials scienceComputer scienceGeotechnical engineeringMetallurgyPhilosophyGeography

Abstract

fetched live from OpenAlex

This issue began from presentations at the 2005 North American Residual Stress Summit which was organized by Gary Schajer, Michael Steinzig, and myself. The Summit attempts to bring together practitioners and researchers in applied residual stress technology with industrialists who have issues and problems to solve. A distinctly non-conference event, the Summit strives to achieve an open and frank exchange of practical ideas rather than presentations of isolated research topics. This special issue collects several contributions from the second Summit, held in Vancouver, British Columbia, Canada in 2005, and includes some additional regular contributions to FFEMS that fit the topic. Keeping with the nature of the Summit, several of these papers are more practically oriented than might be typical. In one sense, the relationship between residual stresses and fracture and fatigue is quite clear. The crack driving force, e.g. the stress intensity factor, is equally affected by applied stresses and residual stresses. In fact, residual stresses can be particularly insidious because they offer no external evidence of their existence and yet often have magnitudes on the order of the material yield stress. In another sense, however, the importance of residual stresses was not always so clear. For fatigue, conventional wisdom indicated that mean stresses had little effect on fatigue lifetimes, and residual stresses act as mean stresses. For fracture, residual stresses were also routinely ignored. Further fatigue studies have proven that residual stresses play a large role in fatigue crack propagation and the all important threshold stress intensity factor, at least for many materials. Likewise, residual stresses play an increasingly important role in fracture of higher strength materials, especially those that have limited plasticity before failure. A related and increasingly important issue in both fatigue and fracture is the ‘contamination’ of material property measurements with unaccounted for residual stress effects. With such contamination of the measured properties, the prediction of structural failures can be quite inaccurate. Also, inaccurate property measurements can make it difficult to develop new alloys and compare which are superior. This special issue begins with an excellent literature survey by McClung on not only residual stress effects in fatigue but also on the stability of the initial residual stresses over the part lifetime. The next three papers share a common basis. Cheng and Finnie described the crack-compliance method for measuring residual stress, also called cut compliance or slitting, in 1985.1 Because the method involves incrementally extending a crack-like thin slit and measuring deformations, it is especially well suited to measuring the effect of residual stresses on cracks. In this issue, Schindler et al. use the slitting method to measure residual stress contribution to the stress intensity factor, KIrs, which he then combines with fundamental understanding of the fatigue process to develop a simple procedure to estimate fatigue of welded joints without needing measured fatigue properties or an initial crack size. Next, Ghidini and Dalle Donne demonstrate the use of crack-compliance measured KIrs combined with analytical models to predict fatigue crack growth rates in overloaded specimens and friction stir welded specimens. Then Donald and Lados use the same basic concept as crack compliance, but use load-displacement measurements taken in situ during fatigue testing to measure residual stress and closure effects during the actual fatigue testing. The next two papers look at some details of crack growth using numerical simulations. Gardin et al. present some promising results from an ambitious prediction of crack growth under the influence of residual stress using a 3D finite element model with incremental crack growth. Sherry et al. also use a 3D finite element model but then compare it with carefully measured crack opening displacements in specimens to evaluate methods of assessing defects. Finally, Akiniwa et al. present a study on the interactions of residual stress and crack bridging on crack growth and branching in a heterogeneous material, a metal matrix composite. The 2007 Residual Stress Summit, which will be held in Oak Ridge, Tennessee in October. It will focus on Engineered Stresses, the growing field of purposely induced residual stresses tailored to improve fatigue and fracture performance of structures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.253
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2007
Admission routes1
Has abstractyes

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