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Enregistrement W1967738983 · doi:10.1111/j.1460-2695.2007.01119.x

Editorial for special issue on residual stress in fatigue & fracture

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

Notice bibliographique

RevueFatigue & Fracture of Engineering Materials & Structures · 2007
Typearticle
Langueen
DomaineEngineering
ThématiqueFatigue and fracture mechanics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSummitResidual stressStress intensity factorFatigue testingResidualStress (linguistics)Fracture (geology)Structural engineeringFracture mechanicsEngineeringForensic engineeringMaterials scienceComputer scienceGeotechnical engineeringMetallurgyPhilosophyGeography

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,650
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,253
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2007
Routes d'admission1
Résumé présentoui

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