R
Robert G. Tryon
Researcher at Vanderbilt University
Publications - 32
Citations - 425
Robert G. Tryon is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Reliability (statistics) & Fracture mechanics. The author has an hindex of 11, co-authored 31 publications receiving 423 citations.
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Patent
Method and apparatus for predicting failure in a system
TL;DR: In this paper, a system reliability or failure predicting apparatus and method that incorporates known information about system component failure into a system model and uses the model with or without other acquired system data to predict the probability of system failure.
Patent
Materials-based failure analysis in design of electronic devices, and prediction of operating life
TL;DR: In this article, the authors present a system for predicting the time to failure of an electronic component, by generating a finite element model of the component, developing a micro-structure-based failure model for each representative volume element associated with each node in the model.
Patent
Apparatus and methods for testing performance of a material for use in a jet engine
Richard Holmes,Robert G. Tryon,John E. Pope,Daniel A. Nasser,Michael Oja,Animesh Dey,Jesse Hamler,Jonathan Brooks,James Tryon +8 more
TL;DR: In this paper, the authors present an apparatus for testing failure of a material used in a jet engine, and more particularly to an apparatus that uses one or more model jet engine components made from the material used by a full-size jet engine and desired to be tested.
Journal ArticleDOI
Probabilistic Mesomechanical Fatigue Crack Nucleation Model
Robert G. Tryon,Thomas A. Cruse +1 more
TL;DR: In this article, a probabilistic mesomechanical crack nucleation model is proposed to link the microstructural material heterogeneities to the statistical scatter in the macrostructural response.
Journal ArticleDOI
Development of a reliability-based fatigue life model for gas turbine engine structures
TL;DR: In this paper, structural reliability-based methodologies are used to assess cyclic fatigue life of a turboprop engine, where the high pressure turbine of a two-stage turbine is used to construct a fatigue performance function.