scispace - formally typeset
G

G. R. Leverant

Researcher at Southwest Research Institute

Publications -  25
Citations -  572

G. R. Leverant is an academic researcher from Southwest Research Institute. The author has contributed to research in topics: Coating & Crack closure. The author has an hindex of 14, co-authored 25 publications receiving 554 citations.

Papers
More filters
Journal ArticleDOI

A New Tool for Design and Certification of Aircraft Turbine Rotors

TL;DR: Recent enhancements to a probabilistic damage tolerance software code, DARWIN, that can be used for design certification of aircraft jet engine titanium disks/rotors that may contain melt-related anomalies are summarized.
Journal ArticleDOI

Fatigue crack growth in MAR-M200 single crystals

TL;DR: In this paper, the effects of crystallographic orientation on the fatigue crack growth behavior of MAR-M200* single crystals were examined using compact-tension specimens tested at 20 Hz.
Journal ArticleDOI

Elevated-temperature fatigue crack growth

TL;DR: In this paper, the authors examined the growth behavior of MAR-M200 single crystals at 982 °C and determined the growth rates as functions of crystallographic orientation and the stress state by varying the applied shear stress range-to-normal stress ratio.
Journal ArticleDOI

Fatigue crack propagation in Ni-base superalloy single crystals under multiaxial cyclic loads

TL;DR: In this paper, the effects of crystallographic orientation and stress state on the multiaxial fatigue behavior of MAR-M200* single crystals were examined using notched tubular specimens subjected to combined tension/torsion cyclic loads.
Journal ArticleDOI

A Software Framework for Probabilistic Fatigue Life Assessment of Gas Turbine Engine Rotors

TL;DR: In this article, an enhanced life management process based on probabilistic damage tolerance methods has been developed to address material anomalies in titanium rotating components of gas turbine engines, which are used as tools to investigate the impact of engine monitoring and usage variability on prognosis for field readiness and life management.