Microstructure-sensitive extreme value probabilities for high cycle fatigue of Ni-base superalloy IN100

By Craig P. Przybyla, David L. McDowell. 2010

213 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Mechanics of Materials, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5718dcd00e1beed09006d49a86e4abecbf23c08e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. Michael D. Sangid
2. Surya R. Kalidindi
3. David L. McDowell
4. M. Priddy
5. Noah H. Paulson
6. Franz Roters
7. Dierk Raabe
8. Damiano Pasini

In Mechanics of Materials

1. Michael D. Sangid
2. Surya R. Kalidindi
3. David L. McDowell
4. M. Priddy
5. Noah H. Paulson
6. Franz Roters
7. Dierk Raabe
8. Philip Eisenlohr

In Statistics and Probability

1. Michael D. Sangid
2. M. Priddy
3. Noah H. Paulson
4. David L. McDowell
5. Surya R. Kalidindi

Citations in the corpus

• The physics of fatigue crack initiation (2013, methodology): “This framework has been extended to notch root analysis [143], and fatigue indicator parameters are used to determine the effect of varying microstructure in predicting crack initiation life [141,144].”
• Reduced-order structure-property linkages for polycrystalline microstructures based on 2-point statistics (2017, methodology): “The ABAQUS [105] mesh used in this work contains 9261 C3D8R elements (one per voxel in eachMVE); these element types have been used in previous work [94,106,107] with good agreement as compared to C3D8 elements for the determination of bulk properties.”