Probabilistic mesomechanics for high cycle fatigue life prediction

Journal Article · Sat Apr 01 04:00:00 EST 2000 · Journal of Engineering Materials and Technology

DOI:https://doi.org/10.1115/1.482789· OSTI ID:20075675

Tryon, R G; Cruse, T A

This paper presents an analytical modeling approach to characterize and understand high cycle fatigue life in gas turbine alloys. It is recognized that the design of structures subjected to fatigue cannot be based on average material behavior but that designs must consider {minus}3{sigma} or some other appropriate extreme value (tail of the distribution) loading and/or material properties. Thus, a life prediction capability useful in a design application must address the scatter inherent in material response to fatigue loading. Further, the life prediction capability should identify the key micromechanical variables that are critical in the tail of the materials durability distribution. The proposed method addresses the scatter in fatigue by investigating the microstructural variables responsible for the scatter and developing analytical and semi-analytical models to quantitatively relate the variables to the response. The model is general and considers the entire range of damage accumulation sequences; from crack nucleation of the initially unflawed structure to final fast fracture.

• Research Organization: Brentwood Technologies, Inc., TN (US)
• OSTI ID: 20075675
• Journal Information: Journal of Engineering Materials and Technology, Journal Name: Journal of Engineering Materials and Technology Journal Issue: 2 Vol. 122; ISSN 0094-4289; ISSN JEMTA8
• Country of Publication: United States
• Language: English

Related Subjects

36 MATERIALS SCIENCE
ALLOYS
CRACK PROPAGATION
CRACKS
FATIGUE
MATHEMATICAL MODELS
NUCLEATION
PREDICTION EQUATIONS