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STP1450
Probabilistic Aspects of Life Prediction

Johnson WS, Hillberry BM
Pages: 276
Published: 2004

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Seventeen peer-reviewed papers give you the latest information on probabilistic fatigue life prediction methodology, including how to accurately determine the useful life or inspection intervals for complex structures

Sections cover:

Probabilistic Modeling—life prediction, computational simulations, and service loading spectra

Material Variability—quality, performance, reliability, and uncertainties of various materials, including aluminum, ceramics, and steel, as they relate to fracture toughness and fatigue crack growth

Applications—realistic approaches to and applications of probabilistic fatigue life predictions

STP 1450 is a valuable resource for structural designers, fatigue and fracture engineers, and materials engineers who need to:
• Assure safety
• Avoid costly litigation
• Set meaningful inspection intervals
• Establish economic risks



Table of Contents

Probabilistic Life Prediction Isn't as Easy as It Looks
Annis C.

Probabilistic Fatigue: Computational Simulation
Chamis C., Pai S.

The Prediction of Fatigue Life Distributions from the Analysis of Plain Specimen Data
Shepherd D.

Modeling Variability in Service Loading Spectra
Pompetzki M., Socie D.

Probabilistic Fracture Toughness and Fatigue Crack Growth Estimation resulting From Material Uncertainties
Abdi F., Farahmand B.

Predicting Fatigue Life Under Spectrum Loading in 2024-T3 Aluminum Using a Measured Initial Flaw Size Distribution
DeBartolo E., Hillberry B.

Extension of a Microstructure-Based Fatigue Crack Growth Model for Predicting Fatigue Life Variability
Chan K., Enright M.

Scatter in Fatigue Crack Growth Rate in a Directionally Solidified Nickel-Base Superalloy
Highsmith S., Johnson W.

Mechanism-Based Variability in Fatigue Life of Ti-6Al-2Sn-4Zr-6Mo
Hartman G., Jha S., Larsen J., Rosenberger A.

Predicting the Reliability of Ceramics Under Transient Loads and Temperatures with CARES/Life
Baker E., Jadaan O., Nemeth N., Palfi T.

Fatigue Life Variability Prediction Based on Crack Forming Inclusions in a High Strength Alloy Steel
Craig B., Hillberry B., Sharpe P.

Preliminary Results of the United States Nuclear Regulatory Commission's Pressurized Thermal Shock Rule Reevaluation Project
Bass B., Dickson T., Kirk M., Williams P.

Corrosion Risk Assessment of Aircraft Structures
Komorowski J., Liao M.

A Software Framework for Probabilistic Fatigue Life Assessment of Gas Turbine Engine Rotors
Enright M., Hudak S., Leveront G., McClung R., Millwater H.

Application of Probabilistic Fracture Mechanics in Structural Design of Magnet Component Parts Operating Under Cyclic Loads at Cryogenic Temperatures
Mitchell N., Nikbin K., Nyilas A., Portone A., Sborchia C., Yatomi M.

A Methodology for Assessing Fatigue Crack Growth Reliability of Railroad Tank Cars
Penã J., Sutton M., Zhao W.

Effect of Individual Component Life Distribution on Engine Life Prediction
Hendricks R., Soditus S., Zaretsky E.

Author Index


Subject Index


Committee: E08
Paper ID: STP1450-EB
DOI: 10.1520/STP1450-EB
ISBN-EB: 978-0-8031-5496-4

ASTM International is a member of CrossRef.
0-8031-3478-9
978-0-8031-3478-2
STP1450-EB