Probabilistic Aspects of Life Prediction

    Johnson WS, Hillberry BM
    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

    DOI: 10.1520/STP1450-EB

    ISBN-EB: 978-0-8031-5496-4

    ISBN-13: 978-0-8031-3478-2

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