The theoretical background of brittle material reliability may be divided into two categories, parameter estimation and component reliability. Parameter estimation is the calculation of material specific strength parameters from test specimen failure data. Component reliability is the prediction of failure rate or lifetime of components.

The following files and links provide further details:

Onsite Documents Parameter Estimation Theory   Time Independent - Fast Fracture (536 KB) -- Updated JUL 12, 2005   Time Dependent - Dynamic Fatigue (76 KB) -- Updated JUL 12, 2005 Component Reliability Theory   Time Dependent & Time Independent (227 KB) -- Updated AUG 5, 2009

Links to Additional Information STANDARDS ASTM C1239-07 Standard Practice for Reporting Uniaxial Strength Data and Estimating Weibull Distribution Parameters for Advanced Ceramics ASTM C1368-06 Standard Test Method for Determination of Slow Crack Growth Parameters of Advanced Ceramics by Constant Stress-Rate Flexural Testing at Ambient Temperature ISO 20501:2003 Fine Ceramics (Advanced Ceramics, Advanced Technical Ceramics) - Weibull Statistics for Strength Data ASTM Journal Articles Weibull Analysis Effective Volume and Effective Area for a Ceramic C-Ring Test Specimen, July 2005 NASA Papers Lifetime Reliability Prediction of Ceramic Structures Under Transient Thermomechanical Loads, NASA/TP, September 2005 Predicting the Reliability of Ceramics Under Transient Loads and Temperatures With CARES/Life, NASA/TM, July 2003 Fatigue Parameter Estimation Methodology for Power and Paris Crack Growth Laws in Monolithic Ceramic Materials, NASA/TM, March 1996 Other Papers & Articles Designing Advanced Ceramic Parts That Last, Feature Article ANSYS Solutions Magazine, Winter 2006, Vol 7, Issue 1 Size Effects in Ceramic Materials: Computational Issues Associated With Parameter Estimations, ARL-CR-0560, April 2005, Contract Report for the ARMY Research Laboratory (ARL) Data Sources UDRI Advanced Ceramics and Glasses Group Web site for structural ceramics property data

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