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Experimental Study on Statistic Failure Properties of Composite Considering Temperature Effect

Advanced composite has been widely used in many fields with high mechanical performance requirements. Aim to characterize the reliability of composite, a statistic failure model was established based on Weibull distribution. Strength tests at various temperatures were conducted under tensile, compressive and in-plane shear loading conditions. As the temperature rises from 25 °C to 180°C, the strengths at different loading conditions reduces by nearly 60% except that the longitudinal tensile one reduces by only 16%. Equivalent strength at reference temperature was obtained based on time-temperature superposition principle. Then, the model parameters were determined with transferred test data using the median rank method, and statistic characterizations of different strength properties were further studied. Results show that the failure probability of composite is independent of temperature. Among all the strengths, the longitudinal compressive strength possesses the smallest shape parameter and correlation coefficient R of the fitting result, which means the strongest randomness of failure.