A New Probabilistic Approach for Accurate Fatigue Data Analysis of Ceramic Materials
Author:
Schenk Bjoern1, Brehm Peggy J.1, Menon M. N.1, Tucker William T.2, Peralta Alonso D.3
Affiliation:
1. Honeywell Engines & Systems, P.O. Box 52181, Phoenix, AZ 85072-2181 2. General Electric Corporation, Corporate Research and Development Center, Schenectady, NY 12301 3. State University of New York, Mechanical Engineering Department, Stony Brook, NY 11794-2300
Abstract
Statistical methods for the design of ceramic components for time-dependent failure modes have been developed that can significantly enhance component reliability, reduce baseline data generation costs, and lead to more accurate estimates of slow crack growth (SCG) parameters. These methods are incorporated into the Honeywell Engines & Systems CERAMIC and ERICA computer codes. Use of the codes facilitates generation of material strength parameters and SCG parameters simultaneously, by pooling fast fracture data from specimens that are of different sizes, or stressed by different loading conditions, with data derived from static fatigue experiments. The codes also include approaches to calculation of confidence bounds for the Weibull and SCG parameters of censored data and for the predicted reliability of ceramic components. This paper presents a summary of this new fatigue data analysis technique and an example demonstrating the capabilities of the codes with respect to time-dependent failure modes. This work was sponsored by the U.S. Department of Energy/Oak Ridge National Laboratory (DoE/ORNL) under Contract No. DE-AC05-84OR21400. [S0742-4795(00)02103-7]
Publisher
ASME International
Subject
Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering
Reference16 articles.
1. Weibull, W.
, 1939, “A Statistical Theory of the Strength of Materials,” R. Swedish Acad. Eng. Proc., 151, 1–45. 2. Batdorf, S. B., and Heinisch, H. L., 1978, “Weakest Link Theory Reformulated for Arbitrary Failure Criterion,” ASME J. Appl. Mech., 61, pp. 355–358. 3. Lamon, J., and Evans, A. G., 1983, “Statistical Analysis of Bending Strengths for Brittle Solids: A Multiaxial Fracture Problem,” J. Am. Ceram. Soc., 66, No. 3, pp. 177–182. 4. Schenk, B., Peralta, A. D., Brehm, P., and Menon, M. N., 1998, “CERAMIC/ERICA: AlliedSignal Engines’ Life Prediction Codes for Structural Ceramic Applications,” Proceedings of the World Ceramics Congress CIMTEC 1998, Florence, Italy. 5. Cuccio, J., Peralta, A. D., Song, J., Brehm, P., Johnson, C. A., Tucker, W. T., and Fang, H., 1994, “Probabilistic Methods for Ceramic Component Design and Implications for Standards,” in Life Prediction Methodologies and Data for Ceramic Materials, C. R. Brinkman and S. F. Duffy, eds., ASTM STP1201, pp. 291–308.
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