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Two-Parameter Failure Model Improves Time-Independent and Time-Dependent Failure Predictions.

DE200415009772

Publication Date	2003
Personal Author	Huddleston, R. L.
Page Count	88
Abstract	A new analytical model for predicting failure under a generalized, triaxial stress state was developed by the author and initially reported in 1984. The model was validated for predicting failure under elevated-temperature creep-rupture conditions. Biaxial data for three alloy steels, Types 304 and 316 stainless steels and Inconel 600, demonstrated two to three orders of magnitude reduction in the scatter of predicted versus observed creep-rupture times as compared to the classical failure models of Mises, Tresca, and Rankine. In 1990, the new model was incorporated into American Society of Mechanical Engineers (ASME) Code Case N47-29 for design of components operating under creep-rupture conditions. The current report provides additional validation of the model for predicting failure under time-independent conditions and also outlines a methodology for predicting failure under cyclic, time-dependent, creep-fatigue conditions.
Keywords	Stainless steels Engines Alloys Inconel 600 Stainless steel 304 Stainless steel 316 Mechanical engineering Design Reactors Containers Creep Methodology Fatigue Stresses
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200513

Two-Parameter Failure Model Improves Time-Independent and Time-Dependent Failure Predictions.

Two-Parameter Failure Model Improves Time-Independent and Time-Dependent Failure Predictions.
DE200415009772

Publication Date	2003
Personal Author	Huddleston, R. L.
Page Count	88
Abstract	A new analytical model for predicting failure under a generalized, triaxial stress state was developed by the author and initially reported in 1984. The model was validated for predicting failure under elevated-temperature creep-rupture conditions. Biaxial data for three alloy steels, Types 304 and 316 stainless steels and Inconel 600, demonstrated two to three orders of magnitude reduction in the scatter of predicted versus observed creep-rupture times as compared to the classical failure models of Mises, Tresca, and Rankine. In 1990, the new model was incorporated into American Society of Mechanical Engineers (ASME) Code Case N47-29 for design of components operating under creep-rupture conditions. The current report provides additional validation of the model for predicting failure under time-independent conditions and also outlines a methodology for predicting failure under cyclic, time-dependent, creep-fatigue conditions.
Keywords	Stainless steels Engines Alloys Inconel 600 Stainless steel 304 Stainless steel 316 Mechanical engineering Design Reactors Containers Creep Methodology Fatigue Stresses
Source Agency	Technical Information Center Oak Ridge Tennessee
Corporate Authors	Lawrence Livermore National Lab., CA.; Department of Energy, Washington, DC.
Supplemental Notes	Sponsored by Department of Energy, Washington, DC.
Document Type	Technical Report
NTIS Issue Number	200513