Parts 1 and 2 presented a stochastic model of the cumulative damage process that for the first time makes it possible to take a comprehensive view of the entire process. Some of the properties of the model were discussed and some fatigue and wear data were considered. It also was shown that data on time to failure is not sufficient to characterize the process and that prediction of life under changed conditions is of necessity subject to error which cannot be removed based only on life time data. The purpose of this part is to demonstrate that since it is now possible to take a comprehensive view of the entire process accuracy in life prediction under changed conditions can be improved by the acquisition of additional data of a specific type. This data provides increasing knowledge of member (sample) function behavior that is essential for improvement in predictive accuracy.
Skip Nav Destination
Article navigation
December 1978
Research Papers
A New Cumulative Damage Model—Part 3
J. L. Bogdanoff
J. L. Bogdanoff
School of Aeronautics and Astronautics, Purdue University, W. Lafayette, Ind. 47907
Search for other works by this author on:
J. L. Bogdanoff
School of Aeronautics and Astronautics, Purdue University, W. Lafayette, Ind. 47907
J. Appl. Mech. Dec 1978, 45(4): 733-739 (7 pages)
Published Online: December 1, 1978
Article history
Received:
February 1, 1978
Revised:
June 1, 1978
Online:
July 12, 2010
Citation
Bogdanoff, J. L. (December 1, 1978). "A New Cumulative Damage Model—Part 3." ASME. J. Appl. Mech. December 1978; 45(4): 733–739. https://doi.org/10.1115/1.3424411
Download citation file:
Get Email Alerts
Related Articles
Nondestructive Evaluation of FRP Design Criteria With Primary Consideration to Fatigue Loading
J. Pressure Vessel Technol (May,2004)
Friction and Wear of Metal Particle, Barium Ferrite and Metal
Evaporated Tapes in Rotary Head Recorders
J. Tribol (January,1996)
The Influence of Gear Design Parameters on Gear Tooth Damage Detection Sensitivity
J. Mech. Des (December,2002)
Real-Time Estimation of Gas Turbine Engine Damage Using a Control-Based Kalman Filter Algorithm
J. Eng. Gas Turbines Power (April,1992)
Related Proceedings Papers
Related Chapters
Understanding the Problem
Design and Application of the Worm Gear
Unbalance
Fundamentals of Rotating Machinery Diagnostics
Random Turbulence Excitation in Single-Phase Flow
Flow-Induced Vibration Handbook for Nuclear and Process Equipment