GENERAL STATISTICAL MODEL FOR RANDOM FATIGUE

A GENERAL STATISTICAL MODEL FOR FATIGUE UNDER STATIONARY RANDOM GAUSSIAN STRESS IS PRESENTED. THIS PHENOMENOLOGICAL MODEL REQUIRES ONLY A LIMITED AMOUNT OF DATA FROM FATIGUE TESTS IN WHICH SPECIMENS ARE SUBJECTED TO STATIONARY NARROW BAND, GAUSSIAN STRESSES. A THEORETICAL EXTENSION IS MADE TO PREDICT FATIGUE UNDER WIDE BAND STRESSES AND ARBITRARY MEAN VALUES. STATISTICAL VARIABILITY IN MATERIAL STRENGTH IS INCLUDED IN THE MODEL. THE MODEL HAS THE PROPERTY OF ADAPTABILITY IN THAT IT IS EASILY MODIFIED TO REFLECT NEW DATA AS IT BECOMES AVAILABLE, AND IT IS EASILY INCORPORATED INTO PROBABILISTIC DESIGN PROCEDURES WHERE RELIABILITY REQUIREMENTS ARE SPECIFIED. /AUTHOR/

• Corporate Authors:

  American Society of Mechanical Engineers

  Two Park Avenue
  New York, NY  United States  10016-5990
• Authors:
  • Wirsching, P H
  • Haugen, E B
• Publication Date: 1974-1

Media Info

• Pagination: p. 34-40
• Serial:
  • ASME Journal of Engineering Materials and Technology
  • Volume: 96
  • Issue Number: 1
  • Publisher: American Society of Mechanical Engineers

Subject/Index Terms

• TRT Terms: Fatigue (Physiological condition); Mathematical models; Mean (Statistics); Probability theory; Statistical analysis; Strength of materials; Stresses
• Old TRIS Terms: Mean (Statistical)
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways;

Filing Info

• Accession Number: 00210087
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 19 2003 12:00AM