Risk assessment and life prediction of complex engineering systems

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Description

Many complex engineering systems will exceed their design life expectancy within the next 10 to 15 years. It is also expected that these systems must be maintained and operated beyond their design life. This paper presents a integrated approach for managing the risks associated with aging effects and predicting the residually expectancy these systems, The approach unifies risk assessment, enhanced surveillance and testing, and robust computational models to assess the risk, predict age, and develop a life-extension management procedure. It also relies on the state of the art in life-extension and risk assessment methods from the nuclear power industry. Borrowing ... continued below

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7 p.

Creation Information

Garcia, M.D.; Varma, R. & Heger, A.S. March 1, 1996.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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Authors

  • Garcia, M.D.
  • Varma, R. Los Alamos National Lab., NM (United States)
  • Heger, A.S. New Mexico Univ., Albuquerque, NM (United States). Dept. of Chemical and Nuclear Engineering

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Description

Many complex engineering systems will exceed their design life expectancy within the next 10 to 15 years. It is also expected that these systems must be maintained and operated beyond their design life. This paper presents a integrated approach for managing the risks associated with aging effects and predicting the residually expectancy these systems, The approach unifies risk assessment, enhanced surveillance and testing, and robust computational models to assess the risk, predict age, and develop a life-extension management procedure. It also relies on the state of the art in life-extension and risk assessment methods from the nuclear power industry. Borrowing from the developments in decision analysis, this approach should systematically identify the options available for managing the existing aging systems beyond their intended design life.

Physical Description

7 p.

Notes

OSTI as DE96007199

Source

  • 3. international conference on probabilistic safety assessment and management, Crete (Greece), 24-28 Jun 1996

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Identifier

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  • Other: DE96007199
  • Report No.: LA-UR--96-172
  • Report No.: CONF-960647--7
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 219413
  • Archival Resource Key: ark:/67531/metadc673082

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Creation Date

  • March 1, 1996

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

Description Last Updated

  • Feb. 29, 2016, 7:21 p.m.

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Garcia, M.D.; Varma, R. & Heger, A.S. Risk assessment and life prediction of complex engineering systems, article, March 1, 1996; New Mexico. (digital.library.unt.edu/ark:/67531/metadc673082/: accessed September 26, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.