A Random Vibration Approach for Fatigue Design of Industrial Piping

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• 作者：S. Saha
• 关键词：Random vibrations ; Fatigue ; Inverse Problem ; Power Spectral Density
• 刊名：Transactions of the Indian Institute of Metals
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：69
• 期：2
• 页码：537-542
• 全文大小：1,041 KB
• 参考文献：1.Saha S, J Press Vessel Technol, ASME, NY, 131 (2009), 031206-1.
  2.Saha S, Recent Patents on Mechanical Engineering, vol 7, Bentham Science Publishers, Sharjah, UAE (2014), p 229.
  3.ASME O M, Code for Operation & Maintenance of Nuclear Plants, ASME, NY (2004).
  4.Wirshing P H, Paez T L, and Ortiz K, Random Vibrations, John Wiley & Sons Inc., NY (1995).
  5.Halfpenny A, in Proceedings of International Conference on Damage Assessment of Structures (DAMAS 99), Dublin (1999), p 401.
  6.Lalanne C, Mechanical Vibration & Shock, vol. 4, Hermes Penton Ltd, London (2002).
  7. ASME Boiler and Pressure Vessel Code Section VIII, ASME, NY (2013).
  8.B31.3 Process Piping, ASME B31 Code for Pressure Piping, ASME, NY (2014).
  
• 作者单位：S. Saha (1)
  
  1. Piping Department, Reliance Engineering Group (JEC), RCITPL, Reliance Refinery Complex, Jamnagar, Gujarat, 361140, India
  
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Materials Science
  Metallic Materials
  Materials Science, general
  Tribology, Corrosion and Coatings
  
• 出版者：Springer India
• ISSN：0975-1645

文摘

Most of the structural failures in industrial piping are attributed to fatigue due to flow induced vibrations which are generally random. However conventional method of fatigue life design cannot be adopted directly since the forcing functions are not known a priori. In such a scenario, the Theory of Inverse Problems has been applied for the loading reconstruction from the in situ measurements. In our study a method for the calculation of Power Spectral Density for the force excitations has been presented along with the fatigue life estimation under the theoretical frame-work of random vibration. A case study has also been provided as an application of the method so presented. Keywords Random vibrations Fatigue Inverse Problem Power Spectral Density