DOI QR코드

DOI QR Code

Random number sensitivity in simulation of wind loads

  • Kumar, K. Suresh (Centre for Building Studies, Concordia University)
  • 발행 : 2000.03.25

초록

Recently, an efficient and practical method has been developed for the generation of univariate non-Gaussian wind pressure time histories on low building roofs; this methodology requires intermittent exponential random numbers for the simulation. On the other hand, the conventional spectral representation scheme with random phase is found suitable for the generation of univariate Gaussian wind pressure time histories on low building roofs; this simulation scheme requires uniform random numbers. The dependency of these simulation methodologies on the random number generator is one of the items affecting the accuracy of the simultion result; therefore, an attempt has been made to investigate the issue. This note presents the observed sensitivity of random number sets in repetitive simulations of Gaussian and non-Gaussian wind pressures.

키워드

참고문헌

  1. Clark, C.E. and Holz, B.W. (1960), Exponentially Distributed Random Numbers, Published for Operations Research Office, The John Hopkins University, Baltimore.
  2. Grigoriu, M. (1986), "Errors in simulation of random processes", Technical note, J. Struct. Eng., ASCE., 112(12), 2697-2702. https://doi.org/10.1061/(ASCE)0733-9445(1986)112:12(2697)
  3. Knuth, D.E. (1981), The Art of Computer Programming, Vol. 2: Seminumerical Algorithms, 2nd Edition, Addison-Wesley.
  4. MATLAB (1992), High Performance Numeric Computation and Visualization Software, The Math Works Inc., Massachusettes.
  5. MATLAB (1994), Statistics ToolBox User's Guide, The Math Works Inc., Massachusettes.
  6. Papoulis, A. (1984), Probability, Random Variables and Stochastic Processes, McGraw-Hill Inc., Second Edition.
  7. Park, S.K. and Miller, K.W. (1988), "Random number generators: Good ones are hard to find", Communications of the ACM., 31(10), 1192-1201. https://doi.org/10.1145/63039.63042
  8. Rice, S.O. (1954), Mathematical Analysis of Random Noise, Selected papers on noise and stochastic processes, N. Wax, ed., Dover, Now York, 133-294.
  9. Shinozuka, M. and Deodatis, G. (1991), "Simulation of stochastic processes by spectral representation", Applied Mechanics Review, 44(4), 191-203. https://doi.org/10.1115/1.3119501
  10. Suresh Kumar, K. (1997), "Simulation of fluctuating wind pressures on low building roofs", Ph.D. Thesis, Concordia University, Montreal, Canada.
  11. Suresh Kumar, K. (1999), "Modeling of wind-induced pressure fluctuations on roofs of low-rise buildings", Can. J. Civ. Eng., 26, 453-467. https://doi.org/10.1139/l99-011
  12. Suresh Kumar, K. and Stathopoulos, T. (1997), "Computer simulation of fluctuating wind pressures on low building roofs", J. Wind Eng. Ind. Aerodyn., 69-71, 485-495. https://doi.org/10.1016/S0167-6105(97)00179-7
  13. Suresh Kumar, K. and Stathopoulos, T. (1999), "Synthesis of non-Gaussian wind pressure time series on low building roofs", Eng. Struct., 21(12), 1086-1100. https://doi.org/10.1016/S0141-0296(98)00069-8

피인용 문헌

  1. Bi-modal spectral method for evaluation of along-wind induced fatigue damage vol.9, pp.4, 2006, https://doi.org/10.12989/was.2006.9.4.255
  2. Error Assessment for Spectral Representation Method in Wind Velocity Field Simulation vol.136, pp.9, 2010, https://doi.org/10.1061/(ASCE)EM.1943-7889.0000058