A hierarchy of upper bounds on the response of stochastic systems with large variation of their properties: Random field case

Probabilistic Engineering Mechanics

Volumn 18, Issue 4, 2003, Pages 365-375

  Deodatis, G ^a   Graham Brady, L ^b   Micaletti, R ^c  

^a Columbia University ^*  (United States)

^b Johns Hopkins University   (United States)

^c Consultant ^*  (United States)

Author keywords

Stochastic finite element methods; Stochastic simulation; Variability response functions

Indexed keywords

COMPUTER SIMULATION; ELASTIC MODULI; FINITE ELEMENT METHOD; MONTE CARLO METHODS; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES;

VARIABILITY RESPONSE FUNCTIONS (VRF);

BEAMS AND GIRDERS;

EID: 0242574325     PISSN: 02668920     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.probengmech.2003.08.002     Document Type: Article

References (3)

1. Deodatis G., Micaletti R.C. A spectral-representation-based algorithm for simulation of non-gaussian stochastic processes. Journal of Engineering Mechanics, ASCE. 127:(12):2001;1284-1295.
2. Grigoriu M. Applied Non-Gaussian Processes: Examples, Theory, Simulation, Linear Random Vibration, and MATLAB Solutions. 1995;Prentice Hall.
3. Shinozuka M., Deodatis G. Simulation of stochastic processes by spectral representation. Applied Mechanics Reviews. 44:(4):1991;191-204.