A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process

Probabilistic Engineering Mechanics

Volumn 26, Issue 4, 2011, Pages 511-519

  Shields, M D ^a   Deodatis, G ^b   Bocchini, P ^c  

^a WEIDLINGER ASSOCIATES INC   (United States)

^b Department of Earth and Environmental Sciences   (United States)

^c Lehigh University   (United States)

Author keywords

Non Gaussian stochastic fields and processes; Simulation; Spectral Representation Method; Translation fields and processes

Indexed keywords

COMPATIBILITY CONDITIONS; COMPUTATIONAL EFFORT; ENSEMBLE AVERAGING; GAUSSIANS; ITERATIVE METHODOLOGY; ITERATIVE SCHEMES; NON-GAUSSIAN; NON-GAUSSIAN PROBABILITY DENSITY FUNCTION; NON-GAUSSIAN PROCESS; NON-GAUSSIAN STOCHASTIC FIELDS; NUMERICAL EXAMPLE; OPTIMIZATION APPROACH; SIMULATION; SPECTRAL REPRESENTATIONS; STATIONARY STOCHASTIC PROCESS; TRANSLATION PROCESS;

DENSITY FUNCTIONAL THEORY; GAUSSIAN NOISE (ELECTRONIC); POWER SPECTRAL DENSITY; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; SPECTRAL DENSITY; STOCHASTIC SYSTEMS;

GAUSSIAN DISTRIBUTION;

EID: 80052595676     PISSN: 02668920     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.probengmech.2011.04.003     Document Type: Article

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