Title :
A Monte Carlo method for statistical derivatives of arbitrary spectra
Author :
Perez y Perez, L.
Author_Institution :
California State University, Long Beach, CA, USA
Abstract :
The usual method of obtaining statistical derivatives such as significant heights, average periods etc., from sea or response spectra is to assume a particular probability distribution function and then calculate the derivatives from the properties of the assumed distribution. A method of generating time-domain records that satisfy a target spectra density and then calculating the statistical derivatives directly from these records is presented in this paper.
Keywords :
Bandwidth; Distribution functions; Mechanical engineering; Mechanical factors; Oceans; Probability distribution; Random processes; Sea measurements; Time domain analysis; White noise;
Conference_Titel :
OCEANS 82
Conference_Location :
Washington, DC, USA
DOI :
10.1109/OCEANS.1982.1151905
