Abstract: A simulation algorithm is proposed to generate sample functions of a stationary, multivariate stochastic process according to its prescribed cross-spectral density matrix. If the components of the vector process correspond ...

Abstract: A methodology is developed to evaluate the spectral‐distribution‐free upper bounds of the response variability of stochastic systems. The structural systems examined consist of linearly elastic trusses and frames subjected ...

Abstract: This work, consisting of two papers, introduces the “weighted integral method” for calculating both the response variability and the reliability of stochastic frame structures. In the first paper, an exact expression of ...

Abstract: Analyzing the behavior of a masonry structure is a complex issue due to the complicated nature of masonry. Moreover, random spatial variation of masonry properties due to workmanship quality makes the prediction of its ...

Abstract: An autoregressive model for univariate, one‐dimensional, nonstationary, Gaussian random processes with evolutionary power spectra is introduced. At the same time, an efficient technique for numerically generating sample ...

Abstract: A methodology to analytically and numerically evaluate the spectral distribution‐free upper bounds of the response variability of stochastic systems is developed. The structural systems examined consist of linearly elastic, ...

Abstract: A fundamental theory of evolutionary stochastic waves is developed based on Priestley's evolutionary power‐spectrum theory and a technique for digitally generating samples of such waves is introduced as a further extension ...

Abstract: After obtaining in a companion paper an exact expression of the stochastic stiffness matrix in terms of random variables called weighted integrals, the response variability and the safety index of stochastic frame structures ...

Abstract: The subject of this paper is the simulation of multi-dimensional, homogeneous, Gaussian stochastic fields using the spectral representation method. Following this methodology, sample functions of ...

Abstract: The subject of this paper is the simulation of one-dimensional, uni-variate, stationary, Gaussian stochastic processes using the spectral representation method. Following this methodology, sample ...