Abstract: A first‐order second‐moment method is proposed to quantify uncertainty about steady‐state pore pressures originating in random spatial variability of soil permeabilities. A Bayesian framework for systematic interpretation ...

Abstract: Consideration of the spatial as well as temporal variation of earthquake ground motions may be important in the design of structures with spatially extended foundations and lifeline systems. In this paper, the ground motion ...

Abstract: A fast and accurate method of generating realizations of a homogeneous Gaussian scalar random process in one, two, or three dimensions is presented. The resulting discrete process represents local averages of a homogeneous ...

Abstract: An approach is developed for approximate random vibration analysis of multidegree hysteretic structures based on the concept of energy balance, i.e., the excitation energy is balanced with the energy the structure dissipates ...

Abstract: Failure of an engineered system is typically associated with extremes in properties and/or loads characterizing the system. Since detailed field studies are usually unavailable, system properties are best modeled as random ...

Abstract: A random‐vibration methodology is formulated for the seismic‐response analysis of linear multisupport‐structural systems. It reduces the response evaluation to that of a series of linear one‐degree systems in a way that ...

Abstract: An equivalent stationary motion model is evaluated for a liquefaction study. This ground motion model transforms a true, nonstationary motion into a segment of a ficticious Gaussian stationary random process. In the ...

Abstract: This paper describes methods for determining and utilizing Markov chains in the evaluation of highway bridge deterioration. Using a data base of 850 bridges in New York State, Markovian transition matrices (MTM) are first ...