Investigation of a stochastic system from a viewpoint of studying the randomness
propagation process in a physical system starts to play an important role in understanding …

Artificial intelligence and expert system remains a key technology in the 21st century. Using
active controllers, a structure can adaptively adjust its behaviour during dynamic loads. Such …

In conjunction with the formulation of random functions, a family of renewed spectral
representation schemes is proposed. The selected random function serves as a random …

New advances of the probability density evolution method for nonlinear stochastic systems
are presented. The principle of preservation of probability, as a fundamental law of …

随机动力系统中的概率密度演化方程及其研究进展* Page 1 第40 卷第2 期 力学进展 Vol. 40 No.
2 2010 年3 月25 日 ADVANCES IN MECHANICS Mar. 25, 2010 随机动力系统中的概率密度 …

A hybrid probabilistic and interval method for engineering problems described by a mixture
of random and interval variables is presented. Random interval arithmetic for carrying out …

The accuracy and efficiency of two methods for stochastic analysis, the probability density
evolution method (PDEM) and the Monte Carlo simulation (MCS) method, are compared in …

Determining the failure probabilities of high concrete-faced rockfill dams (CFRDs) is an
important component of seismic performance assessment, considering the randomness of …

Abstract Conventional Karhunen-Loeve expansions for simulation of stochastic processes
often encounter the challenge of dealing with hundreds of random variables. For breaking …

Viscoelastic dampers, where fractional derivatives are involved, are often considered for use
to mitigate dynamic response of structures. However, it is not an easy task to obtain the …