Abstract: A Gaussian discrete field is considered, whose mean field and covariance matrix are known a priori. When a sample observation set contaminated with noise at some finite points is obtained, the best estimators are evaluated ...

Abstract: Sand liquefaction is a very important problem during earthquake excitation. This paper details the development of equivalent linearization theory for sand, based on both the extended Kalman filter and the weighted global ...

Abstract: The methods of simple kriging (

Abstract: Two issues are focused on: respectively, a problem of sequential updating with plural sets of data, and a problem of optimal allocation of observation points within the scope of conditional stochastic fields. Concerning ...

Abstract: General discussions are presented on an instantaneous optimal prediction control, which includes a series of identification, prediction, and control on a single degree of freedom (SDOF) system. First, a method for the ...

Abstract: Basic consideration is made on how comprehensively we can evaluate potential seismic risk of lifeline systems and gain an insight into the safety by way of information entropy, which transmits information of various kinds ...

Abstract: This paper presents within the scope of the theory of static elasticity a derivation of soil spring constant in longitudinal direction of a buried pipeline in the seismic design. It is found that the spring constant depends ...

Abstract: In the past, interpolation of random fields was successfully treated by Kriging methods for Gaussian fields, and by conditional simulation techniques for a class of non-Gaussian translation fields. Recently, bootstrap ...

Abstract: This paper describes an effective method of obtaining covariances in recursive form for a multiple‐degree of freedom linear structural system subjected to multiple support nonstationary seismic excitations. The study is ...