The purpose of this article was to investigate the influence uncertain soil parameters on slope stability problems using probability method. most important instability is probably inherent spatial variability properties and its safety factors. method recognized for validity both in practice academic research. This geotechnical risk management involves parameters. In study, randomly selected wer...

Surrogate models are a common tool to perform expensive optimization or uncertainty analysis in cost-effective way. The structure and the application of surrogate is well known, but there still potential for improvement. model can be divided into three parts, which considered separately. sampling plan, black box selection itself. plan presented on basis two case studies. In plans, example FOSS ...

1 Software Engineering College, Zhengzhou University of Light Industry, Zhengzhou 450002, China 2 Engineering Training Center, Zhengzhou University of Light Industry, Zhengzhou, 450002, China 3 Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China a [email protected], b [email protected] , c [email protected], d leijunwei@126...

Uncertain parameters of state-space models have always been a considerable problem. Consider Kalman filter (CKF) and desensitized Kalman filter (DKF) are two methods to solve this problem. Based on the sensitivity matrix respected to the uncertain parameter vector, a special DKF with an analytical gain is given and a new form of the CKF is derived. The mathematical equivalence between the speci...

Architecture-based reliability analysis has gained prominence in the recent years as a way to predict the reliability of a software application during the design phase, before an investment is made in any implementation. To apply this analysis, the parameters comprising the architectural model must be estimated using the limited data and knowledge available during the design phase. These estima...

A novel procedure for the estimating the response sensitivity to input parameters of a complex FE model is presented. The method is specifically directed toward problems involving high-dimensional input parameter spaces, as they are encountered during uncertainty analysis with complex, refined FEmodels. In these cases one is commonly faced with thousands of uncertain parameters and traditional ...

In this paper the focusing principle of Kirchoff migration is described. This allows the introduction of optical focusing techniques that can be used to focus migration. Three focus measures are described that are useful for optimising migration. Simple optimisation routines are implemented that model uncertainties in the migration parameters. The focus measures are then used as cost functions ...