The present paper proposes a new diagnostic tool for the structural health monitoring that employs a Kriging Interpolation. Structural health monitoring is a noticeable technology for aged civil structures. Most of the structural health monitoring systems adopts parametric method based on modeling or non-parametric method such as artificial neural networks or response surfaces. The conventional...

This study presents how to carry out RBDO when surrogate models are used to represent true performance functions. The Dynamic Kriging (D-Kriging) method is used to generate surrogate models, and stochastic sensitivity analysis is introduced to compute sensitivities of probabilistic constraints with respect to the design variables, which are the mean values of the input independent or correlated...

The high computational cost of population based optimization methods, such as multiobjective genetic algorithms (MOGAs), has been preventing applications of these methods to realistic engineering design problems. The main challenge is to devise methods that can significantly reduce the number of simulation (objective/constraint functions) calls. We present a new multi-objective design optimizat...

This paper compares several Gaussian-processbased surrogate modeling methods applied to black-box optimization by means of the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), which is considered state-of-the-art in the area of continuous black-box optimization. Among the compared methods are the Modelassisted CMA-ES, the Robust Kriging Metamodel CMAES, and the Surrogate CMA-ES. In add...

Abstract Missing data is a frequent problem in meteorological and hydrological temporal observation sets. Finding effective solutions to this essential because complete time series are required conduct reliable analyses. This study used daily rainfall from 60 rain gauges spatially distributed within Portugal's Guadiana River basin over 30-year reference period (1976–2005). Gap-filling approache...

Many spatial interpolation methods perform well for gentle terrains when producing spatially continuous surfaces based on ground point data. However, few interpolation methods perform satisfactorily for complex terrains. Our objective in the present study was to analyze the suitability of several popular interpolation methods for complex terrains and propose an optimal method. A data set of 153...

Spatial estimations are increasingly used to estimate geocoded ambient particulate matter (PM) concentrations in epidemiologic studies because measures of daily PM concentrations are unavailable in most U.S. locations. This study was conducted to a) assess the feasibility of large-scale kriging estimations of daily residential-level ambient PM concentrations, b) perform and compare cross-valida...

since the change of land use accrued in the iran, especially in northern iran, this research aims tocompare the spatial variability of soil properties in three adjacent land uses including cultivated by wheat lands, grazing lands and forest lands covered by juniperus sp,  fagus orientalis, quercus castanifolia, and acer velotinum species in kiasar region, mazandaran province, northern iran. som...

the standardized precipitation index (spi) has become a popular measure of drought across the globe. in this study, standardized precipitation index (spi) was used in annual period of time to survey on drought. also, in order to zonation frequency of drought, geographic information system (gis) software and kriging method used for extracting dry areas. the zoning maps show most severe drought i...