scholarly journals PREDICTION METHOD ON DYNAMIC DEFORMATION PROPERTIES OF CLAYS SUBJECTED TO LONG TERM CONSOLIDATION AND OVERCONSOLIDATION HISTORY : Estimation method on dynamic deformation properties of soils (I)

1988 ◽  
Vol 384 (0) ◽  
pp. 97-105
Author(s):  
TOSHIO ADACHI ◽  
AKIRA ENAMI
Keyword(s):  
Dynamic Deformation ◽  
Estimation Method ◽  
Prediction Method ◽  
Deformation Properties

Estimation of LOS level in hospitalization with multiple attributes: taking patients with kidney disease as an example

2019 ◽  
Author(s):  
Xinli Zhang ◽  
Xue Shen
Keyword(s):  
Kidney Disease ◽  
Estimation Method ◽  
Projection Pursuit ◽  
Prediction Method ◽  
Large Hospital ◽  
Regular Treatment ◽  
Discriminant Model ◽  
Multi Level ◽  
Multiple Attributes

Abstract Abstract: Aim: Thinking of the relationship between Multiple attributes and length of stay(LOS).This paper provide LOS level prediction method with applying a classification estimation of multi-avariables statistic,also provides suggestions of diversion management for kidney disease patients. Methods: We use three steps to finish the estimation. Firstly, Using the correlation-coefficient between the variable and LOS to find some sensitive factors; secondly,using projection pursuit clustering analysis to find the weight of each factor, then calculation the weighting value to discriminant the LOS level.thirdly, using mean test to give the multi-level classification of LOS based on the most sensitive factor. Results: We use 12547 kidney disease patients’ data in the year 2016 from a large hospital in the Department of Nephrology to applying the estimation method. The correlations results shows that the influence of variables on LOS are ranked as disease types>age>cost.The means test results demonstrate that patients with kidney disease are divided into 3 levels between 2-20 days of los. Short-term patients (los=2-9) are mainly treated with regular treatment; medium-term patients (los=10-15) are accompanied by emergency and acute attacks; long-term patients (los=16-20) need more treatments and long hospital observation period.Tested by multi-attribute multi-level discriminant model, Indicated that the kidney patients sample data can be modeled well by the builded models. Conclusion: We build the multi-variable multi-level discriminant model for LOS estimation, which is successively applied in kidney disease. The research offers a new way for LOS estimation through the Multi-variables. Key words:LOS; Multi-variable multi-level; Projection pursuit; Clustering and discriminant

Prediction Method for Plastic Collapse of Pipes Subjected to Combined Bending and Torsion Moments

2010 ◽  
Author(s):  
Yinsheng Li ◽  
Kunio Hasegawa ◽  
Phuong H. Hoang ◽  
Bostjan Bezensek
Keyword(s):  
Entire Range ◽  
Estimation Method ◽  
Prediction Method ◽  
Bending Moment ◽  
Combined Loading ◽  
Plastic Collapse ◽  
Finite Element Analyses ◽  
Pure Torsion ◽  
Stainless Steel Pipe ◽  
Service Inspection

When a crack is detected in a pipe during in-service inspection, the failure estimation method given in the codes such as ASME Boiler and Pressure Vessel Code Section XI non-mandatory Appendix C or JSME S NA-1-2008 Appendix E-8 can be applied to assess the integrity of the pipe. In the current editions of these codes, the failure estimation method is provided for bending moment and pressure. Torsion load is assumed to be relatively small and is not considered in the method. In this paper, finite element analyses are conducted for 24-inch stainless steel pipe with a circumferential surface crack subjected to the combined bending and torsion moments, focusing on large and pure torsion moments. Based on the analysis results, a prediction method for plastic collapse under the combined loading conditions of bending and torsion is proposed for the entire range of torsion moments.

Evaluation of Leakage Probability of Non-Asbestos Fiber Sheet Gasket at Elevated Temperature Based on Percolation Theory

2010 ◽  
Author(s):  
Masahiro Hagihara ◽  
Hirokazu Tsuji ◽  
Atsushi Yamaguchi
Keyword(s):  
High Temperature ◽  
Percolation Theory ◽  
Life Prediction ◽  
Prediction Method ◽  
Acoustic Tomography ◽  
Leakage Path ◽  
Temperature Environment ◽  
Fiber Sheet ◽  
Bolted Flange

A long-term life prediction method for a compressed fiber sheet gasket under a high-temperature environment is studied. Non-asbestos compressed fiber sheet gaskets are now being used as a substitute for asbestos in the bolted flange joint, for instance petrochemical factories. Consequently, there is a real need for a technology to predict the lifetime of non-asbestos compressed fiber sheet gaskets quantitatively. In this report, the facing surface of the gasket and flange is visualized with scanning acoustic tomography (SAT). Voids were observed on the facing surface of the gasket and increased with the increase in exposure time at high temperature. If a leakage path for inner fluids is created by the increasing number of voids, the leak occurs on the facing surface of the gasket. The probability of a leak due to voids and the lifetime of this gasket are predicted by applying the percolation theory, which describes the connectedness of clusters.

scholarly journals Spatial Analysis of Seasonal Precipitation Using Various Interpolation Methods in the Euphrates Basin, Turkey

2021 ◽  
Author(s):  
Okan Mert Katipoğlu
Keyword(s):  
Spatial Distribution ◽  
Geographical Information Systems ◽  
Polynomial Interpolation ◽  
Estimation Method ◽  
Summer Precipitation ◽  
Winter Precipitation ◽  
Geographical Information ◽  
Seasonal Precipitation ◽  
Interpolation Methods

Abstract It is vital to accurately map the spatial distribution of precipitation, which is widely used in many fields such as hydrology, climatology, meteorology, ecology, and agriculture. In this study, it was aimed to reveal the spatial distribution of seasonal long-term average precipitation in the Euphrates Basin by using various interpolation methods. For this reason, Simple Kriging (SK), Ordinary Kriging (OK), Universal Kriging (UK), Ordinary CoKriging (OCK), Empirical Bayesian Kriging (EBK), Radial Basis Functions (Completely Regularized Spline (CRS), Thin Plate Spline (TPS), Multiquadratic, Inverse Multiquadratic (IM), Spline with Tensor (ST)), Local Polynomial Interpolation (LPI), Global Polynomial Interpolation (GPI), Inverse Distance Weighting (IDW) methods have been applied in the Geographical Information Systems (GIS) environment. Long-term seasonal precipitation averages between 1966 and 2017 are presented as input for the prediction of precipitation maps. The accuracy of the precipitation prediction maps created was based on root mean square error (RMSE) values obtained from the cross-validation tests. The method of precipitation by interpolation yielding the lowest RMSE was selected as the most appropriate method. As a result of the study, OCK in spring and winter precipitation, LPI in summer precipitation, and OK in autumn precipitation were determined as the most appropriate estimation method.

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