A One Step Prediction Error Approach to the Identification of Viscoplastic Material Models

Author(s):  
Ola Wall ◽  
Jan Holst
2008 ◽  
Vol 141-143 ◽  
pp. 653-658 ◽  
Author(s):  
Stefan Benke ◽  
G. Laschet

The behavior of semi-solid alloys is quite different in tension, compression and shear and depends strongly on the morphology of the micro-structure. This article outlines a generalized viscoplastic material model for semi-solid alloys which reflects this complex viscoplastic behavior. From the generalized model a number of well known yield functions and viscoplastic material models for semi-solid and solid materials can be reproduces. The general model is applied to describe the behavior of the semi-solid A356 alloy below the coherency temperature during equiaxed solidification.


PAMM ◽  
2009 ◽  
Vol 9 (1) ◽  
pp. 711-712
Author(s):  
Kim-Henning Sauerland ◽  
Andreas Schneidt ◽  
Rolf Mahnken

1994 ◽  
Vol 3 (2) ◽  
pp. 218-222 ◽  
Author(s):  
Jan M. Olaf ◽  
Matthias Sester ◽  
Andreas Hönig ◽  
Patrice L'Huillier

2002 ◽  
Vol 34 (12) ◽  
pp. 795-808 ◽  
Author(s):  
Thomas Kletschkowski ◽  
Uwe Schomburg ◽  
Albrecht Bertram

2008 ◽  
Vol 45 (1) ◽  
pp. 150-162
Author(s):  
R. McVinish

The class of processes formed as the aggregation of Ornstein-Uhlenbeck processes has proved useful in modeling time series from a number of areas and includes several interesting special cases. This paper examines the second-order properties of this class. Bounds on the one-step prediction error variance are proved and consistency of the minimum contrast estimation is demonstrated.


1998 ◽  
Vol 120 (1) ◽  
pp. 7-12 ◽  
Author(s):  
A. F. Fossum

Traditionally stress-strain data are used to estimate material parameters in viscoplastic material models. Since the models exist in rate form, they must be integrated in time for the duration of the laboratory tests to give response models for parameter estimation. In this paper the alternative is considered in which the rate form of the material models is fitted to time differentiated stress strain data. Material parameteres, their 95 percent confidence intervals, and their correlation coefficients are compared with their counterparts determined from the more traditional stress versus strain form of the data. It was found that the use of the stress rate form of the data gave well determined parameter estimates with equivalent or superior fitting statistics to the same data can be used to extract significant and distinct sensitivity coefficients to enchance the overall robustness of an optimization algorithm for a parameter estimation.


2020 ◽  
Vol 65 (1) ◽  
pp. e00779-20
Author(s):  
Min Kan ◽  
Hai-Yan Shi ◽  
Bing Han ◽  
Yue-E Wu ◽  
Qian Li ◽  
...  

ABSTRACTThe pharmacological activity of ceftriaxone depends on the unbound concentration. However, direct measurement of unbound concentrations is obstructive, and high individual variability of the unbound fraction of ceftriaxone was shown in children. We aim to evaluate and validate a method to predict unbound ceftriaxone concentrations in pediatric patients. Ninety-five pairs of concentrations (total and unbound) from 92 patients were measured by the bioanalysis method that we developed. The predictive performance of the three equations (empirical in vivo equation, disease-adapted equation, and multiple linear regression equation) was assessed by the mean absolute prediction error (MAPE), the mean prediction error (MPE), the proportions of the prediction error within ±30% (P30) and ±50% (P50), and linear regression of predicted versus actual unbound levels (R2). The average total and unbound ceftriaxone concentrations were 126.18 ± 81.46 μg/ml and 18.82 ± 21.75 μg/ml, and the unbound fraction varied greatly from 4.75% to 39.97%. The MPE, MAPE, P30, P50, and R2 of the empirical in vivo equation, disease equation, and multiple linear equation were 0.17 versus 0.00 versus 0.06, 0.24 versus 0.15 versus 0.27, 63.2% versus 89.5% versus 74.7%, 96.8% versus 97.9% versus 86.3%, and 0.8730 versus 0.9342 versus 0.9315, respectively. The disease-adapted equation showed the best predictive performance. We have developed and validated a bioanalysis method with one-step extraction pretreatment for the determination of total ceftriaxone concentrations, and a prediction equation of the unbound concentration is recommended. The proposed method can facilitate clinical practice and research on unbound ceftriaxone in children. (This study has been registered at ClinicalTrials.gov under identifier NCT03113344.)


1983 ◽  
Vol 20 (2) ◽  
pp. 405-408 ◽  
Author(s):  
Paul Kabaila

In This paper we answer the following question. Is there any a priori reason for supposing that there is no more than one set of ARMA model parameters minimising the one-step-ahead prediction error when the true system is not in the model set?


Sign in / Sign up

Export Citation Format

Share Document