Model improvement with experimental design for identifying error sources in a computational model

Author(s):  
Hyejeong Son ◽  
Byeng D. Youn ◽  
Taejin Kim
2014 ◽  
Vol 10 (7) ◽  
pp. 1978-1986 ◽  
Author(s):  
R. J. Flassig ◽  
G. Maubach ◽  
C. Täger ◽  
K. Sundmacher ◽  
M. Naumann

A computational model predicts biphasic activation of γH2AX by DNA-PKcs and ATM-P upon DNA damage, which is induced by ionizing irradiation (IR).


Author(s):  
Maxime Lecchi ◽  
Stéphane Hertz Clemens ◽  
Philippe Notarianni ◽  
Magali Polo

In the field of defects assessment, mechanical damage severity analysis is an issue of interest for many pipelines operators [1]. Indeed, common literature fatigue criteria [2] [3] [4] [5] often give underestimated dent lifetimes compared with experimental results. This causes repairs which could be avoided, therefore more predictive criteria would generate a significant maintenance costs saving. This paper presents an improved method developed at CRIGEN (GDF SUEZ research center dedicated to gas and new energies) to assess dent defects subject to fatigue loadings. A realistic computational model based on the finite elements method has thus been developed. An analytic formulation of the stress concentration factor (SCF) giving more realistic results has then been set, allowing a classical fatigue analysis with S-N curves to be performed. A specific software plug-in has been developed to automate the creation of the finite elements models. In these models dents are created at a realistic pressure with regard to the pipe characteristics. Then damaged pipe is exposed to a pressure variation to determine the maximal SCF. After validation based on tests results, a simulated experimental design which covers diameters from 8 inches to 36 inches and steels from A37 to X70 has been set. Different indentation tools and different strokes have also been defined, resulting in 1080 simulations. As a conclusion, this paper shows the method leading to the analytic formulation of the SCF allowing the fatigue assessment.


2018 ◽  
Author(s):  
Tzvetomir Tzvetanov

AbstractIn a study that investigated the putative neuronal origin of suppression and facilitation in human motion perception Schallmo et al. (2018) used various techniques to investigate how motion perception is shaped by excitatory and inhibitory interactions within hMT+ or earlier areas. They further proposed that neuronal normalization is a sufficient account of the behavioural results, discounting accepted and precise neuronal mechanisms of excitation or inhibition. In this Research Advance, it is shown (1) that once the full computational model that predicts the psychophysical results is defined, it is not “divisive normalization” but actually excitatory and inhibitory processes that are the neuronal mechanisms shaping facilitation and suppression in the behavioural domain, then (2) that the experimental design they used allows a quantitative comparison and usage of such “contrast–size tuning” data.


Author(s):  
Scott N. Walsh ◽  
Tim M. Wildey ◽  
John D. Jakeman

We consider the utilization of a computational model to guide the optimal acquisition of experimental data to inform the stochastic description of model input parameters. Our formulation is based on the recently developed consistent Bayesian approach for solving stochastic inverse problems, which seeks a posterior probability density that is consistent with the model and the data in the sense that the push-forward of the posterior (through the computational model) matches the observed density on the observations almost everywhere. Given a set of potential observations, our optimal experimental design (OED) seeks the observation, or set of observations, that maximizes the expected information gain from the prior probability density on the model parameters. We discuss the characterization of the space of observed densities and a computationally efficient approach for rescaling observed densities to satisfy the fundamental assumptions of the consistent Bayesian approach. Numerical results are presented to compare our approach with existing OED methodologies using the classical/statistical Bayesian approach and to demonstrate our OED on a set of representative partial differential equations (PDE)-based models.


2018 ◽  
Vol 41 ◽  
Author(s):  
Wei Ji Ma

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.


2019 ◽  
Vol 42 ◽  
Author(s):  
J. Alfredo Blakeley-Ruiz ◽  
Carlee S. McClintock ◽  
Ralph Lydic ◽  
Helen A. Baghdoyan ◽  
James J. Choo ◽  
...  

Abstract The Hooks et al. review of microbiota-gut-brain (MGB) literature provides a constructive criticism of the general approaches encompassing MGB research. This commentary extends their review by: (a) highlighting capabilities of advanced systems-biology “-omics” techniques for microbiome research and (b) recommending that combining these high-resolution techniques with intervention-based experimental design may be the path forward for future MGB research.


1978 ◽  
Vol 48 ◽  
pp. 7-29
Author(s):  
T. E. Lutz

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.


2011 ◽  
Vol 20 (4) ◽  
pp. 109-113
Author(s):  
Karen Copple ◽  
Rajinder Koul ◽  
Devender Banda ◽  
Ellen Frye

Abstract One of the instructional techniques reported in the literature to teach communication skills to persons with autism is video modeling (VM). VM is a form of observational learning that involves watching and imitating the desired target behavior(s) exhibited by the person on the videotape. VM has been used to teach a variety of social and communicative behaviors to persons with developmental disabilities such as autism. In this paper, we describe the VM technique and summarize the results of two single-subject experimental design studies that investigated the acquisition of spontaneous requesting skills using a speech generating device (SGD) by persons with autism following a VM intervention. The results of these two studies indicate that a VM treatment package that includes a SGD as one of its components can be effective in facilitating communication in individuals with autism who have little or no functional speech.


2014 ◽  
Vol 73 (4) ◽  
pp. 243-248 ◽  
Author(s):  
Annick Darioly ◽  
Ronald E. Riggio

This study examines how applicants who are relatives of the company’s executives are perceived when they are being considered for a leadership position. In a 2 (Family ties: with vs. without) × 2 (Applicant qualifications: well-qualified vs. underqualified) experimental design, 165 Swiss employees read the applicant’s job application and evaluated the hiring decision, the perceived competence, and the perceived career progress of the target employee. This research showed that even a well-qualified potential employee received a more negative evaluation if the candidate had family ties to the company. Despite their negative evaluation of potential nepotistic hires, the participants nevertheless believed that family ties would boost the career progress of an underqualified applicant. Limitations and implications are discussed.


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