scholarly journals Fuel model development and fire simulation analysis in the wildland-urban interface : the case of Forest Park, Portland, Oregon

2000 ◽  
Author(s):  
David Kuhn
Keyword(s):  
Simulation Analysis ◽  
Model Development ◽  
Fire Simulation ◽  
Wildland Urban Interface ◽  
Forest Park ◽  
Fuel Model

Model Development for a Composite Core-Pulling Mechanism

2014 ◽  
Vol 494-495 ◽  
pp. 387-390 ◽  
Author(s):  
Yan Fang Yin ◽  
Hua Shun Hu
Keyword(s):  
Mathematical Model ◽  
Mechanical System ◽  
Dimensional Analysis ◽  
Simple Structure ◽  
Simulation Analysis ◽  
Model Development ◽  
Plastic Part ◽  
One Dimensional ◽  
Safety And Reliability ◽  
Plastic Parts

The main purpose of this work was to develop a mathematical model and computer programs for design analysis in composite core-pulling mechanism. The injection mould with slanted guide pillar for two-step core-pulling from the side of the product effects significantly the quality and efficiency of plastic part. The study is a one-dimensional analysis of secondaryejector mechanism, based on a forward marching technique of solution for the simple structure and high safety and reliability. Using the simulation analysis of mechanical system based on Pro/E, the mechanism can solve the problem that plastic parts are difficult to side core pulling in different directions by the use of bevel pillar.

Towards Surrogate Reaction Model Development

2011 ◽  
Author(s):  
N. A. Slavinskaya ◽  
A. Zizin ◽  
U. Riedel
Keyword(s):  
Ignition Delay ◽  
Model Development ◽  
Formation Enthalpy ◽  
Reaction Model ◽  
Optimization Criterion ◽  
Oxidation Reactions ◽  
Two Phase ◽  
Combustion Enthalpy ◽  
Fuel Model ◽  
Kinetics Of

The present paper describes the proposed strategy of fuel model design based on identification of chemical and physical criteria for the selection of initial formula of the reference fuel. The first 8 criteria established and studied in previous papers so far are combustion enthalpy, formation enthalpy, molecular weight, C/H-ratio, sooting tendency index, critical point, two-phase diagram, and distillation curve. With these criteria established, the following candidate formula of the kerosene surrogate blend is defined and optimized to adequately mimic the properties of the real fuel: 10% n-propylcyclohexane, 13% iso-octane, 20% n-dodecane, 23% 1-methylnaphthalene, and 32% n-hexadecane. In this work, the ignition delay time has been studied as the next optimization criterion. To keep the model size small, the core reaction mechanism — the skeletal kinetics of n-heptane and iso-octane combustion including aromatics formation, developed earlier — is extended by n-propylcyclohexane, 1-methylnaphthalene, n-dodecane, and n-hexadecane sub-models. The lumped mechanisms for larger n-alkanes are constructed in a similar way to that for n-decane. The n-propylcyclohexane oxidation sub-model is derived from a skeletal mechanism for the low and high temperature cyclohexane oxidation. Reactions for 1-methylnaphthlene oxidation are included in the sub-mechanism for the formation of aromatics up to 5 ringed molecules. The mechanism includes 189 species and 1125 reactions. The proposed sub-models and overall mechanism are validated against experimental data obtained in shock tubes and in jet stirred reactor.s The simulations of ignition delay data for all hydrocarbons and their mixtures, i.e. for kerosene, are in good agreement with the measured data.

scholarly journals Modeling and Simulation Analysis of Aprepitant Pharmacokinetics in Pediatric Patients With Postoperative or Chemotherapy-Induced Nausea and Vomiting

2020 ◽  
Vol 25 (6) ◽  
pp. 528-539
Author(s):  
Anne Chain ◽  
Rebecca Wrishko ◽  
Grygoriy Vasilinin ◽  
Samer Mouksassi
Keyword(s):  
Pediatric Patients ◽  
Simulation Analysis ◽  
Pediatric Population ◽  
Plasma Concentrations ◽  
Model Development ◽  
Postoperative Nausea And Vomiting ◽  
Nausea And Vomiting ◽  
Fixed Dose ◽  
Population Pharmacokinetic ◽  
Population Pk

OBJECTIVES Aprepitant is effective for the prevention of chemotherapy-induced or postoperative nausea and vomiting (CINV/PONV). The aim of this study was to develop a population pharmacokinetic (PK) model of aprepitant in pediatric patients and to support dosing recommendations for oral aprepitant in pediatric patients at risk of CINV. METHODS A population PK model was constructed based on data from 3 clinical studies in which children (6 months to 12 years) and adolescents (12–19 years) were treated with a 3-day regimen of oral aprepitant (capsules or suspension), with or without intravenous fosaprepitant on day 1 (CINV), or a single dose of oral aprepitant (capsules or suspension; PONV). Nonlinear mixed-effects modeling was used for model development, and a stepwise covariate search determined factors influencing PK parameters. Simulations were performed to guide final dosing strategies of aprepitant in pediatric patients. RESULTS The analysis included 1326 aprepitant plasma concentrations from 147 patients. Aprepitant PK was described by a 2-compartment model with linear elimination and first-order absorption, with allometric scaling for central and peripheral clearance and volume using body weight, and a cytochrome P450 3A4 maturation component for the effect of ontogeny on systemic clearance. Simulations established that application of a weight-based (for those <12 years) and fixed-dose (for those 12–17 years) dosing regimen results in comparable exposures to those observed in adults. CONCLUSIONS The developed population PK model adequately described aprepitant PK across a broad pediatric population, justifying fixed (adult) dosing for adolescents and weight-based dosing of oral aprepitant for children.

Fuel model development for the Greek East-Mediterranean forest litter layer

2012 ◽  
Vol 37 (8) ◽  
pp. 597-611 ◽  
Author(s):  
Miltiadis Boboulos ◽  
Michael R.I. Purvis ◽  
Stanimir Ivanov Penchev
Keyword(s):  
Model Development ◽  
Forest Litter ◽  
Mediterranean Forest ◽  
Litter Layer ◽  
East Mediterranean ◽  
Fuel Model ◽  
Greek East

scholarly journals FY21 Progress Report on BISON Metallic Fuel Model Development and V&V Using EBR-II Legacy Data

2021 ◽  
Author(s):  
Yinbin Miao ◽  
Aaron Oaks ◽  
Abdellatif Yacout ◽  
Christopher Matthews ◽  
Stephen Novascone
Keyword(s):  
Model Development ◽  
Progress Report ◽  
Metallic Fuel ◽  
Fuel Model ◽  
Legacy Data

Antecedents of learners' mental model development

2008 ◽  
Author(s):  
Nicole Kohari ◽  
Robert Lord ◽  
Joelle Elicker ◽  
Steven Ash ◽  
Bryce Hruska
Keyword(s):  
Mental Model ◽  
Model Development
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