Uncertainty and sensitivity analysis of creep models for uncorrelated and correlated input parameters

2010 ◽  
Vol 32 (11) ◽  
pp. 3758-3767 ◽  
Author(s):  
Holger Keitel ◽  
Andrea Dimmig-Osburg
Keyword(s):  
Sensitivity Analysis ◽  
Uncertainty And Sensitivity Analysis ◽  
Input Parameters ◽  
Creep Models

scholarly journals The weakest link: uncertainty and sensitivity analysis of extinction probability estimates for tsetse (Glossina spp) populations

2019 ◽  
Author(s):  
Elisha B. Are ◽  
John W. Hargrove
Keyword(s):  
Sensitivity Analysis ◽  
Life History ◽  
Mortality Rate ◽  
Adult Mortality ◽  
Extinction Probability ◽  
Daily Mortality ◽  
Adult Females ◽  
Tsetse Population ◽  
Uncertainty And Sensitivity Analysis ◽  
Input Parameters

AbstractBackgroundA relatively simple life history allows us to derive an expression for the extinction probability of populations of tsetse, vectors of African sleeping sickness. We present the uncertainty and sensitivity analysis of extinction probability for tsetse population, to offer key insights into parameters in the control/eradication of tsetse populations.MethodsWe represent tsetse population growth as a branching process, and derive closed form estimates of population extinction from that model. Statistical and mathematical techniques are used to analyse the uncertainties in estimating extinction probability, and the sensitivity of the extinction probability to changes in input parameters representing the natural life history and vital dynamics of tsetse populations.ResultsFor fixed values of input parameters, the sensitivity of extinction probability depends on the baseline parameter values. For example, extinction probability is more sensitive to the probability that a female is inseminated by a fertile male when daily pupal mortality is low, whereas the extinction probability is more sensitive to daily mortality rate for adult females when daily pupal mortality, and extinction probabilities, are high. Global uncertainty and sensitivity analysis showed that daily mortality rate for adult females has the highest impact on the extinction probability.ConclusionsThe strong correlation between extinction probability and daily female adult mortality gives a strong argument that control techniques to increase daily female adult mortality may be the single most effective means of ensuring eradication of tsetse population.Author summaryTsetse flies (Glossina spp) are vectors of Trypanosomiasis, a deadly disease commonly called sleeping sickness in humans and nagana in livestock. The relatively simple life history of tsetse enabled us to model its population growth as a stochastic branching process. We derived a closed-form expression for the probability that a population of tsetse goes extinct, as a function of death, birth, development and insemination rates in female tsetse. We analyzed the sensitivity of the extinction probability to the different input parameters, in a bid to identify parameters with the highest impact on extinction probability. This information can, potentially, inform policy direction for tsetse control/elimination. In all the scenarios we considered, the daily mortality rate for adult females has the greatest impact on the magnitude of extinction probability. Our findings suggest that the mortality rate in the adult females is the weakest link in tsetse life history, and this fact should be exploited in achieving tsetse population control, or even elimination.

scholarly journals Preliminary uncertainty and sensitivity analysis of the Molten Salt Fast Reactor steady-state using a Polynomial Chaos Expansion method

2021 ◽  
Vol 159 ◽  
pp. 108311
Author(s):  
Mario Santanoceto ◽  
Marco Tiberga ◽  
Zoltán Perkó ◽  
Sandra Dulla ◽  
Danny Lathouwers
Keyword(s):  
Sensitivity Analysis ◽  
Steady State ◽  
Molten Salt ◽  
Fast Reactor ◽  
Polynomial Chaos ◽  
Expansion Method ◽  
Polynomial Chaos Expansion ◽  
Chaos Expansion ◽  
Uncertainty And Sensitivity Analysis

scholarly journals Correction to: Assessing an efficient hybrid of Monte Carlo technique (GSA-GLUE) in Uncertainty and Sensitivity Analysis of vanGenuchten Soil Moisture Characteristics Curve

2021 ◽  
Author(s):  
Samaneh Etminan ◽  
Vahidreza Jalali ◽  
Majid Mahmoodabadi ◽  
Abbas Khashei siuki ◽  
Mohsen Pourreza Bilondi
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo ◽  
Soil Moisture ◽  
Monte Carlo Technique ◽  
Uncertainty And Sensitivity Analysis

Uncertainty and sensitivity analysis of a LBLOCA in a PWR Nuclear Power Plant: Results of the Phase V of the BEMUSE programme

2011 ◽  
Vol 241 (10) ◽  
pp. 4206-4222 ◽  
Author(s):  
M. Perez ◽  
F. Reventos ◽  
L. Batet ◽  
A. Guba ◽  
I. Tóth ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Uncertainty And Sensitivity Analysis

scholarly journals Uncertainty and sensitivity analysis of early exposure results with the MACCS reactor accident consequence model

1995 ◽  
Vol 48 (2) ◽  
pp. 91-127 ◽  
Author(s):  
J.C. Helton ◽  
J.D. Johnson ◽  
A.W. Shiver ◽  
J.L. Sprung
Keyword(s):  
Sensitivity Analysis ◽  
Early Exposure ◽  
Reactor Accident ◽  
Uncertainty And Sensitivity Analysis ◽  
Accident Consequence

scholarly journals Propagation of uncertainty and sensitivity analysis in an integral oil‐gas plume model

2016 ◽  
Vol 121 (5) ◽  
pp. 3488-3501 ◽  
Author(s):  
Shitao Wang ◽  
Mohamed Iskandarani ◽  
Ashwanth Srinivasan ◽  
W. Carlisle Thacker ◽  
Justin Winokur ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Plume Model ◽  
Propagation Of Uncertainty ◽  
Uncertainty And Sensitivity Analysis ◽  
Oil Gas

Uncertainty and Sensitivity Analysis of Different Models of Brake Squeal

PAMM ◽  
2014 ◽  
Vol 14 (1) ◽  
pp. 277-278 ◽  
Author(s):  
Andreas Hanselowski ◽  
Michael Hanss
Keyword(s):  
Sensitivity Analysis ◽  
Brake Squeal ◽  
Uncertainty And Sensitivity Analysis
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