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Uncertainty Analysis in Hydrologic Modelling
Hydrologic modelsHydrologic model differ regarding hydrologic processes, their parameters, inputs and outputs. Consequently, the results of different...
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Test Data Measurement Uncertainty Analysis
The Structural Validation Branch (AFRL/RQVV) is a research and development test organization that supports internal (Air Force) and external...
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Sensitivity and Uncertainty Analysis
Applying a fire risk assessment requires simplifying assumptions, the use of limited data, elicitation of engineering judgment, and the use of...
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Test Data Measurement Uncertainty Analysis
The Structural Validation Branch (AFRL/RQVV) provides test services for internal and external customers covering a wide range of research and...
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Uncertainty analysis for design of a graphene resonant gyroscope
With considerably small structure and ultrahigh sensitivity, the graphene resonant gyroscope has been widely used in aviation, aerospace and deep-sea...
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Uncertainty analysis of 137Cs measured by shipborne device for radioactive monitoring
Uncertainty is a crucial indicator of the performance of monitoring devices. Analyzing and calculating uncertainty is a necessary prerequisite for...
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UNCERTAINTY ANALYSIS OF THE ELECTROSTATIC TRACTOR CONTROL PERFORMANCE
The electrostatic tractor concept is an active debris removal method that has been proposed to remove retired satellites from Geostationary Earth...
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Experimental Uncertainty Analysis on Drillstring-Borehole Contact
The drillstring vibration response is subject to uncertainty due to the operating speed, manufacturing tolerance and downhole conditions. A...
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Uncertainty Budgets
All measurement numbers have finite accuracy, and it is good practice to always state the uncertainty in a measurement. The uncertainty is typically...
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Analysis of the Uncertainty of High-Speed Rail Noise Predictions
The effects of noise from future railway schemes are assessed using validated prediction methods that rely on multiple input parameters and...
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Uncertainty analysis of honeycomb sandwich composite radome under imprecise probability
Uncertainty is widely present in composite structures, and the probabilistic model is one of the most common ways to describe uncertainty. In some...
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Uncertainty and Sensitivity Analysis
Uncertainty in engineering systems comes from various sources such as manufacturing imprecision, assembly errors, model variation, and stochastic...
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A collaborative quasi-Monte Carlo uncertainty propagation analysis method for multiple types of epistemic uncertainty quantified by probability boxes
Various epistemic uncertainties arise in practical engineering problems. In this paper, probability boxes (p-boxes) are used to unify multiple types...
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Uncertainty Distribution Estimation Based on Unified Uncertainty Analysis Under Probabilistic, Evidence, Fuzzy and Interval Uncertainties
A unified uncertainty analysis method for estimating uncertainty distribution is proposed to deal with the uncertain propagation problem involving...
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Combining sensitivity and uncertainty analysis to efficiently quantify parametric uncertainties in NVH system simulation models
The acoustic and structural dynamic properties of vehicles—often referred to as Noise, Vibration, Harshness (NVH)—form a crucial criterion during...
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Uncertainty analysis of thermal stresses in shell structure subjected to thermal loads
This work is focused on develo** a stochastic model to study the effect of randomness in material properties of functionally graded material, of...
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An efficient uncertainty propagation analysis method of non-parameterized P-boxes based on dimension-reduction integral and maximum entropy estimation
The purpose of the non-parameterized P-box uncertainty propagation analysis is to calculate the cumulative distribution function (CDF) bounds of the...
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Robust Flutter Analysis Considering Control Surface Aerodynamic Uncertainty
To reduce the conservation of robust flutter analysis results, only the uncertainty of control surface unsteady aerodynamic was modeled. The...
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A surrogate model for uncertainty quantification and global sensitivity analysis of nonlinear large-scale dome structures
Full-scale dome structures intrinsically have numerous sources of irreducible aleatoric uncertainties. A large-scale numerical simulation of the dome...
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Uncertainty Estimation
Estimating uncertainty is an important part of hydrological data modeling. They offer a measure of confidence in model predictions and aid in...