Πλοήγηση ανά Θέμα "Probability distributions"
Αποτελέσματα 1-20 από 22
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Accounting for amplitude of excitation in model updating through a hierarchical Bayesian approach: Application to a two-story reinforced concrete building
(2019)Calibrated linear equivalent models of civil structures are often used for response prediction and performance assessment. However, these models are only valid for a narrow range of excitation level for which these models ... -
Aerodynamic shape optimization for minimum robust drag and lift reliability constraint
(2016)A methodology for shape optimization of aerodynamic bodies under uncertainties is presented. Flow-related and geometrical uncertainties are considered and quantified by probability distribution functions. The optimal shape ... -
Analytical solution and optimisation of serial supply chains with multiple nodes, lost sales, continuous review replenishment policies, stochastic lead times and external demand
(2022)This work analyses a serial supply chain with an arbitrary number of nodes (retailer, wholesaler, manufacturer, supplier, etc.). Every node faces supply uncertainty in both replenishment lead time and quantity delivered ... -
Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme
(2019)Ultrasonic Guided Wave(GW) has been proven to be sensitive to small damage. Motivated by the fact that the quantitative relationship between wave scattering and damage intensity can be described by scattering properties, ... -
A Bayesian framework for calibration of multiaxial fatigue curves
(2022)A Bayesian framework is proposed to re-formulate a multiaxial fatigue model and produce probabilistic stress-life fatigue curves from experimental data. The proposed framework identifies the experimentally-driven parameters ... -
Bayesian uncertainty quantification and propagation in molecular dynamics simulations
(2012)A comprehensive Bayesian probabilistic framework is developed for quantifying and calibrating the uncertainties in the parameters of the models (e.g. force-field potentials) involved in molecular dynamics (MD) simulations ... -
A chance-constrained based stochastic dynamic traffic assignment model: Analysis, formulation and solution algorithms
(2006)This paper is concerned with the system optimum-dynamic traffic assignment (SO-DTA) problem when the time-dependent demands are random variables with known probability distributions. The model is a stochastic extension of ... -
A computational framework of kinematic accuracy reliability analysis for industrial robots
(2020)A new computational method to evaluate comprehensively the positional accuracy reliability for single coordinate, single point, multipoint and trajectory accuracy of industrial robots is proposed using the sparse grid ... -
Energy-Momentum for a Charged Nonsingular Black Hole Solution with a Nonlinear Mass Function
(2017)The energy-momentum of a new four-dimensional, charged, spherically symmetric, and nonsingular black hole solution constructed in the context of general relativity coupled to a theory of nonlinear electrodynamics is ... -
Evaluation of probabilistic demands usage for the online dial-a-ride problem
(2019)The objective of this study is to investigate if it is possible to reduce the operational cost of an online Demand Responsive Transportation System (DRT) by using probabilistic trip demands while leaving the optimization ... -
A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements
(2020)Reliable verification and evaluation of the mechanical properties of a layered composite ensemble are critical for industrially relevant applications, however it still remains an open engineering challenge. In this study, ... -
Hierarchical Bayesian calibration and response prediction of a 10-story building model
(2019)This paper presents Hierarchical Bayesian model updating of a 10-story building model based on the identified modal parameters. The identified modal parameters are numerically simulated using a frame model (exact model) ... -
Hierarchical Bayesian uncertainty quantification of Finite Element models using modal statistical information
(2022)This paper develops a Hierarchical Bayesian Modeling (HBM) framework for uncertainty quantification of Finite Element (FE) models based on modal information. This framework uses an existing Fast Fourier Transform (FFT) ... -
Joint modelling of flood peaks and volumes: A copula application for the Danube River
(2016)Flood frequency analysis is usually performed as a univariate analysis of flood peaks using a suitable theoretical probability distribution of the annual maximum flood peaks or peak over threshold values. However, other ... -
LaUV: A Physics-Based UV Light Simulator for Disinfection and Communication Applications
(2021)The sterilization properties of the C-band of the ultraviolet (UV) light have been well-known for many years; however, their application has become more vital and widespread today due to the Covid-19 pandemic. Nevertheless, ... -
Optimal sensor placement for reliable virtual sensing using modal expansion and information theory
(2021)A framework for optimal sensor placement (OSP) for virtual sensing using the modal expansion technique and taking into account uncertainties is presented based on information and utility theory. The framework is developed ... -
Optimal sensor placement for response reconstruction in structural dynamics
(2020)A framework for optimal sensor placement (OSP) for response reconstruction under uncertainty is presented based on information theory. The OSP is selected as the one that maximizes an expected utility function taken as the ... -
Reliability sensitivity analysis of dynamical systems
(2019)The reliability sensitivity analysis of systems subjected to stochastic loading is considered in this chapter. In particular, the change that the probability of failure undergoes due to changes in the distribution parameters ... -
Reliability-based optimal design of fluid filled tanks under seismic excitation
(2003)This work integrates developments in simplified dynamic modeling of unanchored fluid-filled tanks, stochastic modeling of earthquake loading time histories, probabilistic structural analysis tools, cost analyses, and ... -
Smart building's elevator with intelligent control algorithm based on Bayesian networks
(2019)Implementation of the intelligent elevator control systems based on machine-learning algorithms should play an important role in our effort to improve the sustainability and convenience of multi-floor buildings. Traditional ...