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Listar por palabra clave "Uncertainty quantification"

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Adaptation strategies of dam safety management to new climate change scenarios informed by risk indicators

Fluixá Sanmartín, Javier (Universitat Politècnica de València, 2020-12-21)

[ES] Las grandes presas, así como los diques de protección, son infraestructuras críticas cuyo fallo puede conllevar importantes consecuencias económicas y sociales. Tradicionalmente, la gestión del riesgo y la definición ...
Advances on Uncertainty Quantification Techniques for Dynamical Systems: Theory and Modelling

Burgos Simón, Clara (Universitat Politècnica de València, 2021-05-17)

[ES] La cuantificación de la incertidumbre está compuesta por una serie de métodos y técnicas computacionales cuyo objetivo principal es describir la aleatoriedad presente en problemas de diversa índole. Estos métodos son ...
Analisis de la incertidumbre y análisis de sensibilidad del motor Stirling

Ruiz Ortega, Diego (Universitat Politècnica de València, 2020-04-29)

[ES] El alcance de esta tesis de maestría es, a través de diferentes modelos sustitutos, poder analizar cómo las diferentes partes del motor, representadas como entradas, interactúan y afectan en la obtención de la salida, ...
Analytic solution to the generalized delay diffusion equation with uncertain inputs in the random Lebesgue sense

Cortés, J.-C.; Jornet, Marc (John Wiley & Sons, 2021-01-30)

[EN] In this paper, we deal with the randomized generalized diffusion equation with delay:u(t)(t, x) = a(2)u(xx)(t, x) + b(2)u(xx)(t - tau, x),t > tau,0 <= x <= l;u(t,0)=u(t,l)=0,t >= 0;u(t,x)=phi(t,x),0 <= t <= tau,0 <= ...
Building uncertainty-aware mathematical models based on evidence from datasets using grammatical evolution optimization techniques: the case of the obesity dynamics

Parra, Daniel; Hidalgo, J. Ignacio; Velasco, J.M.; Villanueva Micó, Rafael Jacinto (Springer-Verlag, 2024-09-25)

[EN] This paper introduces a methodology to build mathematical models based on evidence and data sets, considering data and model uncertainty. We study the evolution of obesity in the population, being obesity a consequence ...
Calibration of an agent-based simulation model to the data of women infected by Human Papillomavirus with uncertainty

Villanueva Micó, Rafael Jacinto; Hidalgo, J.I.; Cervigon, Carlos; Villanueva-Oller, Javier; Cortés, J.-C. (Elsevier, 2019)

[EN] Recently, the transmission dynamics of the Human Papillomavirus (HPV) has been studied. In previous works, we have designed and implemented a computational model (agent-based simulation model) where the contagion of ...
CFD simulation plus uncertainty quantification of the mixing of two fluid with different density for the Cold-Leg mixing benchmark

Rivera-Durán, Yago; Muñoz-Cobo, J. L.; Berna, C.; Escrivá, A.; Vela, E. (Elsevier, 2021-11)

[EN] This document describes the details of the simulations and uncertainty quantification of the Cold-Leg Mixing benchmark performed at the Institute for Energy Engineering (Polytechnic University of Valencia, Spain). The ...
Combining Polynomial Chaos Expansions and the Random Variable Transformation Technique to Approximate the Density Function of Stochastic Problems, Including Some Epidemiological Models

Calatayud-Gregori, Julia; Chen-Charpentier, Benito M.; Cortés, J.C.; Jornet-Sanz, Marc (MDPI AG, 2019-01)

[EN] In this paper, we deal with computational uncertainty quantification for stochastic models with one random input parameter. The goal of the paper is twofold: First, to approximate the set of probability density functions ...
Computational methods for random differential equations: probability density function and estimation of the parameters

Calatayud Gregori, Julia (Universitat Politècnica de València, 2020-03-05)

[EN] Mathematical models based on deterministic differential equations do not take into account the inherent uncertainty of the physical phenomenon (in a wide sense) under study. In addition, inaccuracies in the collected ...
COMPUTATIONAL METHODS FOR RANDOM DIFFERENTIAL EQUATIONS: THEORY AND APPLICATIONS

Navarro Quiles, Ana (Universitat Politècnica de València, 2018-03-01)

Desde las contribuciones de Isaac Newton, Gottfried Wilhelm Leibniz, Jacob y Johann Bernoulli en el siglo XVII hasta ahora, las ecuaciones en diferencias y las diferenciales han demostrado su capacidad para modelar ...
Computational modelling with uncertainty of frequent users of e-commerce in Spain using an age-group dynamic nonlinear model with varying size population

Burgos-Simon, Clara; Cortés, J.-C.; Martínez-Rodríguez, David; Villanueva Micó, Rafael Jacinto (World Scientific, 2019-07)

[EN] Electronic commerce (EC) has numerous advantages. It allows saving time when we purchase an item, offers the possibility of review without depending on the schedules of traditional stores, access to a wider variety ...
Constructing reliable approximations of the probability density function to the random heat PDE via a finite difference scheme

Calatayud, J.; Cortés, J.-C.; Díaz, J.A.; Jornet, M. (Elsevier, 2020-05)

[EN] We study the random heat partial differential equation on a bounded domain assuming that the diffusion coefficient and the boundary conditions are random variables, and the initial condition is a stochastic process. ...
Diseño de herramientas informáticas de evaluación del comportamiento de elementos estructurales con incertidumbre

Martínez Rodríguez, Pablo (Universitat Politècnica de València, 2022-10-17)

[ES] Este trabajo tiene como finalidad la creación de una herramienta informática para la modelización matemática de elementos estructurales unidimensionales rectos con incertidumbre. Inicialmente se introduce el modelo ...
Experimental and Modelling Study of Interfacial Phenomena in Annular Flow with Uncertainty Quantification

Rivera Durán, Yago (Universitat Politècnica de València, 2023-07-03)

[ES] El flujo anular es uno de los regímenes de flujo bifásico más importantes y se caracteriza por que una fracción de líquido muy pequeña conocida como película de líquido que viaja cerca de la pared y un núcleo gaseoso. ...
First-order linear differential equations whose data are complex random variables: Probabilistic solution and stability analysis via densities

Cortés, J.-C.; Navarro-Quiles, A.; Romero, José-Vicente; Roselló, María-Dolores (American Institute of Mathematical Sciences, 2022)

[EN] Random initial value problems to non-homogeneous first-order linear differential equations with complex coefficients are probabilistically solved by computing the first probability density of the solution. For the ...
Improving the approximation of the first and second order statistics of the response stochastic process to the random Legendre differential equation

Calatayud-Gregori, Julia; Cortés, J.-C.; Jornet-Sanz, Marc (Springer-Verlag, 2019-06)

[EN] In this paper, we deal with uncertainty quantification for the random Legendre differential equation, with input coefficient A and initial conditions X-0 and X-1. In a previous study (Calbo et al. in Comput Math Appl ...
Lp-calculus approach to the random autonomous linear differential equation with discrete delay

Calatayud-Gregori, Julia; Cortés, J.-C.; Jornet-Sanz, Marc (Springer-Verlag, 2019-08)

[EN] In this paper, we provide a full probabilistic study of the random autonomous linear differential equation with discrete delay , with initial condition x(t)=g(t), -t0. The coefficients a and b are assumed to be random ...
Lp-solution to the random linear delay differential equation with stochastic forcing term

Cortés, J.-C.; Jornet, Marc (MDPI AG, 2020-06)

[EN] This paper aims at extending a previous contribution dealing with the random autonomous-homogeneous linear differential equation with discrete delay tau > 0, by adding a random forcing term f(t) that varies with time: ...
Mathematical modeling of the dynamics of the bladder cancer and the immune response applied to a patient: Evolution and short-term prediction

Burgos-Simon, Clara; García-Medina, N.; Martínez-Rodríguez, David; Villanueva Micó, Rafael Jacinto (John Wiley & Sons, 2019-11-30)

[EN] Bladder cancer is one of the most common malignant diseases in the urinary system and a highly aggressive neoplasm. The prognosis is not favorable usually, and its evolution for particular patients is very difficult ...
Mean square solutions of random linear models and computation of their probability density function

Jornet Sanz, Marc (Universitat Politècnica de València, 2020-03-05)

[EN] This thesis concerns the analysis of differential equations with uncertain input parameters, in the form of random variables or stochastic processes with any type of probability distributions. In modeling, the input ...