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Tesis sobre el tema "Surrogate dynamics"

Autor: Grafiati

Publicado: 30 de noviembre de 2024

Última modificación: 31 de julio de 2025

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1

Koch, Christiane. "Quantum dissipative dynamics with a surrogate Hamiltonian." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2002. http://dx.doi.org/10.18452/14816.

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Diese Dissertation untersucht Quantensysteme in kondensierter Phase, welche mit ihrer Umgebung wechselwirken und durch ultrakurze Laserpulse angeregt werden. Die Zeitskalen der verschiedenen beteiligten Prozessen lassen sich bei solchen Problemen nicht separieren, weshalb die Standardmethoden zur Behandlung offener Quantensysteme nicht angewandt werden können. Die Methode des Surrogate Hamiltonian stellt ein Beispiel neuer Herangehensweisen an dissipative Quantendynamik dar. Die Weiterentwicklung der Methode und ihre Anwendung auf Phänomene, die zur Zeit experimentell untersucht werden, stehen

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2

Hibbs, Ryan E. "Conformational dynamics of the acetylcholine binding protein, a Nicotinic receptor surrogate." Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2006. http://wwwlib.umi.com/cr/ucsd/fullcit?p3237010.

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Thesis (Ph. D.)--University of California, San Diego, 2006.<br>Title from first page of PDF file (viewed December 8, 2006). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references.

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3

Conradie, Tanja. "Modelling of nonlinear dynamic systems : using surrogate data methods." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51834.

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Thesis (MSc)--Stellenbosch University, 2000.<br>ENGLISH ABSTRACT: This study examined nonlinear modelling techniques as applied to dynamic systems, paying specific attention to the Method of Surrogate Data and its possibilities. Within the field of nonlinear modelling, we examined the following areas of study: attractor reconstruction, general model building techniques, cost functions, description length, and a specific modelling methodology. The Method of Surrogate Data was initially applied in a more conventional application, i.e. testing a time series for nonlinear, dynamic structure.

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4

Millard, Daniel C. "Identification and control of neural circuit dynamics for natural and surrogate inputs in-vivo." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53405.

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A principal goal of neural engineering is to control the activation of neural circuits across space and time. The ability to control neural circuits with surrogate inputs is needed for the development of clinical neural prostheses and the experimental interrogation of connectivity between brain regions. Electrical stimulation provides a clinically viable method for activating neural tissue and the emergence of optogenetic stimulation has redefined the limitations on stimulating neural tissue experimentally. However, it remains poorly understood how these tools activate complex neural circui

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5

Segee, Molly Catherine. "Surrogate Models for Transonic Aerodynamics for Multidisciplinary Design Optimization." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/71321.

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Multidisciplinary design optimization (MDO) requires many designs to be evaluated while searching for an optimum. As a result, the calculations done to evaluate the designs must be quick and simple to have a reasonable turn-around time. This makes aerodynamic calculations in the transonic regime difficult. Running computational fluid dynamics (CFD) calculations within the MDO code would be too computationally expensive. Instead, CFD is used outside the MDO to find two-dimensional aerodynamic properties of a chosen airfoil shape, BACJ, at a number of points over a range of thickness-to-chord ra

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6

Minsavage, Kaitlyn Emily. "Neural Networks as Surrogates for Computational Fluid Dynamics Predictions of Hypersonic Flows." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1610017352981371.

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7

Lagerstrom, Tiffany. "All in the Family: The Role of Sibling Relationships as Surrogate Attachment Figures." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1138.

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While several studies have analyzed the impact of mother-child attachment security on the child’s emotion regulation abilities, few studies have proposed interventions to help children improve emotion regulation abilities in the presence of an insecure mother-child attachment. This current study extends previous findings about the influence of mother-child attachment on the child’s emotion regulation abilities and contributes new research in determining whether an older sibling can moderate this effect. This study predicts that across points of assessments: 18 months, 5 years, 10 years, and 15

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8

Brouwer, Kirk Rowse. "Enhancement of CFD Surrogate Approaches for Thermo-Structural Response Prediction in High-Speed Flows." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1543340520905498.

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9

Sadet, Jérémy. "Surrogate models for the analysis of friction induced vibrations under uncertainty." Electronic Thesis or Diss., Valenciennes, Université Polytechnique Hauts-de-France, 2022. http://www.theses.fr/2022UPHF0014.

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Le crissement automobile est une nuisance sonore qui intéresse à la fois les chercheurs et les industriels. Ce phénomène fugace, perçu par les acquéreurs de véhicule comme gage de piètre qualité, induit un coût de plus en plus important pour les équipementiers automobiles dû aux réclamations-client. Par conséquent, il est primordial de proposer et développer des méthodes permettant de prédire avec efficacité l’occurrence de cette nuisance sonore grâce à des modèles de simulation numérique. Ainsi, cette thèse se propose de poursuivre les récents travaux montrant l’apport certain d’une intégrati

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10

Taheri, Mehdi. "Machine Learning from Computer Simulations with Applications in Rail Vehicle Dynamics and System Identification." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/81417.

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The application of stochastic modeling for learning the behavior of multibody dynamics models is investigated. The stochastic modeling technique is also known as Kriging or random function approach. Post-processing data from a simulation run is used to train the stochastic model that estimates the relationship between model inputs, such as the suspension relative displacement and velocity, and the output, for example, sum of suspension forces. Computational efficiency of Multibody Dynamics (MBD) models can be improved by replacing their computationally-intensive subsystems with stochastic pred

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11

Ghanipoor, Machiani Sahar. "Modeling Driver Behavior at Signalized Intersections: Decision Dynamics, Human Learning, and Safety Measures of Real-time Control Systems." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/71798.

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Traffic conflicts associated to signalized intersections are one of the major contributing factors to crash occurrences. Driver behavior plays an important role in the safety concerns related to signalized intersections. In this research effort, dynamics of driver behavior in relation to the traffic conflicts occurring at the onset of yellow is investigated. The area ahead of intersections in which drivers encounter a dilemma to pass through or stop when the yellow light commences is called Dilemma Zone (DZ). Several DZ-protection algorithms and advance signal settings have been developed to a

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12

Lebel, David. "Statistical inverse problem in nonlinear high-speed train dynamics." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC2189/document.

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Ce travail de thèse traite du développement d'une méthode de télédiagnostique de l'état de santé des suspensions des trains à grande vitesse à partir de mesures de la réponse dynamique du train en circulation par des accéléromètres embarqués. Un train en circulation est un système dynamique dont l'excitation provient des irrégularités de la géométrie de la voie ferrée. Ses éléments de suspension jouent un rôle fondamental de sécurité et de confort. La réponse dynamique du train étant dépendante des caractéristiques mécaniques des éléments de suspension, il est possible d'obtenir en inverse des

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13

Mohammadian, Saeed. "Freeway traffic flow dynamics and safety: A behavioural continuum framework." Thesis, Queensland University of Technology, 2021. https://eprints.qut.edu.au/227209/1/Saeed_Mohammadian_Thesis.pdf.

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Congestion and rear-end crashes are two undesirable phenomena of freeway traffic flows, which are interrelated and highly affected by human psychological factors. Since congestion is an everyday problem, and crashes are rare events, congestion management and crash risk prevention strategies are often implemented through separate research directions. However, overwhelming evidence has underscored the inter-relation between rear-end crashes and freeway traffic flow dynamics in recent decades. This dissertation develops novel mathematical models for freeway traffic flow dynamics and safety to int

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14

Bunnell, Spencer Reese. "Real Time Design Space Exploration of Static and Vibratory Structural Responses in Turbomachinery Through Surrogate Modeling with Principal Components." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8451.

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Design space exploration (DSE) is used to improve and understand engineering designs. Such designs must meet objectives and structural requirements. Design improvement is non-trivial and requires new DSE methods. Turbomachinery manufacturers must continue to improve existing engines to keep up with global demand. Two challenges of turbomachinery DSE are: the time required to evaluate designs, and knowing which designs to evaluate. This research addressed these challenges by developing novel surrogate and principal component analysis (PCA) based DSE methods. Node and PCA-based surrogates were c

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15

Volpi, Silvia. "High-fidelity multidisciplinary design optimization of a 3D composite material hydrofoil." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6325.

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Multidisciplinary design optimization (MDO) refers to the process of designing systems characterized by the interaction of multiple interconnected disciplines. High-fidelity MDO usually requires large computational resources due to the computational cost of achieving multidisciplinary consistent solutions by coupling high-fidelity physics-based solvers. Gradient-based minimization algorithms are generally applied to find local minima, due to their efficiency in solving problems with a large number of design variables. This represents a limitation to performing global MDO and integrating black-

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16

Stucki, Chad Lamar. "Aerodynamic Design Optimization of a Locomotive Nose Fairing for Reducing Drag." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7478.

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Rising fuel cost has motivated increased fuel efficiency for freight trains. At cruising speed,the largest contributing factor to the fuel consumption is aerodynamic drag. As a result of stagnationand flow separation on and around lead and trailing cars, the first and last railcars experiencegreater drag than intermediate cars. Accordingly, this work focused on reducing drag on lead locomotivesby designing and optimizing an add-on nose fairing that is feasible for industrial operation.The fairing shape design was performed via computational fluid dynamic (CFD) software.The simulations consiste

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17

Crowell, Andrew R. "Model Reduction of Computational Aerothermodynamics for Multi-Discipline Analysis in High Speed Flows." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366204830.

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18

Abraham, Yonas Beyene. "Optimization with surrogates for electronic-structure calculations /." Electronic thesis, 2004. http://etd.wfu.edu/theses/available/etd-05102004-012537/.

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19

Soltanipour, Lazarjan Milad. "Dynamic behaviour of brain and surrogate materials under ballistic impact." Thesis, University of Canterbury. Mechanical Engineering, 2015. http://hdl.handle.net/10092/10466.

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In the last several decades the number of the fatalities related to criminally inflicted cranial gunshot wounds has increased (Aarabi et al.; Jena et al., 2014; Mota et al., 2003). Back-spattered bloodstain patterns are often important in investigations of cranial gunshot fatalities, particularly when there is a doubt whether the death is suicide or homicide. Back-spatter is the projection of blood and tissue back toward the firearm. However, the mechanism of creation of the backspatter is not understood well. There are several hypotheses, which describe the formation of the backspatter. Howev

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20

Zhao, Liang. "Reliability-based design optimization using surrogate model with assessment of confidence level." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/1194.

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The objective of this study is to develop an accurate surrogate modeling method for construction of the surrogate model to represent the performance measures of the compute-intensive simulation model in reliability-based design optimization (RBDO). In addition, an assessment method for the confidence level of the surrogate model and a conservative surrogate model to account the uncertainty of the prediction on the untested design domain when the number of samples are limited, are developed and integrated into the RBDO process to ensure the confidence of satisfying the probabilistic constraints

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21

Tancred, James Anderson. "Aerodynamic Database Generation for a Complex Hypersonic Vehicle Configuration Utilizing Variable-Fidelity Kriging." University of Dayton / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1543801033672049.

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22

Tahkola, M. (Mikko). "Developing dynamic machine learning surrogate models of physics-based industrial process simulation models." Master's thesis, University of Oulu, 2019. http://jultika.oulu.fi/Record/nbnfioulu-201906042313.

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Abstract. Dynamic physics-based models of industrial processes can be computationally heavy which prevents using them in some applications, e.g. in process operator training. Suitability of machine learning in creating surrogate models of a physics-based unit operation models was studied in this research. The main motivation for this was to find out if machine learning model can be accurate enough to replace the corresponding physics-based components in dynamic modelling and simulation software Apros® which is developed by VTT Technical Research Centre of Finland Ltd and Fortum. This study is

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23

Peyron, Mathis. "Assimilation de données en espace latent par des techniques de deep learning." Electronic Thesis or Diss., Université de Toulouse (2023-....), 2024. http://www.theses.fr/2024TLSEP074.

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Cette thèse, située à l’intersection de l’assimilation de données (AD) et de l’apprentissage profond (AP), introduit un concept nouveau : l’assimilation de données en espace latent. Elle permet une réduction considérable des coûts de calcul et des besoins mémoire, tout en offrant le potentiel d’améliorer la précision des résultats.Il existe de nombreuses façons d’intégrer l’apprentissage profond dans les algorithmes d’assimilation de données, chacune visant des objectifs différents (Loh et al., 2018; Tang et al., 2020; Laloyaux et al., 2020; Bonavita and Laloyaux, 2020; Brajard et al., 2020; F

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24

Hermannsson, Elvar. "Hydrodynamic Shape Optimization of Trawl Doors with Three-Dimensional Computational Fluid Dynamics Models and Local Surrogates." Thesis, KTH, Kraft- och värmeteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147352.

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Rising fuel prices have been inflating the operating costs of the fishing industry. Trawl doors are used to hold the fishing net open during trawling operations, and they have a great influence on the fuel consumption of vessels. Improvements in the design of trawl doors could therefore contribute significantly to increased fuel efficiency. An efficient optimization algorithm using two- and three-dimensional (2D and 3D) computational fluid dynamics (CFD) models is presented. Accurate CFD models, especially 3D, are computationally expensive. The direct use of traditional optimization algorithms

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25

Akimoto, Mami. "Predictive uncertainty in infrared marker-based dynamic tumor tracking with Vero4DRT." Kyoto University, 2015. http://hdl.handle.net/2433/199176.

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26

Cerqueus, Audrey. "Bi-objective branch-and-cut algorithms applied to the binary knapsack problem : surrogate bound sets, dynamic branching strategies, generation and exploitation of cover inequalities." Nantes, 2015. https://archive.bu.univ-nantes.fr/pollux/show/show?id=fdf0e978-37d8-4290-8495-a3fd67de78f7.

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Dans ce travail, nous nous intéressons à la résolution de problèmes d’optimisation combinatoire multi-objectif. Ces problèmes ont suscité un intérêt important au cours des dernières décennies. Afin de résoudre ces problèmes, particulièrement difficiles, de manière exacte et efficace, les algorithmes sont le plus souvent spécifiques au problème traité. Dans cette thèse, nous revenons sur l’approche dite de branch-and-bound et nous en proposons une extension pour obtenir un branch-and-cut, dans un contexte bi-objectif. Les problèmes de sac-à-dos sont utilisés comme support pour ces travaux. Troi

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27

Dietrich, Felix [Verfasser], Hans-Joachim [Akademischer Betreuer] [Gutachter] Bungartz, and Gerta [Gutachter] Köster. "Data-Driven Surrogate Models for Dynamical Systems / Felix Dietrich ; Gutachter: Hans-Joachim Bungartz, Gerta Köster ; Betreuer: Hans-Joachim Bungartz." München : Universitätsbibliothek der TU München, 2017. http://d-nb.info/1137624655/34.

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28

Allahvirdizadeh, Reza. "Reliability-Based Assessment and Optimization of High-Speed Railway Bridges." Licentiate thesis, KTH, Bro- och stålbyggnad, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301318.

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Increasing the operational speed of trains has attracted a lot of interest in the last decades and has brought new challenges, especially in terms of infrastructure design methodology, as it may induce excessive vibrations. Such demands can damage bridges, which in turn increases maintenance costs, endangers the safety of passing trains and disrupts passenger comfort. Conventional design provisions should therefore be evaluated in the light of modern concerns; nevertheless, several previous studies have highlighted some of their shortcomings. It should be emphasized that most of these studies

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29

Cheema, Prasad. "Machine Learning for Inverse Structural-Dynamical Problems: From Bayesian Non-Parametrics, to Variational Inference, and Chaos Surrogates." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24139.

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To ensure that the design of a structure is both robust and eﬃcient, engineers often investigate inverse dynamical modeling problems. In particular, there are three archetypal inverse modeling problems which arise in the context of structural engineering. These are respectively: (i) The eigenvalue assignment problem, (ii) Bayesian model updating, and (iii) Operational modal analysis. It is the intent of this dissertation to investigate all three aforementioned inverse dynamical problems within the broader context of modern machine learning advancements. Firstly, the inverse eigenvalue assi

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30

Pant, Gaurav. "Hybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platform. A Framework Combining Dynamic and Statistical Modelling to Develop Surrogate Models of System of Internal Combustion Engine for Emission Modelling." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17223.

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31

Spraul, Charles. "Suivi en service de la durée de vie des ombilicaux dynamiques pour l’éolien flottant." Thesis, Ecole centrale de Nantes, 2018. http://www.theses.fr/2018ECDN0007/document.

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Le travail présenté vise à mettre en place une méthodologie pour le suivi en service de la fatigue mécanique pour l’ombilical dynamique d’un système EMR flottant. L’approche envisagée consiste à simuler à l’aide d’outils numériques la réponse de l’ombilical aux cas de chargement observés sur site. Le post-traitement des résultats de ces simulations devant permettre d’accéder à différentes quantités d’intérêt en tout point du câble. Pour quantifier et réduire l’incertitude sur la réponse calculée de l’ombilical ce dernier doit être instrumenté. Un certain nombre de paramètres du modèle numériqu

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32

Little, M. A. "Biomechanically informed nonlinear speech signal processing." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:6f5b84fb-ab0b-42e1-9ac2-5f6acc9c5b80.

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Linear digital signal processing based around linear, time-invariant systems theory finds substantial application in speech processing. The linear acoustic source-filter theory of speech production provides ready biomechanical justification for using linear techniques. Nonetheless, biomechanical studies surveyed in this thesis display significant nonlinearity and non-Gaussinity, casting doubt on the linear model of speech production. In order therefore to test the appropriateness of linear systems assumptions for speech production, surrogate data techniques can be used. This study uncovers sys

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33

De, lozzo Matthias. "Modèles de substitution spatio-temporels et multifidélité : Application à l'ingénierie thermique." Thesis, Toulouse, INSA, 2013. http://www.theses.fr/2013ISAT0027/document.

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Cette thèse porte sur la construction de modèles de substitution en régimes transitoire et permanent pour la simulation thermique, en présence de peu d'observations et de plusieurs sorties.Nous proposons dans un premier temps une construction robuste de perceptron multicouche bouclé afin d'approcher une dynamique spatio-temporelle. Ce modèle de substitution s'obtient par une moyennisation de réseaux de neurones issus d'une procédure de validation croisée, dont le partitionnement des observations associé permet d'ajuster les paramètres de chacun de ces modèles sur une base de test sans perte d'

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34

Goutierre, Emmanuel. "Machine learning-based particle accelerator modeling." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG106.

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Les accélérateurs de particules reposent sur des simulations de haute précision pour optimiser la dynamique du faisceau. Ces simulations sont coûteuses en ressources de calcul, rendant leur analyse en temps réel difficilement réalisable. Cette thèse propose de surmonter cette limitation en explorant le potentiel de l'apprentissage automatique pour développer des modèles de substitution des simulations d'accélérateurs de particules. Ce travail se concentre sur ThomX, une source Compton compacte, et introduit deux modèles de substitution : LinacNet et Implicit Neural ODE (INODE). Ces modèles son

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35

Koch, Christiane [Verfasser]. "Quantum dissipative dynamics with a surrogate Hamiltonian : the method and applications / von Christiane Koch." 2002. http://d-nb.info/966299094/34.

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36

Truelove, William Anthony Lawrence. "A general methodology for generating representative load cycles for monohull surface vessels." Thesis, 2018. https://dspace.library.uvic.ca//handle/1828/10434.

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In this thesis, a general methodology for generating representative load cycles for arbitrary monohull surface vessels is developed. The proposed methodology takes a hull geometry and propeller placement, vessel loading condition, vessel mission, and weather data (wind, waves, currents) and, from that, generates the propeller states (torque, speed, power) and steering gear states (torque, speed, power) necessary to accomplish the given mission. The propeller states, together with the steering gear states, thus define the load cycle corresponding to the given inputs (vessel, mission, weather).

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37

"Convergent surrogate-constraint dynamic programming." 2006. http://library.cuhk.edu.hk/record=b5893071.

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Wang Qing.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2006.<br>Includes bibliographical references (leaves 72-74).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Literature survey --- p.2<br>Chapter 1.2 --- Research carried out in this thesis --- p.4<br>Chapter 2 --- Conventional Dynamic Programming --- p.7<br>Chapter 2.1 --- Principle of optimality and decomposition --- p.7<br>Chapter 2.2 --- Backward dynamic programming --- p.12<br>Chapter 2.3 --- Forward dynamic programming --- p.15<br>Chapter 2.4 --- Curse of dimensionality -

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38

Cosi, Filippo Giovanni. "Impact of Structure Modification on Cardiomyocyte Functionality." Doctoral thesis, 2020. http://hdl.handle.net/21.11130/00-1735-0000-0005-13B6-8.

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39

Luo, Hua-Wen, and 羅華文. "Dynamic Precision Control in Surrogate Assisted Optimization." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/04740429510755550684.

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碩士<br>國立臺灣大學<br>數學研究所<br>99<br>In many optimization problems, the number of function evaluations is severely limited by time or cost. These problems pose a special challenge to the field of global optimization, since existing methods often require more function evaluations than can be comfortably afforded. One way to address this challenge is to t response surfaces or surrogate surface to data collected by evaluating the objective and constraint functions at a few points. These surfaces can then be used for visualization, trade o analysis, and optimization. We then show how these approximating

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40

Tsai, Sung-feng, and 蔡松峰. "Performance Tuning of Eigensolver via Dynamic Surrogate." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/68430764250884484890.

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碩士<br>國立臺灣大學<br>數學研究所<br>100<br>For using an iterative eigensolver to solve an eigenvalue problem with a large-scale matrix, adaptively choosing parameters will significantly improve its performance. Since there is no obvious relation between the execution time and parameters of an eigensolver, it is reasonable that using direct search method to optimize the parameters. In many direct search methods, however, it is likely that evaluating much number of function values is limited by time or cost. For reducing time or cost, one idea we present here is that we pause some function evaluations that

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41

"Surrogate dual search in nonlinear integer programming." 2009. http://library.cuhk.edu.hk/record=b5896898.

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Wang, Chongyu.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.<br>Includes bibliographical references (leaves 74-78).<br>Abstract also in Chinese.<br>Abstract --- p.1<br>Abstract in Chinese --- p.3<br>Acknowledgement --- p.4<br>Contents --- p.5<br>List of Tables --- p.7<br>List of Figures --- p.8<br>Chapter 1. --- Introduction --- p.9<br>Chapter 2. --- Conventional Dynamic Programming --- p.15<br>Chapter 2.1. --- Principle of optimality and decomposition --- p.15<br>Chapter 2.2. --- Backward dynamic programming --- p.17<br>Chapter 2.3. --- Forward dynamic programming ---

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42

Hossain, Md Nurtaj. "Adaptive reduced order modeling of dynamical systems through novel a posteriori error estimators : Application to uncertainty quantification." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5218.

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Multi-query problems such as uncertainty quantification, optimization of a dynamical system require solving a governing differential equation at multiple parameter values. Therefore, for large systems, the computational cost becomes prohibitive. Replacing the original discretized higher dimensional model with a faster reduced order model (ROM) can alleviate this computationally prohibitive task significantly. However, a ROM incurs error in the solution due to approximation in a lower dimensional subspace. Moreover, ROMs lack robustness in terms of effectiveness over the entire parameter range

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Valladares, Guerra Homero Santiago. "Surrogate-based global optimization of composite material parts under dynamic loading." Thesis, 2017. https://doi.org/10.7912/C2XH2R.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>The design optimization of laminated composite structures is of relevance in automobile, naval, aerospace, construction and energy industry. While several optimization methods have been applied in the design of laminated composites, the majority of those methods are only applicable to linear or simplified nonlinear models that are unable to capture multi-body contact. Furthermore, approaches that consider composite failure still remain scarce. This work presents an optimization approach based on design and analysis of computer experi

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Chong, John, and 張顯主. "Improved State of Charge Estimation of Lithium-Ion Cells via Surrogate Modeling under Dynamic Operating Conditions." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/v343mp.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>106<br>The goal of the thesis is to come up with an algorithm that is adequate for real-time electric vehicle battery state of charge(SOC) estimation. Therefore, the algorithm should meet the requirement of not hardware performance demanding, considering factors that influence battery SOC estimation and most importantly able to perform in dynamic operating state of electric vehicle. To cope with this, the study developed an improved algorithm based on combination of open-circuit voltage (OCV) method and coulomb counting method to estimate the SOC of lithium-ion batt

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Brewer, Alex J. "Addressing wastewater epidemiology limitations with the use of dynamic population surrogates, complementary urinalyses and in-situ experiments." Thesis, 2012. http://hdl.handle.net/1957/36017.

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Wastewater epidemiology is an emerging discipline that requires collaborative research involving analytical chemists, drug epidemiologists, and wastewater engineers. Wastewater epidemiology involves the sampling and quantitative analysis of raw wastewaters from communities for illicit drugs and their metabolites. Mass loads (mass per day) and per capita (mg per day per person) are then calculated from concentrations and indicate the approximate quantity of illicit drugs used and excreted by the community. Limitations to wastewater epidemiology include that the population served by wastewate

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DuVal, Marc G. "Dynamic Gd-DTPA Enhanced MRI as a Surrogate Marker of Angiogenesis in Tissue-engineered Rabbit Calvarial Constructs: A Pilot Study." Thesis, 2011. http://hdl.handle.net/1807/30578.

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Tissue engineering is limited by inability to create early and adequate blood supply. In-vivo DCE-MRI has imaged angiogenesis in soft tissues, yet has not been considered in hard tissues. Bilateral critical defects created in parietal bones of eighteen adult rabbits were left void, treated with haluronic acid acellular matrix (HA-ACM), or HA-ACM impregnated with vascular endothelial growth factor (VegF). DCE- MRI was acquired at weeks 1,2,3,6, and 12. Histologic analysis of HA-ACM treated defects demonstrated quantitatively greater immature bone formation, increased quantity and larger blo

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Semendiak, Yevhenii. "From Parameter Tuning to Dynamic Heuristic Selection." 2020. https://tud.qucosa.de/id/qucosa%3A71044.

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The importance of balance between exploration and exploitation plays a crucial role while solving combinatorial optimization problems. This balance is reached by two general techniques: by using an appropriate problem solver and by setting its proper parameters. Both problems were widely studied in the past and the research process continues up until now. The latest studies in the field of automated machine learning propose merging both problems, solving them at design time, and later strengthening the results at runtime. To the best of our knowledge, the generalized approach for solving the p

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Pepi, Chiara. "Suitability of dynamic identification for damage detection in the light of uncertainties on a cable stayed footbridge." Doctoral thesis, 2019. http://hdl.handle.net/2158/1187384.

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Structural identification is a very important task especially in all those countries characterized by significant historical and architectural patrimony and strongly vulnerable infrastructures, subjected to inherent degradation with time and to natural hazards e.g. seismic loads. Structural response of existing constructions is usually estimated using suitable numerical models which are driven by a set of geometrical and/or mechanical parameters that are mainly unknown and/or affected by different levels of uncertainties. Some of these information can be obtained by experimental tests but it i

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Corredor, Edward Alexis Baron. "Assessment and identification of concrete box-girder bridges properties using surrogate model calibration: case study: El Tablazo bridge." Master's thesis, 2017. http://hdl.handle.net/1822/70634.

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Dissertação de mestrado integrado em Engenharia Civil<br>This work consists in identifying and assessing the properties in a pre-stressed concrete bridge related to material, geometry and physic sources, through a surrogate model. The participation of this mathematical model allows to generate a relationship between bridge properties and its dynamic response, with the purpose of creating a tool to predict the analytical values of the studied properties from measured eigenfrequencies; in this case, it is introduced the identification of damage scenarios, giving the application for validate the

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Pal, Sunit. "Design, Synthesis and Conformational Analysis of Hydrogen Bond Surrogate (HBS) Stabilized Helices in Natural Sequences. Helically Constrained Peptides for Potential DNA-Binding." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4837.

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Thesis titled, “Design, Synthesis and Conformational Analysis of Hydrogen Bond Surrogate (HBS) Stabilized Helices in Natural Sequences. Helically Constrained Peptides for Potential DNA-Binding”, describes the development of a novel covalent hydrogen bond surrogate (HBS) model and its incorporation in short (4-8 residues) unstructured peptide sequences with coded amino acids, through a facile solution phase synthetic method (SPSM), to constrain them into α- helical conformations with highest known stabilities and helicities. The synthetic protocol was developed for mass scale combinatorial synt

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