Relevant bibliographies by topics / Non deterministic approach

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Non deterministic approach'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Non deterministic approach"

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del Prete, Antonio, Teresa Primo, and Antonio A. De Vitis. "Non Deterministic Approach in Metal Forming Springback Simulation." Key Engineering Materials 344 (July 2007): 399–410. http://dx.doi.org/10.4028/www.scientific.net/kem.344.399.

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An uncertain approach has been evaluated to analyze the finite element analysis responses for the springback evaluation on a stamped part. In the Metal Forming and Springback simulations a deterministic approach does not take in account uncertain physical variations related to material characteristics, friction conditions, tools active surfaces status, etc. Then, if one of the purposes of the process design it is its reliability, a CAE study in aleatory conditions is the only way to evaluate the process robustness. A study case has been defined and the explicit simulation was performed for the forming stage while, the implicit simulation was performed for the springback phase. Subsequently, a stochastic problem was solved to found the aleatory influence of process parameters such as: anisotropy coefficient, Young modulus and friction between blank and tools to evaluate their effect on the component springback. The evaluation of finite element models in uncertain conditions can be considered like a CAE usage in order to obtain a “Robust Design” for the examinated problem.
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HWANG, GWAN-HWAN, KUO-CHUNG TAI, and TING-LU HUANG. "REACHABILITY TESTING: AN APPROACH TO TESTING CONCURRENT SOFTWARE." International Journal of Software Engineering and Knowledge Engineering 05, no. 04 (December 1995): 493–510. http://dx.doi.org/10.1142/s0218194095000241.

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Concurrent programs are more difficult to test than sequential programs because of non-deterministic behavior. An execution of a concurrent program non-deterministically exercises a sequence of synchronization events called a synchronization sequence (or SYN-sequence). Non-deterministic testing of a concurrent program P is to execute P with a given input many times in order to exercise distinct SYN-sequences. In this paper, we present a new testing approach called reachability testing. If every execution of P with input X terminates, reachability testing of P with input X derives and executes all possible SYN-sequences of P with input X. We show how to perform reachability testing of concurrent programs using read and write operations. Also, we present results of empirical studies comparing reachability and non-deterministic testing. Our results indicate that reachability testing has advantages over non-deterministic testing.
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Jebur, Hawraa Qasim, and Salah R. Al-Zaidee. "Non-deterministic Approach for Reliability Evaluation of Steel Beam." Journal of Engineering 26, no. 1 (December 25, 2019): 121–41. http://dx.doi.org/10.31026/j.eng.2020.01.10.

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This paper aims to evaluate the reliability analysis for steel beam which represented by the probability of Failure and reliability index. Monte Carlo Simulation Method (MCSM) and First Order Reliability Method (FORM) will be used to achieve this issue. These methods need two samples for each behavior that want to study; the first sample for resistance (carrying capacity R), and second for load effect (Q) which are parameters for a limit state function. Monte Carlo method has been adopted to generate these samples dependent on the randomness and uncertainties in variables. The variables that consider are beam cross-section dimensions, material property, beam length, yield stress, and applied loads. Matlab software has been adopted to generate these pseudo-random variables dependent on its statistical characteristics such as coefficient of variance and probability density function that gathered from a review of literatures.
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FU, YUXI. "Non-deterministic structures of computation." Mathematical Structures in Computer Science 25, no. 6 (November 10, 2014): 1295–338. http://dx.doi.org/10.1017/s0960129514000012.

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Divergence and non-determinism play a fundamental role in the theory of computation, and their combined effect on computational equality deserves further study. By looking at the issue from the point of view of both computation and interaction, we are led to a canonical equality for non-deterministic computation, revealing its rich algebraic structure. We study this structure in three ways. First, we construct a complete equational system for finite-state non-deterministic computation. The challenge with such a system is to find an equational alternative to fixpoint inductionà laMilner. We establish a negative result in the form of the non-existence of a finite equational system for the canonical equality of non-deterministic computation to support our approach. We then investigate infinite-state non-deterministic computation in the light of definability and show that every recursively enumerable set is generated by an unobservable process. Finally, we prove that, as far as computation is concerned, the effect produced jointly by divergence and non-determinism is model independent for a large class of process models.We use C-graphs, which are interesting in their own right, as abstract representations of the computational objects throughout the paper.
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Banerjee, Archi, Shankha Sanyal, Souparno Roy, Sayan Nag, Ranjan Sengupta, and Dipak Ghosh. "A novel study on perception–cognition scenario in music using deterministic and non-deterministic approach." Physica A: Statistical Mechanics and its Applications 567 (April 2021): 125682. http://dx.doi.org/10.1016/j.physa.2020.125682.

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PINTO, JAVIER, AMÍLCAR SERNADAS, CRISTINA SERNADAS, and PAULO MATEUS. "NON-DETERMINISM AND UNCERTAINTY IN THE SITUATION CALCULUS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 08, no. 02 (April 2000): 127–49. http://dx.doi.org/10.1142/s0218488500000101.

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The purpose of this article is to extend the situation calculus, a logical framework for the specification of theories of action and change, with actions that have a non-deterministic or uncertain nature. Our approach is based upon the idea that actions may have a deterministic component, and a probabilistic component. For example, the act of flipping a coin has a deterministic component (the actual coin toss) and an uncertain component (the outcome). We extend the language of the situation calculus in order to make explicit this distinction between these two action components. Furthermore, we provide means to reason about the outcomes of processes specified only in terms of deterministic action components (which we call behaviors). In particular, we show how one can compute the probability that some fluent will hold after specific behavior is realized. An important feature of our approach is that the syntactic and semantic structure of actions and situations is independent of the decomposition of actions into deterministic and uncertain components. Thus, we inherit solutions to the frame problem ramification problem, etc.
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Granado-Lorencio, Carlos. "Fish communities of Spanish reservoir systems: A non-deterministic approach." SIL Proceedings, 1922-2010 24, no. 4 (September 1991): 2428–31. http://dx.doi.org/10.1080/03680770.1989.11899980.

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Bouatouch, Kadi, S. N. Pattanaik, and Eric Zeghers. "Computation of Higher Order Illumination with a Non-Deterministic Approach." Computer Graphics Forum 15, no. 3 (August 1996): 327–37. http://dx.doi.org/10.1111/1467-8659.1530327.

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Baranoski, Gladimir V. G., and Jon G. Rokne. "A non-deterministic reconstruction approach for isotropic reflectances and transmittances." Journal of Visualization and Computer Animation 10, no. 4 (October 1999): 225–31. http://dx.doi.org/10.1002/(sici)1099-1778(199910/12)10:4<225::aid-vis208>3.0.co;2-y.

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Jebur, Hawraa Qasim, and Salah Rohaima Al-Zaidee. "Non-deterministic Approach for Reliability Evaluation of Steel Portal Frame." Civil Engineering Journal 5, no. 8 (August 21, 2019): 1684–97. http://dx.doi.org/10.28991/cej-2019-03091363.

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In recent years, more researches on structural reliability theory and methods have been carried out. In this study, a portal steel frame is considered. The reliability analysis for the frame is represented by the probability of failure, P_f, and the reliability index, β, that can be predicted based on the failure of the girders and columns. The probability of failure can be estimated dependent on the probability density function of two random variables, namely Capacity R, and Demand Q. The Monte Carlo simulation approach has been employed to consider the uncertainty the parameters of R, and Q. Matlab functions have been adopted to generate pseudo-random number for considered parameters. Although the Monte Carlo method is active and is widely used in reliability research, it has a disadvantage which represented by the requirement of large sample sizes to estimate the small probabilities of failure. This is leading to computational cost and time. Therefore, an Approximated Monte Carlo simulation method has been adopted for this issue. In this study, four performances have been considered include the serviceability deflection limit state, ultimate limit state for girder, ultimate limit state for the columns, and elastic stability. As the portal frame is a statically indeterminate structure, therefore bending moments, and axial forces cannot be determined based on static alone. A finite element parametric model has been prepared using Abaqus to deal with this aspect. The statistical analysis for the results samples show that all response data have lognormal distribution except of elastic critical buckling load which has a normal distribution.
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Dissertations / Theses on the topic "Non deterministic approach"

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Hatami, Khosrowshahi S. R. "A non-deterministic approach to dynamic layout planning of flexible manufacturing systems." Thesis, University of Warwick, 1991. http://wrap.warwick.ac.uk/106904/.

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A new approach to the dynamic layout planning problem is proposed which provides solutions to highly variable material flow patterns occurring over a multi-period planning horizon and is especially suitable for flexible manufacturing systems. A non-deterministic environment is considered in which there is assumed to be uncertainty in the future material flow data. The performance of the method is assessed by comparing the solution produced by this method with a set of data provided in the literature for which the claimed optimal solution is known. There is close agreement with the stated solution and the result is obtained with a fraction of the computational effort. The computational efficiency is due to a new construction method to generate static layout solutions. This method uses an algorithm in which the number of stages is proportional to the number of facilities rather than an exponentional relationship as found in most other methods. The method also uses an element of forward planning to ensure that early location assignments provide minimum restriction to assignments made later in the procedure. Results of extensive tests show that the new static layout planning procedure produces solutions generally better than existing construction techniques and comparable with improvement techniques such as CRAFT. The execution speed of the procedure makes it possible to solve large scale problems ( >30 )in very short time scales on Microcomputers. Incorporation of the fast new construction method into dynamic layout planning allows decision making concerning when and how to re-layout facilities in response to changes in predicted material flow.
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Jaoua, Ali. "Recouvrement avant de programmes sous les hypotheses de specifications deterministes et non deterministes." Toulouse 3, 1987. http://www.theses.fr/1987TOU30227.

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Etude de la specification et de l'abstraction fonctionnelle de programmes. Definition de la coherence de programmes en termes relationnels. Definition des differents niveaux de coherence d'etats de programmes et des caracterisations de ces niveaux. Proposition d'une methodologie pratique de recouvrement avant basee sur l'idee de preserver, au moyen d'assertions executables, un niveau donne de coherences. Presentation d'une methodologie hybride de validation de programmes basee sur la verification formelle de certaines proprietes critiques du programme, et le recouvrement avant des proprietes non critiques
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Spera, Manuel <1978&gt. "Motion control and real-time systems: an approach to trajectory rebuilding in non-deterministic networks." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amsdottorato.unibo.it/637/.

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Motion control is a sub-field of automation, in which the position and/or velocity of machines are controlled using some type of device. In motion control the position, velocity, force, pressure, etc., profiles are designed in such a way that the different mechanical parts work as an harmonious whole in which a perfect synchronization must be achieved. The real-time exchange of information in the distributed system that is nowadays an industrial plant plays an important role in order to achieve always better performance, better effectiveness and better safety. The network for connecting field devices such as sensors, actuators, field controllers such as PLCs, regulators, drive controller etc., and man-machine interfaces is commonly called fieldbus. Since the motion transmission is now task of the communication system, and not more of kinematic chains as in the past, the communication protocol must assure that the desired profiles, and their properties, are correctly transmitted to the axes then reproduced or else the synchronization among the different parts is lost with all the resulting consequences. In this thesis, the problem of trajectory reconstruction in the case of an event-triggered communication system is faced. The most important feature that a real-time communication system must have is the preservation of the following temporal and spatial properties: absolute temporal consistency, relative temporal consistency, spatial consistency. Starting from the basic system composed by one master and one slave and passing through systems made up by many slaves and one master or many masters and one slave, the problems in the profile reconstruction and temporal properties preservation, and subsequently the synchronization of different profiles in network adopting an event-triggered communication system, have been shown. These networks are characterized by the fact that a common knowledge of the global time is not available. Therefore they are non-deterministic networks. Each topology is analyzed and the proposed solution based on phase-locked loops adopted for the basic master-slave case has been improved to face with the other configurations.
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Shabana, H. M. D. "Synchronization of partial and non-deterministic automata: a sat-based approach : dissertation for the degree of candidate of physical and mathematical sciences : 05.13.17." Thesis, б. и, 2020. http://hdl.handle.net/10995/83662.

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Zhang, Hao. "Nondeterministic Linear Static Finite Element Analysis: An Interval Approach." Diss., Available online, Georgia Institute of Technology, 2005, 2005. http://etd.gatech.edu/theses/available/etd-08232005-020145/.

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Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2006.
White, Donald, Committee Member ; Will, Kenneth, Committee Member ; Zureick, Abdul Hamid, Committee Member ; Hodges, Dewey, Committee Member ; Muhanna, Rafi, Committee Chair ; Haj-Ali, Rami, Committee Member.
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Kassem, Fidaa. "Reliability of reinforced concrete structures : Case of slabs subjected to impact." Thesis, Lyon, INSA, 2015. http://www.theses.fr/2015ISAL0096/document.

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Dans le domaine du génie civil, le dimensionnement des structures en béton armé est essentiellement basé sur des démarches déterministes. Cependant, les informations fournies par des analyses déterministes sont insuffisantes pour étudier la variabilité de la réponse de la dalle. Le manque de connaissance des charges appliquées ainsi que les incertitudes liées à la géométrie de la dalle et les caractéristiques des matériaux nécessitent donc l’utilisation d’une approche fiabiliste qui permet la propagation de ces incertitudes dans les analyses déterministes. L'approche fiabiliste est basée sur le principe de couplage mécano-fiabiliste qui consiste à coupler un modèle stochastique et un modèle déterministe. Cependant un couplage mécano-fiabiliste peut être très exigeant en temps de calcul. Dans le cadre de cette thèse, la méthodologie propre aux problématiques des ouvrages du génie civil est développée et validée tout d'abord sur un cas simple de structures en béton armé. Le cas d'une poutre encastrée en béton armée est proposé. Le système est modélisé sous CASTEM par une approche aux éléments finis de type multifibre. Puis la fiabilité d'une dalle en béton armé impactée par une masse rigide à faible vitesse est étudiée en couplant OpenTURNS à Abaqus. Enfin, une enceinte de confinement en béton précontrainte modélisée sous ASTER est étudiée d'un point de vue probabiliste. Seul le problème physique des dalles en béton armé soumises à une chute de colis dans les centrales nucléaires est examiné en détail. Deux modèles déterministes sont utilisés et évalués afin d’étudier les phénomènes dynamiques appliqués aux dalles en béton armé sous impact : un modèle par éléments finis en 3D modélisé sous Abaqus et un modèle simplifié de type masse-ressort amorti à deux degrés de liberté. Afin d’étudier la fiabilité des dalles en béton armé, nous avons couplé les méthodes Monte Carlo et simulation d’importance avec le modèle de type masse-ressort. FORM est utilisée avec le modèle par éléments finis. L’objectif de cette étude est de proposer des solutions pour diminuer le temps de calcul d'une analyse fiabiliste en utilisant deux stratégies dans le cas des dalles impactées. La première stratégie consiste à utiliser des modèles analytiques qui permettent de prédire avec précision la réponse mécanique de la dalle et qui sont moins coûteux en temps de calcul. La deuxième consiste à réduire le nombre d’appels au modèle déterministe, surtout dans le cas des modèles par éléments finis, en utilisant des méthodes probabilistes d'approximation. Ces deux stratégies sont comparées afin de vérifier l’efficacité de chacune pour calculer la probabilité de défaillance. Enfin, une étude paramétrique est réalisée afin d’étudier l’effet des paramètres d’entrées des modèles déterministes sur le calcul de la probabilité de défaillance
Reinforced concrete structures (RC) are subjected to several sources of uncertainties that highly affect their response. These uncertainties are related to the structure geometry, material properties and the loads applied. The lack of knowledge on the potential load, as well as the uncertainties related to the features of the structure shows that the design of RC structures could be made in a reliability framework. This latter allows propagating uncertainties in the deterministic analysis. However, in order to compute failure probability according to one or several failure criteria, mechanical and stochastic models have to be coupled which can be very time consuming and in some cases impossible. The platform OpenTURNS is used to perform the reliability analysis of three different structures . OpenTURNS is coupled to CASTEM to study the reliability of a RC multifiber cantilever beam subjected to a concentrated load at the free end, to Abaqus to study the reliability of RC slabs which are subjected to accidental dropped object impact during handling operations within nuclear plant buildings, and to ASTER to study the reliability of a prestressed concrete containment building. Only the physical problem of reinforced concrete impacted by a free flying object is investigated in detail. Two deterministic models are used and evaluated: a 3D finite element model simulated with the commercial code “Abaqus/Explicit” and an analytical mass-spring model. The aim of this study is to address this issue of reliability computational effort. Two strategies are proposed for the application of impacted RC slabs. The first one consists in using deterministic analytical models which predict accurately the response of the slab. In the opposite case, when finite element models are needed, the second strategy consists in reducing the number of simulations needed to assess the failure probability. In order to examine the reliability of RC slabs, Monte Carlo and importance sampling methods are coupled with the mass-spring model, while FORM is used with the finite element model. These two stategies are compared in order to verify their efficiency to calculate the probability of failure. Finally, a parametric study is performed to identify the influence of deterministic model parameters on the calculation of failure probability (dimensions of slabs, impact velocity and mass, boundary conditions, impact point, reinforcement
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DELCROIX, FRANCK. "Analyse structurale non-deterministe : approche par intervalles." Paris 6, 1999. http://www.theses.fr/1999PA066144.

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Ce travail porte sur les methodes de prise en compte des incertitudes de donnees dans les calculs structuraux par elements finis. Ces approches repondent a un besoin, aujourd'hui reel, d'outils dedies aux analyses structurales non-deterministes. En premier lieu, a titre de reference, les approches classiques que sont dans ce domaine les techniques de simulation de monte-carlo et les methodes d'elements finis stochastiques, sont presentees. Adoptant un point de vue alternatif, ce travail delaisse l'approche probabiliste classique pour adresser les methodes dites possibilistes. Par le biais des theories possibilistes et de la logique floue, l'utilisation d'intervalles pour representer les incertitudes de donnees est progressivement introduite. Concentrant nos developpements sur des analyses lineaires, le cur de ce document est ainsi consacre a la mise en place d'algorithmes de resolution de systemes lineaires a intervalles, algorithmes pour lesquels une description prealable des specificites de l'arithmetique des intervalles est necessaire. L'ensemble des algorithmes proposes est eprouve sur une serie de tests qui mettent en evidence la difficulte du probleme. Afin de contourner cette difficulte, une methode originale a ete developpee. Cette technique iterative propose un couplage entre une approche de type vertex et un developpement en serie de neumann. Les exemples mecaniques presentes a des fins de validation illustrent la qualite des solutions obtenues et l'aspect economique de cette methode. Cependant, la methode proposee souffre de limitations qui proscrivent son extension a d'autres familles d'analyses, ce qui nous conduit au terme de ce travail a proposer une methodologie utilisant avec succes une algorithmique issue de l'optimisation dans le mesure ou le probleme initial peut etre aisement transcrit sous la forme d'un double probleme d'optimisation.
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Hinke, Lars. "Modelling approaches for the low-frequency analysis of built-up structures with non-deterministic properties." Thesis, University of Southampton, 2008. https://eprints.soton.ac.uk/63243/.

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Virtual simulations of the behaviour of mechanical systems are of widespread use in academia and industry. Mechanical structures are often analysed using the finite element method, where deterministic models with one particular set of physical parameters are employed. However, the underlying assumption that the input data is precisely known is in general not valid, because there are uncertainties about the parameters, often until the last stage of the design cycle and even when the product is in service. Furthermore, every manufacturing process naturally introduces some product variability, which is inevitable. These effects can be compensated for by the application of safety factors. However, with the increasing requirements towards product performance, the effects of non-deterministic properties are of growing concern and advanced methods are needed that properly take them into account. In this context, it is often more important to predict the variation in the response than attempt to further improve the accuracy of a deterministic model. A number of viable methods to take non-deterministic properties into account already exist, but their computational efficiency and applicability have to be increased. In this thesis, a framework for the non-deterministic analysis of built-up structures using component mode synthesis (CMS) is presented. It is shown how several coordinate systems in CMS can be used advantageously for the quantification and propagation of non-deterministic data. A specific approach, based on considering the variation in component natural frequencies only, is introduced and its efficiency and accuracy investigated. The application of perturbational relations for uncertainty propagation in CMS is discussed. The framework of CMS is also used to combine qualitatively different uncertain data and the inclusion of experimental data is addressed. Overall, CMS methods can be used to reduce the numerical costs, improve the applicability of the approaches and also gain some physical insight for a structural dynamic problem with non-deterministic properties. Furthermore, several contributions are made to simulation methods that are usually applied in connection with the CMS approach. Different concepts for non-deterministic modal superposition are presented, which can be used to estimate the variation in frequency response functions from uncertain modal data. The application of the Line-Sampling simulation method, as an advanced Monte Carlo approach, to structural dynamic problems is shown. Finally, the modelling of spatial variations in components using random fields and the implementation in existing finite element models are addressed. Numerical examples are presented throughout.
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Enjalbert, Jean-Michel. "Optimisation des manoeuvres orbitales pour la mise à poste des satellites géostationnaires : approche déterministe et stochastique." Toulouse, INSA, 1989. http://www.theses.fr/1989ISAT0026.

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Une approche a deux niveaux integrant des methodes d'optimisation globale et locale est developpee et validee a travers son application a une classe de problemes d'optimisation parametrique complexe. Le probleme etudie porte sur l'optimisation des manuvres orbitales intervenant lors de la mise a poste principale d'un satellite geostationnaire. C'est un probleme de commande optimale sous contraintes ou il s'agit de determiner le nombre de poussees a effectuer et leurs parametres respectifs. Sa resolution est basee sur une decomposition a deux niveaux du probleme. Au premier niveau, un modele impulsionnel agrege est defini et resolu par programmation dynamique. Les resultats obtenus permettent de fournir une initialisation au probleme reel pour lequel plusieurs methodes d'optimisation sont proposees (programmation dynamique iterative et methode du simplexe de nelder et mead). La complexite de ce probleme se trouve singulierement accrue par la prise en compte de termes perturbateurs intervenant de maniere multiplicative sur les parametres de commande (poussee du moteur d'apogee). Pour resoudre ce probleme deux approches sont developpees et comparees; la premiere est basee sur la programmation dynamique stochastique et la seconde sur la these d'un regulateur. Pour cette derniere, un regulateur lqg obtenu par linearisation du modele est compare a une optimisation parametrique d'une classe de regulateurs. L'ensemble des experimentations numeriques est realise sur la base des donnees du satellite tdf1 fournies par le cnes
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Ajith, V. "Wave Propagation in Healthy and Defective Composite Structures under Deterministic and Non-Deterministic Framework." Thesis, 2012. http://hdl.handle.net/2005/3253.

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Composite structures provide opportunities for weight reduction, material tailoring and integrating control surfaces with embedded transducers, which are not possible in conventional metallic structures. As a result there is a substantial increase in the use of composite materials in aerospace and other major industries, which has necessitated the need for structural health monitoring(SHM) of aerospace structures. In the context of SHM of aircraft structures, there are many areas, which are still not explored and need deep investigation. Among these, one of the major areas is the development of efficient damage models for complex composite structures, like stiffened structures, box-type structures, which are the building blocks of an aircraft wing structure. Quantification of the defect due to porosity and especially the methods for identifying the porous regions in a composite structure is another such area, which demands extensive research. In aircraft structures, it is not advisable for the structures, to have high porosity content, since it can initiate common defects in composites such as, delamination, matrix cracks etc.. In fact, there is need for a high frequency analysis to detect defects in such complex structures and also to detect damages, where the change in the stiffness due to the damage is very small. Lamb wave propagation based method is one of the efficient high frequency wave based method for damage detection and are extensively used for detecting small damages, which is essentially needed in aircraft industry. However, in order, to develop an efficient Lamb wave based SHM system, we also need an efficient computational wave propagation model. Developing an efficient computational wave propagation model for complex structures is still a challenging area. One of the major difficulty is its computational expense, when the analysis is performed using conventional FEM. However, for 1D And 2D composite structures, frequency domain spectral finite element method (SFEM), which are very effective in sensing small stiffness changes due to a defect in a structure, is one of the efficient tool for developing computationally efficient and accurate wave based damage models. In this work, we extend the efficiency of SFEM in developing damage models, for detecting damages in built-up composite structures and porous composite structure. Finally, in reality, the nature of variability of the material properties in a composite structure, created a variety of structural problems, in which the uncertainties in different parameters play a major part. Uncertainties can be due to the lack of good knowledge of material properties or due to the change in the load and support condition with the change in environmental variables such as temperature, humidity and pressure. The modeling technique is also one of the major sources of uncertainty, in the analysis of composites. In fact, when the variations are large, we can find in the literatures available that the probabilistic models are advantageous than the deterministic ones. Further, without performing a proper uncertain wave propagation analysis, to characterize the effect of uncertainty in different parameters, it is difficult to maintain the reliability of the results predicted by SFEM based damage models. Hence, in this work, we also study the effect of uncertainty in different structural parameters on the performance of the damage models, based on the models developed in the present work. First, two SFEM based models, one based on the method of assembling 2D spectral elements and the other based on the concept of coupling 2D and 1D spectral elements, are developed to perform high frequency wave propagation analysis of some of the commonly used built-up composite structures. The SFEM model developed using the plate-beam coupling approach is then used to model wave propagation in a multiple stiffened structure and also to model the stiffened structures with different cross sections such as T-section, I-section and hat section. Next, the wave propagation in a porous laminated composite beam is modeled using SFEM, based on the modified rule of mixture approach. Here, the material properties of the composite is obtained from the modified rule of mixture model, which are then used in SFEM to develop a new model for solving wave propagation problems in porous laminated composite beam. The influence of the porosity content on the parameters such as wave number, group speed and also the effect of variation in theses parameters on the time responses are studied first. Next, the effect of the length of the porous region (in the propagation direction) and the frequency of loading, on the time responses, is studied. The change in the time responses with the change in the porosity of the structure is used as a parameter to find the porosity content in a composite beam. The SFEM models developed in this study is then used in the context of wave based damage detection, in the next study. First ,the actual measured response from a structure and the numerically obtained response from a SFEM model for porous laminated composite beam are used for the estimation of porosity, by solving a nonlinear optimization problem. The damage force indicator (DFI) technique is used to locate the porous region in a beam and also to find its length, using the measured wave propagation responses. DFI is derived from the dynamic stiffness matrix of the healthy structure along with the nodal displacements of the damaged structure. Next, a wave propagation based method is developed for modeling damage in stiffened composite structures, using SFEM, to locate and quantify the damage due to a crack and skin-stiffener debonding. The method of wave scattering and DFI technique are used to quantify the damage in the stiffened structure. In the uncertain wave propagation analysis, a study on the uncertainty in material parameters on the wave propagation responses in a healthy metallic beam structure is performed first. Both modulus of elasticity and density are considered uncertain and the analysis is performed using Monte-Carlo simulation (MCS) under the environment of SFEM. The randomness in the material properties are characterized by three different distributions namely normal, Weibul and extreme value distribution and their effect on wave propagation, in beam is investigated. Even a study is performed on the usage of different beam theories and their uncertain responses due to dynamic impulse load. A study is also conducted to analyze the wave propagation response In a composite structure in an uncertain environment using Neumann expansion blended with Monte-Carlo simulation (NE-MCS) under the environment of SFEM. Neumann expansion method accelerates the MCS, which is required for composites as there are many number of uncertain variables. The effect of the parameters like, fiber orientation, lay-up sequence, number of layers and the layer thickness on the uncertain responses due to dynamic impulse load, is thoroughly analyzed. Finally, a probabilistic sensitivity analysis is performed to estimate the sensitivity of uncertain material and fabrication parameters, on the SFEM based damage models for a porous laminated composite beam. MCS is coupled with SFEM, for the uncertain wave propagation analysis and the Kullback-Leibler relative entropy is used as the measure of sensitivity. The sensitivity of different input variables on the wave number, group speed and the values of DFI, are mainly considered in this study. The thesis, written in nine chapters, presents a unified document on wave propagation in healthy and defective composite structure subjected to both deterministic and highly uncertain environment.
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Books on the topic "Non deterministic approach"

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Khosrowshahi, S. R. Hatami. A non-deterministic approach to dynamic layout planning of flexible manufacturing systems. [s.l.]: typescript, 1991.

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AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (42nd 2001 Seattle, Wash.). A collection of technical papers: [42nd] AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference and Exhibit, AIAA/ASME/AHS Adaptive Structures Forum, AIAA Non-Deterministic Approaches Forum, AIAA Gossamer Spacecraft Forum : Seattle, Washington, 16-19 April, 2001. Reston, Va: American Institute of Aeronautics and Astronautics, 2001.

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Mischenko, Aleksandr, and Anastasiya Ivanova. Optimization models for managing limited resources in logistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082948.

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In the proposed monograph, optimization models for managing limited resources in logical systems are considered. Such systems are primarily used by industrial enterprises, transport companies and trade organizations, including those that carry out wholesale activities. As a rule, the efficiency of these objects largely depends on how rational use of limited resources such as: consumer camera business, labor, vehicles, etc. In this paper, various approaches to managing such resources are considered both for deterministic models and for the situation when a number of model parameters are not specified exactly, that is, for stochastic models. In this case, it is proposed to evaluate the stability of models to the occurrence of various types of risk events, both by the structure of the solution and by the functionality. It is addressed to senior students, postgraduates and masters studying in the specialty "Management" and "Logistics", as well as specialists in the field of logistics systems modeling.
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Healey, Richard. Conclusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198714057.003.0014.

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Quantum theory does not describe the world and so contributes little to natural philosophy: it implies neither that a particle can be in two places at once, that a cat can be neither dead nor alive, that there is instantaneous action at a distance, nor that our observations create the world they reveal. Quantum entanglement does not say that the world is radically holist or non-separable, that the world is indeterministic or deterministic, that mind influences matter, or that consciousness plays a special role in the natural world. But the theory does have lessons to teach about how philosophy should approach topics including causation, probability, laws, composition, and ontology that traditionally fall within metaphysics. Here the quantum revolution reinforces the pragmatist lesson that such topics are best approached by asking why agents like us should have developed the concepts we have when physically situated in a world like this.
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Sakas, William. Computational Approaches to Parameter Setting in Generative Linguistics. Edited by Jeffrey L. Lidz, William Snyder, and Joe Pater. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199601264.013.29.

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This article presents a non-exhaustive history of research that employs computational modeling of human language acquisition in Chomsky’s principles and parameters framework. The history underscores a tension that has evolved in the field between deterministic (triggering) and nondeterministic (search) approaches. Though it is now clear that the original and widely accepted conception of triggering was flawed, results from recent computational modeling efforts indicate that a modified deterministic triggering theory of human language acquisition may be viable after all.
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Lazzarini, Victor. Spectral Music Design. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197524015.001.0001.

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This volume offers a complete guide to a computational approach to spectral music-making. It provides, in a stepwise manner, a [ ] to the signal processing techniques and their application to computer music. The book begins with a series of fundamental definitions, delineating the basic concepts of spectral audio. This includes both a technical and a historical appreciation of the ideas related to the spectrum. The core of the text is formed by six chapters on the techniques of spectral musical signal processing. These are thoroughly illustrated with examples and code excerpts using the Python and Csound languages. This section of the book traces a path from the Fourier theorem to the consideration of non-deterministic signals, also in a step-by-step way discussing the various elements of spectral audio. The final part of the book is dedicated to the aesthetics of spectral music, and methods of design and composition, which apply the ideas and techniques explored earlier in the volume.
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Frigg, Roman. Chance and Determinism. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.24.

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Determinism and chance seem to be irreconcilable opposites: either something is chancy or it is deterministic, but not both. Yet there are processes which appear to square the circle by being chancy and deterministic at once, and the appearance is backed by well-confirmed scientific theories, such as statistical mechanics, which also seem to provide us with chances for deterministic processes. Is this possible, and if so how? In this chapter is a discussion of this question for probabilities as they occur in the empirical sciences. Particular attention is paid to broadly Humean approaches and to the method of arbitrary functions, which seem to offer the most promising accounts of deterministic chance.
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O’Neal, M. Angela. What Imaging Test Do I Order? Edited by Angela O’Neal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190609917.003.0012.

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The case illustrates how to approach imaging in pregnancy. Some basic principles of radiation exposure are reviewed. The effects of radiation are divided into either deterministic, dose-related, or stochastic, where exposure determines the probability of an outcome. Deterministic effects have a threshold below which the effect does not occur. The threshold may be small and may vary from person to person; whereas stochastic effects occur by chance and may occur without a threshold level. Cancer caused by radiation is an example of a stochastic effect. The overall safety of magnetic resonance imaging is discussed. Determining which imaging modality to order depends on the acuity of the situation and the information needed to know in order to adequately treat the mother.
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Proceedings of the AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and AIAA/ASME/AHS Adaptive Structures Forum and AIAA Non-deterministic Approaches Forum. American Institute of Aeronautics & Astronautics (AIAA),U.S., 1999.

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Weiss, Shira. Medieval Conceptions of Free Choice. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190684426.003.0002.

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The philosophic concept of free choice was debated heavily in medieval philosophy. Philosophers argued over whether or not human freedom is compatible with causation and divine foreknowledge, as questions of theological determinism were contested. A number of approaches to the philosophical problem of theological determinism emerged during this period from Jewish philosophers, such as Gersonides, Maimonides, and Ḥasdai Crescas, reflecting a range of libertarian, compatibilistic and deterministic positions which demonstrate the diversity of views on this issue. A summary of the various arguments of Albo’s Jewish and non-Jewish predecessors and contemporaries contributes to an understanding of Albo’s opinion on this contested topic, and to how he innovatively interprets biblical narratives in a unique way that demonstrates his belief.
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Book chapters on the topic "Non deterministic approach"

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Del Prete, Antonio, Teresa Primo, and Antonio A. De Vitis. "Non Deterministic Approach in Metal Forming Springback Simulation." In Sheet Metal 2007, 399–410. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-437-5.399.

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Müller, Sascha, Adeline Jordon, Andreas Gerndt, and Thomas Noll. "A Modular Approach to Non-deterministic Dynamic Fault Trees." In Lecture Notes in Computer Science, 243–57. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83903-1_16.

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Fučík, I., V. Klevar, and J. Piště;lák. "A Non — Deterministic Approach to the Computer Aided Design of the Electrical Motor." In Engineering Software IV, 219–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-21877-8_17.

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Braibant, V., F. Delcroix, A. Oudshoorn, and C. Boyer. "Non-Deterministic Methods for Product/Process Analysis and Robust Design — the “Possibilitic” Approach." In Integrated Design and Manufacturing in Mechanical Engineering ’98, 125–32. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9198-0_16.

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Platz, Roland. "Approach to Assess Basic Deterministic Data and Model Form Uncertaint in Passive and Active Vibration Isolation." In Lecture Notes in Mechanical Engineering, 208–23. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_17.

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AbstractThis contribution continues ongoing own research on uncertainty quantification in structural vibration isolation in early design stage by various deterministic and non-deterministic approaches. It takes into account one simple structural dynamic system example throughout the investigation: a one mass oscillator subject to passive and active vibration isolation. In this context, passive means that the vibration isolation only depends on preset inertia, damping, and stiffness properties. Active means that additional controlled forces enhance vibration isolation. The simple system allows a holistic, consistent and transparent look into mathematical modeling, numerical simulation, experimental test and uncertainty quantification for verification and validation. The oscillator represents fundamental structural dynamic behavior of machines, trusses, suspension legs etc. under variable mechanical loading. This contribution assesses basic experimental data and mathematical model form uncertainty in predicting the passive and enhanced vibration isolation after model calibration as the basis for further deterministic and non-deterministic uncertainty quantification measures. The prediction covers six different damping cases, three for passive and three for active configuration. A least squares minimization (LSM) enables calibrating multiple model parameters using different outcomes in time and in frequency domain from experimental observations. Its adequacy strongly depends on varied damping properties, especially in passive configuration.
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Schaeffner, Maximilian, Christopher M. Gehb, Robert Feldmann, and Tobias Melz. "Forward vs. Bayesian Inference Parameter Calibration: Two Approaches for Non-deterministic Parameter Calibration of a Beam-Column Model." In Lecture Notes in Mechanical Engineering, 173–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_15.

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AbstractMathematical models are commonly used to predict the dynamic behavior of mechanical structures or to synthesize controllers for active systems. Calibrating the model parameters to experimental data is crucial to achieve reliable and adequate model predictions. However, the experimental dynamic behavior is uncertain due to variations in component properties, assembly and mounting. Therefore, uncertainty in the model parameters can be considered in a non-deterministic calibration. In this paper, we compare two approaches for a non-deterministic parameter calibration, which both consider uncertainty in the parameters of a beam-column model. The goal is to improve the model prediction of the axial load-dependent lateral dynamic behavior. The investigation is based on a beam-column system subjected to compressive axial loads used for active buckling control. A representative sample of 30 nominally identical beam-column systems characterizes the variations in the experimental lateral axial load-dependent dynamic behavior. First, in a forward parameter calibration approach, the parameters of the beam-column model are calibrated separately for all 30 investigated beam-column systems using a least squares optimization. The uncertainty in the parameters is obtained by assuming normal distributions of the separately calibrated parameters. Second, in a Bayesian inference parameter calibration approach, the parameters are calibrated using the complete sample of experimental data. Posterior distributions of the parameters characterize the uncertain dynamic behavior of the beam-column model. For both non-deterministic parameter calibration approaches, the predicted uncertainty ranges of the axial load-dependent lateral dynamic behavior are compared to the uncertain experimental behavior and the most accurate results are identified.
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Ndognkon Manga, Maxwell, and Marcel Fouda Ndjodo. "An Approach for Non-deterministic and Automatic Detection of Learning Styles with Deep Belief Net." In Lecture Notes in Networks and Systems, 427–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80126-7_32.

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Gupta, Richa, and Priti Sehgal. "A Non-deterministic Approach to Mitigate Replay Attack and Database Attack Simultaneously on Iris Recognition System." In Intelligent Human Computer Interaction, 239–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04021-5_22.

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Mazumder, Arghadeep, Soumya Ghosal, Susmita Das, and Biswarup Neogi. "Study of Sampled Data Control Approach towards Prosthetic Eye Model for Initiating the Non Deterministic Aspect." In Wireless Networks and Computational Intelligence, 169–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31686-9_19.

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Sakai, Hiroshi, and Akimichi Okuma. "An Algorithm for Checking Dependencies of Attributes in a Table with Non-deterministic Information: A Rough Sets Based Approach." In PRICAI 2000 Topics in Artificial Intelligence, 219–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44533-1_25.

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Conference papers on the topic "Non deterministic approach"

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Li, Chenzhao, Sankaran Mahadevan, You Ling, Liping Wang, and Sergio Choze. "A dynamic Bayesian network approach for digital twin." In 19th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-1566.

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Kapteyn, Michael G., Karen E. Willcox, and Andy Philpott. "A Distributionally Robust Approach to Black-Box Optimization." In 2018 AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0666.

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SHAH, HARSHEEL R., Serhat Hosder, and Tyler Winter. "A Mixed Uncertainty Quantification Approach with Evidence Theory and Stochastic Expansions." In 16th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0298.

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Colomes, Oriol, Guglielmo Scovazzi, Ihab Sraj, Omar Knio, and Olivier Le Maître. "A Finite Volume Error Estimator Inspired by the Variational Multiscale Approach." In 2018 AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-1178.

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Thomison, William D., and Douglas L. Allaire. "A Model Reification Approach to Fusing Information from Multifidelity Information Sources." In 19th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-1949.

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Arnett, Timothy J., Brandon Cook, Matthew Clark, and Kuldip Rattan. "Fuzzy Logic Controller Stability Analysis Using a Satisfiability Modulo Theories Approach." In 19th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-1773.

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Fischer, Christopher C., and Ramana V. Grandhi. "A Surrogate-based Adjustment Factor Approach to Multi-Fidelity Design Optimization." In 17th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-1375.

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Suga, Yuki, and Wataru Yamazaki. "Aerodynamic Uncertainty Quantification of Supersonic Biplane Airfoil via Polynomial Chaos Approach." In 17th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-1815.

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Ghanem, Roger G., Charanraj Thimissetti, iman yadegaran, Vahid Kasharvazaddeh, Sami Masri, John Red-Horse, Robert Moser, Todd A. Oliver, Pol Spanos, and Osama J. Aldraihem. "A Probabilistic Approach to the NASA Langley Multidisciplinary Uncertainty Quantification Challenge Problem." In 16th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-1348.

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Wang, Zequn, and Pingfeng Wang. "Probability of Failure Analysis and Design Using An Efficient Sequential Sampling Approach." In 16th AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0642.

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Reports on the topic "Non deterministic approach"

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Roye, Thorsten. Unsettled Technology Areas in Deterministic Assembly Approaches for Industry 4.0. SAE International, August 2021. http://dx.doi.org/10.4271/epr2021018.

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Increased production rates and cost reduction are affecting manufacturing in all sectors of the mobility industry. One enabling methodology that could achieve these goals in the burgeoning “Industry 4.0” environment is the deterministic assembly (DA) approach. The DA approach is defined as an optimized assembly process; it always forms the same final structure and has a strong link to design-for-assembly and design-for-automation methodologies. It also looks at the whole supply chain, enabling drastic savings at the original equipment manufacturer (OEM) level by reducing recurring costs and lead time. Within Industry 4.0, DA will be required mainly for the aerospace and the space industry, but serves as an interesting approach for other industries assembling large and/or complex components. In its entirety, the DA approach connects an entire supply chain—from part manufacturing at an elementary level to an OEM’s final assembly line level. Addressing the whole process of aircraft design and manufacturing is necessary to develop further collaboration models between OEMs and the supply chain, including addressing the most pressing technology challenges. Since all parts aggregate at the OEM level, the OEM—as an integrator of all these single parts—needs special end-to-end methodologies to drastically decrease cost and lead time. This holistic approach can be considered in part design as well (in the design-for-automation and design-for-assembly philosophy). This allows for quicker assembly at the OEM level, such as “part-to-part” or “hole-to-hole” approaches, versus traditional, classical assembly methods like manual measurement or measurement-assisted assembly. In addition, it can increase flexibility regarding rate changes in production (such as those due to pandemic- or climate-related environmental challenges). The standardization and harmonization of these areas would help all industries and designers to have a deterministic approach with an end-to-end concept. Simulations can easily compare possible production and assembly steps with different impacts on local and global tolerances. Global measurement feedback needs high-accuracy turnkey solutions, which are very costly and inflexible. The goal of standardization would be to use Industry 4.0 feedback and features, as well as to define several building blocks of the DA approach as a one-way assembly (also known as one-up assembly, or “OUA”), false one-way assembly, “Jig-as-Master,” etc., up to the hole-to-hole assembly approach. The evolution of these assembly principles and the link to simulation approaches are undefined and unsolved domains; they are discussed in this report. They must be discussed in greater depth with aims of (first) clarifying the scope of the industry-wide alignment needs and (second) prioritizing the issues requiring standardization. NOTE: SAE EDGE™ Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE™ Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE™ Research Reports are not intended to resolve the challenges they identify or close any topic to further scrutiny.
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