Gotowe bibliografie tematyczne / CSP modelling framework

Gotowa bibliografia na temat „CSP modelling framework”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 19 lutego 2023

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Artykuły w czasopismach na temat "CSP modelling framework"

Cai, Qian, Weiqiang Gong, Yue Deng i Haixian Wang. "Single-Trial EEG Classification via Common Spatial Patterns with Mixed Lp- and Lq-Norms". Mathematical Problems in Engineering 2021 (3.06.2021): 1–13. http://dx.doi.org/10.1155/2021/6645322.

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As a multichannel spatial filtering technique, common spatial patterns (CSP) have been successfully applied in brain-computer interfaces (BCI) community based on electroencephalogram (EEG). However, it is sensitive to outliers because of the employment of the L2-norm in its formulation. It is beneficial to perform robust modelling for CSP. In this paper, we propose a robust framework, called CSP-Lp/q, by formulating the variances of two EEG classes with Lp- and Lq-norms ( 0 < p and q < 2 ) separately. The method CSP-Lp/q with mixed Lp- and Lq-norms takes the class-wise difference into account in formulating the sample dispersion. We develop an iterative algorithm to optimize the objective function of CSP-Lp/q and show its monotonity theoretically. The superiority of the proposed CSP-Lp/q technique is experimentally demonstrated on three real EEG datasets of BCI competitions.

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Phalp, Keith Thomas. "The CAP framework for business process modelling". Information and Software Technology 40, nr 13 (listopad 1998): 731–44. http://dx.doi.org/10.1016/s0950-5849(98)00058-5.

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Ivkić, Igor, Patrizia Sailer, Antonios Gouglidis, Andreas Mauthe i Markus Tauber. "A Security Cost Modelling Framework for Cyber-Physical Systems". ACM Transactions on Internet Technology 22, nr 2 (31.05.2022): 1–31. http://dx.doi.org/10.1145/3450752.

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Cyber-Physical Systems (CPS) are formed through interconnected components capable of computation, communication, sensing and changing the physical world. The development of these systems poses a significant challenge, since they have to be designed in a way to ensure cyber-security without impacting their performance. This article presents the Security Cost Modelling Framework (SCMF) and shows supported by an experimental study how it can be used to measure, normalise, and aggregate the overall performance of a CPS. Unlike previous studies, our approach uses different metrics to measure the overall performance of a CPS and provides a methodology for normalising the measurement results of different units to a common Cost Unit . Moreover, we show how the Security Costs can be extracted from the overall performance measurements, which allows us to quantify the overhead imposed by performing security-related tasks. Furthermore, we describe the architecture of our experimental testbed and demonstrate the applicability of SCMF in an experimental study. Our results show that measuring the overall performance and extracting the security costs using SCMF can serve as basis to redesign interactions to achieve the same overall goal at less costs.

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Alharbi, Yassir, Daniel Arribas-Bel i Frans Coenen. "Sustainable Development Goal Relational Modelling and Prediction". Journal of Data Intelligence 2, nr 3 (wrzesień 2021): 348–67. http://dx.doi.org/10.26421/jdi2.3-3.

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A methodology for UN Sustainable Development Goal (SDG) attainment prediction is presented, the Sustainable Development Goals Correlation Attainment Predictions Extended framework SDG-CAP-EXT. Unlike previous SDG attainment methodologies, SDG-CAP-EXT takes into account the potential for a causal relationship between SDG indicators both with respect to the geographic entity under consideration (intra-entity) and neighbouring geographic entities to the current entity (inter-entity). The challenge is in the discovery of such causal relationships. A ensemble approach is presented that combines the results of a number of alternative causality relationship identification mechanisms. The identified relationships are used to build multi-variate time series prediction models that feed into a bottom-up SDG prediction taxonomy, which is used to make SDG attainment predictions and rank countries using a proposed Attainment Likelihood Index that reflects the likelihood of goal attainment. The framework is fully described and evaluated. The evaluation demonstrates that the SDG-CAP-EXT framework can produce better predictions than alternative models that do not consider the potential for intra- and inter-causal relationships.

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Ahmed, M. Daud, i David Sundaram. "A Framework for Sustainability Modelling and Reporting". International Journal of Environmental, Cultural, Economic, and Social Sustainability: Annual Review 3, nr 2 (2007): 29–40. http://dx.doi.org/10.18848/1832-2077/cgp/v03i02/54348.

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Ramachandran, Muthu. "SEF4CPSIoT Software Engineering Framework for Cyber-Physical and IoT Systems". International Journal of Hyperconnectivity and the Internet of Things 5, nr 1 (styczeń 2021): 1–24. http://dx.doi.org/10.4018/ijhiot.2021010101.

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Cyber-physical systems (CPS) have emerged to address the need for more efficient integration of modern advancement in cyber and wireless communications technologies such as 5G with physical objects. In addition, CPSs systems also needed to efficient control of security and privacy when we compare them with internet of things (IoT). In recent years, we experienced lack of security concerns with smart home IoT applications such as home security camera, etc. Therefore, this paper proposes a systematic software engineering framework for CPS and IoT systems. This paper also proposed a comprehensive requirements engineering framework for CPS-IoT applications which can also be specified using BPMN modelling and simulation to verify and validate CPS-IoT requirements with smart contracts. In this context, one of the key contribution of this paper is the innovative and generic requirements classification model for CPS-IoT application services, and this can also be applied to other emerging technologies such as fog, edge, cloud, and blockchain computing.

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Thule, Casper, Kenneth Lausdahl, Cláudio Gomes, Gerd Meisl i Peter Gorm Larsen. "Maestro: The INTO-CPS co-simulation framework". Simulation Modelling Practice and Theory 92 (kwiecień 2019): 45–61. http://dx.doi.org/10.1016/j.simpat.2018.12.005.

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Hussein, N., i N. M. Nor. "Proposed approach for modelling of military capabilities using based planning (CBP) framework". Journal of Fundamental and Applied Sciences 9, nr 3S (23.01.2018): 518. http://dx.doi.org/10.4314/jfas.v9i3s.40.

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Leitch, Michael, Yishak Yusuf i Yongsheng Ma. "Interdisciplinary semantic model for managing the design of a steam-assisted gravity drainage tooling system". Journal of Computational Design and Engineering 5, nr 1 (13.11.2017): 68–79. http://dx.doi.org/10.1016/j.jcde.2017.11.004.

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Abstract Complex engineering systems often require extensive coordination between different expert areas in order to avoid costly design iterations and rework. Cyber-physics system (CPS) engineering methods could provide valuable insights to help model these interactions and optimize the design of such systems. In this work, steam assisted gravity drainage (SAGD), a complex oil extraction process that requires deep understanding of several physical-chemical phenomena, is examined whereby the complexities and interdependencies of the system are explored. Based on an established unified feature modeling scheme, a software modeling framework is proposed to manage the design process of the production tools used for SAGD oil extraction. Applying CPS methods to unify complex phenomenon and engineering models, the proposed CPS model combines effective simulation with embedded knowledge of completion tooling design in order to optimize reservoir performance. The system design is expressed using graphical diagrams of the unified modelling language (UML) convention. To demonstrate the capability of this system, a distributed research group is described, and their activities coordinated using the described CPS model. Highlights A modelling framework is proposed to manage interaction between engineering systems. Phenomenon feature concept is introduced to facilitate knowledge representation. Model framework is extensible and facilitates interoperability. Steam assisted gravity drainage oil extraction process is modelled.

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Baba, Takamichi, Takayuki Kanemori i Yoshiyuki Ninomiya. "A $C_p$ criterion for semiparametric causal inference". Biometrika 104, nr 4 (9.10.2017): 845–61. http://dx.doi.org/10.1093/biomet/asx054.

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Summary For marginal structural models, which play an important role in causal inference, we consider a model selection problem within a semiparametric framework using inverse-probability-weighted estimation or doubly robust estimation. In this framework, the modelling target is a potential outcome that may be missing, so there is no classical information criterion. We define a mean squared error for treating the potential outcome and derive an asymptotic unbiased estimator as a $C_{p}$ criterion using an ignorable treatment assignment condition. Simulation shows that the proposed criterion outperforms a conventional one by providing smaller squared errors and higher frequencies of selecting the true model in all the settings considered. Moreover, in a real-data analysis we found a clear difference between the two criteria.

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Rozprawy doktorskie na temat "CSP modelling framework"

Thornton, John Richard, i n/a. "Constraint Weighting Local Search for Constraint Satisfaction". Griffith University. School of Computing and Information Technology, 2000. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050901.142439.

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One of the challenges for the constraint satisfaction community has been to develop an automated approach to solving Constraint Satisfaction Problems (CSPs) rather than creating specific algorithms for specific problems. Much of this work has concentrated on the development and improvement of general purpose backtracking techniques. However, the success of relatively simple local search techniques on larger satisfiability problems [Selman et a!. 1992] and CSPs such as the n-queens [Minton et al. 1992] has caused interest in applying local search to constraint satisfaction. In this thesis we look at the usefulness of constraint weighting as a local search technique for constraint satisfaction. The work is based on the clause weighting ideas of Selman and Kautz [1993] and Moths [1993] and applies, evaluates and extends these ideas from the satisfiability domain to the more general domain of CSPs. Specifically, the contributions of the thesis are: 1. The introduction of a local search taxonomy. We examine the various better known local search techniques and recognise four basic strategies: restart, randomness, memory and weighting. 2. The extension of the CSP modelling framework. In order to represent and efficiently solve more realistic problems we extend the C SP modelling framework to include array-based domains and array-based domain use constraints. 3. The empirical evaluation of constraint weighting. We compare the performance of three constraint weighting strategies on a range of CSP and satisflability problems and with several other local search techniques. We find that no one technique dominates in all problem domains. 4. The characterisation of constraint weighting performance. Based on our empirical study we identiIS' the weighting behaviours and problem features that favour constrtt weighting. We conclude weighting does better on structured problems where the algorithm can recognise a harder sub-group of constraints. 5. The extension of constraint weighting. We introduce an efficient arc weighting algorithm that additionally weights connections between constraints that are simultaneously violated at a local minimum. This algorithm is empirically shown to outperform standard constraint weighting on a range of CSPs and within a general constraint solving system. Also we look at combining constraint weighting with other local search heuristics and find that these hybrid techniques can do well on problems where the parent algorithms are evenly matched. 6. The application of constraint weighting to over constrained domains. Our empirical work suggests constraint weighting does well for problems with distinctions between constraint groups. This led us to investigate solving real-world over constrained problems with hard and soft constraint groups and to introduce two dynamic constraint weighting heuristics that maintain a distinction between hard and soft constraint groups while still adding weights to violated constraints in a local minimum. In an empirical study, the dynamic schemes are shown to outperform other fixed weighting and non-weighting systems on a range of real world problems. In addition, the performance of weighting is shown to degrade less severely when soft constraints are added to the system, suggesting constraint weighting is especially applicable to realistic, hard and soft constraint problems

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Części książek na temat "CSP modelling framework"

Benzadri, Zakaria, Takieddine Bouheroum, Youcef Ouassim Cheloufi, Mohamed Nadir Hassani i Faiza Belala. "A Modelling Framework for CPS-Based Industry 4.0: Application to Manufacturing Systems". W Modern Industrial IoT, Big Data and Supply Chain, 3–10. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6141-6_1.

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Fernandes, Sofia R., Mariana Pereira, Sherif M. Elbasiouny, Yasin Y. Dhaher, Mamede de Carvalho i Pedro C. Miranda. "Interplay Between Electrical Conductivity of Tissues and Position of Electrodes in Transcutaneous Spinal Direct Current Stimulation (tsDCS)". W Brain and Human Body Modelling 2021, 101–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15451-5_7.

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AbstractTranscutaneous Spinal Direct Current Stimulation (tsDCS) is a neuromodulatory technique that applies low intensity (2–4 mA) direct currents to the spinal cord through electrodes placed above or near the vertebral column. As in transcranial electric stimulation, tsDCS induces an electric field in the spinal cord that can transiently change the transmembrane potential of spinal neurons or influence synaptic communication. Anatomical features near the electrodes or in the current path can originate local variations of the electric field magnitude and orientation that result in different effects generated at neuronal and synaptic level. Accurate realistic models of the spinal cord and surrounding tissues can provide a deeper understanding on how and why these variations occur.Our research aims at studying how electrode placement interacts with electrical conductivities of the tissues located in the current path. Using a realistic human model of the spinal cord and surrounding tissues, we estimated the electric field induced by tsDCS, considering different combinations of electrode positions and electrical conductivity of relevant tissues. Our study started from a homogeneous conductivity paradigm up to a full heterogeneous model. The results show that electrode placement influences the electric field orientation, while the conductivities of vertebral bone and CSF can lead to local electric field hotspots in spinal segments located in the current path. Understanding the interplay between these two effects can provide a solid framework to target specific spinal circuits in terms of magnitude and field orientation towards a more personalized approach.

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Thakker, Dhavalkumar, Taha Osman i David Al-Dabass. "Semantic Web Services Composition with Case Based Reasoning". W Intelligent, Adaptive and Reasoning Technologies, 36–63. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-595-7.ch003.

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Web service development is encouraging scenarios where individual or integrated application services can be seamlessly and securely published on the Web without the need to expose their implementation details. However, as Web services proliferate, it becomes difficult to matchmake and integrate them in response to users requests. The goal of our research is to investigate the utilization of the Semantic Web in building a developer-transparent framework facilitating the automatic discovery and composition of Web services. In this chapter, we present a Semantic Case Based Reasoner (SCBR) framework that utilizes the case based reasoning methodology for modelling dynamic Web service discovery and composition. Our approach is original as it considers the runtime behaviour of a service resulting from its execution. Moreover, we demonstrate that the accuracy of automatic matchmaking of Web services can be further improved by taking into account the adequacy of past matchmaking experiences for the requested task. To facilitate Web services composition, we extend our fundamental discovery and matchmaking algorithm using a light-weight knowledge-based substitution approach to adapt the candidate service experiences to the requested solution before suggesting more complex and computationally taxing AI-based planning-based transformations. The inconsistency problem that occurs while adapting existing service composition solutions is addressed with a novel methodology based on the Constraint Satisfaction Problem (CSP).

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Ramachandran, Muthu. "SEF4CPSIoT Software Engineering Framework for Cyber-Physical and IoT Systems". W Research Anthology on Convergence of Blockchain, Internet of Things, and Security, 445–70. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7132-6.ch026.

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Srewil, Yaseen, i Raimar J. Scherer. "Cyber-Physical Systems Framework for Smart Built-Environments". W Technological Developments in Industry 4.0 for Business Applications, 129–48. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-4936-9.ch006.

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Cyber-physical systems (CPS) can be seen as digitally-driven technological fusions of physical, spatial and virtual models. Thereby, the construction entities, locations and processes are tightly linked to the digital building models (BIM) using automated data capturing (ADC) solutions. This chapter focuses on the challenge of modelling a cyber–physical systems approach for constructing domains in order to effectively exploit the computation, control and communication capabilities. Pairing BIM and ADC technologies offers an adequate solution bridging the information gaps and promoting the collaboration among digital, spatial and physical construction entities. The results are cyber-physical objects (CPOs) at a level of “smartness” that provides enhancement of digital capabilities and the ability of context-awareness. These hybrid objects of digital equivalents and physical entities can be embedded in the construction and logistics processes in order to track progress and monitor the construction site activities and control flow close to real-time.

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Carter, Louise, Jennifer Hancock i Mark Manning. "Ownership, Incentives and Regulation of CCP Risks". W Analyzing the Economics of Financial Market Infrastructures, 272–303. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8745-5.ch014.

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This chapter develops a framework to analyse the factors influencing central counterparties' (CCPs') risk controls and the role of regulation. The framework illustrates the importance of sound regulation of CCPs and helps to explain why different CCPs may make different risk management choices. Key factors include ownership, governance and the profile and preferences of participants. International standards for the design and operation of CCPs and other financial market infrastructures (FMIs) are reflected in the Principles for Financial Market Infrastructures (PFMIs). Modelling key elements of these standards, the chapter demonstrates the importance of a flexible regulatory framework that achieves the desired level of stability while allowing the mix of risk controls applied by each CCP to vary according to its particular incentives and operating environment. The chapter goes on to discuss the emerging trends towards competition and interoperability between CCPs and cross-border provision of clearing services, and consider the implications for CCPs' risk management choices.

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Hankin, Paul, Mohammed Almanei i Konstantinos Salonitis. "An ISM Analysis of the Critical Success Factors in ERP Implementation". W Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210066.

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Enterprise Resource Planning (ERP) offers many benefits in aligning business operations. However, these implementations can be problematic and prone to failure. Critical success factors (CSF) which can improve the success rates of implementation have been researched and an interpretive structural modelling (ISM) was conducted to identify the interrelationships between factors. An ISM based model was created and this was achieved by completing the self-interaction matrix (SSIM), reachability matrix and level partitioning. This led to an ISM-based model being created followed by a cross-impact matrix multiplication (MICMAC) analysis to identify the factor’s relative driving power and level of dependence. The project revealed that top management support was the strongest CSF with a high driving power and low dependence. In addition, fourteen other factors displayed strong driving power with high dependence. The findings from the project were summarized into a recommended framework for manufacturing organizations to follow to increase the likelihood of a successful ERP implementation.

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Youcef, Bouras. "Research Information". W Advanced Deep Learning Applications in Big Data Analytics, 218–72. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2791-7.ch011.

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This chapter describes the framework of an analytical study around the computational intelligence algorithms, which are prompted by natural mechanisms and complex biological phenomena. These algorithms are numerous and can be classified in two great families: firstly the family of evolutionary algorithms (EA) such as genetic algorithms (GAs), genetic programming (GP), evolutionary strategy (ES), differential evolutionary (DE), paddy field algorithm (PFA); secondly, the swarm intelligence algorithms (SIA) such as particle swarm optimisation (PSO), ant colony optimization (ACO), bacteria foraging optimisation (BFO), wolf colony algorithm (WCA), fireworks algorithm (FA), bat algorithm (BA), cockroaches algorithm (CA), social spiders algorithm (SSA), cuckoo search algorithm (CSA), wasp swarm optimisation (WSO), mosquito optimisation algorithm (MOA). The authors have detailed the functioning of each algorithm following a structured organization (the descent of the algorithm, the inspiration source, the summary, and the general process) that offers for readers a thorough understanding. This study is the fruit of many years of research in the form of synthesis, which groups the contributions offered by several researchers in the meta-heuristic field. It can be the beginning point for planning and modelling new algorithms or improving existing algorithms.

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Streszczenia konferencji na temat "CSP modelling framework"

Ouaknine, J. "A framework for model-checking timed CSP". W IEE Colloquium. Applicable Modelling, Verification and Analysis Techniques for Real-Time Systems. IEE, 1999. http://dx.doi.org/10.1049/ic:19990011.

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Murray, Titus, i William L. Power. "Conceptual Framework for Hydrologic Modelling of Faults". W PESA Symposium Qld 2022. PESA, 2022. http://dx.doi.org/10.36404/lmyz2214.

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Unconventional oil and gas developments may require considering the potential hydrological impacts of faults on near-surface groundwater assets. It is vital that faults are represented appropriately. There are several examples where faults have been invoked as part of “Straw Man” arguments to oppose development (Currell et. al. 2017 and Iverach et. al. 2020). The processes of dewatering and hydraulic fracture stimulation may generate preferential pathways for flow that impact aquifers and groundwater dependant ecosystems. As part of this, a clear framework for the assessment of the impact of faults has been provided in Murray and Power 2021. This study presents three distinct end-member geological scenarios and outlines methods for characterising faultrelated groundwater flow within a risk assessment context. 1) Regional aquitard isolates aquifer from development. Low risk of leakage across the aquitard because there are no faults, or the faults have displacements less than the thickness of the aquitard. 2) Region-wide aquitard is not present, the development and the groundwater assets are within the same groundwater system. CSG development may cause pressure to propagate parallel to the strike and dip of the fault in the fault damage zones. 3) Regional aquitard(s) are present, but larger displacement faults breach the aquitards, allowing for possible combinations of across-fault connections between the different aquifers, and between aquifers and the coal seams. In this scenario, potential flow pathways between the groundwater and the development need to be characterised using Allan Maps (fault plane profiles).

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Lu, Ying, Jedediyah Williams, Jeff Trinkle i Claude Lacoursière. "A Framework for Problem Standardization and Algorithm Comparison in Multibody System". W ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-35041.

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The underlying dynamic model of multibody systems takes the form of a differential Complementarity Problem (dCP), which is nonsmooth and thus challenging to integrate. The dCP is typically solved by discretizing it in time, thus converting the simulation problem into the problem of solving a sequence of complementarity problems (CPs). Because the CPs are difficult to solve, many modelling options that affect the dCPs and CPs have been tested, and some reformulation and relaxation options affecting the properties of the CPs and solvers have been studied in the hopes to find the “best” simulation method. One challenge within the existing literature is that there is no standard set of benchmark simulations. In this paper, we propose a framework of Benchmark Problems for Multibody Dynamics (BPMD) to support the fair testing of various simulation algorithms. We designed and constructed a BPMD database and collected an initial set of solution algorithms for testing. The data stored for each simulation problem is sufficient to construct the CPs corresponding to several different simulation design decisions. Once the CPs are constructed from the data, there are several solver options including the PATH solver, nonsmooth Newton methods, fixed-point iteration methods for nonlinear problems, and Lemke’s algorithm for linear problems. Additionally, a user-friendly interface is provided to add customized models and solvers. As an example benchmark comparison, we use data from physical planar grasping experiments. Using the input from a physical experiment to drive the simulation, uncertain model parameters such as friction coefficients are determined. This is repeated for different simulation methods and the parameter estimation error serves as a measure of the suitability of each method to predict the observed physical behavior.

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Fang, XiaoHang, Nikola Sekularac i Martin H. Davy. "Parametric Studies of a Novel Combustion Modelling Approach for Low Temperature Diesel Spray Simulation". W ASME 2020 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icef2020-2924.

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Abstract Conditional Source-term Estimation (CSE) is a combustion model based on the conditional moment hypothesis where transport equations for reactive species are conditionally averaged on conserved scalars. Major advantages of this strategy are the reduced spatial dependence of the conditional averages and negligible fluctuations around the conditional averages, which considerably simplify the reaction rate closure. Historically, simulations using CSE are limited to low carbon fuels (i.e. methane and hydrogen) where the reduced chemistry manifold can be constructed through techniques including intrinsic low dimensional manifolds and trajectory generated manifolds. However, the use of such strategies to create manifolds for diesel surrogates has proven problematic. In this study, the potential of a combination of an unsteady Flamelet Generated Manifold (FGM) and the Conditional Source-term Estimation approach to predict the ignition and flame propagation on an autoigniting n-dodecane spray flame is assessed. Simulations are performed on a single-hole injection of n-dodecane under a wide range of Engine Combustion Network’s “Spray A” conditions within a Reynolds-averaged Navier-Stokes (RANS) framework. Results from parametric sweeps of ambient temperature and oxygen concentration are qualitatively validated against experimental data from the literature and compared against predictions from an industry standard well-stirred reactor model. The efficacy of the CSE-FGM RANS approach in predicting flame characteristics is evaluated and further compared with high fidelity CSE-FGM simulations using the Large Eddy Simulation (LES) turbulence model. Overall, it was found that the CSE-FGM RANS model was able to capture global flame properties — showing particular strength in predicting auto-ignition events in the low temperature region. The model was also able to satisfactorily capture details of the two-stage ignition process. The results were shown to be consistent with those of the CSE-FGM LES model, demonstrating the adaptability of the CSE-FGM approach to different turbulence modelling paradigms.

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You, S., i C. N. Rasmussen. "Generic modelling framework for economic analysis of battery systems". W IET Conference on Renewable Power Generation (RPG 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.0147.

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El Safti, Hisham, i Hocine Oumeraci. "Modelling Sand Foundation Behaviour Underneath Caisson Breakwaters Subject to Breaking Wave Impact". W ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10281.

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A one-way CFD-CSD coupled model system is presented to reproduce large scale experiments of a caisson breakwater, subject to wave attack. The Computational Structural Dynamics (CSD) model is developed using the finite volume method for the fully dynamic, fully coupled Biot equations. The fully coupled poro-mechanical analysis is handled in a segregated approach in which the skeleton displacement, the pore fluid pressure and the pore fluid velocity (relative to the skeleton) are decoupled at the iteration level. The pore fluid pressure-velocity coupling is resolved using the PISO (Pressure Implicit with Splitting of Operators) algorithm. Two simplifications to the porous media formulations were introduced: (1) neglecting convective acceleration of pore fluid and (2) fully neglecting acceleration of the pore fluid (the u-p approximation). A frictional contact model is implemented to model soil-structure interaction. A multi-surface plasticity model with the Drucker-Prager failure criterion is introduced to model the behavior of sand foundations under cyclic load posed by wave action on the caisson breakwater. An incompressible (constant density) multiphase Computational Fluid Dynamics (CFD) solver is developed for solving flow inside and outside porous media simultaneously using the principle of volume averaged velocity. A seepage model is implemented to model flow resistance of porous media that includes viscous, transitional, inertial and transient terms. An additional term is introduced to the fluid continuity equation to account for fluid mixture (water and air) compressibility (inverse of bulk modulus). The CFD-CSD model system is developed using the OpenFOAM® framework.

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Good, N., E. A. Martinez Cesena, Xuezhi Liu Xuezhi Liu i P. Mancarella. "A business case modelling framework for smart multi-energy districts". W CIRED Workshop 2016. Institution of Engineering and Technology, 2016. http://dx.doi.org/10.1049/cp.2016.0768.

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Martin, Michael. "A Comparison of Finite Element Cohesive-Zone Modelling With the Process-Zone Approach for the Prediction of Delayed Hydride Cracking". W ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97077.

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Zirconium alloys, as used in water-cooled nuclear reactors, are susceptible to a time-dependent damage mechanism known as Delayed Hydride Cracking, or DHC. Corrosion of the zirconium alloy in the presence of water generates hydrogen that subsequently diffuses through the metallic structure towards stress concentrating features such as notches or cracks. Canadian standard CSA N285.8–10 uses a process-zone modelling approach to define a threshold stress level beyond which DHC is predicted to occur. The process-zone analysis to calculate the threshold stress level generally proceeds by representing the process-zone as a crack, the length of which is determined by the superposition of stress intensity factors obtained from handbook solutions or cracked-body finite element models. Process-zone models are a subset of the more general class of cohesive-zone models and cohesive elements are available in a number of standard finite element codes. Cohesive elements can be used to simulate the process-zone response, or indeed more complex cohesive behaviour. In this paper, the stress and displacement results from finite element based cohesive-zone modelling of a sharp crack and blunt notches of various root radii are compared with analytical process-zone solutions. The cohesive-zone results are also compared with the process-zone formulation used in CSA N285.8–10. The results show that finite element based cohesive-zone analysis can be used to replicate the process-zone results. The key benefit of finite element based cohesive-zone modelling is that it provides a framework for investigating the DHC characteristics of arbitrary hydride distributions, using readily available techniques.

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Niu, Jinlin, Lidong Wang, Jiong Guo i Fu Li. "Development of Single Pebble Benchmark Ex. I-2A for IAEA UAM CRP With MOOSE". W 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82155.

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Ex. I-2a is Uncertainty Analysis in Modelling (UAM) of stand-alone thermal-hydraulics in steady state. It belongs to IAEA Coordinated Research Project (CRP). In this paper, the work is divided into two steps. Firstly, a single pebble model is developed based on Multiphysics Object Oriented Simulation Environment (MOOSE). The model includes two regions: homogeneous fuel region and shell region. One physical field is concerned: solid temperature field. The field is solved in a Jacobian-free Newton–Krylov (JFNK) way in the MOOSE framework. Secondly, perturbation of thermal parameters is done. In this paper, helium coolant temperature, convective heat transfer coefficient, power density and solid conductivity are the main thermal parameters which are concerned. Different kinds of perturbation of thermal parameters are conducted. Thus, variation of temperature profile across the pebble, Doppler temperature, moderator temperature and maximum temperature could be got.

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Lopez Cortes, J. "A methodological framework for modelling complex technical marine systems for diagnostic purposes". W Second International Conference on `Intelligent Systems Engineering'. IEE, 1994. http://dx.doi.org/10.1049/cp:19940641.

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