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Relevant bibliographies by topics / Hierarchical multiscale approach

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Academic literature on the topic 'Hierarchical multiscale approach'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Hierarchical multiscale approach"

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Bellocchio, Francesco, S. Ferrari, V. Piuri, and N. A. Borghese. "Hierarchical Approach for Multiscale Support Vector Regression." IEEE Transactions on Neural Networks and Learning Systems 23, no. 9 (2012): 1448–60. http://dx.doi.org/10.1109/tnnls.2012.2205018.

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Liu, Fei, and Ming Yang. "Compositional colored Petri net approach to multiscale modeling for systems biology." International Journal of Modeling, Simulation, and Scientific Computing 05, no. 04 (2014): 1450017. http://dx.doi.org/10.1142/s1793962314500172.

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Colored Petri nets have been demonstrated as a powerful tool for modeling multiscale systems biology. However, the construction of colored Petri nets for biological systems requires prior knowledge about colored Petri nets and is often error-prone and cumbersome for biologists, especially when the communication between components and hierarchical organization of components in a multiscale model are an issue. To address this problem, an established way is to develop small components and then compose them into bigger models. In this paper, we present a compositional colored Petri net approach to

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Maestri, Matteo. "Escaping the trap of complication and complexity in multiscale microkinetic modelling of heterogeneous catalytic processes." Chemical Communications 53, no. 74 (2017): 10244–54. http://dx.doi.org/10.1039/c7cc05740g.

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Bruggi, Matteo, and Alberto Taliercio. "Hierarchical Infills for Additive Manufacturing Through a Multiscale Approach." Journal of Optimization Theory and Applications 187, no. 3 (2020): 654–82. http://dx.doi.org/10.1007/s10957-020-01685-y.

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Menascé, D. A., V. A. F. Almeida, R. Riedi, F. Ribeiro, R. Fonseca, and W. Meira. "A hierarchical and multiscale approach to analyze E-business workloads." Performance Evaluation 54, no. 1 (2003): 33–57. http://dx.doi.org/10.1016/s0166-5316(02)00228-6.

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RAHMAN, R., and A. HAQUE. "A PERIDYNAMICS FORMULATION BASED HIERARCHICAL MULTISCALE MODELING APPROACH BETWEEN CONTINUUM SCALE AND ATOMISTIC SCALE." International Journal of Computational Materials Science and Engineering 01, no. 03 (2012): 1250029. http://dx.doi.org/10.1142/s2047684112500297.

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In this paper, a multiscale modeling framework has been established between peridynamics and atomistic models. Peridynamics (PD) formulation is based on continuum theory implying nonlocal force based interactions. Peridynamics (PD) and molecular dynamics (MD) have similarities since both use nonlocal force based interaction. It means continuum points in PD and MD atoms are separated by finite distance and exert force upon each other. In this work PD based continuum model of epoxy polymer is defined by meshless Lagrangian particles. MD is coupled with PD based continuum model through a hierarch

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Ramírez-Torres, Ariel, Raimondo Penta, Reinaldo Rodríguez-Ramos, and Alfio Grillo. "Effective properties of hierarchical fiber-reinforced composites via a three-scale asymptotic homogenization approach." Mathematics and Mechanics of Solids 24, no. 11 (2019): 3554–74. http://dx.doi.org/10.1177/1081286519847687.

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The study of the properties of multiscale composites is of great interest in engineering and biology. Particularly, hierarchical composite structures can be found in nature and in engineering. During the past decades, the multiscale asymptotic homogenization technique has shown its potential in the description of such composites by taking advantage of their characteristics at the smaller scales, ciphered in the so-called effective coefficients. Here, we extend previous works by studying the in-plane and out-of-plane effective properties of hierarchical linear elastic solid composites via a thr

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LIU, YANFENG, YUETIAN LIU, LU SUN, and JIAN LIU. "MULTISCALE FRACTAL CHARACTERIZATION OF HIERARCHICAL HETEROGENEITY IN SANDSTONE RESERVOIRS." Fractals 24, no. 03 (2016): 1650032. http://dx.doi.org/10.1142/s0218348x16500328.

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Heterogeneities affecting reservoirs often develop at different scales. Previous studies have described these heterogeneities using different parameters depending on their size, and there is no one comprehensive method of reservoir evaluation that considers every scale. This paper introduces a multiscale fractal approach to quantify consistently the hierarchical heterogeneities of sandstone reservoirs. Materials taken from typical depositional pattern and aerial photography are used to represent three main types of sandstone reservoir: turbidite, braided, and meandering river system. Subsequen

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Gitman, I. M., H. Askes, and L. J. Sluys. "Multiscale Modelling of Softening Materials." Key Engineering Materials 348-349 (September 2007): 1–4. http://dx.doi.org/10.4028/www.scientific.net/kem.348-349.1.

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A hierarchical multiscale procedure for softening materials is proposed in this paper. A standard multiscale model has been analysed with respect to macro-level mesh dependence and meso-level cell size dependence. In order to eliminate spurious macro-level mesh dependence and meso-level cell size dependence a coupled-volume approach has been proposed. A discussion on the various interacting length scales in the model is included.

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Aregay, Mehreteab, Andrew B. Lawson, Christel Faes, Russell S. Kirby, Rachel Carroll, and Kevin Watjou. "Multiscale modeling approach for hierarchical aligned aggregated small area health data." SIGSPATIAL Special 8, no. 1 (2016): 12–19. http://dx.doi.org/10.1145/2961028.2961032.

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Dissertations / Theses on the topic "Hierarchical multiscale approach"

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Hamilton, Erin Kinzel. "Multiscale and meta-analytic approaches to inference in clinical healthcare data." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47600.

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The field of medicine is regularly faced with the challenge of utilizing information that is complicated or difficult to characterize. Physicians often must use their best judgment in reaching decisions or recommendations for treatment in the clinical setting. The goal of this thesis is to use innovative statistical tools in tackling three specific challenges of this nature from current healthcare applications. The first aim focuses on developing a novel approach to meta-analysis when combining binary data from multiple studies of paired design, particularly in cases of high heterogeneity bet

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Lin, Yu-chi, and 林佑輯. "The Study of Polycrystalline Nanofilms Using Hierarchical Multiscale Approach." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/70707685676179607298.

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碩士<br>國立中正大學<br>機械工程所<br>96<br>Polycrystalline thin films are widely employed in the electronic industry. When the film thickness reduces to few nanometers, the properties of the film usually cannot be realized by continuum mechanics. For polycrystalline thin film with multiscale characteristic lengths, i.e. grain size in micrometer and film thickness in the nanometer range, it is difficult to analyze the mechanical properties with solely molecular simulation or continuum method. Hence, the hierarchical multiscale approach which incorporates both molecular simulation and finite element analysi

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Park, Han-Young. "A Hierarchical Multiscale Approach to History Matching and Optimization for Reservoir Management in Mature Fields." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-08-11779.

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Reservoir management typically focuses on maximizing oil and gas recovery from a reservoir based on facts and information while minimizing capital and operating investments. Modern reservoir management uses history-matched simulation model to predict the range of recovery or to provide the economic assessment of different field development strategies. Geological models are becoming increasingly complex and more detailed with several hundred thousand to million cells, which include large sets of subsurface uncertainties. Current issues associated with history matching, therefore, involve extens

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Book chapters on the topic "Hierarchical multiscale approach"

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Barnes, Brian C., John K. Brennan, Edward F. C. Byrd, Sergei Izvekov, James P. Larentzos, and Betsy M. Rice. "Toward a Predictive Hierarchical Multiscale Modeling Approach for Energetic Materials." In Computational Approaches for Chemistry Under Extreme Conditions. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05600-1_10.

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Chaudhuri, Arindam. "Hierarchical Modified Regularized Least Squares Fuzzy Support Vector Regression through Multiscale Approach." In Advances in Computational Intelligence. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38679-4_39.

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Yildizdag, Mustafa Erden, Chuong Anthony Tran, Emilio Barchiesi, Mario Spagnuolo, Francesco dell’Isola, and François Hild. "A Multi-disciplinary Approach for Mechanical Metamaterial Synthesis: A Hierarchical Modular Multiscale Cellular Structure Paradigm." In Advanced Structured Materials. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30355-6_20.

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Lefik, Marek J., Daniela P. Boso, and Bernhard A. Schrefler. "MULTISCALE APPROACH FOR THE THERMOMECHANICAL ANALYSIS OF HIERARCHICAL STRUCTURES." In Computational and Experimental Methods in Structures. IMPERIAL COLLEGE PRESS, 2009. http://dx.doi.org/10.1142/9781848163089_0005.

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Mariani, Alessandro, Leon Engelbrecht, Andrea Le Donne, Francesca Mocci, Enrico Bodo, and Stefano Passerini. "Disclosing the hierarchical structure of ionic liquid mixtures by multiscale computational methods." In Theoretical and Computational Approaches to Predicting Ionic Liquid Properties. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-820280-7.00014-0.

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Conference papers on the topic "Hierarchical multiscale approach"

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Yamashita, Hiroki, Guanchu Chen, Alexander Brauchler, Yeefeng Ruan, Paramsothy Jayakumar, and Hiroyuki Sugiyama. "Computer Implementation of Hierarchical FE-DE Multiscale Approach for Modeling Deformable Soil in Multibody Dynamics Simulation." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86110.

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In this paper, a hierarchical FE-DE multiscale soil model is implemented and validated for use in multibody dynamics simulation. In order to describe complex soil failure phenomena including strain localization, the finite-element (FE) model is utilized to predict macroscale soil deformation, while the microscale constitutive behavior is modeled by representative volume elements (RVEs) using the discrete-element (DE) method. Brick elements integrated in the general multibody dynamics algorithm are used for developing the macroscale model. An open-source DE code LIGGGHTS is integrated in this s

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Gorguluarslan, Recep M., and Seung-Kyum Choi. "A Validation Approach for the Multiscale Modeling of Additively Manufactured Lattice Structures." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60169.

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A validation approach is proposed to ensure that the computational models corresponding to each scale level in a hierarchical multiscale modeling process can produce accurate simulations in the material characterizations at multiple levels. In the validation approach, the stochastic upscaling method is utilized for the homogenization of the geometry and material properties of material structure at each scale level of interest. The experimental data is utilized for the validation of the predictions made by the multiscale models with homogenized properties at each scale level. For the quantitati

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Lu, Qinghua, and Xianmin Zhang. "A Robust Multiscale Algorithm for Motion Measurement With High Accuracy." In 2007 First International Conference on Integration and Commercialization of Micro and Nanosystems. ASMEDC, 2007. http://dx.doi.org/10.1115/mnc2007-21197.

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The computer micro-vision technique plays a vital role in many existing methods of motion measurement in precision engineering, which its measurement accuracy and speed perform very well. Gradient-based techniques represent a very popular class of approaches to measuring motions. A robust multiscale algorithm of hierarchical estimation for gradient-based motion estimation is proposed in this paper using a combination of robust statistical method and multiscale technique. In such a multiscale approach of hierarchical estimation, motion at each level of the pyramid is estimated using different g

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Hussein, Mahmoud I., Gregory M. Hulbert, and Richard A. Scott. "Hierarchical Design of Phononic Materials and Structures." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81325.

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Within periodically heterogeneous materials and structures, wave scattering and dispersion occur across constituent material interfaces leading to a banded frequency response. A novel multiscale dispersive design methodology is presented by which periodic unit cells are designed for desired frequency band structures, and are used as building blocks for forming fully or partially periodic structures, typically at larger length scales. Structures resulting from this hierarchical design approach are tailored to desired dynamical characteristics without the necessity for altering the overall geome

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Kang, SukSang, Eric Bhark, Akhil Datta-Gupta, JangHak Kim, and IlSik Jang. "A Hierarchical Model Calibration Approach with Multiscale Spectral-Domain Parameterization: Application to a Structurally Complex Fractured Reservoir." In SPE Improved Oil Recovery Symposium. Society of Petroleum Engineers, 2014. http://dx.doi.org/10.2118/169061-ms.

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Matthews, Jordan, Timothy Klatt, Carolyn C. Seepersad, Michael Haberman, and David Shahan. "Hierarchical Design of Composite Materials With Negative Stiffness Inclusions Using a Bayesian Network Classifier." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13128.

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Recent research in the field of composite materials has shown that it is theoretically possible to produce composite materials with macroscopic mechanical stiffness and loss properties that surpass those of conventional composites. This research explores the possibility of designing and fabricating these composite materials by embedding small volume fractions of negative stiffness inclusions in a continuous host material. Achieving high stiffness and loss from these materials by design, however, is a nontrivial task. This paper presents a hierarchical multiscale material model for these materi

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Matthews, Jordan, Timothy Klatt, Carolyn C. Seepersad, Michael Haberman, and David Shahan. "Bayesian Network Classifiers and Design Flexibility Metrics for Set-Based, Multiscale Design With Materials Design Applications." In 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/detc2014-34436.

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A set-based approach is presented for solving multi-scale or multi-level design problems. The approach incorporates Bayesian network classifiers (BNC) for mapping design spaces at each level and flexibility metrics for intelligently narrowing the design space as the design process progresses. The approach is applied to a hierarchical composite materials design problem, specifically, the design of composite materials with macroscopic mechanical stiffness and loss properties surpassing those of conventional composites. This macroscopic performance is achieved by embedding small volume fractions

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Hussein, Mahmoud I., Massimo Ruzzene, Michael J. Leamy, Jason J. Durrie, and Bruce L. Davis. "NEMS Components Design Using Intentionally Defected Dispersive Building Blocks." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68246.

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We propose a hierarchical approach for the design of NEMS components with favorable dynamical characteristics. The approach consists of two steps: (i) design of several defect-engineered crystalline materials through intentional introduction of uniformly distributed defects, and in doing so altering precisely the frequency band structure of these materials, and (ii) allocation of patches of these designed materials to various regions in the component. Through this multiscale dispersive design approach, NEMS components can be designed to act as filters forbidding the transmission of vibrations

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Derome, Dominique, Alessandra Patera, Ahmad Rafsanjani, Saeed Abbasion, and Jan Carmeliet. "The Role of Water in the Hygro-Thermo-Mechanical Behavior of Wood." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65101.

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Wood, due to its biological origin, has the capacity to interact with water. Sorption/desorption of moisture is accompanied with swelling/shrinkage and softening/hardening of its stiffness. The correct prediction of the behavior of wood components undergoing environmental loading or industrial process requires that the hygric, thermal and mechanical (HTM) behavior of wood are considered in a coupled manner. In addition, we propose a comprehensive framework using a fully coupled poromechanical approach, where its multiscale implementation provides the capacity to take into account, directly, th

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Bastwros, Mina, and Gap-Yong Kim. "Fabrication of Custom Pattern Reinforced AZ31 Multilayer Composite Using Ultrasonic Spray Deposition." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8605.

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Mimicking the unique hierarchical, multiscale structures of natural biological materials is a promising approach to create novel materials with outstanding properties. One of the challenges, however, is the lack of scalable fabrication methods capable of making such complex structures. In this study, a multilayer nanocomposite has been synthesized by incorporating an ultrasonic spray deposition technique. The spray deposition system was used to deposit nanoparticles on substrate foils, which were consolidated to synthesize the multilayer composite. A patterned mask was used to create micro-pat

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Reports on the topic "Hierarchical multiscale approach"

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Emery, John M., Peter Coffin, Brian A. Robbins, et al. Developing a novel hierarchical approach for multiscale structural reliability predictions for ultra-high consequence applications. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1395649.

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