Academic literature on the topic 'Micromodeling'

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Journal articles on the topic "Micromodeling"

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Li, Tun, and Sez Atamturktur. "Fidelity and Robustness of Detailed Micromodeling, Simplified Micromodeling, and Macromodeling Techniques for a Masonry Dome." Journal of Performance of Constructed Facilities 28, no. 3 (June 2014): 480–90. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0000440.

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Deseure, J., Y. Bultel, L. C. R. Schneider, L. Dessemond, and C. Martin. "Micromodeling of Functionally Graded SOFC Cathodes." Journal of The Electrochemical Society 154, no. 10 (2007): B1012. http://dx.doi.org/10.1149/1.2766651.

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Manchuk, John G., David L. Garner, Clayton V. Deutsch, and Olena Babak. "Advances in micromodeling using resistivity borehole images." Bulletin of Canadian Petroleum Geology 63, no. 4 (December 2015): 333–44. http://dx.doi.org/10.2113/gscpgbull.63.4.333.

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Yu, Ya Jun, Xiao Geng Tian, and Tian Jian Lu. "On fractional order generalized thermoelasticity with micromodeling." Acta Mechanica 224, no. 12 (July 6, 2013): 2911–27. http://dx.doi.org/10.1007/s00707-013-0913-3.

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Burbelko, Andriy, Jacek Początek, Daniel Gurgul, and Marek Wróbel. "Micromodeling of the Diffusion-Controlled Equiaxed Peritectic Solidification." steel research international 85, no. 6 (January 30, 2014): 1010–17. http://dx.doi.org/10.1002/srin.201300174.

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Asteris, P. G., D. M. Cotsovos, C. Z. Chrysostomou, A. Mohebkhah, and G. K. Al-Chaar. "Mathematical micromodeling of infilled frames: State of the art." Engineering Structures 56 (November 2013): 1905–21. http://dx.doi.org/10.1016/j.engstruct.2013.08.010.

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Bonfoh, Napo, and Paul Lipinski. "Ductile damage micromodeling by particles’ debonding in metal matrix composites." International Journal of Mechanical Sciences 49, no. 2 (February 2007): 151–60. http://dx.doi.org/10.1016/j.ijmecsci.2006.08.015.

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Dou, Yuhang, and Ke-Li Wu. "A Passive PEEC-Based Micromodeling Circuit for High-Speed Interconnection Problems." IEEE Transactions on Microwave Theory and Techniques 66, no. 3 (March 2018): 1201–14. http://dx.doi.org/10.1109/tmtt.2017.2779484.

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Dou, Yuhang, and Ke-Li Wu. "A Passive Full-Wave Micromodeling Circuit for Packaging and Interconnection Problems." IEEE Transactions on Microwave Theory and Techniques 67, no. 6 (June 2019): 2197–207. http://dx.doi.org/10.1109/tmtt.2019.2909023.

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Chatterjee, Rabik Ar, and Jehoshua Eliashberg. "The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach." Management Science 36, no. 9 (September 1990): 1057–79. http://dx.doi.org/10.1287/mnsc.36.9.1057.

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Dissertations / Theses on the topic "Micromodeling"

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Husain, Me'ad Ibrahim. "The development of micromodelling techniques for investigating multiphase flow phenomena under reservoir conditions." Thesis, Heriot-Watt University, 1985. http://hdl.handle.net/10399/818.

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Song, Inseong. "Empirical analysis of dynamic consumer choice behavior : micromodeling the new product adoption process with heterogeneous and forward-looking consumers /." 2002. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3048426.

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Pagani, Claudio. "Modeling of Masonry Structures at Multiple Scales." Doctoral thesis, 2021. http://hdl.handle.net/2158/1248578.

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Masonry represents the material used in the great majority of the world-building heritage structures. Reliable tools for analysis of masonry structures are needed not only for seismic vulnerability assessment but also to properly design interventions to restore and strengthen existing buildings, which deserve to be preserved. Masonry is a nonlinear, heterogeneous, and anisotropic material whose properties strongly depend on its microstructure, typically composed of two phases, blocks and mortar, and on the way it is assembled. To simulate the mechanical behavior of masonry structures, numerous models have been developed, characterized by different detailing levels. For large structures, the need for computational efficiency leads to simplified models characterized by the subdivision of masonry walls in macro-elements. A notable example of this group of models is the equivalent-frame method, which consists of identifying the masonry wall with an ideal frame, where panels are modeled as beams characterized by proper mechanical behavior. The detailing level can be increased by considering each macro-element as a homogenized continuum, assuming that, at the scale of representation, masonry can be treated as a continuum having mechanical properties that reproduce the overall response of a certain portion of the heterogeneous microstructure. However, the formulation of a suitable constitutive law is not an easy task. It should phenomenologically reproduce the material mechanics, including tension cracking, shear sliding, compressive crushing, and many other aspects. Moreover, this approach requires a cumbersome identification of mechanical parameters that are not always easy to determine from basic experimental tests on the material. To consider the role of each constituent and the effects of their interactions, a microscale model can be set up, where blocks, mortar joints, and mortar-block interfaces are represented explicitly. In this work, masonry structures are studied at several detailing levels. An issue affecting equivalent-frame models, namely the presence of irregularity in the wall opening layout, is addressed by comparing equivalent-frame results with finite-element ones, which are assumed to better represent the actual behavior of irregular walls. A parametric analysis on masonry piers, modeled as a homogenized continuum, is carried out, aimed to assess the influence of the height-to-width ratio and the vertical compression load on the nonlinear static behavior. The focus is then shifted to finer scales. The localization analysis of an orthotropic macro-scale model in the framework of multi-surface plasticity is presented, deriving analytical localization conditions corroborated by finite element simulations. Finally, a microscale model for regular masonry is developed to analyze the localization properties of the representative volume element, also by investigating the role of its size and periodicity directions.
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Book chapters on the topic "Micromodeling"

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Carroll, M. M. "Micromodeling of Void Growth and Collapse." In Homogenization and Effective Moduli of Materials and Media, 78–96. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4613-8646-9_4.

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Aubin, Véronique, and Pierre Evrard. "Macro- and Micromodeling of the Monotonic and Cyclic Mechanical Behavior of a Forged DSS." In Duplex Stainless Steels, 303–38. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557990.ch9.

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Woźniak, C. Z., and M. Woźniak. "On the Micromodelling of Dynamic Response for Thermoelastic Periodic Composites." In IUTAM Symposium on Microstructure-Property Interactions in Composite Materials, 387–95. Dordrecht: Springer Netherlands, 1995. http://dx.doi.org/10.1007/978-94-011-0059-5_32.

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Rekik, A., and F. Lebon. "Micromodeling." In Numerical Modeling of Masonry and Historical Structures, 295–349. Elsevier, 2019. http://dx.doi.org/10.1016/b978-0-08-102439-3.00009-9.

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"Micromodeling." In The Future of Political Science, edited by D. Lasswell Harold, 123–46. Routledge, 2017. http://dx.doi.org/10.4324/9781315132167-7.

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BLATTBERG, ROBERT C., and ABEL P. JEULAND. "A MICROMODELING APPROACH TO INVESTIGATE THE ADVERTISING-SALES RELATIONSHIP." In Perspectives on Promotion and Database Marketing, 265–82. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814287067_0017.

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White, C. S. "Micromodeling of a Particle-Hardened Alloy Using the Finite Element Method." In Advances in Plasticity 1989, 591–94. Elsevier, 1989. http://dx.doi.org/10.1016/b978-0-08-040182-9.50145-4.

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Chadi, Nor Elhouda, Slimane Merouani, Oualid Hamdaoui, and Mohammed Bouhelassa. "Synergy of combining megahertz ultrasound frequency and heat-activated persulfate for wastewater decontamination: micromodeling of acoustic cavitation and its role in the sono-hybrid process." In Water Engineering Modeling and Mathematic Tools, 405–27. Elsevier, 2021. http://dx.doi.org/10.1016/b978-0-12-820644-7.00018-9.

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Bowen, P., D. C. Cardona, and A. R. Ibbotson. "Micromodelling of crack growth in fibre reinforced composites." In High Temperature Aluminides and Intermetallics, 628–34. Elsevier, 1992. http://dx.doi.org/10.1016/b978-1-85166-822-9.50099-6.

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Lourenço, Paulo B. "RECENT ADVANCES IN MASONRY MODELLING: MICROMODELLING AND HOMOGENISATION." In Computational and Experimental Methods in Structures, 251–94. IMPERIAL COLLEGE PRESS, 2009. http://dx.doi.org/10.1142/9781848163089_0006.

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Conference papers on the topic "Micromodeling"

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Lin, Ning, and Venkata Dinavahi. "Exact Nonlinear Micromodeling for Fine-Grained Parallel EMT Simulation of MTDC Grid Interaction With Wind Farm." In 2020 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2020. http://dx.doi.org/10.1109/pesgm41954.2020.9281599.

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White, Charles S., and Radwan M. Hazime. "Internal Variable Modeling of the Creep of Monolithic Ceramics." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0140.

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Abstract Ceramics are assuming an important role for use in power generation. One of the road blocks is a complete characterization of the deformation and life of advanced ceramics at elevated temperatures. Substantial high temperature creep testing has been conducted in recent years. Most commonly, Norton’s law for deformation and the Monkman-Grant relationship for failure have been used to correlate test data. In this paper, internal variable modeling is discussed as an alternative to Norton’s Law/Monkman-Grant. Through the use of internal variables, micromodeling of the important mechanisms can be extended to the macroscopic behavior. Also, the effects of simultaneous or competing phenomena can be considered. An example is the growth of lenticular cavities on the two grain boundaries of certain silicon nitrides while the grain boundaries are crystallizing. The results of a preliminary internal variable model for HIPed silicon nitride is presented and compared with tensile creep experiments.
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Kim, Hee Sun, Choon Hwai Yap, Lakshmi Prasad Dasi, Ajit P. Yoganathan, and Rami Haj-Ali. "Multiscale Structural Analysis of Porcine Aortic Heart Valves Using a Collagen Fiber Network (CFN) Micromodel." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192800.

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Current Aortic Valve (AV) computational structural models do not explicitly account for the layered leaflet microstructure, i.e. collagen fibers and elastin matrix. Homogenized anisotropic hyperelastic material models are commonly used for the effective mechanical behavior of the leaflets. The later are difficult to calibrate and often unstable in structural simulations. In this study, we introduce a new heterogeneous material micromodeling approach for the porcine leaflet tissue that explicitly recognizes the collagen fiber network (CFN) distribution and integrate it with the elastin matrix into the global structural analysis of the AV system. The proposed multiscale (heterogeneous) material and structural (MMS) models are verified in their ability to predict the overall AV structural response from in-vitro pulsatile and static loops. Sophisticated imagery measurements are used to examine the kinematics and deformations of the leaflets. The proposed MMS framework is computationally effective in predicting the overall mechanical behavior of the AV structure.
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Yaser*, Muhammad, Kalyanbrata Datta, Luis Ortegon, and Muhammad Ibrahim. "Micromodelling in a Complex Shaly Sand Reservoir: A Case Study in Greater Burgan Field, Kuwait." In International Conference and Exhibition, Melbourne, Australia 13-16 September 2015. Society of Exploration Geophysicists and American Association of Petroleum Geologists, 2015. http://dx.doi.org/10.1190/ice2015-2211033.

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