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Статті в журналах з теми "Domestic engineering Simulation methods"
Huber, David, Viktoria Illyés, Veronika Turewicz, Gregor Götzl, Andreas Hammer, and Karl Ponweiser. "Novel District Heating Systems: Methods and Simulation Results." Energies 14, no. 15 (July 23, 2021): 4450. http://dx.doi.org/10.3390/en14154450.
Повний текст джерелаChen, Zhi Cheng, Lu Yao, and Jian Jun Yang. "A Research Review of Project Risk Assessment Methods." Applied Mechanics and Materials 496-500 (January 2014): 2857–62. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2857.
Повний текст джерелаZharov, M. V. "Research of prospects of application of software environments of simulation modeling in the development and optimization of mechanical engineering production." Вестник Пермского университета. Математика. Механика. Информатика, no. 3(54) (2021): 58–67. http://dx.doi.org/10.17072/1993-0550-2021-3-58-67.
Повний текст джерелаAydin, Nesli, Emrah Bektas, and Suna Ozden Celik. "ANALYSIS OF MICROFIBRES RELEASED FROM DOMESTIC LAUNDRY WITH EXPERIMENTAL METHODS AND SIMULATION MODELS." Environmental Engineering and Management Journal 21, no. 9 (2022): 1451–60. http://dx.doi.org/10.30638/eemj.2022.128.
Повний текст джерелаAhn, Yonghan, Hanbyeol Jang, and Junghyon Mun. "Comparison of Building Simulation Methods for Modeling Apartment Balconies." Energies 14, no. 13 (July 1, 2021): 3955. http://dx.doi.org/10.3390/en14133955.
Повний текст джерелаCarretero, C., O. Lucia, J. Acero, R. Alonso, and J. M. Burdio. "Frequency-dependent modelling of domestic induction heating systems using numerical methods for accurate time-domain simulation." IET Power Electronics 5, no. 8 (2012): 1291. http://dx.doi.org/10.1049/iet-pel.2012.0113.
Повний текст джерелаKang, Seokho, Junhee Kim, Yeongsu Kim, Yushin Ha, and Seungmin Woo. "RETRACTED ARTICLE: Simulation Study of Dynamic Characteristics of Hot Pepper Harvester." Journal of Biosystems Engineering 45, no. 4 (December 2020): 333–40. http://dx.doi.org/10.1007/s42853-020-00074-7.
Повний текст джерелаYang, Jian Jiang, Rui Wang, and Bo Zhou. "A Review on Numerical Simulation of Pile Caps in Large-Scale Structures." Applied Mechanics and Materials 94-96 (September 2011): 131–35. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.131.
Повний текст джерелаLi, Kebai, and Zhilei Ding. "Dynamic Modeling and Simulation of Urban Domestic Water Supply Inputs Based on VES Production Function." Mathematics 10, no. 1 (December 27, 2021): 89. http://dx.doi.org/10.3390/math10010089.
Повний текст джерелаGao, Fei, Qiong Wu, Jiang Ben Min, and Mei Ting Jiang. "Develop of Downhole Simulation Tests Device near the Pump Suction for Corrosion." Advanced Materials Research 807-809 (September 2013): 2514–18. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.2514.
Повний текст джерелаДисертації з теми "Domestic engineering Simulation methods"
Yu, Huan. "New Statistical Methods for Simulation Output Analysis." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4931.
Повний текст джерелаFiore, Andrew M. (Andrew Michael). "Fast simulation methods for soft matter hydrodynamics." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122848.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references.
This thesis describes the systematic development of methods to perform large scale dynamic simulations of hydrodynamically interacting colloidal particles undergoing Brownian motion. Approximations to the hydrodynamic interactions between particles are built from the periodic fundamental solution for flow at zero Reynolds number and are methodically improved by introducing the multipole expansion and constraints on particle dynamics. Ewald sum splitting, which decomposes the sum of slowly decaying interactions into two rapidly decaying sums evaluated indepently in real space and Fourier space, is used to accelerate the calculation and serves as the basis for a new technique to sample the Brownian displacements that is orders of magnitude faster than prior approaches. The simulation method is first developed using the ubiquitous Rotne-Prager approximation for the hydrodynamic interactions.
Extension of the Rotne-Prager approximation is achieved via the multipole expansion, which introduces the notion of induced force moments whose value is determined from the solution of constraint problems (for example, rigid particles cannot deform in flow), and methods for handling these multipole-based constraints are illustrated. The multipole expansion converges slowly when particles are nearly touching, a problem which is functionally solved for dynamic simulations by including divergent lubrication interactions, in the style of Stokesian Dynamics. The lubrication interactions effectively introduce an additional constraint on the relative motion of closely separated particle pairs. This constraint is combined with the multipole constraints by developing a general method to handle nearly arbitrary dynamic constraints using saddle point matrices. Finally, the methods developed herein are applied to study sedimentation in suspensions of attractive colloidal particles.
The simulation results are used to develop a predictive model for the hindered/promoted settling function that describes the mean sedimentation rate as a function of particle concentration and attraction strength.
"The research in this thesis was supported by the MIT Energy Initiative Shell Seed Fund and NSF Career Award CBET-1 554398"
by Andrew M. Fiore.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Chemical Engineering
Geller, Benjamin M. "Methods for advancing automobile research with energy-use simulation." Thesis, Colorado State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3635614.
Повний текст джерелаPersonal transportation has a large and increasing impact on people, society, and the environment globally. Computational energy-use simulation is becoming a key tool for automotive research and development in designing efficient, sustainable, and consumer acceptable personal transportation systems. Historically, research in personal transportation system design has not been held to the same standards as other scientific fields in that classical experimental design concepts have not been followed in practice. Instead, transportation researchers have built their analyses around available automotive simulation tools, but conventional automotive simulation tools are not well-equipped to answer system-level questions regarding transportation system design, environmental impacts, and policy analysis.
The proposed work in this dissertation aims to provide a means for applying more relevant simulation and analysis tools to these system-level research questions. First, I describe the objectives and requirements of vehicle energy-use simulation and design research, and the tools that have been used to execute this research. Next this dissertation develops a toolset for constructing system-level design studies with structured investigations and defensible hypothesis testing. The roles of experimental design, optimization, concept of operations, decision support, and uncertainty are defined for the application of automotive energy simulation and system design studies.
The results of this work are a suite of computational design and analysis tools that can serve to hold automotive research to the same standard as other scientific fields while providing the tools necessary to complete defensible and objective design studies.
Lloyd, Jennifer A. "Numerical methods for Monte Carlo device simulation." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12766.
Повний текст джерелаIncludes bibliographical references (leaves 51-53).
by Jennifer Anne Lloyd.
M.S.
Adnan, Abid Muhammad. "Various methods of water marsh utilization for domestic sewage waste water treatment." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-20727.
Повний текст джерелаNaghiyev, Eldar. "Device-free localisation in the context of domestic energy saving control methods." Thesis, University of Nottingham, 2014. http://eprints.nottingham.ac.uk/14314/.
Повний текст джерелаPirgul, Khalid, та Jonathan Svensson. "Verification of Powertrain Simulation Models Using Machine Learning Methods". Thesis, Linköpings universitet, Fordonssystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166290.
Повний текст джерелаWatson, Harry Alexander James. "Robust simulation and optimization methods for natural gas liquefaction processes." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115702.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (pages 313-324).
Natural gas is one of the world's leading sources of fuel in terms of both global production and consumption. The abundance of reserves that may be developed at relatively low cost, paired with escalating societal and regulatory pressures to harness low carbon fuels, situates natural gas in a position of growing importance to the global energy landscape. However, the nonuniform distribution of readily-developable natural gas sources around the world necessitates the existence of an international gas market that can serve those regions without reasonable access to reserves. International transmission of natural gas via pipeline is generally cost-prohibitive beyond around two thousand miles, and so suppliers instead turn to the production of liquefied natural gas (LNG) to yield a tradable commodity. While the production of LNG is by no means a new technology, it has not occupied a dominant role in the gas trade to date. However, significant growth in LNG exports has been observed within the last few years, and this trend is expected to continue as major new liquefaction operations have and continue to become operational worldwide. Liquefaction of natural gas is an energy-intensive process requiring specialized cryogenic equipment, and is therefore expensive both in terms of operating and capital costs. However, optimization of liquefaction processes is greatly complicated by the inherently complex thermodynamic behavior of process streams that simultaneously change phase and exchange heat at closely-matched cryogenic temperatures. The determination of optimal conditions for a given process will also generally be nontransferable information between LNG plants, as both the specifics of design (e.g. heat exchanger size and configuration) and the operation (e.g. source gas composition) may have significantly variability between sites. Rigorous evaluation of process concepts for new production facilities is also challenging to perform, as economic objectives must be optimized in the presence of constraints involving equipment size and safety precautions even in the initial design phase. The absence of reliable and versatile software to perform such tasks was the impetus for this thesis project. To address these challenging problems, the aim of this thesis was to develop new models, methods and algorithms for robust liquefaction process simulation and optimization, and to synthesize these advances into reliable and versatile software. Recent advances in the sensitivity analysis of nondifferentiable functions provided an advantageous foundation for the development of physically-informed yet compact process models that could be embedded in established simulation and optimization algorithms with strong convergence properties. Within this framework, a nonsmooth model for the core unit operation in all industrially-relevant liquefaction processes, the multi-stream heat exchanger, was first formulated. The initial multistream heat exchanger model was then augmented to detect and handle internal phase transitions, and an extension of a classic vapor-liquid equilibrium model was proposed to account for the potential existence of solutions in single-phase regimes, all through the use of additional nonsmooth equations. While these initial advances enabled the simulation of liquefaction processes under the conditions of simple, idealized thermodynamic models, it became apparent that these methods would be unable to handle calculations involving nonideal thermophysical property models reliably. To this end, robust nonsmooth extensions of the celebrated inside-out algorithms were developed. These algorithms allow for challenging phase equilibrium calculations to be performed successfully even in the absence of knowledge about the phase regime of the solution, as is the case when model parameters are chosen by a simulation or optimization algorithm. However, this still was not enough to equip realistic liquefaction process models with a completely reliable thermodynamics package, and so new nonsmooth algorithms were designed for the reasonable extrapolation of density from an equation of state under conditions where a given phase does not exist. This procedure greatly enhanced the ability of the nonsmooth inside-out algorithms to converge to physical solutions for mixtures at very high temperature and pressure. These models and submodels were then integrated into a flowsheeting framework to perform realistic simulations of natural gas liquefaction processes robustly, efficiently and with extremely high accuracy. A reliable optimization strategy using an interior-point method and the nonsmooth process models was then developed for complex problem formulations that rigorously minimize thermodynamic irreversibilities. This approach significantly outperforms other strategies proposed in the literature or implemented in commercial software in terms of the ease of initialization, convergence rate and quality of solutions found. The performance observed and results obtained suggest that modeling and optimizing such processes using nondifferentiable models and appropriate sensitivity analysis techniques is a promising new approach to these challenging problems. Indeed, while liquefaction processes motivated this thesis, the majority of the methods described herein are applicable in general to processes with complex thermodynamic or heat transfer considerations embedded. It is conceivable that these models and algorithms could therefore inform a new, robust generation of process simulation and optimization software.
by Harry Alexander James Watson.
Ph. D.
Baumgartner, Claus Ernst 1961. "Simulation methods for multiconductor transmission lines in electronic applications." Diss., The University of Arizona, 1992. http://hdl.handle.net/10150/284323.
Повний текст джерелаWei, Shuai. "Protein-Surface Interactions with Coarse-Grain Simulation Methods." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3943.
Повний текст джерелаКниги з теми "Domestic engineering Simulation methods"
M, Cerrolaza, Gajardo C, and Brebbia C. A, eds. Numerical methods in engineering simulation. Southampton: Computational Mechanics Publication, 1996.
Знайти повний текст джерелаJoppich, Wolfgang. Multigrid Methods for Process Simulation. Vienna: Springer Vienna, 1993.
Знайти повний текст джерелаB, Jones Robert. Symbolic Simulation Methods for Industrial Formal Verification. Boston, MA: Springer US, 2002.
Знайти повний текст джерелаInternational Conference on Simulation in Manufacturing (4th 1988 London). Simulation in manufacturing. Bedford: IFS, 1988.
Знайти повний текст джерелаHeermann, Dieter W. Computer Simulation Methods in Theoretical Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986.
Знайти повний текст джерелаClymer, John R. Simulated-based engineering of complex. 2nd ed. Hoboken, NJ: J. Wiley, 2009.
Знайти повний текст джерелаV, Duggan Terance, Wessex Institute of Technology, and Dartec Limited, eds. Computational methods and testing for engineering integrity. Southampton: Computational Mechanics Publications, 1996.
Знайти повний текст джерелаFaulin, Javier. Simulation Methods for Reliability and Availability of Complex Systems. London: Springer-Verlag London, 2010.
Знайти повний текст джерелаAnanthasuresh, G. K. Optimal synthesis methods for MEMS. Boston, MA: Kluwer Academic Publishers, 2004.
Знайти повний текст джерелаMethods of computer modeling in engineering & the sciences. Forsyth, GA: Tech Science Press, 2005.
Знайти повний текст джерелаЧастини книг з теми "Domestic engineering Simulation methods"
Müller, Mark, and Dietmar Pfahl. "Simulation Methods." In Guide to Advanced Empirical Software Engineering, 117–52. London: Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-044-5_5.
Повний текст джерелаCakmakci, Melih, Gullu Kiziltas Sendur, and Umut Durak. "Simulation-Based Engineering." In Simulation Foundations, Methods and Applications, 39–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61264-5_3.
Повний текст джерелаPutcha, Chandrasekhar, Subhrajit Dutta, and Sanjay K. Gupta. "Probabilistic Simulation Methods." In Reliability and Risk Analysis in Engineering and Medicine, 67–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80454-1_5.
Повний текст джерелаGoga, Nicolae, and Judi Romijn. "Guiding Spin Simulation." In Formal Methods and Software Engineering, 176–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30482-1_20.
Повний текст джерелаTolk, Andreas, Christopher G. Glazner, and Robert Pitsko. "Simulation-Based Systems Engineering." In Simulation Foundations, Methods and Applications, 75–102. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61264-5_4.
Повний текст джерелаTanir, Oryal. "Simulation-Based Software Engineering." In Simulation Foundations, Methods and Applications, 151–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61264-5_7.
Повний текст джерелаLlana, Luis, and Rafael Martínez-Torres. "IOCO as a Simulation." In Software Engineering and Formal Methods, 125–34. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05032-4_10.
Повний текст джерелаLi, Xinyu, and Liang Gao. "IPPS Simulation Prototype System." In Engineering Applications of Computational Methods, 455–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-55305-3_21.
Повний текст джерелаGhasem, Nayef. "Simulation of Entire Processes." In Computer Methods in Chemical Engineering, 417–26. 2nd ed. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003167365-9.
Повний текст джерелаTopçu, Okan, Umut Durak, Halit Oğuztüzün, and Levent Yilmaz. "Model Driven Engineering." In Simulation Foundations, Methods and Applications, 23–38. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-03050-0_2.
Повний текст джерелаТези доповідей конференцій з теми "Domestic engineering Simulation methods"
Zhang, Chaolei, and Yongsheng Lian. "Numerical Investigation of Heat Transfer and Flow Field in Domestic Refrigerators." In ASME 2013 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fedsm2013-16039.
Повний текст джерелаChumacero-Polanco, Erik A., and James Yang. "A Review on Human Motion Prediction in Sit to Stand and Lifting Tasks." 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/detc2016-59891.
Повний текст джерелаRahmadhanty, Shaneza Fatma, Subrahmanya T. M., Wei-Song Hung, and Po Ting Lin. "Optimization of Self-Heated Vacuum Membrane Distillation Using Response Surface Methodology." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-89491.
Повний текст джерелаAo, Ying, Changzheng Xu, Guo He, Zhanpeng Lv, Ping Zhu, Maolong Zhang, and Jiasheng Zou. "Research on Crack Resistance of Nuclear Grade Nickel-Based Alloy Welding Materials." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-89321.
Повний текст джерелаOlszewski, Pawel. "The Possibility of Using the Ground as a Seasonal Heat Storage: The Numerical Study." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56185.
Повний текст джерелаGrubliauskas, Raimondas, and ߩlvinas Venckus. "Simulation of the noise of domestic appliances using the CadnaA programme." In The 9th International Conference "Environmental Engineering 2014". Vilnius, Lithuania: Vilnius Gediminas Technical University Press “Technika” 2014, 2014. http://dx.doi.org/10.3846/enviro.2014.023.
Повний текст джерелаShao Xiao, Hai Feng, and Guo Qiang. "The review of methods on the domestic calculation of Logistics Parks' scale." In 2010 2nd International Conference on Information Science and Engineering (ICISE). IEEE, 2010. http://dx.doi.org/10.1109/icise.2010.5689079.
Повний текст джерелаSemwal, Sunil, Manoj Badoni, and Nishant Saxena. "Smart Meters for Domestic Consumers: Innovative Methods for Identifying Appliances using NIALM." In 2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE). IEEE, 2019. http://dx.doi.org/10.1109/witconece48374.2019.9092936.
Повний текст джерелаde Carvalho, Raquel Miguez, Mavd de Paula Ribeiro Teles, F. A. M. Lino, and Kamal Abdel Radi Ismail. "Optical and thermal analysis of all-glass flat plate solar collector for domestic applications." In XXXVIII Iberian-Latin American Congress on Computational Methods in Engineering. Florianopolis, Brazil: ABMEC Brazilian Association of Computational Methods in Engineering, 2017. http://dx.doi.org/10.20906/cps/cilamce2017-0632.
Повний текст джерелаMak, Joseph. "Expected Useful Life of Building Structures of Post – 1992 Hong Kong Housing Authority Rental Domestic Blocks." In Modern Methods and Advances in Structural Engineering and Construction. Singapore: Research Publishing Services, 2011. http://dx.doi.org/10.3850/978-981-08-7920-4_s1-c11-cd.
Повний текст джерелаЗвіти організацій з теми "Domestic engineering Simulation methods"
Markova, Oksana, Serhiy Semerikov та Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, травень 2018. http://dx.doi.org/10.31812/0564/2250.
Повний текст джерелаModlo, Yevhenii O., Serhiy O. Semerikov, Pavlo P. Nechypurenko, Stanislav L. Bondarevskyi, Olena M. Bondarevska, and Stanislav T. Tolmachev. The use of mobile Internet devices in the formation of ICT component of bachelors in electromechanics competency in modeling of technical objects. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3264.
Повний текст джерелаBidier, S., U. Khristenko, R. Tosi, R. Rossi, and C. Soriano. D7.3 Report on UQ results and overall user experience. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.9.002.
Повний текст джерелаBidier, S., U. Khristenko, A. Kodakkal, C. Soriano, and R. Rossi. D7.4 Final report on Stochastic Optimization results. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.02.
Повний текст джерелаDiahyleva, Olena S., Igor V. Gritsuk, Olena Y. Kononova, and Alona Y. Yurzhenko. Computerized adaptive testing in educational electronic environment of maritime higher education institutions. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4448.
Повний текст джерелаMalej, Matt, and Fengyan Shi. Suppressing the pressure-source instability in modeling deep-draft vessels with low under-keel clearance in FUNWAVE-TVD. Engineer Research and Development Center (U.S.), May 2021. http://dx.doi.org/10.21079/11681/40639.
Повний текст джерела