Relevant bibliographies by topics / Forward modeling

Academic literature on the topic 'Forward modeling'

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Published: 4 June 2021
Last updated: 13 July 2024

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Journal articles on the topic "Forward modeling"

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Acar, Z. Akalin, and S. Makeig. "Neuroelectromagnetic Forward Modeling Toolbox." NeuroImage 47 (July 2009): S74. http://dx.doi.org/10.1016/s1053-8119(09)70473-2.

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Karna, Nishu, Antonia Savcheva, Kévin Dalmasse, Sarah Gibson, Svetlin Tassev, Giuliana de Toma, and Edward E. DeLuca. "Forward Modeling of a Pseudostreamer." Astrophysical Journal 883, no. 1 (September 23, 2019): 74. http://dx.doi.org/10.3847/1538-4357/ab3c50.

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Aiouaz, T., H. Peter, and R. Keppens. "Forward modeling of coronal funnels." Astronomy & Astrophysics 442, no. 3 (October 14, 2005): L35—L38. http://dx.doi.org/10.1051/0004-6361:200500183.

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Acar, Zeynep Akalin, and Scott Makeig. "Neuroelectromagnetic Forward Head Modeling Toolbox." Journal of Neuroscience Methods 190, no. 2 (July 2010): 258–70. http://dx.doi.org/10.1016/j.jneumeth.2010.04.031.

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CHEN, Lin, Hai-Bin SONG, Chong-Zhi DONG, Jiong ZHANG, and Chang-Yu ZHAO. "2D Strain Rate Forward Modeling." Chinese Journal of Geophysics 51, no. 6 (November 2008): 1194–202. http://dx.doi.org/10.1002/cjg2.1316.

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BERMIN, HANS-PETER, and GARETH WILLIAMS. "ON CASH SETTLED IRR-SWAPTIONS AND MARKOV FUNCTIONAL MODELING." International Journal of Theoretical and Applied Finance 20, no. 02 (March 2017): 1750009. http://dx.doi.org/10.1142/s0219024917500091.

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In this paper, we show how to consistently price cash settled Internal Rate of Return (IRR)-swaptions and derivatives on these contracts. There are several results worth highlighting. First, if we know at what fixed coupon an IRR-swap values to par, we can compute the price of any IRR-swaption in a way consistent with absence of arbitrage. We show that this fixed coupon, denoted the IRR-forward, carries an additional convexity adjustment. The size of the adjustment depends mainly on the shape of the volatility surface but also on the skew of the forward. The largest convexity adjustments are seen for IRR-forwards referencing long tenors and long expiries. Second, we show that any Markov functional technique, relating a given term-structure model to the market observed IRR-swaptions, should be carried out with respect to the corresponding forward measure. The modification of the forward swap rate is further shown to consistently value the fixed and the floating leg of the underlying IRR-swap correctly.
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He, Qiang. "Modeling and Control of Forward Converter." Applied Mechanics and Materials 130-134 (October 2011): 1986–89. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.1986.

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The average model of the forward converter is build with the state-space average method. The open-loop transfer function model is deduced in detail according to the average model of the forward converter, the controller is designed based frequency domain by the type III compensation network. And the stability of the control system has been improved. The modeling and simulation of system was implemented based Matlab. The results of simulation confirm that the controller is capable of reduced steady state error and improve controller's reliability during power supply disturbance and load disturbance．
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Bruderer, Claudio, Andrina Nicola, Adam Amara, Alexandre Refregier, Jörg Herbel, and Tomasz Kacprzak. "Cosmic shear calibration with forward modeling." Journal of Cosmology and Astroparticle Physics 2018, no. 08 (August 8, 2018): 007. http://dx.doi.org/10.1088/1475-7516/2018/08/007.

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Endignoux, L., I. Moretti, and F. Roure. "Forward modeling of the Southern Apennines." Tectonics 8, no. 5 (October 1989): 1095–104. http://dx.doi.org/10.1029/tc008i005p01095.

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Maxwell, Reed M., Alexis Navarre-Sitchler, and Matt Tonkin. "Forward: Modeling for Sustainability and Adaptation." Groundwater 56, no. 4 (June 13, 2018): 515–16. http://dx.doi.org/10.1111/gwat.12795.

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Dissertations / Theses on the topic "Forward modeling"

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Singh, Saransh. "Application of Forward Modeling to Materials Characterization." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1009.

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The four pillars of material science and engineering namely structure, processing, properties and performance form the so-called material paradigm. At the heart of the material paradigm is materials characterization, which is used to measure and identify the relationships. Materials Characterization typically reconstructing the conditions giving rise to a measurement, a classic inverse problem. The solutions of these inverse problems are under or over determined and not unique. The solutions of these inverse problems can be greatly improved if accurate forward models exist for these characterization experiments. In this thesis, we will be focusing of developing forward models for electron diffraction modalities. Specifically, four different forward models for electron diffraction, namely the Electron Backscatter Diffraction, Electron Channeling Patterns, Precession Electron Diffraction and Transmission kikuchi Diffraction modalities are presented. Further, these forward models are applied to important materials characterization problems, including diffraction pattern indexing using the dictionary approach and forward model based orientation refinement. Finally, a novel pole figure inversion algorithm using the cubochoric representation and model based iterative reconstruction is also presented.
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Tighe, Jan Elizabeth. "Modeling and analysis of cellular CDMA forward Channel /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA391598.

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Dissertation (M.S. in Applied Mathematics and Ph.D. in Electrical Engineering) Naval Postgraduate School, March 2001.
Dissertation supervisor(s): Ha, Tri T. "March 2001." Includes bibliographical references (p. 199-205). Also available in print.
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Tang, Hui. "Forward and Inverse Modeling of Tsunami Sediment Transport." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/77439.

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Tsunami is one of the most dangerous natural hazards in the coastal zone worldwide. Large tsunamis are relatively infrequent. Deposits are the only concrete evidence in the geological record with which we can determine both tsunami frequency and magnitude. Numerical modeling of sediment transport during a tsunami is important interdisciplinary research to estimate the frequency and magnitude of past events and quantitative prediction of future events. The goal of this dissertation is to develop robust, accurate, and computationally efficient models for sediment transport during a tsunami. There are two different modeling approaches (forward and inverse) to investigate sediment transport. A forward model consists of tsunami source, hydrodynamics, and sediment transport model. In this dissertation, we present one state-of-the-art forward model for Sediment TRansport In Coastal Hazard Events (STRICHE), which couples with GeoClaw and is referred to as GeoClaw-STRICHE. In an inverse model, deposit characteristics, such as grain-size distribution and thickness, are inputs to the model, and flow characteristics are outputs. We also depict one trial-and-error inverse model (TSUFLIND) and one data assimilation inverse model (TSUFLIND-EnKF) in this dissertation. All three models were validated and verified against several theoretical, experimental, and field cases.
Ph. D.
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Caudillo, Mata Luz Angélica. "Multiscale and upscaling methods for geophysical electromagnetic forward modeling." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/63343.

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Accurate and efficient simulation of electromagnetic responses in realistic geophysical settings is crucial to the exploration, imaging, and characterization of buried natural resources, such as mineral and hydrocarbon deposits. However, in practice, these simulations are computationally expensive. The geophysical settings consider highly heterogeneous media and features at multiple spatial scales that require a very large mesh to be accurately represented. This results in a system of equations to be solved that often exceeds the limits of average computers. Thus, the key is to reduce the problem size but retain the accuracy of the electromagnetic responses. Upscaling and multiscale techniques have been successfully applied to the problem of simulating fluid flow through heterogeneous porous media, where they are able to drastically reduce the size of the resulting fine-mesh system by casting it into a coarse-mesh system that is much cheaper to solve, while achieving a level of accuracy similar to that obtained with conventional discretization schemes. Recognizing the success that such techniques have had in fluid flow applications, this dissertation extends their use for application to electromagnetic modeling. In this dissertation, two new parallel simulation methods for the quasi-static Maxwell’s equations in the frequency domain are proposed: an upscaling framework for the electrical conductivity, and a multiscale finite volume with oversampling method. Both methods are combined with an adaptive mesh refinement technique (OcTree) to boost their computational performance. The performance of these methods is demonstrated by using field-inspired and synthetic examples that include a large electrical conductivity contrast. This investigation shows that both proposed methods are feasible to tackle geophysical electromagnetic problems, where being able to reduce the size of the problem can be particularly advantageous when extended domains are considered or when the mesh must capture the spatial distribution of the media heterogeneity outside the region where the electromagnetic responses are measured. Furthermore, both methods are new contributions to the literature in the field of computational methods in geophysical electromagnetics. Finally, both methods increase the current predictive and analytic capabilities by making the simulation of electromagnetic responses in larger and more complex geophysical settings more feasible than currently is possible.
Science, Faculty of
Earth, Ocean and Atmospheric Sciences, Department of
Graduate
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Kumar, Sharam Manjo. "Optimization of Laser Induced Forward Transfer by Finite Element Modeling." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-121209.

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This thesis explains a comprehensive study on the thermal modeling aspects of Laser Induced Forward Transfer (LIFT), a laser direct write technique. The LIFT process utilizes a focused laser beam to transfer a donor material coated on a laser wavelength transparent substrate to a receiver substrate kept in close proximity. COMSOL Multiphysics is used to implement a two-dimensional time dependent surface and volumetric heat generation model. The thermal model covers the laser induced heating in a pure copper donor material for nanosecond and picosecond pulsed Nd:YAG (Neodymium doped Yttrium Aluminium Garnett) lasers operating at 355 nm wavelength. The model is used to understand the molten regime of the donor material during LIFT process with a stationary laser beam of Gaussian profile in temporal and spatial domain. The input parameters used in the model include both temperature-dependent as well as temperature-independent thermophysical material properties such as heat capacity and thermal conductivity. In addition, theoretical investigations are done to study the optical properties of the material such as absorption coefficient and reflectivity. Simulations are done by changing pulse length, energy per pulse, donor layer thickness and wavelength. Investigation of the heat loss in the donor substrate is also carried out. The influence of wavelengths for 355 nm, 532 nm and 1064 nm at a fixed laser fluence and thickness is also studied. The simulation result shows strengths and weaknesses of both nanosecond and picosecond systems. A picosecond pulse is much dependent on thickness of the material (a few 100 nanometers) whereas a nanosecond pulse is capable of melting a thicker layer (a few micrometers). Choosing a particular laser pulse depends entirely on the type of applications and requirements. It is observed that the peak surface temperature increases linearly with increasing fluence and falls exponentially with increasing donor layer thickness. Also, it is seen that the longer wavelengths require more energy to reach melting temperature at same fluence and thickness due to increased value of reflectivity and less energetic photons. The simulated results give a good approximation to the experimental results of copper LIFT. The model can be used for other materials also by using the relevant material properties.
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Soares, Nuno Filipe de Almeida. "Modeling of lifetime probability of default and forward-looking adjustment." Master's thesis, Instituto Superior de Economia e Gestão, 2017. http://hdl.handle.net/10400.5/14963.

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Mestrado em Mathematical Finance
A 1 de Janeiro de 2018, a nova norma contabilística para instrumentos financeiros, IFRS 9 Financial Instruments, tornar-se-á obrigatória. Convergendo as necessidades da crise de 2007 para mudanças técnicas, o seu objetivo é alinhar a contabilidade com a gestão de risco. Uma das principais adaptações é o novo modelo de imparidade, que passa de "perdas incorridas" na IAS 39 para "perdas esperadas" na IFRS 9. Para fazer essa transição, é necessário incorporar informação forward-looking nas estimações. Neste caso, a incorporação necessitava de ser feita para as Probabilidades de Default, uma das variáveis usadas para calcular "perdas esperadas". Portanto, nosso objetivo era desenvolver e validar um modelo, alavancando o trabalho anterior, que integrasse projeções macroeconómicas nas estimativas das Probabilidades de Default. Para isso duas abordagens foram comparadas, sendo uma mais técnica, e, a outra mais simples e mais prática. Após a comparação, o modelo final foi definido ao ajustar a melhor abordagem.
On January 1st, 2018, the new financial instruments standard, IFRS 9 Financial Instruments, will turn mandatory. Converging 2007's crisis' needs for technical changes, its objective is to align accounting with risk management. One of the main adaptations is the new impairment model, which passes from "incurred losses" in IAS 39 to "expected losses" in IFRS 9. To make this transition forward-looking information must be incorporated in the estimations. In this case, the incorporation needed to be made for the Probabilities of Default, one of the variables used to calculate "expected losses". Therefore, our objective was to develop and validate a model, while leveraging previous work, to integrate macroeconomic projections in the estimations of the Probabilities of Default. To do so, two approaches were compared, with one being more technical while the other simpler and more practical. After the comparison, the final model was defined by adjusting the best approach.
info:eu-repo/semantics/publishedVersion
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Maerten, Frantz. "Geomechanics to solve geological structure issues : forward, inverse and restoration modeling." Thesis, Montpellier 2, 2010. http://www.theses.fr/2010MON20031.

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Différentes applications de l'élasticité linéaire en géologie structurale sont présentées dans cette thèse à travers le développement de trois types de codes numériques. Le premier utilise la modélisation directe pour étudier les déplacements et champs de contraintes autour de zones faillées complexes. On montre que l'ajout de contraintes inégalitaires, telles que la friction de Coulomb, permet d'expliquer l'angle d'initiation des dominos dans les relais extensifs. L'ajout de matériaux hétérogènes et d'optimisations, telles la parallélisation sur processeurs multi-coeurs ainsi que la réduction de complexité des modèles, permettent l'étude de modèles beaucoup plus complexes. Le second type de code numérique utilise la modélisation inverse, aussi appelée estimation de paramètres. L'inversion linéaire de déplacements sur les failles ainsi que la détermination de paléo-contraintes utilisant une approche géomécanique sont développées. Le dernier type de code numérique concerne la restoration de structures complexes plissées et faillées. Il est notamment montré qu'une telle méthode permet de vérifier l'équilibre de coupes géologiques, ainsi que de retrouver la chronologie des failles. Finalement, nous montrons que ce même code permet de lisser des horizons 3D faillés, plissés et bruités en utilisant la géomécanique
Different applications of linear elasticity in structural geology are presented in this thesis through the development of three types of numerical computer codes. The first one uses forward modeling to study displacement and perturbed stress fields around complexly faulted regions. We show that incorporating inequality constraints, such as static Coulomb friction, enables one to explain the angle of initiation of jogs in extensional relays. Adding heterogeneous material properties and optimizations, such as parallelization on multicore architectures and complexity reduction, admits more complex models. The second type deals with inverse modeling, also called parameter estimation. Linear slip inversion on faults with complex geometry, as well as paleo-stress inversion using a geomechanical approach, are developed. The last type of numerical computer code is dedicated to restoration of complexly folded and faulted structures. It is shown that this technique enables one to check balanced cross-sections, and also to retrieve fault chronology. Finally, we show that this code allows one to smooth noisy 3D interpreted faulted and folded horizons using geomechanics
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Cochrane, Douglas F. Lawson Catherine L. "Modeling Department of Defense controlled atmosphere transshipments for forward deployed forces /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1998. http://handle.dtic.mil/100.2/ADA343617.

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Thesis (M.S. in Management) Naval Postgraduate School, March 1998.
Thesis advisor(s): Jim Kerber, Jane Feitler. "March 1998." Includes bibliographical references (p. 151-154). Also available online.
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Cochrane, Douglas F., and Catherine L. Lawson. "Modeling Department of Defense controlled atmosphere transshipments for forward deployed forces." Thesis, Monterey, California. Naval Postgraduate School, 1998. http://hdl.handle.net/10945/8690.

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Approved for public release; distribution is unlimited
The objective of this thesis is to explore the cost savings, product quality improvement, and process efficiencies that can be realized by the integrated design and application of an innovative logistics system for the purchase and transshipment of fresh fruits and vegetables (FFV) to forward deployed units. The expanding global marketplace, strategic partnerships with private industry, aggressive utilization of commercial-off-the-shelf (COTS) technology, and an aggregate understanding of the logistics pipeline process will enable the Department of Defense (DoD) logistician to provide the customer with a wider variety of fresher, higher quality product, while exploiting monetary savings through competitive pricing, lower transportation costs, and reduced product handling losses and damage. The aggressive application of this process can result in the wholesale shift of the current operational paradigm with regards to the support of forward deployed forces, from the sea. Combat Logistic Forces will have increased flexibility for scheduling and ultimately expand their operational capability, remaining at sea for longer periods of time, carrying more product, and better serving the warfighter. A summary of findings is provided with recommendations for further research into specific applications of technologies, training, and existing processes
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Shen, Yongxing. "Modeling electrostatic force microscopy and related techniques : forward and inverse problems /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Books on the topic "Forward modeling"

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Cui, Xiaoqin, Laurence Lines, Edward Stephen Krebes, and Suping Peng. Seismic Forward Modeling of Fractures and Fractured Medium Inversion. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-3584-5.

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Cochrane, Douglas F. Modeling Department of Defense controlled atmosphere transshipments for forward deployed forces. Monterey, Calif: Naval Postgraduate School, 1998.

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A, Lock James, and United States. National Aeronautics and Space Administration., eds. Calibration of the forward-scattering spectrometer probe: Modeling scattering from a multimode laser beam. [Washington, DC: National Aeronautics and Space Administration, 1993.

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H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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H, Powers Michael, and Geological Survey (U.S.), eds. GPRMODEL: One-dimensional pull waveform forward modeling of ground penetrating radar data. [Denver, Colo.]: U.S. Geological Survey, 1992.

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Karl, Ellefsen, Haeni F. P, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Forward-modeling computer program for the inductive electromagnetic ground-conductivity method: EM34.FOR. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1987.

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Öhreneder, Christian. A similarity measure for global image matching based on the forward modeling principle. Wien: Institut für Photogrammetrie und Fernerkundung, 1999.

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Karl, Ellefsen, Haeni F. P, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Forward-modeling computer program for the inductive electromagnetic ground-conductivity method: EM34.FOR. Hartford, Conn: U.S. Dept. of the Interior, Geological Survey, 1987.

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Book chapters on the topic "Forward modeling"

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Legchenko, Anatoly. "Forward Modeling." In Magnetic Resonance Imaging for Groundwater, 45–83. Hoboken, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118649459.ch3.

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De Graef, Marc. "Forward Modeling." In Statistical Methods for Materials Science, 47–62. Boca Raton, Florida : CRC Press, [2019]: CRC Press, 2019. http://dx.doi.org/10.1201/9781315121062-5.

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Wei, Jing, and Chuyang Y. Tang. "Modeling of Forward Osmosis Processes." In Forward Osmosis, 15–48. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784414071.ch02.

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Mamayev, Robert. "Modeling Forward Contracts." In Data Modeling of Financial Derivatives, 59–83. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-6590-0_4.

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Hirt, Christian. "Gravity Forward Modeling." In Encyclopedia of Geodesy, 1–5. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-02370-0_106-1.

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Wu, Lixin. "Forward Measures and the Black Formula." In Interest Rate Modeling, 99–120. 3rd ed. New York: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003389101-5.

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Einevoll, Gaute T. "Extracellular Potentials, Forward Modeling of." In Encyclopedia of Computational Neuroscience, 1165–68. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_59.

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Haueisen, Jens, and Thomas R. Knösche. "Forward Modeling and Tissue Conductivities." In Magnetoencephalography, 1–22. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-62657-4_4-1.

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Haueisen, Jens, and Thomas R. Knösche. "Forward Modeling and Tissue Conductivities." In Magnetoencephalography, 107–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-33045-2_4.

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Haueisen, Jens, and Thomas R. Knösche. "Forward Modeling and Tissue Conductivities." In Magnetoencephalography, 145–65. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-00087-5_4.

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Conference papers on the topic "Forward modeling"

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Akalin Acar, Zeynep, and Scott Makeig. "Neuroelectromagnetic Forward Modeling Toolbox." In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2008. http://dx.doi.org/10.1109/iembs.2008.4650084.

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Shaalan, Amr, Md Nayer Nasim, J. Hunter Mack, Noah Van Dam, and Dimitris Assanis. "Understanding Ammonia/Hydrogen Fuel Combustion Modeling in a Quiescent Environment." In ASME 2022 ICE Forward Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icef2022-91185.

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Abstract Ammonia and Hydrogen are attractive alternative fuels for a zero-carbon combustion solution that can rapidly decarbonize the transportation industry. Understanding the chemical behavior and combustion characteristics of these fuels individually, as well as blended together, is pivotal to ensuring their widespread adoption and utilization. Furthermore, in the era of computer-aided engineering, it is critical to evaluate our ability to computationally model the chemical reactivity of these two fuels and validate predictions of experimentally observed phenomena using multi-dimensional simulations. In this study, ammonia/hydrogen chemical kinetics mechanisms available from the research literature are investigated through 0-D, 1-D, and 3-D simulations. The 0-D and 1-D simulations were carried out to understand the ignition delay and laminar flame speeds, respectively, at different operating pressures and temperatures. 3-D simulations were also performed to test the fuels’ behavior in a closed volume combustion chamber. The multi-dimensional computational results were compared against optically measured experimental data available in recent publications. Specifically, a comparison of unstretched flame speeds determined from stretched flame speeds of post-processed computational results is made. Lean and rich combustion limits have been computationally evaluated as well. Lastly, observed physical buoyancy effects were reproducible in a quiescent computational environment leading to increased confidence in using the evaluated chemical kinetics mechanisms for high-fidelity reciprocating piston engine computational research and development.
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Mai, Jan-Frederik. "Forward versus Spot Price Modeling." In Innovations in Insurance, Risk- and Asset Management. WORLD SCIENTIFIC, 2018. http://dx.doi.org/10.1142/9789813272569_0016.

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Wallace, Kevin, and Timothy J. Jacobs. "Cycle-by-Cycle Modeling of Integral Compressor Engines for Real-Time Emissions Control." In ASME 2023 ICE Forward Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/icef2023-110401.

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Abstract As emissions regulations become increasingly stringent, the natural gas industry is seeking to retrofit their integral compressor engine fleet with real-time emissions control technology. The primary pollutants of concern for these engines are oxides of nitrogen (NOx) and methane. Unfortunately, there is often a tradeoff in abating these two chemical species. This paper discusses a potential control strategy for reducing both simultaneously. The strategy proposed in this work is two-tiered, consisting of slow-speed and cycle-by-cycle control of the fuel-air ratio. Its success hinges upon the ability to rapidly diagnose, learn, and predict the cycle-by-cycle thermodynamics and emissions of the engine. This work describes a zero-dimensional simulation created for this purpose. Simulated results for in-cylinder pressure and emissions are compared to experimental data for an actual engine. The simulation achieved very good agreement with the measurements and performed very well as a diagnostic tool, which bodes well for both the first and second tiers of the proposed control strategy. Future work will involve cycle-by-cycle NOx modeling and investigating how the simulation can be used to learn and rapidly predict cycle-by-cycle composition.
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Liu, Long, and Qihao Mei. "Inducing Viscosity Effects Into Simple Spray Modeling for Flexible-Fuel Injection System of Diesel Engine." In ASME 2022 ICE Forward Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icef2022-89643.

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Abstract Diesel engine has contributed a lot to human’s life but also induced serious pollutant emission problems. Developing flexible-fuel diesel engine becomes an inexorable choice to cope with the increasingly stringent emission regulations. But various engine fuels have completely different viscosities, which have a great importance to the spray mixing characteristics. So understanding the effect of fuel viscosity on spray propagation process is significant to assess the influence of various fuels on combustion process and further adjust combustion strategy to maximize the efficiency of flexible-fuel diesel engine. However, the fuel viscosity effect was seldom considered in past simple spray modeling. Therefore, this study aims to optimize the simple spray modeling for the flexible-fuel injection system of diesel engine by inducing the fuel viscosity effects. Firstly, the Gaussian distribution characteristics of various engine fuels’ concentration are modified with the turbulent Schmidt number (Sc). Secondly, the influence of fuel viscosity on the fuel concentration distribution over the spray cross-sectional area is obtained. Finally, the newly-built spray model involving the fuel viscosity effects is validated experimentally. Results show that Sc decreases with the increasing fuel viscosity, and the higher fuel viscosity leads to the smoother fuel concentration distribution profile over spray cross-sectional area.
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Sok, Ratnak, and Jin Kusaka. "Thermoelectric Exhaust Heat Recovery to Maximize Brake Thermal Efficiency of Advanced Diesel Engines: Modeling and Baseline Analysis." In ASME 2022 ICE Forward Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icef2022-90505.

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Abstract This work demonstrates the enhancement of brake thermal efficiency (BTE) of an advanced, turbocharged, production-intent 2.2 L diesel engine with a thermoelectric waste heat recovery system (TEG-WHR). The integrated engine model with the TEG is developed using 0D/1D software. Experimental data from the corrugated fin TEG under fin pitch = 1.0–2.0 mm, inlet gas temperatures (200–300 °C), and mass flow rates (5.0–15.0 g/s) are used for validating the model. The TEG model can reproduce measured pressure drop, heat transfer, and thermal performance characteristics. A 1-cylinder engine model parented from the advanced turbocharged diesel engine is developed. Under motoring and firing conditions, measured exhaust pressure, temperature, velocity, mass flow rate, and enthalpy are validated under various valve timings. Finally, the 3-layer TEG model is connected to the 4-cylinder engine to maximize its performance under a highly efficient (peak BTE) operating condition at 2250 RPM. Optimal size and thermoelectric module arrangement of the TEG system in the engine system considering a tradeoff between the TEG generated electrical power and engine pumping losses are suggested. The effective power of 1.1 kW and 1.1 % BTE improvement are obtained from the 3-sheet TEG system. As a result, a 49.9 % engine BTE is demonstrated without brake power loss.
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Brown, Justin L., John H. Carpenter, and Christopher T. Seagle. "Forward modeling of shock-ramped tantalum." In SHOCK COMPRESSION OF CONDENSED MATTER - 2015: Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter. Author(s), 2017. http://dx.doi.org/10.1063/1.4971555.

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Carcione, José M. "Radiation patterns for GPR forward modeling." In SEG Technical Program Expanded Abstracts 1996. Society of Exploration Geophysicists, 1996. http://dx.doi.org/10.1190/1.1826775.

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Yongming, Wang, Feng Xukui, and Jia Fuzong. "Optimizing geometry based on forward modeling." In SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. http://dx.doi.org/10.1190/segam2013-0104.1.

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Sengupta, Madhumita, Chandra Rai, and Carl Sondergeld. "Sensitivity studies in forward AVO modeling." In SEG Technical Program Expanded Abstracts 1998. Society of Exploration Geophysicists, 1998. http://dx.doi.org/10.1190/1.1820354.

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Reports on the topic "Forward modeling"

1

Lengua, G. A. Modeling of Forward Scattering. Fort Belvoir, VA: Defense Technical Information Center, April 1991. http://dx.doi.org/10.21236/ada241618.

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Lyons, Anthony P. Synthetic Aperture Sonar Forward Modeling and Inversion. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542120.

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Lyons, Anthony P. Synthetic Aperture Sonar Forward Modeling and Inversion. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada571650.

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Lyons, Anthony P. Synthetic Aperture Sonar Forward Modeling and Inversion. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574969.

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Knight, Earl E., and Esteban Rougier. Current SPE Hydrodynamic Modeling and Path Forward. Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1048858.

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Steedly, W., and R. Moses. Exponential Modeling Using Combined Forward and Backward Prediction. Fort Belvoir, VA: Defense Technical Information Center, March 1989. http://dx.doi.org/10.21236/ada212317.

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Steckler, Michael S. Forward Modeling of Stratigraphic Sequences at Continental Margins. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada627721.

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Steckler, Michael S. Forward Modeling of Stratigraphic Sequences at Continental Margins. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada627996.

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Steckler, Michael S. Forward Modeling of Stratigraphic Sequences at Continental Margins. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630276.

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Krueger, Jens, Paulius Micikevicius, and Samuel Williams. Optimization of Forward Wave Modeling on Contemporary HPC Architectures. Office of Scientific and Technical Information (OSTI), July 2012. http://dx.doi.org/10.2172/1223018.

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