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Добірка наукової літератури з теми "Mathematical model of tire"

Автор: Grafiati
Опубліковано: 13 вересня 2021
Оновлено: 14 лютого 2022

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  6. Звіти організацій

Статті в журналах з теми "Mathematical model of tire":

1

Ni, E. J. "A Mathematical Model for Tire/Wheel Assembly Balance." Tire Science and Technology 21, no. 4 (October 1, 1993): 220–31. http://dx.doi.org/10.2346/1.2139530.

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Abstract A mathematical model is developed to calculate the weight required on a tire/wheel assembly to balance wheel nonuniformity effects such as the lateral runout. A finite element model of a tire mounted on a rigid wheel is used to simulate the free spinning about a skewed axis. The result showed that Euler's equation of motion in rigid body dynamics can be used to calculate the imbalance caused by wheel lateral runout. This equation is then used in a Monte Carlo model to simulate a production distribution. The model can be used to define tire and wheel specification limits, and to predict the number of assemblies that will have unacceptable imbalances. The verification of the model and results of the Monte Carlo simulation are presented.
2

Yanchevskiy, Vadim, and Elena Yanchevskaya. "Mathematical Model of Tire Life Calculation in Real Conditions." Applied Mechanics and Materials 838 (June 2016): 78–84. http://dx.doi.org/10.4028/www.scientific.net/amm.838.78.

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In this article we answer questions on how to control tire life. We propose the method of calculating the standard mileage rate of the tires in specific conditions. We describe how to determine the remaining mileage of each tire in operation and therefore determine the date of its decommissioning. And in this way make the balanced forecast of the tires demand for the future period to replace the unusable tires.
3

Pearson, Matthew, Oliver Blanco-Hague, and Ryan Pawlowski. "TameTire: Introduction to the Model." Tire Science and Technology 44, no. 2 (April 1, 2016): 102–19. http://dx.doi.org/10.2346/tire.16.440203.

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ABSTRACT Tire modeling is an ever-growing area of interest for vehicles as more efficient development processes are desired in terms of time and resources. Vehicle simulations offer an opportunity for development teams to predict tire and vehicle performance before the construction of a physical prototype. Michelin has identified the need for more robust and accurate tire models that can be used for such simulations to give an accurate description of the transient mechanical and thermal behavior of a tire. Rubber's viscous and elastic properties are heavily dependent on their thermal state; when this effect is not modeled, it results in mathematical tire models that insufficiently predict tire performance. TameTire aims to fill this void for a broad range of maneuvers, track characteristics, and operating conditions based on the ability to predict tire forces and moments with physically based parameters. Some physical characteristics contained within a TameTire model include contact patch dimensions, tread, sidewall and belt stiffnesses, and rubber compound properties. Empirical tire models for handling have limited representation of tire physical properties due to the dependence on the measurement protocol and lack of identification of the thermal state of the tire. TameTire's advance modeling techniques include capturing a tire's thermal effects, thereby allowing for a more accurate and thorough analysis of tires behavior while being physically based (e.g., parameters for stiffness, rubber properties) and allowing the model to be grounded in the actual physics of a tire operating.
4

Völkl, Timo, Robert Lukesch, Martin Mühlmeier, Michael Graf, and Hermann Winner. "A Modular Race Tire Model Concerning Thermal and Transient Behavior using a Simple Contact Patch Description." Tire Science and Technology 41, no. 4 (October 1, 2013): 232–46. http://dx.doi.org/10.2346/tire.13.410402.

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ABSTRACT The potential of a race tire strongly depends on its thermal condition, the load distribution in its contact patch, and the variation of wheel load. The approach described in this paper uses a modular structure consisting of elementary blocks for thermodynamics, transient excitation, and load distribution in the contact patch. The model provides conclusive tire characteristics by adopting the fundamental parameters of a simple mathematical force description. This then allows an isolated parameterization and examination of each block in order to subsequently analyze particular influences on the full model. For the characterization of the load distribution in the contact patch depending on inflation pressure, camber, and the present force state, a mathematical description of measured pressure distribution is used. This affects the tire's grip as well as the heat input to its surface and its casing. In order to determine the thermal condition, one-dimensional partial differential equations at discrete rings over the tire width solve the balance of energy. The resulting surface and rubber temperatures are used to determine the friction coefficient and stiffness of the rubber. The tire's transient behavior is modeled by a state selective filtering, which distinguishes between the dynamics of wheel load and slip. Simulation results for the range of occurring states at dry conditions show a sufficient correlation between the tire model's output and measured tire forces while requiring only a simplified and descriptive set of parameters.
5

Orysenko, Oleksandr, Mykola Nesterenko, Oleksiy Vasyliev, and Ivan Rohozin. "MATHEMATICAL MODEL OF PRESSURE CHANGE IN AUTOMOBILE PNEUMATICAL TIRE DEPENDING ON OPERATING TEMPERATURE." ACADEMIC JOURNAL Series: Industrial Machine Building, Civil Engineering 2, no. 53 (October 31, 2019): 25–29. http://dx.doi.org/10.26906/znp.2019.53.1885.

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It has been established that in the process of operation pressure ratings in the tires of many cars differs from those recommended by the production plant. Is leads to performance degradation of tires traveling properties and their loss of life.The pressure excursion from the normative value may be caused either by an error during tire inflation, or by the fact that thedifference between the operating temperature and the temperature of the inflating air has not considered. Using athematicalstatistical methods of data processing, there has been deduced the mathematical relationship between pressure in the pneumatical tire at the operating temperature and the required pressure of inflating air into the tire, if the temperatures of inflationand operation differ.
6

López, Alberto, José Luis Olazagoitia, Francisco Marzal, and María Rosario Rubio. "Optimal parameter estimation in semi-empirical tire models." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 1 (June 19, 2018): 73–87. http://dx.doi.org/10.1177/0954407018779851.

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Semi-empirical tire models are mathematical models, the parameters of which are identified after a process of error reduction to fit experimental data obtained in the laboratory. In this process, the algorithms used for estimating the model parameters are usually based on nonlinear least-squares fitting methods, in which only vertical residuals between the model and the test points are considered. Although extensively utilized, this type of fitting implicitly considers that errors in the slip data (horizontal residuals) are either nonexistent or negligible, which is not true. This paper introduces a new methodology to the identification of semi-empirical tire model parameters based on weighed orthogonal residuals, which takes into account possible errors inherent in the test measurements of dependent and independent variables. The results show that the methodology offers a reliable parameter identification providing an even fitting for all the zones of the mathematical semi-empirical tire model.
7

Olazagoitia, José Luis, Jesus Angel Perez, and Francisco Badea. "Identification of Tire Model Parameters with Artificial Neural Networks." Applied Sciences 10, no. 24 (December 20, 2020): 9110. http://dx.doi.org/10.3390/app10249110.

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Accurate modeling of tire characteristics is one of the most challenging tasks. Many mathematical models can be used to fit measured data. Identification of the parameters of these models usually relies on least squares optimization techniques. Different researchers have shown that the proper selection of an initial set of parameters is key to obtain a successful fitting. Besides, the mathematical process to identify the right parameters is, in some cases, quite time-consuming and not adequate for fast computing. This paper investigates the possibility of using Artificial Neural Networks (ANN) to reliably identify tire model parameters. In this case, the Pacejka’s “Magic Formula” has been chosen for the identification due to its complex mathematical form which, in principle, could result in a more difficult learning than other formulations. The proposed methodology is based on the creation of a sufficiently large training dataset, without errors, by randomly choosing the MF parameters within a range compatible with reality. The results obtained in this paper suggest that the use of ANN to directly identify parameters in tire models for real test data is possible without the need of complicated cost functions, iterative fitting or initial iteration point definition. The errors in the identification are normally very low for every parameter and the fitting problem time is reduced to a few milliseconds for any new given data set, which makes this methodology very appropriate to be used in applications where the computing time needs to be reduced to a minimum.
8

Mancosu, F., R. Sangalli, F. Cheli, G. Ciarlariello, and F. Braghin. "A Mathematical-physical 3D Tire Model for Handling/Comfort Optimization on a Vehicle: Comparison with Experimental Results." Tire Science and Technology 28, no. 4 (October 1, 2000): 210–32. http://dx.doi.org/10.2346/1.2136001.

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Abstract A new 3D mathematical-physical tire model is presented. This model considers not only the handling behavior of the tire but also its comfort characteristics, i.e., the dynamic properties in the lateral and the vertical planes. This model can be divided into two parts, the structural model and the contact area model. The structural parameters are identified by comparison with frequency responses of a 3D finite element model of the tire, whereas the contact parameters are directly calculated with a finite element model of the tread pattern. The 3D physical model allows predicting both steady state and transient behavior of the tire without the need of any experimental tests on the tire. The steady state analysis allows obtaining the friction circle diagram, i.e., the plot of the lateral force against the longitudinal force for different slip angles and for longitudinal slip, and the Gough plot, i.e., the diagram of the self-aligning torque versus the lateral force. The transient analysis allows obtaining the dynamic behavior of the tire for any maneuver given to the wheel. Among its outputs there are the relaxation length and the dynamic forces and torque transmitted to the suspension of the vehicle. Combining the tire model with the vehicle model it is possible to perform any kind of maneuver such as overtaking, changing of lane and steering pad at growing speed with or without braking, or accelerating. Therefore the 3D tire model can be seen as a powerful tool to optimize the tire characteristics through a sensitivity analysis performed with tire and vehicle models linked to each other without the need of building prototypes. Some preliminary comparisons with experimental data have been carried out.
9

Miller, C., P. Popper, P. W. Gilmour, and W. J. Schaffers. "Textile Mechanics Model of a Pneumatic Tire." Tire Science and Technology 13, no. 4 (October 1, 1985): 187–226. http://dx.doi.org/10.2346/1.2150994.

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Abstract A mathematical model to analyze the structural behavior of a pneumatic tire is described. The model consists of a series of unidirectional layers of tire cord bonded together in a contoured shape to form a laminated structure. The number of cord layers and the properties and orientation of the cords in each layer can be varied to represent various sections such as the belt and sidewall of a radial construction. The model includes only membrane stresses, but permits large deformations and geometric rearrangement of the cords. Inputs to the model include the initial uninflated tire geometry (mold shape), properties and arrangement of cords and rubber, and the applied load distribution. Model outputs include shape, cord tension distributions, and interply shear stresses. A selection of results from the model are presented for a particular radial tire, and a comparison is made between the calculated and experimentally observed shapes. The results are interpreted in terms of the fundamental mechanical behavior of the system.
10

Gorelov, V. A., and A. I. Komissarov. "Mathematical Model of the Straight-line Rolling Tire – Rigid Terrain Irregularities Interaction." Procedia Engineering 150 (2016): 1322–28. http://dx.doi.org/10.1016/j.proeng.2016.07.309.

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Статті в журналах Дисертації Книги

Дисертації з теми "Mathematical model of tire":

1

Straka, Tomáš. "Matematické modely pneumatik." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-449788.

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This master‘s thesis describes problematics of mathematical models of tires for computer simulations. The goal of this thesis is to depict currently used models of tires and to compare them. Thesis describes brush type models, Fiala, Magic Formula (Pacejka), FTire, UA-Gim, 521 and DELFT. Those models are compared to each other by simulations carried out in software MSC ADAMS Car. The results are shown in figures with commentary and evaluation. This thesis serves as introduction to problematics of currently used mathematical models of tire in computer simulations.
2

Zhou, Xiaobin. "Mathematical and Physical Simulations of BOF Converters." Doctoral thesis, KTH, Tillämpad processmetallurgi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175462.

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The purpose of this study is to develop mathematical models to explore the mixing and its related phenomena in converter bath. Specifically, first, a mathematical model of a physical model converter, which was scaled down to 1/6th of a 30 t vessel, was developed in this study. A number of parameters were studied and their effects on the mixing time were recorded in a top blown converter. Second, a mathematical model for a combined top-bottom blown was built to investigate the optimization process. Then, a side tuyere was introduced in the combined top-bottom blown converter and its effects on the mixing and wall shear stress were studied. Moreover, based on the above results, the kinetic energy transfer phenomena in a real converter were investigated by applying the mathematical models. A simplified model, in which the calculation region was reduced to save calculation compared to simulations of the whole region of the converter, was used in the mathematical simulation. In addition, this method was also used in the simulation of real converters. This approach makes it possible to simulate the Laval nozzle flow jet and the cavity separately when using different turbulence models. In the top blown converter model, a comparison between the physical model and the mathematical model showed a good relative difference of 2.5% and 6.1% for the cavity depth and radius, respectively. In addition, the predicted mixing time showed a good relative difference of 2.8% in comparison to the experimental data. In an optimization of a combined top-bottom blown converter, a new bottom tuyere scheme with an asymmetrical configuration was found to be one of the best cases with respect to a decreased mixing time in the bath. An industrial investigation showed that the application effects of the new tuyere scheme yield a better stirring condition in the bath compared to the original case. Furthermore, the results indicated that the mixing time for a combined top-bottom-side blown converter was decreased profoundly compared to a conventional combined top-bottom blown converter. It was found that the side wall shear stress is increased by introducing side blowing, especially in the region near the side blowing plume. For a 100 t converter in real, the fundamental aspects of kinetic energy transfer from a top and bottom gas to the bath were explored. The analyses revealed that the energy transfer is less efficient when the top lance height is lowered or the flowrate is increased in the top blowing operations. However, an inverse trend was found. Namely, that the kinetic energy transfer is increased when the bottom flowrate is increased in the current bottom blowing operations. In addition, the slag on top of the bath is found to dissipate 6.6%, 9.4% and 11.2% for the slag masses 5, 9 and 15 t compared to the case without slag on top of the surface of the bath, respectively.

QC 20151015

3

Kim, Taejung 1969. "Time-optimal CNC tool paths : a mathematical model of machining." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/8861.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2001.
Includes bibliographical references (p. 181-188).
Free-form surface machining is a fundamental but time-consuming process in modern manufacturing. The central question we ask in this thesis is how to reduce the time that it takes for a 5-axis CNC (Computer Numerical Control) milling machine to sweep an entire free-form surface in its finishing stage. We formulate a non-classical variational time-optimization problem defined on a 2-dimensional manifold subject to both equality and inequality constraints. The machining time is the cost functional in this optimization problem. We seek for a preferable vector field on a surface to obtain skeletal information on the toolpaths. This framework is more amenable to the techniques of continuum mechanics and differential geometry rather than to path generation and conventional CAD/CAM (Computer Aided Design and Manufacturing) theory. After the formulation, this thesis derives the necessary conditions for optimality. We decompose the problem into a series of optimization problems defined on 1-dimensional streamlines of the vector field and, as a result, simplify the problem significantly. The anisotropy in kinematic performance has a practical importance in high-speed machining. The greedy scheme, which this thesis implements for a parallel hexapod machine tool, uses the anisotropy for finding a preferable vector field.
(cont.) Numerical integration places tool paths along its integral curves. The gaps between two neighboring toolpaths are controlled so that the surface can be machined within a specified tolerance. A conservation law together with the characteristic theory for partial differential equations comes into play in finding appropriately-spaced toolpaths, avoiding unnecessarily-overlapping areas. Since the greedy scheme is based on a local approximation and does not search for the global optimum, it is necessary to judge how well the greedy paths perform. We develop an approximation theory and use it to economically evaluate the performance advantage of the greedy paths over other standard schemes. In this thesis, we achieved the following two objectives: laying down the theoretical basis for surface machining and finding a practical solution for the machining problem. Future work will address solving the optimization problem in a stricter sense.
by Taejung Kim.
Ph.D.
4

Daukste, Liene. "Mathematical Modelling of Cancer Cell Population Dynamics." Thesis, University of Canterbury. Department of Mathematics and Statistics, 2012. http://hdl.handle.net/10092/10057.

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Mathematical models, that depict the dynamics of a cancer cell population growing out of the human body (in vitro) in unconstrained microenvironment conditions, are considered in this thesis. Cancer cells in vitro grow and divide much faster than cancer cells in the human body, therefore, the effects of various cancer treatments applied to them can be identified much faster. These cell populations, when not exposed to any cancer treatment, exhibit exponential growth that we refer to as the balanced exponential growth (BEG) state. This observation has led to several effective methods of estimating parameters that thereafter are not required to be determined experimentally. We present derivation of the age-structured model and its theoretical analysis of the existence of the solution. Furthermore, we have obtained the condition for BEG existence using the Perron-Frobenius theorem. A mathematical description of the cell-cycle control is shown for one-compartment and two-compartment populations, where a compartment refers to a cell population consisting of cells that exhibit similar kinetic properties. We have incorporated into our mathematical model the required growing/aging times in each phase of the cell cycle for the biological viability. Moreover, we have derived analytical formulae for vital parameters in cancer research, such as population doubling time, the average cell-cycle age, and the average removal age from all phases, which we argue is the average cell-cycle time of the population. An estimate of the average cell-cycle time is of a particular interest for biologists and clinicians, and for patient survival prognoses as it is considered that short cell-cycle times correlate with poor survival prognoses for patients. Applications of our mathematical model to experimental data have been shown. First, we have derived algebraic expressions to determine the population doubling time from single experimental observation as an alternative to empirically constructed growth curve. This result is applicable to various types of cancer cell lines. One option to extend this model would be to derive the cell cycle time from a single experimental measurement. Second, we have applied our mathematical model to interpret and derive dynamic-depicting parameters of five melanoma cell lines exposed to radiotherapy. The mathematical result suggests there are shortcomings in the experimental methods and provides an insight into the cancer cell population dynamics during post radiotherapy. Finally, a mathematical model depicting a theoretical cancer cell population that comprises two sub-populations with different kinetic properties is presented to describe the transition of a primary culture to a cell line cell population.
5

Yip, Wai San. "Model updating in real-time optimization /." *McMaster only, 2002.

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6

McCloud, Nadine. "Model misspecification theory and applications /." Diss., Online access via UMI:, 2008.

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7

Tang, Philip Kwok Fan. "Stochastic Hydrologic Modeling in Real Time Using a Deterministic Model (Streamflow Synthesis and Reservoir Regulation Model), Time Series Model, and Kalman Filter." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/4580.

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The basic concepts of hydrologic forecasting using the Streamflow Synthesis And Reservoir Regulation Model of the U.S. Army Corps of Engineers, auto-regressive-moving-average time series models (including Greens' functions, inverse functions, auto covariance Functions, and model estimation algorithm), and the Kalman filter (including state space modeling, system uncertainty, and filter algorithm), were explored. A computational experiment was conducted in which the Kalman filter was applied to update Mehama local basin model (Mehama is a 227 sq. miles watershed located on the North Santiam River near Salem, Oregon.), a typical SSARR basin model, to streamflow measurements as they became available in simulated real time. Among the candidate AR and ARMA models, an ARMA(l,l) time series model was selected as the best-fit model to represent the residual of the basin model. It was used to augment the streamflow forecasts created by the local basin model in simulated real time. Despite the limitations imposed by the quality of the moisture input forecast and the design and calibration of the basin model, the experiment shows that the new stochastic methods are effective in significantly improving the flood forecast accuracy of the SSARR model.
8

Kang, Joonyun. "Time domain mathematical model for six-degree-of-freedom motion in a wave." Thesis, University of Strathclyde, 2009. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=21999.

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In this thesis a novel controller for providing greater flexibility of operation of wind turbines known as the Power Adjusting Controller (PAC) is presented. The controller takes the form of an augmentation to a wind turbine’s full envelope controller, allowing it to be applied to any horizontal axis, pitch regulated, variable speed wind turbine. Conventional wind turbine control seeks to maximise the power output of a wind turbine whilst minimising the loads on the turbine, controlling on the error in generator speed via demands to the blade pitch actuator and generator torque actuator. The PAC uses additions to the full envelope controller inputs and outputs to alter the power output of the turbine by an additional input value ∆P. It is ensured that the operation of the full envelope controller is not compromised by the PAC. Testing of the PAC using lumped parameter models of wind turbines and full aero-elastic models makes clear a requirement for a wind speed estimator within the PAC that incorporates the effects of dynamic inflow. A novel wind speed estimator that accounts for dynamic inflow by redefining blade element momentum theory solely in terms of the dynamics at the rotor is therefore developed and incorporated into the PAC. Limits are designed to ensure that the operating point of a wind turbine with the PAC is kept within a safe operational envelope, and a system of flags and sub-flags is developed to allow easy integration of the PAC into a hierarchical wind farm control structure. The effect of using the PAC on the wind turbine loads is investigated, with the ultimate loads introduced by operation of the PAC found to be within the range of normal operating loads and the impact of prolonged reduction of the power output found to reduce the lifetime damage equivalent loads in most cases.
9

Despain, Lynnae. "A Mathematical Model of Amoeboid Cell Motion as a Continuous-Time Markov Process." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5671.

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Understanding cell motion facilitates the understanding of many biological processes such as wound healing and cancer growth. Constructing mathematical models that replicate amoeboid cell motion can help us understand and make predictions about real-world cell movement. We review a force-based model of cell motion that considers a cell as a nucleus and several adhesion sites connected to the nucleus by springs. In this model, the cell moves as the adhesion sites attach to and detach from a substrate. This model is then reformulated as a random process that tracks the attachment characteristic (attached or detached) of each adhesion site, the location of each adhesion site, and the centroid of the attached sites. It is shown that this random process is a continuous-time jump-type Markov process and that the sub-process that counts the number of attached adhesion sites is also a Markov process with an attracting invariant distribution. Under certain hypotheses, we derive a formula for the velocity of the expected location of the centroid.
10

Wang, Xiang, and 王翔. "Model order reduction of time-delay systems with variational analysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46604236.

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Книги з теми "Mathematical model of tire":

1

Callen, Mindy. Time series tests of the Ohlson model. Ann Arbor: UMI Dissertation Services, 1999.

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2

McQuarrie, Allan D. R. Regression and time series model selection. Singapore: World Scientific, 1998.

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3

Willems, Jan C. From Data to Model. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.

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4

Shabetnik, Basil D. Fractal physics: Introduction to a new physical model. Kaunas, Lithuania: A. Gylys, 1994.

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5

F, Carter John. A model for Space Shuttle orbiter tire side forces based on NASA Landing Systems Research Aircraft test results. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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6

DeMarzo, Peter M. A continuous-time agency model of optimal contracting and capital structure. Cambridge, MA: National Bureau of Economic Research, 2004.

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7

DeMarzo, Peter M. A continuous-time agency model of optimal contracting and capital structure. Cambridge, Mass: National Bureau of Economic Research, 2004.

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8

Ishiguro, M. ARdock, an auto-regressive model analyzer. Tokyo: Institute of Statistical Mathematics, 1999.

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9

Ishiguro, M. ARdock, an auto-regressive model analyzer. Tokyo: Institute of Statistical Mathematics, 1999.

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10

Kariya, Takeaki. Quantitative methods for portfolio analysis: MTV model approach. Dordrecht: Kluwer Academic Publishers, 1993.

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Частини книг з теми "Mathematical model of tire":

1

Simon, Bernard. "Tidal Model and Tide Streams." In Mathematical Models, 213–33. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557853.ch7.

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2

Impagliazzo, John. "The Continuous Time Model." In Deterministic Aspects of Mathematical Demography, 75–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82319-0_4.

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3

Padmanabhan, Regina, Nader Meskin, and Ala-Eddin Al Moustafa. "Time Series Data to Mathematical Model." In Series in BioEngineering, 15–54. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8640-8_2.

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Impagliazzo, John. "The Discrete Time Recurrence Model." In Deterministic Aspects of Mathematical Demography, 59–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82319-0_3.

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5

Impagliazzo, John. "The Discrete Time Matrix Model." In Deterministic Aspects of Mathematical Demography, 95–125. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-82319-0_5.

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6

Bezruchko, Boris P., and Dmitry A. Smirnov. "The Concept of Model. What is Remarkable in Mathematical Models." In Extracting Knowledge From Time Series, 3–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12601-7_1.

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7

Ippoliti, Emiliano. "Mathematical Models of Time as a Heuristic Tool." In Model-Based Reasoning in Science and Technology, 119–36. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38983-7_7.

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8

Bernhard, Pierre, Jacob C. Engwerda, Berend Roorda, J. M. Schumacher, Vassili Kolokoltsov, Patrick Saint-Pierre, and Jean-Pierre Aubin. "Continuous-Time Limits." In The Interval Market Model in Mathematical Finance, 273–83. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-0-8176-8388-7_15.

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9

Krishnan, Padmanabhan. "A model for real-time systems." In Mathematical Foundations of Computer Science 1991, 298–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54345-7_73.

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10

Gopi, E. S. "Mathematical Model of the Time-Varying Wireless Channel." In Digital Signal Processing for Wireless Communication using Matlab, 1–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-20651-6_1.

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Тези доповідей конференцій з теми "Mathematical model of tire":

1

Mancosu, Federico, Roberto Sangalli, Federico Cheli, and Stefano Bruni. "A New Mathematical-Physical 2D Tire Model for Handling Optimization on a Vehicle." In International Congress & Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1999. http://dx.doi.org/10.4271/1999-01-0789.

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2

Botero, Juan C., Massimiliano Gobbi, and Giampiero Mastinu. "A New Mathematical Model of the Force in Pneumatic Tire-Snow Chain Systems." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-13387.

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Анотація:
In this paper a new theoretical model to estimate the transmitted force in a snow-chain safety device is presented. Starting with a detailed analysis of the significant external forces acting on the system, the mathematical model is developed using some basic concepts of the contact mechanics theory. A MATLAB® code was developed in order to perform numerical simulations and experimental tests were carried out to validate the model. The results obtained show that for certain conditions of the driving surface and the tire's tread the force transmitted along the chain can be several times the longitudinal traction force applied to the tire itself. The importance of the interaction between the blocks on the tire and the chain segments is discussed. Some conclusions and recommendations are made in order to improve the design process of this kind of devices.
3

Sowunmi, C. O. A. "Time discrete 2-sex population model." In Mathematical Modelling of Population Dynamics. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2003. http://dx.doi.org/10.4064/bc63-0-13.

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4

Avhad, Anish, and Shoaib Iqbal. "1D Mathematical Model Development for Prediction and Mitigation of Vehicle Pull Considering Suspension Asymmetry and Tire Parameters." In Symposium on International Automotive Technology. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-26-0502.

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5

Sun, Chao, She-sheng Zhang, and Zhong-min Tang. "Ladder-Type Price Time Series Mathematical Managing Model." In 2017 16th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES). IEEE, 2017. http://dx.doi.org/10.1109/dcabes.2017.65.

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6

Jensen, Gullik A., and Thor I. Fossen. "Mathematical Models for Model-Based Control in Offshore Pipelay Operations." In ASME 2009 28th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/omae2009-79372.

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This paper considers mathematical models for model-based controller design in offshore pipelay operations. Three classes of models for control design are discussed, real-world models suitable for controller design verification, controller and observer models which are used on-line in the control system implementation. The control application place requirements on the model with respect to the computational time, dynamic behavior, stability and accuracy. Models such as the beam model, two catenary models, as well as general finite element (FE) models obtained from computer programs were not able to meet all of the requirements, and two recent dynamic models designed for control are presented, which bridge the gap between the simple analytical and more complex FE models. For completeness, modeling of the pipelay vessel, stinger and roller interaction, soil and seabed interaction and environmental loads are discussed.
7

Piehl, Henry, and Ould el Moctar. "A Mathematical Model for Roll Damping Prediction." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41642.

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A ship in seaway is always prone to roll motion. For the safety of personnel, ship and cargo it is essential to optimize the roll damping properties of the hull shape in order to prevent exceeding roll angles. Therefore, a tool for the prediction of roll damping is an important requirement during the design phase of ship hulls. The objective of this study is to use regression analysis and numerical simulation of roll motion to develop an analytic expression for the determination of roll damping. The development procedure starts with a variation of several hull shape parameter that influence the roll damping. For each of the parameter variants, a numerical roll simulation is conducted and the according roll damping coefficients are determined by time series analysis. Finally, regression analysis is applied to the computed results in order to derive a mathematical model that allows to determine the roll damping coefficient depending on the hull shape parameter.
8

Di Giammarco, P., M. Ursino, and E. Belardinelli. "A mathematical model of tissue oxygen pressure time dynamics." In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.94658.

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9

Iskandar, Taufiq, Natasya Ayuningtia Chaniago, Said Munzir, Vera Halfiani, and Marwan Ramli. "Mathematical model of tuberculosis epidemic with recovery time delay." In INTERNATIONAL CONFERENCE AND WORKSHOP ON MATHEMATICAL ANALYSIS AND ITS APPLICATIONS (ICWOMAA 2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5016655.

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10

Khoo, Wooi Chen, and Seng Huat Ong. "A mixed time series model of binomial counts." In THE 22ND NATIONAL SYMPOSIUM ON MATHEMATICAL SCIENCES (SKSM22): Strengthening Research and Collaboration of Mathematical Sciences in Malaysia. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4932492.

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Звіти організацій з теми "Mathematical model of tire":

1

Pokorny, Richard, and Pavel R. Hrma. Mathematical Model of Cold Cap?Preliminary One-Dimensional Model Development. Office of Scientific and Technical Information (OSTI), March 2011. http://dx.doi.org/10.2172/1012879.

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2

Buchanan, C. R., and M. H. Sherman. A mathematical model for infiltration heat recovery. Office of Scientific and Technical Information (OSTI), May 2000. http://dx.doi.org/10.2172/767547.

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3

Preto, F. A mathematical model for fluidized bed coal combustion. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1985. http://dx.doi.org/10.4095/302616.

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4

Goryca, Jill E. Force and Moment Plots from Pacejka 2002 Magic Formula Tire Model Coefficients. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada535124.

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5

McWilliams, Jennifer, and Melanie Jung. Development of a Mathematical Air-Leakage Model from MeasuredData. Office of Scientific and Technical Information (OSTI), May 2006. http://dx.doi.org/10.2172/883786.

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6

Schneider, Michael L., and Richard E. Price. Temperature Analysis: Howard A. Hanson Reservoir, Washington. Mathematical Model Investigation. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada200228.

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7

Smith, F. G. III. Mathematical model of the Savannah River Site waste tank farm. Office of Scientific and Technical Information (OSTI), July 1991. http://dx.doi.org/10.2172/5788555.

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8

Smith, F. G. III. Mathematical model of the Savannah River Site waste tank farm. Office of Scientific and Technical Information (OSTI), July 1991. http://dx.doi.org/10.2172/10131180.

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9

Haga, Hitoshi. Evaluation Method for Road Load Simulation~Load Prediction for Durability Using a Tire Model. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0130.

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10

De Silva, K. N. A mathematical model for optimization of sample geometry for radiation measurements. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1988. http://dx.doi.org/10.4095/122732.

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