Relevant bibliographies by topics / Rigid model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rigid model'

Author: Grafiati
Published: 3 November 2023

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Journal articles on the topic "Rigid model"

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Miškinis, P., and G. Karlikauskas. "Rigid surface bag model." Nuclear Physics A 683, no. 1-4 (February 2001): 339–58. http://dx.doi.org/10.1016/s0375-9474(00)00442-5.

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Chelushkin, Ilya, and Albert Burhanuddinov. "Model of junctioning rigid and non-rigid road pavement." IOP Conference Series: Materials Science and Engineering 890 (August 13, 2020): 012034. http://dx.doi.org/10.1088/1757-899x/890/1/012034.

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Siddharthan, Raj, Samia Ara, and Gary M. Norris. "Simple Rigid Plastic Model for Seismic Tilting of Rigid Walls." Journal of Structural Engineering 118, no. 2 (February 1992): 469–87. http://dx.doi.org/10.1061/(asce)0733-9445(1992)118:2(469).

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Lück, Reinhard. "A Rigid Generalisation of the Association Model / A Rigid Generalisation of the Association Model." International Journal of Materials Research 80, no. 10 (October 1, 1989): 719–22. http://dx.doi.org/10.1515/ijmr-1989-801006.

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Sharma, Sunil Kumar, Rakesh Chandmal Sharma, Yeongil Choi, and Jaesun Lee. "Experimental and Mathematical Study of Flexible–Rigid Rail Vehicle Riding Comfort and Safety." Applied Sciences 13, no. 9 (April 22, 2023): 5252. http://dx.doi.org/10.3390/app13095252.

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This paper analyses the dynamic behavior of a rail vehicle using experimental and simulation analysis on a multi-rigid–flex body model. The mathematical models are developed considering the car body, bogie frame, and wheel axle for rail vehicles of rigid–flexible and multi-rigid formulations, taking the car body as rigid for the rigid body analysis and the flexible car body for flex–rigid analysis. A finite element model of the car body was developed in ANSYS, and substructure and modal analyses were performed. The mathematical model is validated through an experiment conducted by the Research Design and Standards Organization. Then, the validated model is further analyzed to evaluate the running comfort, using the Sperling ride index and the running safety, by investigating the derailment coefficient and wheel load reduction rate. The impact of flexibility on the vehicle’s running stability is investigated using the rigid body dynamics model and experimental data. Compared to experimental data, the simulation results reveal that elastic vibration cannot be neglected in vehicle dynamics, since the rigid–flexible coupling model is slightly more significant than the rigid-body model for ride comfort and safety.
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Bratu, Polidor, and Ovidiu Vasile. "Viscoelastic Model for the Rigid Body Vibrations of a Viaduct Depending on the Support Devices’ Rheological Model." Romanian Journal of Transport Infrastructure 2, no. 2 (December 1, 2013): 1–10. http://dx.doi.org/10.1515/rjti-2015-0014.

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Rezumat Lucrarea abordează comportarea unui model de solid-rigid cu anumite simetrii structurale. Aceste simetrii permit simplificarea calculelor (ecuaţii de mişcare) şi, deci, a modelelor matematice. Dacă solidul rigid este conectat la structură prin patru legături elastice, modelul rămâne încă simplu şi uşor de rezolvat, vibraţiile putând fi decuplate în patru subsisteme de mişcare. În final, se prezintă un studiu de caz pentru analiza modală a unui viaduct, modelat precum un corp solid-rigid, rezemat elastic, de pe autostrada Transilvania (km 29+602.75 m).
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Kang, Jaeyoung. "Squeal propensity due to rigid modes of brake pad." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 12 (December 2, 2013): 2100–2109. http://dx.doi.org/10.1177/0954406213515200.

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This paper examines the squeal propensity associated with the rigid motion of a brake pad. For the description of the rigid motion, the brake pad is analytically modeled as a composite annular sector plate with both the back plate and friction material rigid. The friction material is subject to friction contact with a rotating disc. The vibration modes of the rigid pad consist of the six rigid modes including three rotation and three translation modes coupled with contact stiffness. The analytical formulation for the dynamic motion of the composite rigid pad is presented. From the numerical calculation, the rigid pad modes are shown to be coupled with one another and thus generate the modal instability in both finite element full model and simplified pad model. It is suggested that the squeal propensity of the rigid pad modes can be estimated by using the simplified pad model and controlled by the certain design modification such as the contact area.
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Fan, Hong Chao, Feng Lian Niu, and Rong Liang. "Rigid Body Orientation Analysis Model Based on Stereo Vision." Applied Mechanics and Materials 707 (December 2014): 372–76. http://dx.doi.org/10.4028/www.scientific.net/amm.707.372.

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In order to satisfy the orientation measuring requirements of rigid-body such as work piece, cutting tool in industry, the paper presents a binocular vision detection technique based on spatial position information of markers to extract rigid-body pose information and analyzes the pose accuracy of rigid-body using the principal component analysis (PCA) when spatial position error of markers exist. The simulation experiment demonstrates the maximum angle error of orientation is about 0.59 degree when the position error of markers satisfy the Gaussian distribution with the mean is zero and the standard deviation is 0~3mm. The experimental results verify this method can robustly solve the orientation of rigid body using the position information of markers with position errors, and it provides a theoretical and experimental basis for orientation measurement of rigid body.
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Hu, Wengang, and Na Liu. "Comparisons of finite element models used to predict bending strength of mortise-and-tenon joints." BioResources 15, no. 3 (June 10, 2020): 5801–11. http://dx.doi.org/10.15376/biores.15.3.5801-5811.

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This study aimed to obtain a better method for establishing a finite element model of mortise-and-tenon (M-T) joints. Three types of M-T joint finite element models, which included a whole rigid model, a tie rigid model, and a semi-rigid model, were established and compared with experimental results by predicting the bending moment capacity (BMC) of M-T joints based on the finite element method (FEM). The results showed that the semi-rigid model performed much better than the tie rigid model, followed by the whole rigid model. For the semi-rigid model, the ratios of FEM ranged from 0.85 to 1.09. For the whole rigid model and tie rigid model, the BMC of the M-T joint was overestimated. In addition, the results showed that tenon size remarkably affected the BMC and stiffness of the M-T joint, and tenon width had a greater effect on the BMC of the M-T joint than the tenon length.
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Devi, Jyoti, Veena Sharma, and Mohini Kapalta. "Electroconvection in Rotating Jeffrey Nanofluid Saturating Porous Medium: Free–Free, Rigid-Free, Rigid–Rigid Boundaries." Journal of Nanofluids 12, no. 6 (June 1, 2023): 1554–65. http://dx.doi.org/10.1166/jon.2023.2039.

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The impact of rotation and the boundaries on the initiation of convective instability in a rheological nanofluid layer heated beneath saturated by a porous media with the inclusion of an AC electric field (vertical) is studied employing linear stability analysis. The stationary convective stability of rheological nanofluid is customarily established utilizing Buongiorno model for nanoparticles and Jeffrey model for rheological behavior of regular fluid. The Buongiorno model deployed for nanofluids incorporates the influence of thermophoresis and Brownian motion. Using the normal mode technique, the set of coupled differential equations is solved analytically for both stress-free boudaries and numerically by using the Galerkin-type Weighted Residual Method (GWRM) for top-free, bottom-rigid and rigid–rigid bounding surfaces. The numerical computed values of stationary thermal Rayleigh number are presented graphically for three distinct combinations of boundary conditions. The Taylor number accounting for rotation parameter, Jeffrey parameter, and nanofluid Lewis number delay the start of stationary convection, whereas electric field and concentration Rayleigh number destabilize a system for three groups of boundaries. The bottom-/top-heavy nanofluids are found to be more/less stable. Rigid–rigid boundaries augment the stability in a more pronounced manner than that of the stress-free and rigid-free boundaries. The conditions for non-occurrence of over stability are also derived. This study is of great significance in many metallurgical processes including megma flow, deep convective chimneys, polymer solutions, microfluidic devices and blood flow in micro circulatory systems. An excellent coincidence is found admist present paper and the earlier published work.
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Dissertations / Theses on the topic "Rigid model"

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Lee, Jongsoo. "Facet model optic flow and rigid body motion." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53885.

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The dissertation uses the facet model technique to compute the optic flow field directly from a time sequence of image frames. Two techniques, an iterative and a non-iterative one, determine 3D motion parameters and surface structure (relative depth) from the computed optic flow field. Finally we discuss a technique for the image segmentation based on the multi-object motion using both optic flow and its time derivative. The facet model technique computes optic flow locally by solving over-constrained linear equations obtained from a fit over 3D (row, column, and time) neighborhoods in an image sequence. The iterative technique computes motion parameters and surface structure using each to update the other. This technique essentially uses the least square error method on the relationship between optic flow field and rigid body motion. The non-iterative technique computes motion parameters by solving a linear system derived from the relationship between optic flow field and rigid body motion and then computes the relative depth of each pixel using the motion parameters computed. The technique also estimates errors of both the computed motion parameters and the relative depth when the optic flow is perturbed.
Ph. D.
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Schestowitz, Samuel. "Unifying models and registration : a framework for model-based registration and non-rigid registration assessment." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509887.

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Lin, Cong. "Non-rigid visual object tracking with statistical learning of appearance model." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691900.

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Black, Christopher Lee Carleton University Dissertation Engineering Aerospace. "CF-18 tail buffet prediction based on rigid model pressure data." Ottawa, 1993.

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Hall, Anthony R. "The Pseudo-Rigid-Body Model for Fast, Accurate, Non-Linear Elasticity." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3869.

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We introduce to computer graphics the Pseudo-Rigid-Body Mechanism (PRBM) and the chain algorithm from mechanical engineering, with a unified tutorial from disparate source materials. The PRBM has been used successfully to simplify the simulation of non-linearly elastic beams, using deflections of an analogous spring and rigid-body linkage. It offers computational efficiency as well as an automatic parameterization in terms of physically measurable, intuitive inputs which fit naturally into existing animation work flows for character articulation. The chain algorithm is a technique for simulating the deflection of complicated elastic bodies in terms of straight elastic elements, which has recently been extended to incorporate PRBM beam-elements in three dimensions. We present a new, mathematically equivalent optimization of the 3D PRBM chain algorithm, from its former asymptotic complexity of O(n^2) in the number of elements n, to O(n). We also extend an existing PRBM for combined moment-force loads to 3D, where the existing 3D PRBM chain algorithm was limited to 3D PRBM elements for a moment-only load. This optimization and extension are validated by duplicating prior experimental results, but substituting the new optimization and combined-load elements. Finally, a loose road-map is provided with several key considerations for future extension of the techniques to dynamic simulations.
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Fedotov, IA, AD Polyanin, and MY Shatalov. "Theory of Free and Forced Vibrations of a Rigid Rod Based on the Rayleigh Model." Pleaides Publishing LTD, 2007. http://encore.tut.ac.za/iii/cpro/DigitalItemViewPage.external?sp=1001012.

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We consider one-dimensional longitudinal vibrations of a rigid rod with a nonuniform cross-section, fixed at its ends with lumped masses and springs. The cross-section inertia effects are taken into account on the basis of the Rayleigh theory. The equation of motion and the boundary conditions are derived from Hamilton’s variational principle. The characteristic equation is constructed and the eigenvalues for the harmonic vibrations of the rod are calculated. It is shown that the eigenvalues are bounded from above. Two types of the orthogonality of the eigenfunctions corresponding to the eigenvalues are discussed. The Green function is constructed for the problem of forced vibrations of the rod governed by a linear fourth-order partial differential equation, which involves mixed derivatives. Exact solutions of the rod vibration problems are found for rods with constant and conical cross-sections. Rigid isotropic waveguides are often used for generating, transmitting, and amplifying mechanical vibrations, for example, in acoustic transducers. Theoretical investigation of acoustic, mechanical, and electromagnetic waveguides is usually based on the analysis of second-order wave equations. This approach is justified in descriptions of the wave propagation in relatively thin and long rigid rods. As was shown by Rayleigh [1], the error due to the neglect of the transverse motion of the rod is proportional to the square of the ratio of the characteristic section radius to the length of the rod (aspect ratio). For a more accurate analysis of the longitudinal vibrations of a relatively thick and short rod, the rod deformation in the transverse direction must also be taken into account. The approach to the analysis of the vibrations of a thick and short rod used in this study is based on the theory of longitudinal vibrations of a rod, in which the effects due to the transverse motion are taken into account (the corresponding mathematical model is called the Rayleigh rod). The equation of motion and the boundary conditions for the onedimensional longitudinal vibrations of the Rayleigh rod with variable cross section and ends fixed by means of lumped masses and springs are derived from Hamilton’s variational principle. As a result, we arrive at a linear fourth-order partial differential equation with variable coefficients, which involves mixed derivatives. Previously, approximate analytical methods, such as the Galerkin method [2] and the method based on the expansion of the solution in a power series in the Poisson coefficient [3], were used for solving this equation. The frequencies of the natural vibrations of a cylindrical rod with rigidly fixed ends were determined in [4, pp. 159, 160]. In this study we use the method of the separation of variables based on the exact solutions of the equations of motion of the Rayleigh rod, which makes it possible to construct the Green function. A similar approach to an analysis of the longitudinal vibrations of stepped rigid waveguides described by second-order wave equations was applied in [5, 6].
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Fischli, Simon. "Simulation of wrist kinematics on the basis of a rigid body spring model." Thesis, Kingston, Ont. : [s.n.], 2007. http://hdl.handle.net/1974/668.

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Khanse, Karan Rajiv. "Development and Validation of a Tool for In-Plane Antilock Braking System (ABS) Simulations." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/56567.

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Automotive and Tire companies spend extensive amounts of time and money to tune their products through prototype testing at dedicated test facilities. This is mainly due to the limitations in the simulation capabilities that exist today. With greater competence in simulation, comes more control over designs in the initial stages, which in turn lowers the demand on the expensive stage of tuning. The work presented, aims at taking today's simulation capabilities a step forward by integrating models that are best developed in different software interfaces. An in-plane rigid ring model is used to understand the transient response of tires to various high frequency events such as Anti-Lock Braking and short wavelength road disturbances. A rule based ABS model performs the high frequency braking operation. The tire and ABS models have been created in the Matlab-Simulink environment. The vehicle model has been developed in CarSim. The models developed in Simulink have been integrated with the vehicle model in CarSim, in the form of a design tool that can be used by tire as well as vehicle designers for further tuning of the vehicle functional performances as they relate to in-line braking scenarios. Outdoor validation tests were performed to obtain data from a vehicle that was measured on a suspension parameter measuring machine (SPMM) in order to complement this design tool. The results of the objective tests performed have been discussed and the correlations and variations with respect to the simulation results have been analyzed.
Master of Science
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Yildiz, Ersan. "Lateral Pressures On Rigid Retaining Walls : A Neural Network Approach." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1264415/index.pdf.

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Lateral pressures on non-yielding walls due to surface strip loads were investigated considering the non-linear stress-strain behaviour of the soil by finite element analyses. Data obtained from the finite element analyses were used to train neural networks in order to obtain a solution to assess the total lateral thrust and its point of application on a non-yielding wall due to a strip load. A 2-layered backpropogation type neural network was used. An artificial neural network solution was obtained, as a function of six parameters including the shear strength parameters of the soil ( cohesion and angle of friction ). The effects of each input parameter on the lateral thrust and point of application were summarized and the results were compared with the conventional linear elastic solution.
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Jones, Garrett D. "Semi-rigid towing model for analysis of maneuvering in the horizontal plane." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2001. http://handle.dtic.mil/100.2/ADA397072.

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Thesis (M.S. in Mechanical Engineering) Naval Postgraduate School, Sept. 2001.
Thesis advisor, Papoulias, Fotis A. "September 2001." Includes bibliographical references (p. 47). Also Available in print.
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Books on the topic "Rigid model"

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Lepetit, Vincent. Monocular model-based 3D tracking of rigid objects. Boston, MA: NOW Publishers, 2005.

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Schuster, D. M. Transonic dynamics tunnel force and pressure data acquired on the HSR rigid semispan model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center ; a Springfield, VA, 1999.

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D, Rausch Russ, and Langley Research Center, eds. Transonic dynamics tunnel force and pressure data acquired on the HSR rigid semispan model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center ; a Springfield, VA, 1999.

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Bediz, Mehmet. A computer simulation study of a single rigid body dynamic model for biped postural control. Monterey, Calif: Naval Postgraduate School, 1997.

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Takahashi, Marc D. A flight-dynamic helicopter mathematical model with a single flap-lag-torsion main rotor. Moffett Field, Calif: NASA Ames Research Center, 1990.

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Center, Ames Research, and United States. Army Aviation Research and Technology Activity., eds. A flight-dynamic helicopter mathematical model with a single flap-lag-torsion main rotor. Moffett Field, Calif: NASA Ames Research Center, 1990.

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Almgren, Martir. Scale model simulation of sound propagation considering sound speed gradients and acoustic boundary layers at a rigid surface. Göteberg: Bibliotekets Reproservice, 1986.

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Ganguly, D. K. Art of cross-examination: Civil & criminal, with model forms : a closer and rigid examination of witness by the opposing council. Allahabad: Dwivedi Law Agency, 2007.

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El-Habash, N. A. Crash III model improvements: MRB-to-car side impact test of a 90ê moving rigid barrier to a 1981 Chevrolet Citation test speed 35.2 mph. [Washington, D.C.]: National Highway Traffic Safety Administration, 1987.

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Habash, N. A. Crash III model improvements: MRB-to-car side impact test of a 90 ̊moving rigid barrier to a 1981 Chevrolet Citation test speed 35.2 mph. [Washington, D.C.]: National Highway Traffic Safety Administration, 1987.

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Book chapters on the topic "Rigid model"

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Lliboutry, Louis A. "The rigid-plastic model." In Mechanics of Fluids and Transport Processes, 379–410. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3563-1_14.

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Bebernes, Jerrold, and David Eberly. "The Rigid Ignition Model." In Mathematical Problems from Combustion Theory, 47–86. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-4546-9_3.

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Olguín Díaz, Ernesto. "Model Reduction Under Motion Constraint." In 3D Motion of Rigid Bodies, 331–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04275-2_8.

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Hahn, Hubert. "Model equations of planar and spatial joints." In Rigid Body Dynamics of Mechanisms, 171–237. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04831-3_5.

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Hahn, Hubert. "Model equations in symbolic DAE and DE form." In Rigid Body Dynamics of Mechanisms, 9–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-09769-4_2.

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Rigatos, Gerasimos, and Krishna Busawon. "Rigid-Link Manipulators: Model-Based Control." In Studies in Systems, Decision and Control, 1–63. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77851-8_1.

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Rigatos, Gerasimos, and Krishna Busawon. "Rigid-Link Manipulators: Model-Free Control." In Studies in Systems, Decision and Control, 161–220. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77851-8_3.

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Lai, Tzung-Heng, Te-Hsun Wang, and Jenn-Jier James Lien. "Incremental Perspective Motion Model for Rigid and Non-rigid Motion Separation." In Advances in Image and Video Technology, 613–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77129-6_53.

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Wesierski, Daniel, Grzegorz Wojdyga, and Anna Jezierska. "Instrument Tracking with Rigid Part Mixtures Model." In Computer-Assisted and Robotic Endoscopy, 22–34. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29965-5_3.

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Lourakis, Manolis, and Xenophon Zabulis. "Model-Based Pose Estimation for Rigid Objects." In Lecture Notes in Computer Science, 83–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39402-7_9.

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Conference papers on the topic "Rigid model"

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Baltrusaitis, T., P. Robinson, and L. Morency. "3D Constrained Local Model for rigid and non-rigid facial tracking." In 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2012. http://dx.doi.org/10.1109/cvpr.2012.6247980.

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Reid, Adam C., Moustafa El-Gindy, Fredrik Oijer, and David Philipps. "Development of a Wide Base Rigid Ring Tire Model for Rigid Surfaces." In SAE 2015 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-01-0626.

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Sadati, S. M. Hadi, Steffen Zschaler, and Christos Bergeles. "A Matlab-Internal DSL for Modelling Hybrid Rigid-Continuum Robots with TMTDyn." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00086.

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Wang, Yijia. "Analysis of Vehicle Sperling Index Compared with the Flexible-rigid Coupled Model and Multi-body Rigid Model." In 7th International Conference on Management, Education, Information and Control (MEICI 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/meici-17.2017.50.

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Zub, Stanislav. "Mathematical model of magnetically interacting rigid bodies." In XII Advanced Computing and Analysis Techniques in Physics Research. Trieste, Italy: Sissa Medialab, 2009. http://dx.doi.org/10.22323/1.070.0116.

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Guruprasad, K. R., and Ashitava Ghosal. "Model Reference Learning Control for Rigid Robots." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8659.

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Abstract The equations of motion of a rigid robot are often known only approximately, as some of the parameters are not known exactly and there are also unmodelled nonlinearities. Most adaptive control schemes can estimate the parameters if the structure of the equations is known, but are not very useful if structure itself is not known. In this paper we propose a model reference learning control scheme using Adaptive Network based Fuzzy Inference System (ANFIS) for control of rigid robots whose model may have parametric and structural uncertainties. The approximate model of a robot, which may differ very significantly from the actual robot in parametric values and structure, is used as a reference plant and a nonlinear model based controller is designed based on this model. The ANFIS corrector provides an additional correction to control input as a function of the present and desired states of the plant. The error between states of plant and that of reference plant is used to tune the ANFIS corrector. The proposed control scheme has been implemented for a two-degree-of-freedom serial rigid robot. The results of the simulation experiments carried out show that the proposed control scheme can learn to control the unmodelled dynamics. The ANFIS controller is shown to give improved performance for parameter as well as structural uncertainties.
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MacMillin, Peter, and John Hauser. "Development and exploration of a Rigid Motorcycle model." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400360.

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Bronte, S., M. Paladini, L. M. Bergasa, L. Agapito, and R. Arroyo. "Real-time sequential model-based non-rigid SFM." In 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE, 2014. http://dx.doi.org/10.1109/iros.2014.6942684.

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Coutinho, I., L. F. Vales, and C. B. S. Vimieiro. "Loads Comparison: Rigid x Flex Truck Mutibody Model." In 24th SAE Brasil International Congress and Display. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-36-0415.

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Saeed, Anjum, Fahad Mumtaz Malik, Hameed Ullah, Zeeshan Ali Akbar, and Naveed Mazhar. "Model-Based Control of Planar Rigid-Flexible Manipulator." In 2019 IEEE 7th Conference on Systems, Process and Control (ICSPC). IEEE, 2019. http://dx.doi.org/10.1109/icspc47137.2019.9068068.

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Reports on the topic "Rigid model"

1

Chu, Peter C., and Chenwu Fan. 3D Rigid Body Impact Burial Prediction Model (IMPACT35). Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada479983.

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2

Neilsen, Michael K., Wei-Yang Lu, William M. Scherzinger, Terry D. Hinnerichs, and Chi S. Lo. Unified Creep Plasticity Damage (UCPD) Model for Rigid Polyurethane Foams. Office of Scientific and Technical Information (OSTI), June 2015. http://dx.doi.org/10.2172/1183947.

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3

Mays, Jimmy W. Synthesis and Properties of Model Graft and Flexible/Semi-Rigid Block Copolymers. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada358036.

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4

First Author = H. Ji, M. Yamada, R. Kulsrud, and N. Pomphrey. Studies of Global Stability of Fluid-reversed Configuration Plasmas using a Rigid Body Model. Office of Scientific and Technical Information (OSTI), April 1998. http://dx.doi.org/10.2172/16753.

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5

Soln, Josip Z., and Judith T. McCullen. Correlation Analysis of VLSTRACK Model Results with Theoretical and Experimental Data for Rigid Sphere Terminal Velocities. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada362519.

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6

Sethi, Saratendu, and Stan Sclaroff. Combinations of Non-Rigid Deformable Appearance Models. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada366984.

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7

Alon, Jonathan, and Stan Sclaroff. Recovery of Piece-Wise Planar and Piece-Wise Rigid Models from Non-Rigid Motion. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada366998.

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8

Shimer, Robert. The Consequences of Rigid Wages in Search Models. Cambridge, MA: National Bureau of Economic Research, February 2004. http://dx.doi.org/10.3386/w10326.

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9

Slawianowski, Jan J., and Agnieszka Martens Martens. Affinely-Rigid Body and Oscillatory Two-Dimensional Models. GIQ, 2015. http://dx.doi.org/10.7546/giq-16-2015-94-109.

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10

Thornell, Travis, Charles Weiss, Sarah Williams, Jennifer Jefcoat, Zackery McClelland, Todd Rushing, and Robert Moser. Magnetorheological composite materials (MRCMs) for instant and adaptable structural control. Engineer Research and Development Center (U.S.), November 2020. http://dx.doi.org/10.21079/11681/38721.

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Abstract:
Magnetic responsive materials can be used in a variety of applications. For structural applications, the ability to create tunable moduli from relatively soft materials with applied electromagnetic stimuli can be advantageous for light-weight protection. This study investigated magnetorheological composite materials involving carbonyl iron particles (CIP) embedded into two different systems. The first material system was a model cementitious system of CIP and kaolinite clay dispersed in mineral oil. The magnetorheological behaviors were investigated by using parallel plates with an attached magnetic accessory to evaluate deformations up to 1 T. The yield stress of these slurries was measured by using rotational and oscillatory experiments and was found to be controllable based on CIP loading and magnetic field strength with yield stresses ranging from 10 to 104 Pa. The second material system utilized a polystyrene-butadiene rubber solvent-cast films with CIP embedded. The flexible matrix can stiffen and become rigid when an external field is applied. For CIP loadings of 8% and 17% vol %, the storage modulus response for each loading stiffened by 22% and 74%, respectively.
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