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Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Elasticity.'
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Rajagopal, K. R. "The elasticity of elasticity." Zeitschrift für angewandte Mathematik und Physik 58, no. 2 (December 18, 2006): 309–17. http://dx.doi.org/10.1007/s00033-006-6084-5.
Böhmer, CG, and N. Tamanini. "Rotational elasticity and couplings to linear elasticity." Mathematics and Mechanics of Solids 20, no. 8 (November 29, 2013): 959–74. http://dx.doi.org/10.1177/1081286513511093.
Arnold, Douglas N., and Philippe G. Ciarlet. "Mathematical Elasticity, Volume I: Three-Dimensional Elasticity." Mathematics of Computation 52, no. 186 (April 1989): 715. http://dx.doi.org/10.2307/2008488.
Scheibner, Colin, Anton Souslov, Debarghya Banerjee, Piotr Surówka, William T. M. Irvine, and Vincenzo Vitelli. "Odd elasticity." Nature Physics 16, no. 4 (March 2, 2020): 475–80. http://dx.doi.org/10.1038/s41567-020-0795-y.
Bosher, Simon Henry Bruce. "Non-linear elasticity theory." Thesis, Queen Mary, University of London, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.407883.
The interfaces of bubbles and droplets imbue foams and emulsions with extraordinary mechanical and chemical properties. The remarkably large interfacial area of these structures controls their thermodynamics and makes them practical and functional materials. When these interfaces are forced to touch, they can turn a dispersion of one fluid in another into a solid. These solid-like properties are evident in common household products such as shaving foam and mayonnaise, and our ability to control the fluid and solid properties of these materials is essential to their function. Physics
Demand shows the quantity of product, that people can and want to buy for this price. Demand determined by the solvent needs of buyers. It graphing, that shows such quantity of product, that needs demand at different prices and such quantity that consumers will buy at different prices.
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Cousins, Christopher Stanley George. "Inner elasticity and the higher-order elasticity of some diamond and graphite allotropes." Thesis, University of Exeter, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342008.
Mlčkovský, Petr. "Estimace determinant poptávky po příměstské vlakové dopravě v České republice." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-124983.
This thesis analyzes railway demand and its determinants in the context of regional railway passenger transport in the Czech Republic and Prague suburban railway system. Special attention is devoted to examining the impact of new trains on the demand for the selected route of Jizerskohorské Railway. In particular models, I utilize as estimation procedure and difference-in-differences estimator. Panel data analysis found, in line with other published studies, short-run inelastic nature of demand. In order to increase revenue to railway operator, one must distinguish between a group of dependent and discretionary riders whose elasticity is different. Effect of buying new trains can be substantial, especially on less frequented routes with a greater proportion of private car holders.
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Abeysekera, Jeffrey Michael. "Three dimensional ultrasound elasticity imaging." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57462.
Changes in tissue elasticity are correlated with certain pathological changes, such as localized stiffening of malignant tumours or diffuse stiffening of liver fibrosis or placenta dysfunction. Elastography is a field of medical imaging that characterizes the mechanical properties of tissue, such as elasticity and viscosity. The elastography process involves deforming the tissue, measuring the tissue motion using an imaging technique such as ultrasound or magnetic resonance imaging (MRI), and solving the equations of motion. Ultrasound is well suited for elastography, however, it presents challenges such as anisotropic measurement accuracy and providing two dimensional (2D) measurements rather than three dimensional (3D). This thesis focuses on overcoming some of these limitations by improving upon methods of imaging absolute elasticity using 3D ultrasound. In this thesis, techniques are developed for 3D ultrasound acquired from transducers fitted with a motor to sweep the image plane, however many of the techniques can be applied to other forms of 3D acquisition such as matrix arrays. First, a flexible framework for 3D ultrasound elastography system is developed. The system allows for comparison and in depth analysis of errors in current state of the art 3D ultrasound shear wave absolute vibro-elastography (SWAVE). The SWAVE system is then used to measure the viscoelastic properties of placentas, which could be clinically valuable in diagnosing preeclampsia and fetal growth restriction. A novel 3D ultrasound calibration technique is developed which estimates the transducer motor parameters for accurate determination of location and orientation of every data sample, as well as for enabling position tracking of a 3D ultrasound transducer so multiple volumes can be combined. Another calibration technique using assumed motor parameters is developed, and an improvement to an existing N-wire method is presented. The SWAVE research system is extended to measure shear wave motion vectors with a new acquisition scheme to create synchronous volumes of ultrasound data. Regularization based on tissue incompressibility is used to reduce noise in the motion measurements. Lastly, multiple ultrasound volumes from different angles are combined for measurement of the full motion vector, and demonstrating accurate reconstructions of elasticity are feasible using the techniques developed in this thesis. Applied Science, Faculty of Mechanical Engineering, Department of Graduate
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Maudarbocus, Sara. "Multipole Algorithms in Harmonic Elasticity." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523745.
The demand for renewable load-carrying materials is increasing with increasing environmental awareness. Alternative sources for materials manufacturing and design have to be investigated in order to replace the non-biodegradable materials. The work presented in this thesis investigates structure-property relations of such renewable materials based on cellulose nanofibrils. Cellulose is the most abundant polymer on earth and exists in both ordered and disordered phases, where the ordered crystalline cellulose shows excellent mechanical properties. The celluloses nanofibril is composed of partly crystalline cellulose where the stiff crystal regions, or crystallites, are orientated in the axial direction of the fibrils. The cellulose nanofibrils have a high aspect ratio, i.e. length to diameter ratio, with a diameter of less than 100 nm and a length of some micrometres. In the presented work, different properties of the cellulose nanofibril were studied, e.g. elastic properties, structure, and its potential as a reinforcement constituent. The properties and behaviour of the fibrils were studied with respect to different length scales, from the internal structure of the cellulose nanofibril, based on molecular dynamic simulations, to the macroscopic properties of cellulose nanofibril based materials. Films and composite materials with in-plane randomly oriented fibrils were produced. Properties of the cellulose nanofibril based materials, such as stiffness, thickness variation, and fibril orientation distribution, were investigated, from which the effective elastic properties of the fibrils were determined. The studies showed that a typical softwood based cellulose nanofibril has an axial stiffness of around 65 GPa. The properties of the cellulose nanofibril based materials are highly affected by the dispersion and orientation of the fibrils. To use the full potential of the stiff fibrils, well dispersed and oriented fibrils are essential. The orientation distribution of fibrils in hydrogels subjected to a strain was therefore investigated. The study showed that the cellulose nanofibrils have high ability to align, where the alignment increased with increased applied strain.
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Davies, Penny J. "Stability problems in nonlinear elasticity." Thesis, Heriot-Watt University, 1987. http://hdl.handle.net/10399/1020.
Ciarlet, Philippe G. Mathematical Elasticity: Three-Dimensional Elasticity. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976786.
Goyal, Prateesh, Akshay Narayan, Frank Cangialosi, Deepti Raghavan, Srinivas Narayana, Mohammad Alizadeh, and Hari Balakrishnan. "Elasticity Detection." In ANRW '18: Applied Networking Research Workshop. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3232755.3232772.
Chilipirea, Cristian, Alexandru Constantin, Dan Popa, Octavian Crintea, and Ciprian Dobre. "Cloud Elasticity." In PODC '16: ACM Symposium on Principles of Distributed Computing. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2962564.2962570.
Melchert, O., S. Willms, I. Babushkin, B. Roth, G. Steinmeyer, U. Morgner, and A. Demircan. "Soliton elasticity." In CLEO: QELS_Fundamental Science. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/cleo_qels.2019.ff1d.4.
Goyal, Prateesh, Akshay Narayan, Frank Cangialosi, Srinivas Narayana, Mohammad Alizadeh, and Hari Balakrishnan. "Elasticity detection." In SIGCOMM '22: ACM SIGCOMM 2022 Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544216.3544221.
Mera-Gómez, Carlos, Rami Bahsoon, Rajkumar Buyya, and Escuela Superior Politécnica. "Elasticity debt." In UCC '16: 9th International Conference on Utility and Cloud Computing. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2996890.2996904.
Mariani, Stefano, Hong-Linh Truong, Georgiana Copil, Andrea Omicini, and Schahram Dustdar. "Coordination-Aware Elasticity." In 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC). IEEE, 2014. http://dx.doi.org/10.1109/ucc.2014.59.
O'Donnell, M., S. Y. Emelianov, A. R. Skovoroda, M. A. Lubinski, W. F. Weitzel, and R. C. Wiggins. "Quantitative elasticity imaging." In 1993 IEEE Ultasonics Symposium. IEEE, 1993. http://dx.doi.org/10.1109/ultsym.1993.339662.
Funaro, Liran, Orna Agmon Ben-Yehuda, and Assaf Schuster. "Memory Elasticity Benchmark." In SYSTOR '20: The 13th ACM International Systems and Storage Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3383669.3398277.
Lipkin, Harvey, and Timothy Patterson. "Geometrical Properties of Modelled Robot Elasticity: Part II — Center of Elasticity." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0214.
Abstract The elastic characteristics of many robot systems can be modeled by a 6 × 6 stiffness or compliance matrix. Several new and important results are presented via screw theory: i) A generalized center-of-elasticity is proposed based on Ball’s (1900) principal screws and its properties are investigated, ii) If a compliant axis exists, it is shown to pass through the center. iii) The perpendicular vectors from the center to the wrench-compliant axes are coplanar and sum to zero. A similar result holds for the twist-compliant axes, iv) Linear and rotational properties are characterized by dual ellipsoids in three-dimensional space. These elements simplify the understanding of complex elastic properties.
Reports on the topic "Elasticity":
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Hendren, Nathaniel. The Policy Elasticity. Cambridge, MA: National Bureau of Economic Research, June 2013. http://dx.doi.org/10.3386/w19177.
Shen, B. W., F. J. Stevens, U. Luthi, and S. B. Goldin. Structural basis of spectrin elasticity. Office of Scientific and Technical Information (OSTI), October 1991. http://dx.doi.org/10.2172/10148966.
Wallin, M., and D. A. Tortorelli. Topology optimization beyond linear elasticity. Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1581880.
Hansen, Michael L., and Jennie W. Wenger. Why Do Pay Elasticity Estimates Differ? Fort Belvoir, VA: Defense Technical Information Center, March 2002. http://dx.doi.org/10.21236/ada407366.
Slemrod, Joel, and Wojciech Kopczuk. The Optimal Elasticity of Taxable Income. Cambridge, MA: National Bureau of Economic Research, September 2000. http://dx.doi.org/10.3386/w7922.
Feenstra, Robert, Philip Luck, Maurice Obstfeld, and Katheryn Russ. In Search of the Armington Elasticity. Cambridge, MA: National Bureau of Economic Research, April 2014. http://dx.doi.org/10.3386/w20063.
Simonovska, Ina, and Michael Waugh. The Elasticity of Trade: Estimates and Evidence. Cambridge, MA: National Bureau of Economic Research, February 2011. http://dx.doi.org/10.3386/w16796.
Li, Zhilin, and Xingzhou Yang. An Immersed FEM for Elasticity Equations With Interfaces. Fort Belvoir, VA: Defense Technical Information Center, August 2004. http://dx.doi.org/10.21236/ada443789.
Puso, M. Mechanistic Constitutive Models for Rubber Elasticity and Viscoelasticity. Office of Scientific and Technical Information (OSTI), January 2003. http://dx.doi.org/10.2172/15004918.
Fujita, K. Sydny. Estimating Price Elasticity using Market-Level Appliance Data. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1236368.
