Dissertations / Theses on the topic 'Mechanical computation'
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Moore, Darren William. "Quantum state reconstruction and computation with mechanical networks." Thesis, Queen's University Belfast, 2017. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.728195.
Full textErhan, Inci. "Quantum Mechanical Computation Of Billiard Systems With Arbitrary Shapes." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/2/1104082/index.pdf.
Full textSu, Yunde. "High-fidelity Computation and Modeling of Turbulent Premixed Combustion." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595513943378125.
Full textUlrich, Karl T. "Computation and Pre-Parametric Design." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/6845.
Full textChen, Chao 1974. "A direct kinematic computation algorithm for all planar 3-legged platforms /." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33962.
Full textPlanar kinematic mapping expresses pole position and rotation angle of a planar displacement as a point in 3-dimensional projective space represented by 4 homogeneous coordinates. This provides a universal tool for kinematic analysis. Its application will be demonstrated in the derivation of a general algorithm for planar DK. For each type of PSGP, the problem is reduced to a 6th order univariate polynomial whose roots reveal all solutions. An example of a PSGP with 6 real assembly configurations is presented. Furthermore, this algorithm was implemented and tested exhaustively. A complete self-contained version, coded in C, is available at http://www.cim.mcgill.ca/∼paul/. It should be easy to customize and adapt to any given real time micro-controller application.
Kalakkad, Jayaraman Suganth Kumar. "Computation of economic rebound effect in different sectors of the U.S. economy." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/46068.
Full textIncludes bibliographical references.
Economic rebound effect is the phenomenon in which price reduction in products and services, induced by energy efficiency increase will cause more consumption leading to an "eat away" of the potential decreases in energy usage. Several researchers have expressed their views on the existence of the effect and the related consequences of such an effect in the micro economic scale. It is recognized that the microeconomic rebound effect will depend on how the price of a good will vary when an efficiency increase is brought about and also on how the quantity consumed may vary when the price changes by a certain amount. A mathematical formulation for this effect is then developed and the two parameters required are found separately for two relevant sectors of the economy. In the first case, the rebound effect is evaluated for the US Aluminum production sector taking into consideration both primary and secondary production. Several models for determining the price elasticity of demand are developed and the share of energy cost in total costs is also found in order to estimate the rebound. The values indicate very low rebound effect in the aluminum industry. A similar trial is conducted for system wide U.S air travel and the rebound estimates are arrived at. Low to moderate take back is observed in this case due to the increased price elasticity unlike the aluminum case where a very low price elasticity of demand pulled down rebound values. In the final sections of the report, discussions including the future trends in rebound effect in the wake of the higher fuel prices and low cost product introduction etc are made. A qualitative description of the macroeconomic rebound effect is also made and conclusions regarding the presence and significance of this effect are drawn. In summarizing it is inferred that even if the rebound effect is statistically significant, it cannot be big enough to completely mask the gains in efficiency improvement. Hence efficiency improvement is inferred as a definite method to decrease energy usage despite the fact that it has its own effectiveness limit set by the rebound.
by Suganth Kumar Kalakkad Jayaraman.
S.M.
Razavi, Seyed Esmail. "Far field boundary conditions for computation of compressible aerodynamic flows." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=28896.
Full textThe proposed FFBC model is implemented in conjunction with an implicit finite-difference flow field solver using an alternating direction implicit (ADI) scheme for solving the Euler equations. The discretized form of the governing equations are solved using a time-marching technique until the steady-state solution is reached. An accurate procedure for the solid boundary treatment was also used.
The proposed FFBC model was used for solving typical problems of confined and external compressible flows in subsonic and transonic regimes. For the transonic regime, the proposed FFBC model has been extended for the case of non-isentrophic outgoing flows, which appear behind the shock waves. The solutions obtained are compared with previous theoretical and numerical results. This comparison shows that the proposed FFBC model can generate accurate solutions using a substantially reduced computational domain, which reduces by an order of magnitude the size of the block tridiagonal matrices to be inverted. This leads to a corresponding improvement in the overall computational efficiency.
Chan, Godine Kok Yan. "Computation of nonlinear hydrodynamic loads on floating wind turbines using fluid-impulse theory." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104254.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 199-202).
Wind energy is one of the more viable sources of renewable energy and offshore wind turbines represent a promising technology for the cost effective harvesting of this abundant source of energy. To capture wind energy offshore, horizontal-axis wind turbines can be installed on offshore platforms and the study of hydrodynamic loads on these offshore platforms becomes a critical issue for the design of offshore wind turbine systems. A versatile and efficient hydrodynamics module was developed to evaluate the linear and nonlinear loads on floating wind turbines using a new fluid-impulse formulation - the Fluid Impulse Theory(FIT). The new formulation allows linear and nonlinear loads on floating bodies to be computed in the time domain, and avoids the computationally intensive evaluation of temporal and spatial gradients of the velocity potential in the Bernoulli equation and the discretization of the nonlinear free surface. The module computes linear and nonlinear loads - including hydrostatic, Froude-Krylov, radiation and diffraction, as well as nonlinear effects known to cause ringing, springing and slow-drift loads - directly in the time domain and a stochastic seastate. The accurate evaluation of nonlinear loads by FIT provides an excellent alternative to existing methods for the safe and cost-effective design of offshore floating wind turbines. The time-domain Green function is used to solve the linear and nonlinear free-surface problems and efficient methods are derived for its computation. The body instantaneous wetted surface is approximated by a panel mesh and the discretization of the free surface is circumvented by using the Green function. The evaluation of the nonlinear loads is based on explicit expressions derived by the fluid-impulse theory, which can be computed efficiently.
by Godine Kok Yan Chan.
Ph. D.
Huang, Geng S. M. Massachusetts Institute of Technology. "Computation of safety control for hybrid system with applications to intersection collision avoidance system." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/101543.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (pages 69-74).
In this thesis, I consider the problem of designing a collision avoidance system for the scenario in which two cars approach an intersection from perpendicular directions. One of the cars is a human driven vehicle, and the other one is a semi-autonomous vehicle, equipped with a driver-assist system. The driver-assist system should warn the driver of the semi-autonomous vehicle to brake or accelerate if potential dangers of collision are detected. Then, if the system detects that the driver disobeys the warning, the system can override the behavior of the driver to guarantee safety if necessary. A hybrid automaton model with hidden modes is used to solve the problem. A disturbance estimator is used to estimate the driver's reaction to the warning. Then, with the help of a mode estimator, the hybrid system with hidden modes is translated to a hybrid system with perfect state information. Finally, we generalize the solution for the application example to the solution of safety control problem for general hybrid system with hidden modes when the hybrid system satisfies some proposed constraints and assumptions.
by Geng Huang.
S.M.
Muñiz, Pablo E. (Muñiz Aponte). "Detection of launch frame in long jump videos using computer vision and discreet computation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123277.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (page 44).
Pose estimation, a computer vision technique, can be used to develop a quantitative feedback training tool for long jumping. Key performance indicators (KPIs) such as launch velocity would allow a long jumping athlete to optimize their technique while training. However, these KPIs need a prior knowledge of when the athlete jumped, referred to as the launch frame in the context of videos and computer vision. Thus, an algorithm for estimating the launch frame was made using the OpenPose Demo and Matlab. The algorithm estimates the launch frame to within 0.8±0.91 frames. Implementing the algorithm into a training tool would give an athlete real-time, quantitative feedback from a video. This process of developing an algorithm to flag an event can be used in other sports as well, especially with the rise of KPIs in the sports industry (e.g. launch angle and velocity in baseball).
by Pablo E. Muniz.
S.B.
S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering
Goldman, Avrum. "Some issues pertaining to computation of flow through large domains linked by a small slot." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=69745.
Full textGupta, Jatin. "Application Of Conjugate Heat Transfer (Cht) Methodology For Computation Of Heat Transfer On A Turbine Blade." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1230064860.
Full textAlrudainy, Haider M. "Non-invasive power gating techniques for bursty computation workloads using micro-electro-mechanical relays." Thesis, University of Newcastle upon Tyne, 2017. http://hdl.handle.net/10443/3818.
Full textChue, Bryan C. "Efficient Hessian computation in inverse problems with application to uncertainty quantification." Thesis, Boston University, 2013. https://hdl.handle.net/2144/21138.
Full textThis thesis considers the efficient Hessian computation in inverse problems with specific application to the elastography inverse problem. Inverse problems use measurements of observable parameters to infer information about model parameters, and tend to be ill-posed. They are typically formulated and solved as regularized constrained optimization problems, whose solutions best fit the measured data. Approaching the same inverse problem from a probabilistic Bayesian perspective produces the same optimal point called the maximum a posterior (MAP) estimate of the parameter distribution, but also produces a posterior probability distribution of the parameter estimate, from which a measure of the solution's uncertainty may be obtained. This probability distribution is a very high dimensional function with which it can be difficult to work. For example, in a modest application with N = 104 optimization variables, representing this function with just three values in each direction requires 3^10000 U+2248 10^5000 variables, which far exceeds the number of atoms in the universe. The uncertainty of the MAP estimate describes the shape of the probability distribution and to leading order may be parameterized by the covariance. Directly calculating the Hessian and hence the covariance, requires O(N) solutions of the constraint equations. Given the size of the problems of interest (N = O(10^4 - 10^6)), this is impractical. Instead, an accurate approximation of the Hessian can be assembled using a Krylov basis. The ill-posed nature of inverse problems suggests that its Hessian has low rank and therefore can be approximated with relatively few Krylov vectors. This thesis proposes a method to calculate this Krylov basis in the process of determining the MAP estimate of the parameter distribution. Using the Krylov space based conjugate gradient (CG) method, the MAP estimate is computed. Minor modifications to the algorithm permit storage of the Krylov approximation of the Hessian. As the accuracy of the Hessian approximation is directly related to the Krylov basis, long term orthogonality amongst the basis vectors is maintained via full reorthogonalization. Upon reaching the MAP estimate, the method produces a low rank approximation of the Hessian that can be used to compute the covariance.
2031-01-01
Shary, Stephen. "Java Simulator of Qubits and Quantum-Mechanical Gates Using the Bloch Sphere Representation." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1298044339.
Full textAdhikari, Sudip. "Accelerating the Computation of Chemical Reaction Kinetics for Modeling Turbulent Reacting Flows." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1510259399348102.
Full textOrselli, Erdem. "Computation Of Drag Force On Single And Close-following Vehicles." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607619/index.pdf.
Full textFluent"
was used and the effects of implementing different turbulence models with wall functions were observed. As a result, an appropriate turbulence model was selected to use in the study. The drag forces, surface pressure distributions and wake formations were investigated in simulation of various test cases available in the literature. The study was extended to simulate the aerodynamics of the vehicles in close-following situation. The results were then compared with available wind tunnel test data.
Sexton, Scott Michael. "Progress Toward Analytic Predictions of Supersonic Hydrocarbon-Air Combustion| Computation of Ignition Times and Supersonic Mixing Layers." Thesis, University of California, San Diego, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10687717.
Full textCombustion in scramjet engines is faced with the limitation of brief residence time in the combustion chamber, requiring fuel and preheated air streams to mix and ignite in a matter of milliseconds. Accurate predictions of autoignition times are needed to design reliable supersonic combustion chambers. Most efforts in estimating non-premixed autoignition times have been devoted to hydrogen-air mixtures. The present work addresses hydrocarbon-air combustion, which is of interest for future scramjet engines.
Computation of ignition in supersonic flows requires adequate characterization of ignition chemistry and description of the flow, both of which are derived in this work. In particular, we have shown that activation energy asymptotics combined with a previously derived reduced chemical kinetic mechanism provides analytic predictions of autoignition times in homogeneous systems. Results are compared with data from shock tube experiments, and previous expressions which employ a fuel depletion criterion.
Ignition in scramjet engines has a strong dependence on temperature, which is found by perturbing the chemically frozen mixing layer solution. The frozen solution is obtained here, accounting for effects of viscous dissipation between the fuel and air streams. We investigate variations of thermodynamic and transport properties, and compare these to simplified mixing layers which neglect these variations. Numerically integrating the mixing layer problem reveals a nonmonotonic temperature profile, with a peak occurring inside the shear layer for sufficiently high Mach numbers.
These results will be essential in computation of ignition distances in supersonic combustion chambers.
Labaki, Wassim. "Computation of free vibration frequencies and mode shapes of cantilever plates with finite discontinuities in properties moving outward from the clamped edge." Thesis, University of Ottawa (Canada), 2001. http://hdl.handle.net/10393/8988.
Full textSharkey, Keeper Layne. "Very Accurate Quantum Mechanical Non-Relativistic Spectra Calculations of Small Atoms & Molecules Employing All-Particle Explicitly Correlated Gaussian Basis Functions." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/560835.
Full textTupek, Michael Ronne. "Lagrangian methods for ballistic impact simulations/." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/69216.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 85-92).
This thesis explores various Lagrangian methods for simulating ballistic impact with the ultimate goal of finding a universal, robust and scalable computational framework to assist in the design of armor systems. An overview is provided of existing Lagrangian strategies including particle methods, meshless methods, and the peridynamic approach. We review the continuum formulation of mechanics and its discretization using finite elements. A rigid body contact algorithm for explicit dynamic finite elements is presented and used to model a rigid sphere impacting a confined alumina tile. The constitutive model for the alumina is provided by the Deshpande-Evans ceramic damage model. These simulations were shown to capture experimentally observed radial crack patterns. An adaptive remeshing strategy using finite elements is then explored and applied, with limited success, to the problem of predicting the transition from dwell to penetration for long-rod penetrators impacting confined ceramic targets at high velocities. Motivated by the difficulties of mesh-based Lagrangian approaches for modeling impact, an alternative Lagrangian approach is investigated which uses established constitutive relations within a particle-based computational framework. The resulting algorithm is based on a discretization of the peridynamic formulation of continuum mechanics. A validating benchmark example using a Taylor impact test is shown and compared to previous results from the literature. Further numerical examples involving ballistic impact and the crushing of an aluminum sandwich structures provide further demonstration of the method's potential for armor applications.
by Michael Ronne Tupek.
S.M.
Losey, Bradley. "Analysis of Magnetic Gear End-Effects to Increase Torque and Reduce Computation Time." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595514209192582.
Full textAL-AZMI, BADER SHABEEB. "ANALYSIS OF TRANSPORT MODELS AND COMPUTATION ALGORITHMS FOR FLOW THROUGH POROUS MEDIA." The Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=osu1051059625.
Full textHayward, Kevin. "Application of evolutionary algorithms to engineering design." University of Western Australia. School of Mechanical Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2009.0018.
Full textWojtacki, Kajetan Tomasz. "Coupling between transport, mechanical properties and degradation by dissolution of rock reservoir." Thesis, Montpellier, 2015. http://www.theses.fr/2015MONTS153/document.
Full textThe aim of this thesis is to analyse evolution of effective mechanical and transport properties of rock aquifer, which is subjected to progressive chemical degradation due to CO2 dissolution. The proposed study focuses on long-term and far field conditions, when degradation of porous matrix can be assumed to be homogeneous at sample scale. It is very well known that morphology of pore network and solid skeleton defines important macroscopic properties of the rock (permeability, stiffness). Therefore, modelling of such porous material should be based on morphological and statistical characterisation of investigated rocks. First of all, in order to obtain statistically equivalent representations of real specimen a reconstruction method inspired by natural process of sandstone formation is adapted. Then the selected generated samples satisfy morphological informations which are extracted by analysing microtomography of the natural rock sample. Secondly, a methodology to estimate effective mechanical properties of investigated material, based directly on binary images, is featured. Effective mechanical behaviour is obtain within the framework of periodic homogenization, However due to lack of geometrical periodicity two different approaches are used (reflectional symmetry of considered RVE and a fixed point method, using additional layer spread over the considered geometry). Evolution of permeability is estimated in classical way using upscaling method in the form of Darcy's law. Finally, chemical dissolution of material is tackled in a simplified way by performing morphological dilation of porous phase. Detailed analysis of chosen morphological descriptors evolution, triggered by modifications of microstructures is provided. The relation between morphological properties – permeability – elastic moduli is also provided. The methodology developed in this work could be easily applied to other heterogeneous materials
Polad, Serkan. "Quantum Mechanical Treatment Of Fullerene-based Systems Doped With Various Metal And Non-metal Elements As Prospective Spin-qubits." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612173/index.pdf.
Full textMitlin, Sergey. "Studies of Interaction of Small Molecules with Water Condensed Media." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/1273.
Full textThe present work reports experimental and theoretical studies of the intermolecular interactions in condensed water media. The chemical objects comprise pristine ice and polar organic substances: acetone, acetaldehyde, methanol and chloroform and bi-component water-organic deposits. The experimental part of the studies includes the Fourier Transform Infrared Reflection Absorption spectral (FTIR RAS) examination of the processes of film growth by vapor deposition on cold metal substrate and subsequent annealing. The theoretical studies include ab initio (MP2) and semi-empirical (B3LYP) calculations on the small water and water-organic clusters and classical molecular dynamics simulations of the adsorption of inert guests (Xe/Rn) on the ice surface. The FTIR RA spectral studies reveal that depending on the deposition conditions condensed water media exist in two principal structural forms: noncrystalline and polycrystalline. The former is characterized by porous structure while the latter exists as a non-porous medium with smooth external interface. On annealing, characteristic spectral changes indicate on a rapid crystallization occurring at a certain temperature range. The initial adsorption of organic molecules is accompanied by the hydrogen-bonded coordination between the functional group of organic species and non-coordinated hydroxyl group of the ice surface, the topology of which depends on the electronic properties of the functional group. The computational studies of small water-organic clusters reveal, in particular, two major coordination minima for carbonyl group: a single hydrogen-bonded in-plane complex and a double hydrogen-bonded in-plane complex. The classical molecular dynamics of Xe/Rn species on the ice interface is consistent with two distinctly different surface adsorption sites: one that delocalized over the entire surface and one that confined to small opening in the top ice layer, disrupted by the thermal molecular motion. The penetration barrier is associated with van der Walls repulsion of guest species from the ordered water hexagonal arrangement. A thermo-disruption of latter leads to a rapid diffusion of guest species inside ice medium.
Singh, Mahendra [Verfasser]. "Quantenmechanische Berechnung der Dispersionsenergie in Fluiden Systemen und Anwendung in Zustandsgleichungen : Quantum Mechanical Computation of the Dispersion Energy in Fluid Systems and Application in Equations of State / Mahendra Singh." Aachen : Shaker, 2010. http://d-nb.info/1120864682/34.
Full textLarson, Rudolph Scott. "Computationally Efficient Modeling of Transient Radiation in a Purely Scattering Foam Layer." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd1871.pdf.
Full textTien, Meng-Hsuan. "Analyzing and Exploiting the Dynamics of Complex Piecewise-Linear Nonlinear Systems." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586039513469825.
Full textMatek, Christian C. A. "Statistical mechanics of nucleic acids under mechanical stress." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:ce44cf50-2001-4f54-8e57-d1757f709fd6.
Full textWu, Fei. "Parallel computational methods for constrained mechanical systems." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282561.
Full textWard, Paul. "A computational and experimental study on respiratory oscillation mechanics for the control of mechanical ventilation." Thesis, King's College London (University of London), 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.435804.
Full textBallage, Marion. "Algorithmes de résolution rapide de problèmes mécaniques sur GPU." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30122/document.
Full textGenerating a conformal mesh on complex geometries leads to important model size of structural finite element simulations. The meshing time is directly linked to the geometry complexity and can contribute significantly to the total turnaround time. Graphics processing units (GPUs) are highly parallel programmable processors, delivering real performance gains on computationally complex, large problems. GPUs are used to implement a new finite element method on a Cartesian mesh. A Cartesian mesh is well adapted to the parallelism needed by GPUs and reduces the meshing time to almost zero. The novel method relies on the finite element method and the extended finite element formulation. The extended finite element method was introduced in the field of fracture mechanics. It consists in enriching the basis functions to take care of the geometry and the interface. This method doesn't need a conformal mesh to represent cracks and avoids refining during their propagation. Our method is based on the extended finite element method, with a geometry implicitly defined, wich allows for a good approximation of the geometry and boundary conditions without a conformal mesh.To represent the model on a Cartesian grid, we use a level set representing a density. This density is greater than 0.5 inside the domain and less than 0.5 outside. It takes 0.5 on the boundary. A new integration technique is proposed, adapted to the geometrical representation. For the element cut by the levet set, only the part full of material has to be integrated. The Gauss quadrature is no longer adapted. We introduce a quadrature method with integration points on a cartesian dense grid.In order to reduce the computational effort, a learning approach is then considered to form the elementary stiffness matrices as function of density values on the vertices of the elements. This learning method reduces the stiffness matrices time computation. Results obtained after analysis by finite element method or the novel finite element method can have important storage size, dependant of the model complexity and the resolution scheme exactitude. Due to the limited direct memory of graphics processing units, the data results are compressed. We compress the model and the element finite results with a wavelet transform. The compression will help for storage issue and also for data visualization
Betancourt, Arturo. "Computational study of the heat transfer and fluid structure of a shell and tube heat exchanger." Thesis, Florida Atlantic University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10172609.
Full textA common technique to improve the performance of shell and tube heat exchangers (STHE) is by redirecting the flow in the shell side with a series of baffles. A key aspect in this technique is to understand the interaction of the fluid dynamics and heat transfer. Computational fluid dynamics simulations and experiments were performed to analysis the 3-dimensional flow and heat transfer on the shell side of an STHE with and without baffles. Although, it was found that there was a small difference in the average exit temperature between the two cases, the heat transfer coefficient was locally enhanced in the baffled case due to flow structures. The flow in the unbaffled case was highly streamed, while for the baffled case the flow was a highly complex flow with vortex structures formed by the tip of the baffles, the tubes, and the interaction of flow with the shell wall.
Tang, Baobao. "Development of Mathematical and Computational Models to Design Selectively Reinforced Composite Materials." Thesis, University of Louisiana at Lafayette, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10163313.
Full textDifferent positions of a material used for structures experience different stresses, sometimes at both extremes, when undergoing processing, manufacturing, and serving. Taking the three-point bending as an example, the plate experiences higher stress in the middle span area and lower stress in both sides of the plate. In order to ensure the performance and reduce the cost of the composite, placement of different composite material with different mechanical properties, i.e. selective reinforcement, is proposed.
Very few study has been conducted on selective reinforcement. Therefore, basic understanding on the relationship between the selective reinforcing variables and the overall properties of composite material is still unclear and there is still no clear methodology to design composite materials under different types of loads.
This study started from the analysis of composite laminate under three point bending test. From the mechanical analysis and simulation result of homogeneously reinforced composite materials, it is found that the stress is not evenly distributed on the plate based on through-thickness direction and longitudinal direction. Based on these results, a map for the stress distribution under three point bending was developed. Next, the composite plate was selectively designed using two types of configurations. Mathematical and finite element analysis (FEA) models were built based on these designs. Experimental data from tests of hybrid composite materials was used to verify the mathematical and FEA models. Analysis of the mathematical model indicates that the increase in stiffness of the material at the top and bottom surfaces and middle-span area is the most effective way to improve the flexural modulus in three point bending test. At the end of this study, a complete methodology to perform the selective design was developed.
Denzer, Ralf. "Computational configurational mechanics." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=978669797.
Full textDhruv, Akash. "A Multiphase Solver for High-Fidelity Phase-Change Simulations over Complex Geometries." Thesis, The George Washington University, 2021. http://pqdtopen.proquest.com/#viewpdf?dispub=28256871.
Full textEmmanuelli, Gustavo. "An Assessment of State Equations of Air for Modeling a Blast Load Simulator." Thesis, Mississippi State University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10979719.
Full textWhen an explosive detonates above ground, air is principally the only material involved in the transmission of shock waves that can result in damage. Hydrodynamic codes that simulate these explosions use equations of state (EOSs) for modeling the behavior of air at these high-pressure, high-velocity conditions. An investigation is made into the effect that the EOS selection for air has on the calculated overpressure-time waveforms of a blast event. Specifically, the ideal gas, Doan-Nickel, and SESAME EOSs in the SHAMRC code were used to reproduce experiments conducted at the Blast Load Simulator (BLS), a large-scale shock tube operated by the U.S. Army Engineer Research and Development Center, that consisted of subjecting an instrumented rigid box at three angles of orientation inside the BLS to a blast environment. Numerical comparisons were made against experimentally-derived confidence intervals using peak values and several error metrics, and an attempt was made to rank the EOS based on performance. Issues were noted with the duration of decay from maximum pressure to negative phase that resulted in a general underprediction of the integrated impulse regardless of EOS, while the largest errors were noted for gages on faces at 45 to 90 degrees from the initial flow direction. Although no significant differences were noticed in the pressure histories from different EOSs, the ideal gas consistently ranked last in terms of the error metrics considered and simultaneously required the least computing resources. Similarly, the Doan-Nickel EOS slightly performed better than SESAME while requiring additional wallclock time. The study showed that the Doan-Nickel and SESAME EOSs can produce blast signatures with less errors and more matches in peak pressure and impulse than the ideal gas EOS at the expense of more computational requirements.
Schmidt, Peter. "Computational Models of Adhesively Bonded Joints." Doctoral thesis, Linköping : Division of Mechanics, Department of Management and Engineering, Linköping University, 2007. http://www.bibl.liu.se/liupubl/disp/disp2007/tek1076s.pdf.
Full textLakkis, Issam Adnan 1970. "Lagrangian computations of radiating fire plumes." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/89262.
Full textStarling, Alexander Charles. "Performance-based computational synthesis of parametric mechanical systems." Thesis, University of Cambridge, 2004. https://www.repository.cam.ac.uk/handle/1810/251925.
Full textMarshall, G. S. "Muiticomponent fluid flow computation." Thesis, Teesside University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.384659.
Full textSmart, Ronald S. "Automated Multidisciplinary Optimizations of Conceptual Rocket Fairings." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/3058.
Full textZhu, Tulong. "Meshless methods in computational mechanics." Diss., Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/11795.
Full textAlipour, Skandani Amir. "Computational and Experimental Nano Mechanics." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/64869.
Full textPh. D.
Sessions, Blake A. "A computational bow-spring model." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/65303.
Full text"May 2010." Cataloged from PDF version of thesis.
Bow-springs find few applications in industry. Principally, they are used in archery. In addition, they have found some use in a compression-spring mode in the field of biomechatronics, to emulate elastic human legs. The mechanical behavior (characterized by deflected shape and deformation force) is difficult to model, because internal forces and moments and the geometry are both unknown. The only closed-form solutions to such systems are relatively useless to a mechanical engineer. This work comprises an iterative model developed in MATLAB that computes the mechanical behavior of buckled beam (or bow-spring) sections, over a range of parameters and geometries, to be used in the development and testing of compression bow-springs as parallel loading systems to the human leg.
by Blake A. Sessions.
S.B.
Li, Shuai Ph D. Massachusetts Institute of Technology. "Computational imaging through deep learning." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122070.
Full textThesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 143-154).
Computational imaging (CI) is a class of imaging systems that uses inverse algorithms to recover an unknown object from the physical measurement. Traditional inverse algorithms in CI obtain an estimate of the object by minimizing the Tikhonov functional, which requires explicit formulations of the forward operator of the physical system, as well as the prior knowledge about the class of objects being imaged. In recent years, machine learning architectures, and deep learning (DL) in particular, have attracted increasing attentions from CI researchers. Unlike traditional inverse algorithms in CI, DL approach learns both the forward operator and the objects' prior implicitly from training examples. Therefore, it is especially attractive when the forward imaging model is uncertain (e.g. imaging through random scattering media), or the prior about the class of objects is difficult to be expressed analytically (e.g. natural images).
In this thesis, the application of DL approaches in two different CI scenarios are investigated: imaging through a glass diffuser and quantitative phase retrieval (QPR), where an Imaging through Diffuser Network (IDiffNet) and a Phase Extraction Neural Network (PhENN) are experimentally demonstrated, respectively. This thesis also studies the influences of the two main factors that determine the performance of a trained neural network: network architecture (connectivity, network depth, etc) and training example quality (spatial frequency content in particular). Motivated by the analysis of the latter factor, two novel approaches, spectral pre-modulation approach and Learning Synthesis by DNN (LS-DNN) method, are successively proposed to improve the visual qualities of the network outputs. Finally, the LS-DNN enhanced PhENN is applied to a phase microscope to recover the phase of a red blood cell (RBC) sample.
Furthermore, through simulation of the learned weak object transfer function (WOTF) and experiment on a star-like phase target, we demonstrate that our network has indeed learned the correct physical model rather than doing something trivial as pattern matching.
by Shuai Li.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Mechanical Engineering
Bansod, Yogesh Deepak. "Computational Simulation of Mechanical Tests of Isolated Animal Cells." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-263397.
Full text(unal), Kutlu Ozge. "Computational 3d Fracture Analysis In Axisymmetric Media." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609872/index.pdf.
Full texts radius to thickness ratio (R/t), the crack geometry ratio (a/c) and crack minor axis to cylinder thickness ratio (a/t) on stress intensity factors for surface and internal cracks are examined. Mechanical and thermal loading cases are considered. Displacement Correlation Technique (DCT) is used to obtain Stress Intensity Factors.