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-1-1Engineering Statics
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A set of notes covering the contents of Engineering Statics at the sophomore level in engineering.Wed, 18 Jul 2001 07:00:00 GMTNegahbanPhysics Demo Videos
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A collection of over 140 videos of Physics Demonstrations covering a wide variety of topics, from mechanics to atomic. Videos are offered in both real and mpg formats.Tue, 06 May 2003 07:00:00 GMTMachele CableVectors and Motion in Two Dimensions
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This site contains an extensive set of notes on basic topics in physics. There are extensive illustrations and animations along with the text. Also included are self-quizzes, and shockwave quizzes and tutorials. Includes projectile motion and forces in two dimensions, as well as a discussion on vectors.Wed, 19 Jul 2000 07:00:00 GMTTom Henderson Glenbrook South High School"Mailardet's Automaton" Understanding Simple Machines
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This site is about a machine invented by Henri Maillardet around 1800. The machine is now in the Franklin Institute in Philadelphia. One section of the site discusses simple machines.Sun, 16 Sep 2007 02:32:13 GMTPattie Knox Franklin Institute of Science MuseumHyperphysics Concepts
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This site has an explanation of Potential energy. It also includes formulas, and examples are given to add visual aid.Wed, 20 Oct 2004 07:00:00 GMTRod NaveMechanics source page
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Notes and instructional aids for Mechanics (Statics, Dynamics, Mechanics of Materials).Thu, 19 Jul 2001 07:00:00 GMTNegahbanIntroductory Physics Notes
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<p>These notes constitute a general, non-calculus introductory physics course. They are based on lectures given through the IUN/FYDE distance education program of the University of Winnipeg, which provides access to university level courses for communities outside of Winnipeg. The material covered comprises the introductory course Physics 1301 offered at the University.</p>Fri, 22 May 2009 21:50:36 GMTGabor Kunstatter; Randy Kobes; Meg Carrington; Ian BurleyOnline Physics Course: Energy and the Environment
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A complete online course offered by the University of Oregon's Distance Education Program. Includes exams, homework, current events, lectures, and internet resources. To register for this course, email Sandra Gladney at sgladney@continue.uoregon.eduSat, 13 May 2000 07:00:00 GMTUniversity of Oregon's Distance Education ProgramTheo Jansen: My creations, a new form of life
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<p>"Artist Theo Jansen demonstrates the amazingly lifelike kinetic sculptures he builds from plastic tubes and lemonade bottles. His creatures are designed to move -- and even survive -- on their own. Theo Jansen is a Dutch artist who builds walking kinetic sculptures that he calls a new form of life."</p>Mon, 22 Jul 2013 03:45:02 GMTTheo Jansen Ted TalksDifferentiable and Quasi-Differentiable Methods for Optimal Shape Design in Aerospace
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This video was recorded at International Workshop on Machine Learning for Aerospace, Marseille 2009. Optimal shape design can be approached either as an unknown boundary problems as done for most problems of fluid dynamics or as an unknown domain problem as done in structural mechanics for topological optimization. We shall present both methods together with some applications in aerospace. Problems are discretized by the finite element method; differentiable optimization is used when possible and pseudo differentiable methods for topological optimization. Shape optimization is usually computer intensive and parallel computing is a necessity. While evolutionary methods have an edge, gradient methods can be parallelized by domain decomposition just as well. But sensitivity evaluation is too computer intensive and problematic when black-box solvers are used. Data learning and surrogated models can be applied to provide low-fidelity models for the state. These can be used in gradient free, quasi-differentiable or differentiable minimization methods. Then incomplete sensitivity can be used to upgrade data learning at zero cost beyond what available with just the functional. This extra information also gives insights on robustness of the design and allows to discriminate between Pareto points. It also enables the user to have ideas on the impact of uncertainties in independent parameters which are not design parameter. This ensemble leads to a design method, may be less efficient for academic problems, but more robust and reliable in realistic situations with uncertainties on all parameters.Tue, 10 Feb 2015 21:22:49 GMTOlivier Pironneau Laboratoire Jacques-Louis Lions, UPMC - Université Pierre et Marie Curie - Paris 6ESTEC experience as ISTC collaborator in Russian contribution to EXPERT programme
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This video was recorded at Thematic International Conference on Bio-, Nano- and Space Technologies, EU & Science Centers Collaboration, Ljubljana 2008. From 10 to 12 March 2008, the International Science and Technology Center (ISTC) and the Science and Technology Center in Ukraine (STCU) organised an international conference in Slovenia. The objective of the conference was to promote cooperation between partners in Europe and in Russia and the CIS, with a particular focus on three scientific fields: nano-, bio- and space technologies. The second day of the conference was dedicated to space. Space activities in Europe, Russia and the CIS, as well as joint projects were presented.Tue, 10 Feb 2015 22:34:45 GMTJean-Marie Muylaert European Space Research & Technology Centre, European Space AgencyIntroduction to the MIT 8.01 course
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This video was recorded at MIT 8.01 Physics I: Classical Mechanics - Fall 1999. The goal is to introduce the students for the first time to physics that's to say calculus based physics. Many students have had that in high school and many have not, and 8.01 the first course of physics covers not only Newtonian mechanics that is at the heart of the course.Tue, 10 Feb 2015 21:07:40 GMTWalter H. G. Lewin Center for Future Civic MediaLearning Multi-Dimensional Functions: Gas Turbine Engine Modeling
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This video was recorded at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Warsaw 2007. The 18th European Conference on Machine Learning (ECML) and the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were co-located in Warsaw, Poland, from September 17th to 21st, 2007. The ECML/PKDD conference series intends to provide an international forum for the discussion of the latest high quality research results and is the major European scientific event in the field. The combined event comprised of presentations of contributed papers and invited talks, a wide program of workshops and tutorials, discovery challenge and industrial track.Mon, 09 Feb 2015 05:15:10 GMTChris Drummond University of OttawaLecture 17: Impulse - Rockets
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This video was recorded at MIT 8.01 Physics I: Classical Mechanics - Fall 1999. 1. Ballistic Pendulum: A massive pendulum absorbs a bullet and the bullet's momentum. The kinetic energy which is left over after this completely inelastic collision is converted to potential energy of the pendulum. The relationship between horizontal displacement of the pendulum and bullet velocity is derived and empirically observed. The initial kinetic energy in the bullet is almost totally converted into heat. 2. Impulse and Impact Time: Impulse is the product of a force (acting on an object) and the brief time that it acts. This results in an abrupt change of momentum. For a ball bouncing off the floor, the impact time is typically milliseconds. A movie is shown to demonstrate this. Courtesy of Dr. Peter Dourmashkin, MIT. 3. Surprising Bounce Demo: A tennis ball on top of a much heavier basketball is dropped from a height of about 3 m. The tennis ball bounces way higher than 3 m. Try calculate how high it bounced by assuming the basketball bounces off the floor elastically and then collides elastically with the tennis ball. 4. Thrust of a Rocket: An analogy is drawn between the force felt by the target of a tomato thrower, the reaction force felt by the thrower, and the propulsion (thrust) of a rocket. The Saturn rockets spewed out about 15 tons/sec at a speed of 2.5 km/sec relative to the rocket to provide a thrust of about 34 million Newton. The mass of the rocket decreases substantially with time as it burns its fuel, so the rocket's acceleration increases. 5. Fuel Consumption and Rocket Velocity: Consuming a given amount of fuel translates into a fixed change of the rocket's momentum, not into a fixed change of the rocket's kinetic energy.Tue, 10 Feb 2015 21:07:43 GMTWalter H. G. Lewin Center for Future Civic MediaLecture 1: Course information, Begin kinematics: frames of reference and frame notation
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This video was recorded at MIT 2.003J / 1.053J Dynamics and Control I - Fall 2007. This class is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics include kinematics; force-momentum formulation for systems of particles and rigid bodies in planar motion; work-energy concepts; virtual displacements and virtual work; Lagrange's equations for systems of particles and rigid bodies in planar motion; linearization of equations of motion; linear stability analysis of mechanical systems; free and forced vibration of linear multi-degree of freedom models of mechanical systems; and matrix eigenvalue problems. The class includes an introduction to numerical methods and using MATLAB® to solve dynamics and vibrations problems. This version of the class stresses kinematics and builds around a strict but powerful approach to kinematic formulation which is different from the approach presented in Spring 2007. Our notation was adapted from that of Professor Kane of Stanford University. Recommended Citation For any use or distribution of these materials, please cite as follows: Sanjay Sarma, Nicholas Makris, Yahya Modarres-Sadeghi, and Peter So, course materials for 2.003J / 1.053J Dynamics and Control I, Fall 2007. MIT OpenCourseWare (http://ocw.mit.edu), Massachusetts Institute of Technology. Downloaded on [DD Month YYYY]. Course Homepage: 2.003J / 1.053J Dynamics and Control I Fall 2007 Course features at MIT OpenCourseWare page: Syllabus Readings MATLAB Sessions Assignment Exams Download Course MaterialsTue, 10 Feb 2015 21:01:49 GMTSanjay E. Sarma Center for Future Civic MediaLecture 3: Pulley problem, angular velocity, magic formula
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This video was recorded at MIT 2.003J / 1.053J Dynamics and Control I - Fall 2007. This class is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics include kinematics; force-momentum formulation for systems of particles and rigid bodies in planar motion; work-energy concepts; virtual displacements and virtual work; Lagrange's equations for systems of particles and rigid bodies in planar motion; linearization of equations of motion; linear stability analysis of mechanical systems; free and forced vibration of linear multi-degree of freedom models of mechanical systems; and matrix eigenvalue problems. The class includes an introduction to numerical methods and using MATLAB® to solve dynamics and vibrations problems. This version of the class stresses kinematics and builds around a strict but powerful approach to kinematic formulation which is different from the approach presented in Spring 2007. Our notation was adapted from that of Professor Kane of Stanford University. Recommended Citation For any use or distribution of these materials, please cite as follows: Sanjay Sarma, Nicholas Makris, Yahya Modarres-Sadeghi, and Peter So, course materials for 2.003J / 1.053J Dynamics and Control I, Fall 2007. MIT OpenCourseWare (http://ocw.mit.edu), Massachusetts Institute of Technology. Downloaded on [DD Month YYYY]. Course Homepage: 2.003J / 1.053J Dynamics and Control I Fall 2007 Course features at MIT OpenCourseWare page: Syllabus Readings MATLAB Sessions Assignment Exams Download Course MaterialsTue, 10 Feb 2015 21:01:51 GMTSanjay E. Sarma Center for Future Civic MediaLecture 4: 3D Kinematics - Free Falling Reference Frames
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This video was recorded at MIT 8.01 Physics I: Classical Mechanics - Fall 1999. 1. Shape of the Projectile Trajectory: Professor Lewin reviews the equations for projectile motion, showing that the trajectory is a parabola. He derives formulas for the highest point (maximum height), the time to reach the highest point, the time of flight (until impact), and the horizontal distance traveled. For given initial speed (speed is a scalar, velocity is a vector), an object thrown at 45 degrees from the vertical will go the farthest. 2. How to Measure the Initial Speed? An object is shot upwards from a gun-like device. By measuring the height that it reaches, we can find the initial speed. Uncertainties in the results are discussed and are taken into account in the demonstrations that follow. 3. Shoot a Ball for Maximum Horizontal Distance: The ball is shot at an angle of 45 degrees from the vertical (the uncertainty in the angle is estimated to be about 1 degree). Professor Lewin predicts where the ball will hit the long desk in the lecture hall. He takes into account the uncertainty in the initial speed of the ball and the 1 degree uncertainty in the angle. He marks the locations between which the ball should hit. He then shoots the ball, and indeed it lands as predicted. 4. Shoot a Ball at 30 and 60 Degrees: For given initial speed, the horizontal range is the same for angles of 30 and 60 degrees from the vertical (but the ball travels higher for 60 degrees -- which of these trajectories takes the longest?). Professor Lewin sets the angle at 30 degrees, and predicts where the ball will hit. He takes the uncertainties into account. The ball lands as predicted. 5. Shoot a Ball at a Monkey Doll: Someone shoots a ball and aims straight at a monkey who is hanging in a tree. Gravitational acceleration curves the ball's trajectory substantially, and there is no danger that the monkey will get hit. However, tragically the monkey sees the light flash of the gun and he lets go. He falls to the ground, and ... the ball hits the monkey independent of the initial speed of the ball (provided the speed is high enough to reach the tree). 6. Reference Frame of the Falling Monkey: Both the monkey and the ball are falling with the same gravitational acceleration. From the monkey's point of view (its reference frame) the ball is coming straight at it (no curved trajectory). 7. Professor Lewin (Dressed in Safari Outfit) Fires the GunTue, 10 Feb 2015 21:07:42 GMTWalter H. G. Lewin Center for Future Civic MediaLecture 4: Magic and super-magic formulae
https://www.merlot.org/merlot/viewMaterial.htm?id=970559
This video was recorded at MIT 2.003J / 1.053J Dynamics and Control I - Fall 2007. This class is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics include kinematics; force-momentum formulation for systems of particles and rigid bodies in planar motion; work-energy concepts; virtual displacements and virtual work; Lagrange's equations for systems of particles and rigid bodies in planar motion; linearization of equations of motion; linear stability analysis of mechanical systems; free and forced vibration of linear multi-degree of freedom models of mechanical systems; and matrix eigenvalue problems. The class includes an introduction to numerical methods and using MATLAB® to solve dynamics and vibrations problems. This version of the class stresses kinematics and builds around a strict but powerful approach to kinematic formulation which is different from the approach presented in Spring 2007. Our notation was adapted from that of Professor Kane of Stanford University. Recommended Citation For any use or distribution of these materials, please cite as follows: Sanjay Sarma, Nicholas Makris, Yahya Modarres-Sadeghi, and Peter So, course materials for 2.003J / 1.053J Dynamics and Control I, Fall 2007. MIT OpenCourseWare (http://ocw.mit.edu), Massachusetts Institute of Technology. Downloaded on [DD Month YYYY]. Course Homepage: 2.003J / 1.053J Dynamics and Control I Fall 2007 Course features at MIT OpenCourseWare page: Syllabus Readings MATLAB Sessions Assignment Exams Download Course MaterialsTue, 10 Feb 2015 21:01:52 GMTSanjay E. Sarma Center for Future Civic MediaLecture 5: Super-magic formula, degrees of freedom, non-standard coordinates, kinematic constraints
https://www.merlot.org/merlot/viewMaterial.htm?id=970561
This video was recorded at MIT 2.003J / 1.053J Dynamics and Control I - Fall 2007. This class is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics include kinematics; force-momentum formulation for systems of particles and rigid bodies in planar motion; work-energy concepts; virtual displacements and virtual work; Lagrange's equations for systems of particles and rigid bodies in planar motion; linearization of equations of motion; linear stability analysis of mechanical systems; free and forced vibration of linear multi-degree of freedom models of mechanical systems; and matrix eigenvalue problems. The class includes an introduction to numerical methods and using MATLAB® to solve dynamics and vibrations problems. This version of the class stresses kinematics and builds around a strict but powerful approach to kinematic formulation which is different from the approach presented in Spring 2007. Our notation was adapted from that of Professor Kane of Stanford University. Recommended Citation For any use or distribution of these materials, please cite as follows: Sanjay Sarma, Nicholas Makris, Yahya Modarres-Sadeghi, and Peter So, course materials for 2.003J / 1.053J Dynamics and Control I, Fall 2007. MIT OpenCourseWare (http://ocw.mit.edu), Massachusetts Institute of Technology. Downloaded on [DD Month YYYY]. Course Homepage: 2.003J / 1.053J Dynamics and Control I Fall 2007 Course features at MIT OpenCourseWare page: Syllabus Readings MATLAB Sessions Assignment Exams Download Course MaterialsTue, 10 Feb 2015 21:01:53 GMTSanjay E. Sarma Center for Future Civic MediaLecture 8: Single particle: angular momentum, example problem Two particles: dumbbell problem, torque
https://www.merlot.org/merlot/viewMaterial.htm?id=970565
This video was recorded at MIT 2.003J / 1.053J Dynamics and Control I - Fall 2007. This class is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics include kinematics; force-momentum formulation for systems of particles and rigid bodies in planar motion; work-energy concepts; virtual displacements and virtual work; Lagrange's equations for systems of particles and rigid bodies in planar motion; linearization of equations of motion; linear stability analysis of mechanical systems; free and forced vibration of linear multi-degree of freedom models of mechanical systems; and matrix eigenvalue problems. The class includes an introduction to numerical methods and using MATLAB® to solve dynamics and vibrations problems. This version of the class stresses kinematics and builds around a strict but powerful approach to kinematic formulation which is different from the approach presented in Spring 2007. Our notation was adapted from that of Professor Kane of Stanford University. Recommended Citation For any use or distribution of these materials, please cite as follows: Sanjay Sarma, Nicholas Makris, Yahya Modarres-Sadeghi, and Peter So, course materials for 2.003J / 1.053J Dynamics and Control I, Fall 2007. MIT OpenCourseWare (http://ocw.mit.edu), Massachusetts Institute of Technology. Downloaded on [DD Month YYYY]. Course Homepage: 2.003J / 1.053J Dynamics and Control I Fall 2007 Course features at MIT OpenCourseWare page: Syllabus Readings MATLAB Sessions Assignment Exams Download Course MaterialsTue, 10 Feb 2015 21:01:55 GMTSanjay E. Sarma Center for Future Civic MediaLecture 9: Dumbbell problem, multiple particle systems, rigid bodies, derivation of torque = I*alpha
https://www.merlot.org/merlot/viewMaterial.htm?id=970567
This video was recorded at MIT 2.003J / 1.053J Dynamics and Control I - Fall 2007. This class is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Topics include kinematics; force-momentum formulation for systems of particles and rigid bodies in planar motion; work-energy concepts; virtual displacements and virtual work; Lagrange's equations for systems of particles and rigid bodies in planar motion; linearization of equations of motion; linear stability analysis of mechanical systems; free and forced vibration of linear multi-degree of freedom models of mechanical systems; and matrix eigenvalue problems. The class includes an introduction to numerical methods and using MATLAB® to solve dynamics and vibrations problems. This version of the class stresses kinematics and builds around a strict but powerful approach to kinematic formulation which is different from the approach presented in Spring 2007. Our notation was adapted from that of Professor Kane of Stanford University. Recommended Citation For any use or distribution of these materials, please cite as follows: Sanjay Sarma, Nicholas Makris, Yahya Modarres-Sadeghi, and Peter So, course materials for 2.003J / 1.053J Dynamics and Control I, Fall 2007. MIT OpenCourseWare (http://ocw.mit.edu), Massachusetts Institute of Technology. Downloaded on [DD Month YYYY]. Course Homepage: 2.003J / 1.053J Dynamics and Control I Fall 2007 Course features at MIT OpenCourseWare page: Syllabus Readings MATLAB Sessions Assignment Exams Download Course MaterialsTue, 10 Feb 2015 21:01:56 GMTSanjay E. Sarma Center for Future Civic MediaTesting Aerodynamics of Reentry Space Vehicles (EXPERT) with Simulation of Real-Flight Viscous Effects
https://www.merlot.org/merlot/viewMaterial.htm?id=981874
This video was recorded at Thematic International Conference on Bio-, Nano- and Space Technologies, EU & Science Centers Collaboration, Ljubljana 2008. From 10 to 12 March 2008, the International Science and Technology Center (ISTC) and the Science and Technology Center in Ukraine (STCU) organised an international conference in Slovenia. The objective of the conference was to promote cooperation between partners in Europe and in Russia and the CIS, with a particular focus on three scientific fields: nano-, bio- and space technologies. The second day of the conference was dedicated to space. Space activities in Europe, Russia and the CIS, as well as joint projects were presented.Tue, 10 Feb 2015 22:34:42 GMTAnatoly Kharitonov Institute of Theoretical and Applied Mechanics - ITAM