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Distance Problem01:29

Distance Problem

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When an object's velocity changes over time, the total distance traveled can be determined by summing small displacement intervals over short increments. This approach approximates the true distance through numerical summation and the use of integral calculus. An estimate of the total displacement can be obtained by measuring velocity at regular intervals and multiplying each value by the corresponding time step.If a runner accelerates over the first three seconds of a race, speed measurements...
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Orthogonal Trajectories01:26

Orthogonal Trajectories

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Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
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Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
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Position and Displacement Vectors01:00

Position and Displacement Vectors

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To describe the motion of an object, one should first be able to describe its position (where it is at any particular time). More precisely, the position needs to be specified relative to a convenient frame of reference. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference to describe the position of an object in relation to stationary objects on Earth.
Further, several important kinds of...
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Planar Rigid-Body Motion01:22

Planar Rigid-Body Motion

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Understanding the movement of a rigid body in planar motion involves recognizing that every particle within this body is traversing a path that maintains a consistent distance from a specific plane. This concept is fundamental in the study of physics and mechanical engineering, and it allows us to comprehend better how objects move in space.
Planar motion is typically divided into three distinct categories. The first is rectilinear translation, demonstrated by a subway train that moves along...
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Trapezoidal Rule01:26

Trapezoidal Rule

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Estimating the distance traveled by a vehicle using its recorded velocity over time is a common problem in physics and engineering. When velocity data is available at discrete time intervals, rather than as a continuous function, numerical integration methods such as the trapezoidal rule are often employed to approximate the total displacement.The trapezoidal rule works by dividing the total time interval into several equal segments. Within each segment, the recorded velocities at the endpoints...
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Related Experiment Video

Updated: Mar 7, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments
10:32

Image-based Lagrangian Particle Tracking in Bed-load Experiments

Published on: July 20, 2017

9.5K

Tracking particles with large displacements using energy minimization.

Rostislav Boltyanskiy1, Jason W Merrill2, Eric R Dufresne3

  • 1Department of Physics, Yale University, New Haven, Connecticut 06520, USA.

Soft Matter
|March 1, 2017
PubMed
Summary
This summary is machine-generated.

We developed a new particle tracking method that minimizes energy to accurately track particles with large displacements in materials. This approach is more reliable than standard methods for large deformations.

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Area of Science:

  • Materials Science
  • Fluid Dynamics
  • Solid Mechanics

Background:

  • Particle tracking is crucial for understanding material deformation.
  • Existing methods struggle with large particle displacements and correlated motion.

Purpose of the Study:

  • To introduce a novel energy-minimizing particle tracking method.
  • To improve tracking accuracy for particles in materials undergoing large deformations.

Main Methods:

  • Particle identities assigned by minimizing the sum of the trace of the squared strain tensor.
  • Energy-minimizing approach contrasted with squared-displacement minimization.
  • Implementation in a flexible MATLAB particle tracker with optimal assignment algorithm.

Main Results:

  • The energy-minimizing method is more reliable for large, spatially-correlated displacements.
  • Squared-displacement minimization is better for uncorrelated random motion.
  • The tracker estimates the strain tensor for each particle.

Conclusions:

  • The proposed energy-minimizing method enhances particle tracking capabilities for large deformations.
  • This approach offers a more robust alternative to traditional methods in specific scenarios.
  • The provided MATLAB tool facilitates the application of these tracking techniques.