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Impact Loading01:19

Impact Loading

246
Impact loading occurs when a moving object collides with a stationary structure, such as a rod with a uniform cross-sectional area fixed at one end. Under these conditions, the rod absorbs the kinetic energy from the striking object, leading to deformation and subsequent stress development. As the rod returns to its original position and reaches maximum stress, the absorbed energy, initially manifested as kinetic energy, transforms entirely into strain energy.
In cases of elastic deformation,...
246
Measuring Acceleration Due to Gravity01:12

Measuring Acceleration Due to Gravity

608
Consider a coffee mug hanging on a hook in a pantry. If the mug gets knocked, it oscillates back and forth like a pendulum until the oscillations die out.
A simple pendulum can be described as a point mass and a string. Meanwhile, a physical pendulum is any object whose oscillations are similar to a simple pendulum, but cannot be modeled as a point mass on a string because its mass is distributed over a larger area. The behavior of a physical pendulum can be modeled using the principles of...
608
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

388
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
388
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

367
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
367
Fatigue01:21

Fatigue

220
Fatigue occurs when materials rupture under repeated or fluctuating loads, even at stress levels far below their static breaking strength. It typically results in brittle failure, even for ductile materials. It is a critical consideration in designing machines and structural components subjected to repetitive or varying loads. The nature of these loadings can range from fluctuating loads like unbalanced pump impellers causing vibrations to repeatedly bending a thin steel rod wire back and forth...
220
Impact Loading on a Cantilever Beam01:13

Impact Loading on a Cantilever Beam

456
The analysis of a cantilever beam with a circular cross-section subjected to impact loading at its free end illustrates the conversion of potential energy from a dropped object into kinetic energy, which is then absorbed by the beam as strain energy. This process is crucial for understanding how materials behave under dynamic loads, which is important in fields such as construction and aerospace.
When an object is dropped onto the free end of a cantilever, its potential energy due to gravity is...
456

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Related Experiment Video

Updated: Aug 8, 2025

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

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Using Raw Accelerometer Data to Predict High-Impact Mechanical Loading.

Lucas Veras1,2, Florêncio Diniz-Sousa1,2, Giorjines Boppre1,2

  • 1Research Center in Physical Activity, Health and Leisure (CIAFEL), Faculty of Sport, University of Porto, 4200-450 Porto, Portugal.

Sensors (Basel, Switzerland)
|February 28, 2023
PubMed
Summary

Researchers developed equations to predict peak ground reaction force (pGRF) and peak loading rate (pLR) using accelerometry. This allows for continuous assessment of mechanical loading during high-impact activities in adults.

Keywords:
biomechanicsground reaction forcejumpsloading ratevalidation

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Area of Science:

  • Biomechanics
  • Sports Medicine
  • Wearable Technology

Background:

  • Accurate assessment of mechanical loading during high-impact activities is crucial for injury prevention and performance monitoring.
  • Existing methods for measuring peak ground reaction force (pGRF) and peak loading rate (pLR) often require specialized laboratory equipment.
  • Developing non-invasive, accessible methods to estimate these biomechanical parameters is highly desirable for clinical and field applications.

Purpose of the Study:

  • To develop and validate prediction equations for pGRF and pLR during jumping activities.
  • To utilize accelerometry data, in conjunction with body mass, to estimate these key biomechanical variables.
  • To assess the accuracy and reliability of these prediction equations across a diverse range of adult body masses.

Main Methods:

  • Recruited 78 adult participants (27 males) with a wide range of body masses (normal to severe obesity).
  • Collected data using force plates and accelerometers (ankle, lower back, hip) during various jumping tasks.
  • Developed regression equations to predict pGRF and pLR, employing leave-one-out cross-validation for accuracy assessment.

Main Results:

  • Body mass, peak acceleration, and peak acceleration rate were significant predictors in the developed models.
  • pGRF prediction equations demonstrated strong predictive power (R² ≥ 0.83, MAPE < 14.5%).
  • pLR prediction equations also showed good accuracy (R² ≥ 0.87), though with slightly higher prediction error (MAPE ≤ 24.7%) compared to pGRF.

Conclusions:

  • Accelerometry-based prediction equations can accurately estimate jumping pGRF.
  • This approach facilitates continuous monitoring of mechanical loading in diverse settings.
  • While pLR prediction is feasible, its accuracy is comparatively lower than pGRF prediction using this methodology.