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Related Concept Videos

Measurements of Strain01:27

Measurements of Strain

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Strain quantifies the deformation of a material under force, typically measured as normal strain, which represents the change in length when compared with the original length. Electrical strain gauges are used for enhanced accuracy. These devices consist of a conductive wire mounted on a paper backing that adheres to the material's surface. These gauges operate on the piezoresistive effect, where the wire's electrical resistance changes in response to mechanical deformation. The strain...
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Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

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The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
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Normal Strain under Axial Loading01:20

Normal Strain under Axial Loading

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Normal strain under axial loading is an important concept in the field of mechanics of materials. Axial loading implies the application of a force along the axis of a material, like a column or bar. This force can either compress or stretch the material. In the context of axial loading, normal strain is the deformation experienced by the material in the direction of the loading force. It's calculated as the change in length divided by the original length of the material. This unitless ratio...
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Strain and Elastic Modulus01:15

Strain and Elastic Modulus

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The quantity that describes the deformation of a body under stress is known as strain. Strain is given as a fractional change in either length, volume, or geometry under tensile, volume (also known as bulk), or shear stress, respectively, and is a dimensionless quantity. The strain experienced by a body under tensile or compressive stress is called tensile or compressive strain, respectively. In contrast, the strain experienced under bulk stress and shear stress is known as volume and shear...
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Elastic Strain Energy for Shearing Stresses01:20

Elastic Strain Energy for Shearing Stresses

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As discussed in previous lessons, strain energy in a material is the energy stored when it is elastically deformed, a concept crucial in materials science and mechanical engineering. This energy results from the internal work done against the cohesive forces within the material. When a material undergoes shearing stress and corresponding shearing strain, the strain energy density, which is the energy stored per unit volume, is calculated. Within the elastic limit, where the stress is...
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Strain Sensing Based on Multiscale Composite Materials Reinforced with Graphene Nanoplatelets
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SSVM: An Ultra-Low-Power Strain Sensing and Visualization Module for Long-Term Structural Health Monitoring.

Suleman Khan1, Jongbin Won1, Junsik Shin1

  • 1Department of Civil and Environmental Engineering, Chung-Ang University, Seoul 06974, Korea.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an ultra-low-power strain sensing and visualization module (SSVM) for long-term structural health monitoring. The developed system efficiently manages data and power, overcoming limitations of previous methods.

Keywords:
QR codecloud databasesmartphone applicationstrain sensing and visualization module (SSVM)structural health monitoring (SHM)ultra-low-power

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Area of Science:

  • Civil Engineering
  • Materials Science
  • Electrical Engineering

Background:

  • Structural health monitoring (SHM) is vital for assessing structural integrity and identifying issues like fatigue and crack propagation.
  • Existing SHM methods face challenges in long-term infrastructure monitoring due to power inefficiency and data management issues.

Purpose of the Study:

  • To develop a high-fidelity, ultra-low-power strain sensing and visualization module (SSVM) for effective long-term structural health monitoring.
  • To introduce an efficient data management technique to complement the SSVM.

Main Methods:

  • The SSVM utilizes a 24-bit analog-to-digital converter and a half-bridge circuit for precise strain measurement.
  • A low-power microcontroller unit (MCU) and an electronic-paper display (EPD) enable long-term operation with minimal power consumption.
  • Strain data is encoded into QR codes for visualization on the EPD, with power management activated only by trigger signals.

Main Results:

  • The SSVM prototype demonstrated efficient strain sensing and data encoding for visualization.
  • The system achieved ultra-low power consumption, with active and power-saving modes drawing 18 mA and 337.9 μA, respectively.
  • A smartphone application and cloud database facilitated efficient data acquisition and management.

Conclusions:

  • The developed SSVM system was successfully validated in lab-scale experiments for long-term static strain measurement.
  • The system offers a viable solution for overcoming power and data management challenges in infrastructure monitoring.