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Related Concept Videos

Thermal Strain01:19

Thermal Strain

Thermal strain is a concept that arises when we consider how temperature changes affect structures. Unlike the conventional assumption that structures remain constant under load, real-world scenarios often involve temperature fluctuations that can significantly impact these structures. Consider a homogeneous rod with a uniform cross-section resting freely on a flat horizontal surface. If the rod's temperature increases, the rod elongates. This elongation is proportional to the temperature...
Measurements of Strain01:27

Measurements of Strain

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 gauge...
Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

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...
Strain and Elastic Modulus01:15

Strain and Elastic Modulus

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...
Temperature Dependent Deformation01:12

Temperature Dependent Deformation

In a nonhomogeneous rod made up of steel and brass, restrained at both ends and subjected to a temperature change, several steps are involved in calculating the stress and compressive load. Due to the problem's static indeterminacy, one end support is disconnected, allowing the rod to experience the temperature change freely. Next, an unknown force is applied at the free end, triggering deformations in the rod's steel and brass portions. These deformations are then calculated and added together...

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Related Experiment Video

Updated: Jul 7, 2026

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
09:48

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Published on: November 7, 2016

Second-order sensitivity effects on optical fiber polarimetric temperature sensor and strain sensor.

J Ma, W Tang

    Applied Optics
    |February 12, 2008
    PubMed
    Summary

    Second-order sensitivity effects are crucial for polarimetric temperature and strain sensors under significant changes. For minor variations, linear regression provides more accurate sensor parameter values.

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    Area of Science:

    • * Physics
    • * Optical Engineering
    • * Sensor Technology

    Background:

    • * Polarimetric sensors are susceptible to second-order sensitivity effects.
    • * Understanding these effects is vital for accurate measurements in various applications.
    • * Previous analyses often focused on linear approximations.

    Purpose of the Study:

    • * To analyze second-order sensitivity effects in polarimetric temperature and strain sensors.
    • * To determine the conditions under which linear vs. second-order regression is appropriate.
    • * To experimentally investigate cross-sensitivity effects.

    Main Methods:

    • * Experimental data collection for polarimetric temperature and strain sensors.
    • * Analysis of errors between measured data and linear/second-order polynomial regressions.
    • * Comparative study of regression models for different magnitudes of temperature change and strain.

    Main Results:

    • * Second-order effects significantly impact sensor accuracy with larger temperature changes or strain.
    • * Linear regression yields higher accuracy for small temperature changes or strain.
    • * Experimental validation of the influence of regression model choice on sensor parameter accuracy.

    Conclusions:

    • * The choice of regression model (linear or second-order) is critical for accurate sensor readings.
    • * Second-order analysis is necessary for precise measurements under substantial environmental variations.
    • * Linear regression is sufficient and more accurate for small-scale sensor operation.