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Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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Copyright (c) 2024 Igor Vujović, Ivica Kuzmanić, Zlatan Kulenović

Polynomial Identification of Strain Gauge Thermal Output...

Authors:

Igor Vujović

Ivica Kuzmanić

Zlatan Kulenović

Keywords:strain gauges, deformation, neural network, identification, thermal output

Abstract

Strain gauges are used in different areas, especially in thedesign and development of new technical constructions andmode/testing. Also, strain gauges are inc01porated in the functionalpart of many instruments and devices. They are mostlyused as sensors in transducers designed to measure such mechanicalquantities as forces, moments, pressures, accelerations,etc. They have an important role in shipbuilding and marinetransport in general. In this paper we have suggested andshown an approach to the identification of strain gauge thermaloutput curve on the example of a product available at themarket. Neural network simulated in MatLab has been applied.The neural network has been adapted to simulate a realsystem with 1 o-9 order of magnitude error_ As it is well known,strain gauges measure deformations of 1 o-o order of magnitude.It is obvious that the network eJTOr cannot influence the measurementresults because of its being smaller by three orders ofmagnitude.

References

  1. (1] *, Strain Gauge Measurement -A Tutorial, National

    Instruments, Application Note 078, 1998.

    (2] K. Schulze, Experimentelle MejJtechnik in Maschinen

    und Stahlbau, VE Verlang Technik, Berlin, 1988.

    (3] I. Alfirevic, Nauka o cvrstoCi, Tehnicka knjiga, Zagreb,

    (4] J. W. Dally, Experimental stress analysis, McGrow-Hill,

    Singapure, 1987.

    *,Strain Gauge Transducers,

    http://www.measurementsgroup.com

    (6] *,PCB Technical Support- Introduction to Piezoelectric

    Pressure Sensors, http://www.pcb.com/tech_press.html

    *,PCB Technical Support- Introduction to Piezoelectric

    Force Sensors, http://www.pcb.com/tech_press.html

    *, Strain Gauge Thermal Output and Gauge Factor

    Variation with Temperature,

    http://www.measurementsgroup.com/guide/tn/tn504/

    d.htm

    A. P. Roskilly, E. Mesbahi, Marine System Modeling

    Using Artificial Neural Networks: an Introduction to the

    The01y and Practice, TranslmarE, vol. 1

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How to Cite
Vujović, I. (et al.) 1900. Polynomial Identification of Strain Gauge Thermal Output.... Traffic&Transportation Journal. 14, 6 (Jan. 1900), 277-284. DOI: https://doi.org/.

SPECIAL ISSUE IS OUT

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Marko Matulin, PhD, Dario Babić, PhD, Marko Ševrović, PhD


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