Eslami, A. M., & Harrison, EIT, G., & Long, M. V. (2016, June),  Real-Time Data Acquisition and Structural Health Monitoring System  Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26215

\bibitem{asee_peer_26215}
  Eslami, A. M., \& Harrison, EIT, G., \& Long, M. V. (2016, June), \emph{ Real-Time Data Acquisition and Structural Health Monitoring System}
  Paper presented at 2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana.
  10.18260/p.26215

Akbar M. Eslami, Graham Harrison, EIT, and Mark Vincent Long.  " Real-Time Data Acquisition and Structural Health Monitoring System".  2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016, June.  ASEE Conferences, 2016.  https://peer.asee.org/26215 Internet.  11 Dec, 2024

\bibitem{asee_peer_26215}
  Akbar M. Eslami, Graham Harrison, EIT, and Mark Vincent Long.
  " Real-Time Data Acquisition and Structural Health Monitoring System".
  \emph{2016 ASEE Annual Conference \& Exposition, New Orleans, Louisiana, 2016, June}.
  ASEE Conferences, 2016.
  https://peer.asee.org/26215 Internet.  11 Dec, 2024

@INPROCEEDINGS{asee_peer_26215
author = "Akbar M. Eslami, Graham Harrison, EIT, and Mark Vincent Long"
title = " Real-Time Data Acquisition and Structural Health Monitoring System"
booktitle = "2016 ASEE Annual Conference \& Exposition"
year = "2016"
month = "June"
address = "New Orleans, Louisiana"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/26215}
number = {10.18260/p.26215}
}

TY  - CPAPER
AB  -          Real-Time Data Acquisition and Structural Health Monitoring System

This paper describes a method for measuring strain and stress values in a real world project through the use of sensors, data acquisition hardware, and the LabVIEW software program. The proposed method describes how real time information about mechanical properties can be gathered within a single user-friendly program.

The ability to make drastic or life-saving decisions during an air mission is an example of a real-world application of this project. The aircrew needs the ability to understand and recognize the mechanical properties of the aircraft components in real time. The proposed method will provide the mechanical properties of the part within a single Excel file. This is similar to the information that a laptop mounted within the cabin of the aircraft, known as a “tough book,” delivers.  This information is in turn used for critical decisions in any air missions.

The use of sensors mounted on critical aircraft components has proved to be a reliable method for Structure Health Monitoring (SHM). The main focus of utilizing sensors in SHM is to maximize the chance of detecting system failure or potential damage with a limited number of sensors in real time. In this project, precision strain gages with resistance of 350 Ω are mounted to a loaded aluminum specimen, simulating sensors mounted to aircraft components and acted upon by a force. The real-time signals, received from strain gages, will be in turn transferred to LabVIEW software program in order to calculate and plot strain and stress values. Comparing the linear relationship of the stress and strain distribution curves proves the effectiveness of the experiment.


AU  - Akbar M. Eslami
AU  - Graham Harrison, EIT
AU  - Mark Vincent Long
CY  - New Orleans, Louisiana
DA  - 2016/06/26
PB  - ASEE Conferences
TI  -  Real-Time Data Acquisition and Structural Health Monitoring System
UR  - https://peer.asee.org/26215
DO  - 10.18260/p.26215
ER  -