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Real-Time Data Acquisition and Structural Health Monitoring System

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2016 ASEE Annual Conference & Exposition


New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016





Conference Session

Instrumentation Division Technical Session 2

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Paper Authors


Akbar M. Eslami Elizabeth City State University

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Dr. Akbar Eslami is a professor and Engineering Technology coordinator in the Department of Technology at Elizabeth City State University. He received his Ph.D. in Mechanical Engineering from Old Dominion University. His research interests are in Computer Aided Manufacturing and Design, Reverse Engineering, Finite Element Analysis, and Data Acquisition.

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Graham Harrison, EIT Elizabeth City State University

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Graham graduated from Elizabeth City State University with a Bachelor’s of Science degree in Engineering Technology, with a concentration in Mechanical and Automation, holding a 4.0 GPA. Before pursuing his degree, Graham spent 6 years in the Navy as an Aviation Search and Rescue Swimmer, and Aerial Door Gunner. Graham now works as a Design Engineer / Engineer-In-Training at Eastern Carolina Engineering, PC civil engineering firm, and is a Certified AutoCAD Professional, with 2+ years’ experience with AutoCAD Civil 3D.

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Mark Vincent Long Elizabeth City State University

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Mark Vincent Long is currently a senior student at Elizabeth City State University majoring in Engineering Technology with a concentration in Mechanical and Automation. He was a 2015 intern with CISCO Systems, Inc and a 2015 NC Space Grant Scholar. He is interested in additive manufacturing technology and automatic control. He intends to pursue graduate studies in mechanical engineering.

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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.

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

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