SYMPOSIA PAPER Published: 01 January 1997

Networked Data Acquisition Systems for Strain Data Collection


Issues surrounding the implementation of fast, effective, and accurate strain measurement systems continue to make strain measurement a difficult instrumentation problem.Difficulties in constructing effective systems for strain measurement are particularly felt in fatigue testing, large-scale testing, or in the testing of mobile vehicles. A brief analysis of the difficulties encountered in these applications provides a motivation for the design of new system architectures for strain measurement based on a paradigm of networks and information processing. The design of a networked data acquisition system for strain measurement is described. The system involves a dedicated data acquisition system installed at each gage or rosette that performs bridge excitation and completion, regular sampling, and monitors trend information. A digital communications network is used to allow each gage to be configured as a client in a stateless clientserver network application. Together, the components form a new architecture for strain data acquisition based on a network of intelligent devices that can be controlled by any general purpose computer. The proposed system architecture addresses many of the problems associated with conventional strain measurements by minimizing its reliance on analog signal manipulation.The paper discusses the design of a prototype system designed in this manner and discusses the performance that can be achieved using this approach.

Author Information

McLean, G
University of Victoria, Victoria, British Columbia, Canada
Prescott, B
University of Victoria, Victoria, British Columbia, Canada
Ellens, M
University of Victoria, Victoria, British Columbia, Canada
Price: $25.00
Contact Sales
Reprints and Permissions
Reprints and copyright permissions can be requested through the
Copyright Clearance Center
Developed by Committee: E08
Pages: 5–18
DOI: 10.1520/STP11537S
ISBN-EB: 978-0-8031-5361-5
ISBN-13: 978-0-8031-2416-5