Abstract

This research applies networks of sensors and control devices to enhance the performance of civil infrastructure systems, particularly utility lifeline systems, under both emergency and daily operational conditions. Specific objectives of this research are to: 1) develop a conceptual system design capable of data acquisition, wireless data transmission, data processing/analysis and operational control of a water delivery system; 2) develop innovative neural network-based inverse analysis algorithms and software to determine in near real-time the extent and locations of damage or malfunction sustained by system components such as pipe segments, pipe joints, pumping stations, etc., and 3) use Memphis Light, Gas and Water (MLGW) Division's water system for a pilot case study to demonstrate the improvements offered by the system design. The system thus designed represents a new generation of vastly expanded …

Date

2001

Authors

Masanobu Shinozuka, John S Heidemann

Journal

NSF Award

Volume

1

Issue

112665

Pages

12665