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National Laboratory for Advanced Data Research Data Technologies Science & Other Applications Programs (SOAP) SDSC/Cal-(IT)2  Synthesis Center


ENGINEERING

Engineering is headed by Tony Fountain.


PROJECTS

NSF ITR Collaborative Research: Health Monitoring of Highway Bridges and Civil Infrastructure

Novel health monitoring strategies for Highway Bridges and Constructed Facilities are of primary significance to the vitality of our economy. Using the latest enabling technologies, the objectives of health monitoring are to detect and assess the level of damage to the civil infrastructure due to severe loading (caused by natural loads or man-made events) and/or progressive environmental deterioration. A flexible and scalable software framework is being developed to integrate real-time heterogeneous sensor data, database and archiving systems, computer vision, data analysis and interpretation, numerical simulation of complex structural systems, visualization, probabilistic risk analysis, and rational statistical decision-making procedures.

The project is being developed around actual Bridge Testbeds in cooperation with the California Department of Transportation (Caltrans), and Industry Partners. These Testbeds will be densely instrumented and continuously monitored, and the recorded response databases will be made available for maximum possible use by interested researchers and engineers worldwide.

The Health Monitoring ITR project lead PI is Ahmed Elgamal, UCSD.
The SDSC co-PI is Tony Fountain.

http://healthmonitoring.ucsd.edu/

CLEANER: Collaborative Large-Scale Engineering Analysis Network for Environmental Research -- An Engineering Cyberinfrastructure "Test Bed"

Through planning grants, the NSF Directorate for Engineering is exploring "Concept Development" of a new cyberinfrastructure project. This new research focus centers on a network of "Environmental Field Facilities" which consitute a "Collaborative Large-Scale Engineering Analysis Network (EAN) for Environmental Reesarch (CLEANER)". The goal of CLEANER is to
advance knowledge and integrated assessment modeling of complext environmental system, thereby enabling more effective approaches to adaptive management.
CLEANER will provide the capability for near-real time dynamic monitoring and analysis of key parameters for effective environmental management.

Ilya Zaslavsky is the PI on the UCSD CLEANER grant.

http://cleaner.nacse.org/

 



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