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Grant Award View - GA59770
Innovative Data Driven Techniques for Structural Condition Monitoring
GA ID:
GA59770
Agency:
Australian Research Council
Approval Date:
17-Oct-2019
Publish Date:
22-Oct-2019
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-May-2020 to 30-Apr-2024
Original: 17-Oct-2019 to 30-Jun-2023
Value (AUD):
$821,000.00
(GST inclusive where applicable)
Variations:
- GA59770-V3 - Variation to Grant (20-Oct-2021 )
- GA59770-V2 - Variation to Grant (2-Aug-2021 )
- GA59770-V1 - Variation to Grant (5-May-2020 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 19/20 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
Innovative Data Driven Techniques for Structural Condition Monitoring
Purpose:
Safe and sustainable infrastructure involves the development and application of structural monitoring and assessment techniques for condition evaluation. This project develops an innovative structure condition monitoring approach based on the emerging digital technologies on image processing, data analytics and machine learning techniques, for better infrastructure asset management under operational environment. Expected outcomes of this project enhance the capacity to conduct the operational monitoring and data interpretation to deliver the best life cycle performance of infrastructure. This project should provide significant benefits to Australia in infrastructure asset management by reducing the interruption of infrastructure operations.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2019
Internal Reference ID:
FT19 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Curtin University
Recipient ABN:
99 143 842 569
Grant Recipient Location
Suburb:
BENTLEY
Town/City:
BENTLEY
Postcode:
6102
State/Territory:
WA
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
WA
Postcode:
6102
Country:
AUSTRALIA