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Grant Award View - GA281622
Bidirectional Evolutionary Structural Optimization for Transient...
GA ID:
GA281622
Agency:
Australian Research Council
Approval Date:
19-Jan-2023
Publish Date:
1-Feb-2023
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
19-Jan-2023 to 31-Dec-2025
Value (AUD):
$492,697.00
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Bidirectional Evolutionary Structural Optimization for Transient Problems
Purpose:
Aims: This proposal aims to expand the bidirectional evolutionary structural optimisation (BESO) method for transient mechanical, multiphysical and robotic problems.
Significance: The study will develop new BESO transient algorithms by integrating time-dependent analysis and stepwise design sensitivity in multicriteria and multidisciplinary optimisation.
Expected outcomes: The project will largely broaden the algorithmic scope of BESO and enables it to solve more extensive real-life problems with time-varying nature.
Benefits include a new BESO design framework and computer program, as well as a series of novel designs, potentially being implemented for aerospace, automotive, biomedical, mechanical, civil and mechatronic applications.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2023
Internal Reference ID:
DP23 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Sydney
Recipient ABN:
15 211 513 464
Grant Recipient Location
Suburb:
FOREST LODGE
Town/City:
FOREST LODGE
Postcode:
2037
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2037
Country:
AUSTRALIA