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Early applicant
Hybrid
Full-time
The project will help Brazil achieve its 2050 target by offering design optimisation of an innovative hybrid steel-concrete system, i.e., concrete-filled double skin tubular (CFDST) sections for offshore wind turbine towers. Compared to conventional steel towers, the efficient use of concrete and steel materials in CFDST offers superior mechanical properties and savings in cost. In the project, a combined testing, numerical modelling, and machine learning (ML) aided design approach will be adopted,...
Skills
Structural engineering
Computational modelling
Artificial intelligence
Machine learning
Large language model
Research Associate: ISPF Project
The University of Manchester
Manchester
Early applicant
Hybrid
Full-time
The project will help Brazil achieve its 2050 target by offering design optimisation of an innovative hybrid steel-concrete system, i.e., concrete-filled double skin tubular (CFDST) sections for offshore wind turbine towers. Compared to conventional steel towers, the efficient use of concrete and steel materials in CFDST offers superior mechanical properties and savings in cost. In the project, a combined testing, numerical modelling, and machine learning (ML) aided design approach will be adopted,...
Skills
Structural engineering
Computational modelling
Artificial intelligence
Machine learning
Large language model