Projects per year
Personal profile
Research interests
My research focuses on the applications of composite materials at the structure level. To this aim, I develop numerical methods and frameworks designed to take advantage of the tailorability of composite materials as a means to improve structural performances. In particular, the aeroelastic optimisation of wind turbine rotors is one of my main research interest.
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Projects
- 3 Finished
-
Fatigue prediction for non-conventional laminates application to wind turbine blades
1/01/19 → 18/06/19
Project: Research
-
-
Research output
-
Sensitivity of cross-sectional compliance to manufacturing tolerances for wind turbine blades
Maes, V. K., Macquart, T., Weaver, P. M. & Pirrera, A., 29 Aug 2023, (Submitted)Research output: Other contribution
-
AutoMapper: A python tool for accelerating the polymer bonding workflow in LAMMPS
Bone, M. A., Howlin, B. J., Hamerton, I. & Macquart, T., 1 Apr 2022, In: Computational Materials Science. 205, 6 p., 111204.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile1 Citation (Scopus)139 Downloads (Pure) -
Comparison of blade optimisation strategies for the IEA 15 MW reference turbine
Scott, S. J., Greaves, P., Macquart, T. & Pirrera, A., 1 Jun 2022, In: Journal of Physics: Conference Series. 2265, 3, 032029.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile5 Citations (Scopus)43 Downloads (Pure)
Datasets
-
Sensitivity of Cross-sectional Compliance Terms to Manufacturing Tolerances for Wind Turbine Blades
Pirrera, A. (Creator), Macquart, T. (Creator) & Maes, V. K. (Creator), University of Bristol, 14 Jul 2023
DOI: 10.5523/bris.o8a8gs1ee73y2ivi94338ghg4, http://data.bris.ac.uk/data/dataset/o8a8gs1ee73y2ivi94338ghg4
Dataset
-
IEA15MW_Bristol
Scott, S. (Creator), Greaves, P. (Creator), Macquart, T. (Contributor) & Pirrera, A. (Creator), University of Bristol, 22 Jan 2022
DOI: 10.5523/bris.3jrb4mejp9vfd2qb3s7dreymr1, http://data.bris.ac.uk/data/dataset/3jrb4mejp9vfd2qb3s7dreymr1
Dataset