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Laura Mainini
Laura Mainini
Professor of Aerospace Computational Design, Imperial College London
在 imperial.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Projection-based model reduction: Formulations for physics-based machine learning
R Swischuk, L Mainini, B Peherstorfer, K Willcox
Computers & Fluids 179, 704-717, 2019
3472019
Surrogate Modeling Approach to Support Real-time Structural Assessment and Decision-making
L Mainini, K Willcox
AIAA Journal 53 (6), 1612-1626, 2015
802015
A surrogate modeling approach to support real-time structural assessment and decision-making
L Mainini, K Willcox
10th AIAA Multidisciplinary Design Optimization Conference, National Harbor …, 2014
802014
Multifidelity DDDAS methods with application to a self-aware aerospace vehicle
D Allaire, D Kordonowy, M Lecerf, L Mainini, K Willcox
Procedia Computer Science 29, 1182-1192, 2014
592014
An offline/online DDDAS capability for self-aware aerospace vehicles
D Allaire, J Chambers, R Cowlagi, D Kordonowy, M Lecerf, L Mainini, ...
Procedia Computer Science 18, 1959-1968, 2013
322013
Real-time fault detection and prognostics for aircraft actuation systems
PCC Berri, MDL Dalla Vedova, L Mainini
AIAA Scitech 2019 Forum, 2210, 2019
302019
Data to decisions: Real-time structural assessment from sparse measurements affected by uncertainty
L Mainini, KE Willcox
Computers & Structures 182, 296-312, 2017
302017
Multidisciplinary design optimization for hybrid electric vehicles: component sizing and multi-fidelity frontal crashworthiness
PG Anselma, CB Niutta, L Mainini, G Belingardi
Structural and Multidisciplinary Optimization 62, 2149-2166, 2020
262020
Computational framework for real-time diagnostics and prognostics of aircraft actuation systems
PC Berri, MDL Dalla Vedova, L Mainini
Computers in Industry 132, 103523, 2021
232021
A modelling framework to support power architecture trade-off studies for More-Electric Aircraft
AG Garriga, P Govindaraju, SS Ponnusamy, N Cimmino, L Mainini
Transportation Research Procedia 29, 146-156, 2018
222018
Learning for predictions: Real-time reliability assessment of aerospace systems
PC Berri, MDL Dalla Vedova, L Mainini
AIAA Journal 60 (2), 566-577, 2022
202022
Analytical benchmark problems for multifidelity optimization methods
L Mainini, A Serani, MP Rumpfkeil, E Minisci, D Quagliarella, H Pehlivan, ...
arXiv preprint arXiv:2204.07867, 2022
192022
A machine learning enabled multi-fidelity platform for the integrated design of aircraft systems
AG Garriga, L Mainini, SS Ponnusamy
Journal of Mechanical Design 141 (12), 121405, 2019
152019
A multi-fidelity framework to support the design of More-Electric Actuation
A Garcia Garriga, SS Ponnusamy, L Mainini
2018 multidisciplinary analysis and optimization conference, 3741, 2018
142018
Multifidelity domain-aware learning for the design of re-entry vehicles
F Di Fiore, P Maggiore, L Mainini
Structural and Multidisciplinary Optimization 64, 3017-3035, 2021
132021
Multidisciplinary integrated framework for the optimal design of a jet aircraft wing
L Mainini, P Maggiore
International Journal of Aerospace Engineering 2012 (1), 750642, 2012
132012
Sensor placement strategy to inform decisions
L Mainini, KE Willcox
18th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 3820, 2017
122017
Resource Aware Multifidelity Active Learning for Efficient Optimization
F Grassi, G Manganini, M Garraffa, L Mainini
2021 AIAA SciTech Forum, 2021
112021
Resource Aware Multifidelity Active Learning for Efficient Optimization
F Grassi, G Manganini, M Garraffa, L Mainini
arXiv preprint arXiv:2007.04674, 2020
112020
A modelling and simulation framework for the integrated design of aircraft systems
N Cimmino, SS Ponnusamy, AG Garriga, L Mainini
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of …, 2019
92019
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