Pedro Camanho has been a Full Professor at the Department of Mechanical Engineering of the University of Porto (UPorto), Portugal, since 2014. He is also currently the President of the Associated Laboratory in Energy, Transportation and Aeronautics (LAETA), and the Vice-President of INEGI. He received MSc in Mechanical Engineering from UPorto in 1995, and PhD in Composite Materials from the Department of Aeronautics, Imperial College London, UK, in 1999. His main research interests are the mechanics of deformation and fracture of advanced polymer composite materials, and new concepts for lightweight composite materials and structures for aerospace applications such as hybrid, nano-structured, multi-functional, variable-stiffness, energy-storage and ultra-thin composites.

Prof. Camanho was a Visiting Scientist at the U.S. Air Force Research Laboratory (1999), and NASA-Langley Research Center (2000-2011). He was a Royal Society Visiting Professor at Imperial College London (2005) and a Visiting Professor at the Laboratoire de Mécanique et Technologie, Ecole Normale Supérieure de Cachan - Université Paris-Saclay (2014).

Prof. Camanho receives many awards, including NASA H.J.E. Reid Award for Outstanding Scientific Paper (2006), Young Researcher in Applied and Computational Mechanics Award from the Portuguese Association of Theoretical, Applied and Computational Mechanics (2005), Engineering Fracture Mechanics Most Cited Articles Award (2005-2009), Mechanics of Materials Highly Cited Research Award (2016), and Excellence in Research Award of the University of Porto (2020).

Prof. Camanho is member of the Editorial Board of the International Journal of Solids and Structures (Elsevier), Composites Part A (Elsevier), European Journal of Computational Mechanics (Taylor & Francis), and Computers, Materials and Continua (Tech Science Press). He was the chairman of the 3rd Composites Testing and Model Identification Conference - CompTest (2006), and 1st ECCOMAS Conference on the Mechanical Response of Composites (2007). He is member of the Advisory Board of the European Mechanics Society (EUROMECH), of the Council of the European Society for Composite Materials (ESCM), and of the Engineering Panel of the European Research Council (ERC). He was elected Fellow of the Royal Aeronautical Society in 2020.

He was invited to give several plenary lectures: Conference on Numerical Methods in Engineering - CMN (2007 and 2013), 7th EUROMECH Solid Mechanics Conference (2009), International Conference of Composite Structures - ICCS (2009, 2011 and 2013), Spanish Conference on Composite Materials (2011), Spanish Conference on Fracture Mechanics (2012), EADS Composite/Metallic Days Conference in France (2013), Composites Testing and Model Identification Conference - CompTest (2013), 5th ECCOMAS International Conference on Computational Modeling of Fracture and Failure of Materials and Structures (2017), and 5th ECCOMAS Thematic Conference on the Mechanical Response of Composites (2017).

He was Director of the MIT-Portugal Engineering Design and Advanced Manufacturing (EDAM) focus area doctoral program in Leaders for Technological Industries, and currently the Director of the Space-Earth Interactions area of the UT Austin-Portugal Program. He is External Examiner of the MSc in Composite Materials course from the Department of Aeronautics, Imperial College London. He is the chairman of the Independent Advisory Board of the Centre for Doctoral Training in Composites of the University of Bristol. He is member of the Programme Committee of the International Council of the Aeronautical Sciences (ICAS).

Prof. Camanho has published over 140 papers in international peer reviewed journals that received over 12,500 independent citations (Scopus h-index of 55, independent citations). His work has been successfully transferred to the industry and services: finite elements implemented by ABAQUS (Dassault Systèmes), materials models implemented in LS-DYNA and MSC-NASTRAN (Digimat), failure criteria in HYPERSIZER, ESACOMP and ANSYS, and test methods that are used by both the automotive and aeronautical industries. 

Title

Generation of statistical design allowables of composite laminates using machine learning

Abstract

This work represents the first study towards the application of machine learning techniques in the prediction of statistical design allowables of composite laminates. Building on data generated analytically [1], four machine learning algorithms are used to predict the notched strength of composite laminates and their statistical distribution, associated to material and geometrical variability.

Very good representations of the design space (relative errors of around ±10%) and very accurate representations of the distributions of notched strengths and corresponding B basis allowables are obtained. The Gaussian Processes models proved to be the most reliable, considering their continuous nature and fast training process. This work serves as basis for the prediction of first ply failure, ultimate strength and failure mode of composite specimens based on non-linear finite element simulations, providing further reduction of the computational time required to virtually obtain the design allowables for composite laminates.

References

[1] C. Furtado, A. Arteiro, M.A. Bessa, B.L. Wardle, P.P. Camanho. Prediction of size effects in open hole laminates using only the Young's modulus, the strength, and the R-curve of the 0° ply, Composites Part A, 101, pp. 306-317, 2017.