Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)

 

Implanté sur deux sites, le campus d’Angers et le pôle de réalité virtuelle de Laval, le LAMPA intervient dans les domaines de l’innovation, des procédés avancés de fabrication et de durabilité des matériaux et des structures. Le numérique et le virtuel sont au cœur des travaux de recherche, par exemple la simulation numérique du procédé pour la compréhension des phénomènes thermiques et mécaniques en jeu.
http://lampa.ensam.eu/

Recent Submissions

  • On cracked rotating shaft mechanics: a systematic approach 
    EL AREM, Saber; BEN ZID, Maha (CSMA, 2017-05-15)
    We present a systematic approach to deal with the modeling and analysis of the cracked rotating shafts behaviour. We begin by revisiting the problem of modelling the breathing mechanism ofthe crack. Here we consider an ...
  • On the mechanics of beams and shafts with cracks: A standard and generic approach 
    EL AREM, Saber (Elsevier, 2020)
    A generic methodology to deal with the mechanics of beams and shafts with cracks is presented. The elastic energy of the system under static loading is written in a comprehensive manner to remarkably reduce the 3D computations ...
  • A phase‐field model for brittle fracture of anisotropic materials 
    GMATI, Hela; MAREAU, Charles; AMMAR, Amine; EL AREM, Saber (Wiley, 2020)
    In the present work, a phase field damage model is developed to address the numerical simulation of brittle fracture. This model successfully captures some important aspects of crack propagation, including crack branching ...
  • Effects of social influence on idea selection in creativity workshops 
    FLEURY, Sylvain; AGNÈS, Aurélien; CADOS, Léa; DENIS-LUTARD, Quentin; DUCHÊNE, Clément; RIGAUD, Nathan; RICHIR, Simon (Elsevier BV, 2020)
    Different variants of brainstormings and brainwritings exist and are regularly used in companies. Several phenomena of social influence in the idea generation stage have been highlighted. The hypothesis of this research ...
  • On the data-driven modeling of reactive extrusion 
    IBAÑEZ, Ruben; CASTERAN, Fanny; ARGERICH, Clara; GHNATIOS, Chady; HASCOET, Nicolas; AMMAR, Amine; CASSAGNAU, Philippe; CHINESTA, Francisco (MDPI, 2020)
    This paper analyzes the ability of different machine learning techniques, able to operate in the low-data limit, for constructing the model linking material and process parameters with the properties and performances of ...
  • Improving Humans: Enhancing the complex sociological being with the virtual 
    TCHA-TOKEY, Katy; SCHMIDT, Colin; GESLIN, Erik; RICHIR, Simon (Association for Computing Machinery, 2020)
    In this paper, we argue in favour of using an immersive Virtual Environment (VE) in order to improve human capabilities. We develop this idea in order to advance the potential of VEs in enhancing humans. Training with VEs ...
  • On the multi-scale description of micro-structured fluids composed of aggregating rods 
    PEREZ, Marta; SCHEUER, Adrien; ABISSET-CHAVANNE, Emmanuelle; AMMAR, Amine; CHINESTA, Francisco; KEUNINGS, Roland (Springer, 2019)
    When addressing the flow of concentrated suspensions composed of rods, dense clusters are observed. Thus, the adequate modelling and simulation of such a flow requires addressing the kinematics of these dense clusters and ...

View more