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Liste des publications du LMPS

Affichage des publications 61 à 70 sur 1392 au total

Biomechanics

Time-Frequency Machine Learning Transfer Function for Central Pressure Waveforms

Abstract Background Clinical studies show that pulsatile hemodynamics and pressure waveform analysis are valuable for the diagnosis and prognosis of hypertension and heart failure. While generalized transfer functions (GTF) have shown clinical…

Soha Niroumandi, Heng Wei, Faisal Amlani, M Hossein Gorji, Rashid Alavi, Julio Chirinos, Niema Pahlevan

European Heart Journal Open -

Mechanics

Simplified model for the transient dynamic analysis of bolted assemblies

Bolted joints are crucial in assembly structures, particularly due to the high stresses and complex non-linear behaviours they experience. These joints are common in mechanical engineering applications, notably in aeronautics, where a single…

Quentin Lançon, Pierre-Alain Guidault, Pierre-Alain Boucard, Nicolas Vallino

COMPDYN 2025 -

Biodiversity and Ecology

Modelling the impact of linear infrastructure on species dispersal in a changing climate: a scalable surrogate approach

As climate change accelerates, many species must shift their ranges to survive. Yet humanmade linear infrastructures-such as roads, railways, and power lines-fragment habitats and create major barriers to movement. Understanding and mitigating these…

Jean-Baptiste Page, Didier Clouteau, Pierre Jehel, Filippo Gatti, Carmen Bessa-Gomes

The International Society for Ecological Modelling Global Conference 2025 -

Engineering Sciences

Virtual Design of Masonry Triplet Shear Tests using Digital Image Correlation

Numerous studies highlight the diverse opportunities offered by multi-view image correlation techniques. For example, in masonry structures, these techniques enable the propagation of cracks to be quantified in joints and blocks. However, many…

Louis Collin, Fabrice Gatuingt, Cédric Giry, François Hild

Materials and structures -

Physics

Data-driven Fluid Flow Prediction Using Conditional Score-based Diffusion Models

Advances in computational power have made turbulent field simulations central to many disciplines, yet traditional solvers struggle to deliver fast flow estimations due to the inherent chaotic nature of the problem. More recently, diffusion models…

Wilfried Genuist, Éric Savin, Filippo Gatti, Didier Clouteau

AICOMAS 2025 - Artificial Intelligence and computational Methodes in Applied sciences -

Matériaux composites et construction

Carbon nanotube effects on low-cement mortar performance and eco-efficiency

The construction sector, particularly cement production, accounts for 8-10 % of global CO2 emissions annually, and the industry is under increasing pressure to adopt sustainable practices, with carbon nanotubes (CNTs) emerging as a promising…

E.D. Reis, Fabrice Gatuingt, F.S.J. Poggiali, A.C.S. Bezerra

Journal of Building Engineering -