Publications by Annalisa Buffa

A theoretical analysis of mass scaling techniques

Annalisa Buffa, Espen Sande, Yannis Dirk Voet

Mass scaling is widely used in finite element models of structural dynamics for increasing the critical time step of explicit time integration methods. While the field has been flourishing over the years, it still lacks a strong theoretical basis and mostl ...

SPRINGER2025

A spline-based hexahedral mesh generator for patient-specific coronary arteries

Annalisa Buffa, Simone Deparis, Jochen Peter Hinz

This paper presents a spline-based hexahedral mesh generator for tubular geometries commonly encountered in hæmodynamics studies, in particular coronary arteries. We focus on techniques for accurately meshing vessels with stenoses and aneurysms, as well as ...

2025

MASS LUMPING AND OUTLIER REMOVAL STRATEGIES FOR COMPLEX GEOMETRIES IN ISOGEOMETRIC ANALYSIS

Annalisa Buffa, Espen Sande, Yannis Dirk Voet

Mass lumping techniques are commonly employed in explicit time integration schemes for problems in structural dynamics and both avoid solving costly linear systems with the consistent mass matrix and increase the critical time step. In isogeometric analysi ...

AMER MATHEMATICAL SOC2025

Reduced order modeling based inexact FETI-DP solver for lattice structures

Annalisa Buffa, Pablo Antolin Sanchez, Thibaut Hirschler

This paper addresses the overwhelming computational resources needed with standard numerical approaches to simulate architected materials. Those multiscale heterogeneous lattice structures gain intensive interest in conjunction with the improvement of addi ...

Wiley2024

Reduced Order Modelling of Nonaffine Problems on Parameterized NURBS Multipatch Geometries

Annalisa Buffa, Pablo Antolin Sanchez, Margarita Chasapi

This contribution explores the combined capabilities of reduced basis methods and IsoGeometric Analysis (IGA) in the context of parameterized partial differential equations. The introduction of IGA enables a unified simulation framework based on a single g ...

Springer Science and Business Media Deutschland GmbH2024

An interior penalty coupling strategy for isogeometric non-conformal Kirchhoff-Love shell patches

Annalisa Buffa, Pablo Antolin Sanchez, Giuliano Guarino

This work focuses on the coupling of trimmed shell patches using Isogeometric Analysis, based on higher continuity splines that seamlessly meet the

C^1

requirement of Kirchhoff-Love-based discretizations. Weak enforcement of coupling conditions is achiev ...

Springer2024

On the use of elliptic PDEs for the parameterisation of planar multipatch domains

Annalisa Buffa, Jochen Peter Hinz

This paper presents a parameterisation framework based on (inverted) elliptic PDEs for addressing the planar parameterisation problem of finding a valid description of the domain’s interior given no more than a spline-based description of its boundary cont ...

2024

The Immersed Boundary Conformal Method for Kirchhoff–Love and Reissner–Mindlin shells

Annalisa Buffa, Pablo Antolin Sanchez, Giuliano Guarino

This work utilizes the Immersed Boundary Conformal Method (IBCM) to analyze linear elastic Kirchhoff–Love and Reissner–Mindlin shell structures within an immersed domain framework. Immersed boundary methods involve embedding complex geometries within a bac ...

2024

An equilibrated flux a posteriori error estimator for defeaturing problems

Annalisa Buffa, Rafael Vazquez Hernandez, Denise Grappein, Ondine Gabrielle Chanon

An a posteriori error estimator based on an equilibrated flux reconstruction is proposed for defeaturing problems in the context of finite element discretizations. Defeaturing consists in the simplification of a geometry by removing features that are consi ...

2023

Can Knowledge Transfer Techniques Compensate for the Limited Myocardial Infarction Data by Leveraging Haemodynamics? An in silico Study

Annalisa Buffa, Simone Deparis, Emmanuel Abbé, Ortal Yona Senouf, Riccardo Tenderini

The goal of this work is to investigate the ability of transfer learning (TL) and multitask learning (MTL) algorithms to predict tasks related to myocardial infarction (MI) in a small-data regime, leveraging a larger dataset of haemodynamic targets. The da ...

Springer Nature2023