Model selection and sensitivity analysis in the biomechanics of soft tissues: A case study on the human knee meniscus

E Elmukashfi, G Marchiori, M Berni, G Cassiolas… - Advances in applied …, 2022 - Elsevier
Soft tissues—such as ligaments and tendons—primarily consist of solid (collagen,
predominantly) and liquid phases. Understanding the interaction between such components …

3D meso-scale modelling of foamed concrete based on X-ray Computed Tomography

T Nguyen, A Ghazlan, A Kashani, S Bordas… - Construction and Building …, 2018 - Elsevier
Foamed concrete has been widely used in infrastructure construction and poses new
challenges to design and modelling. This paper investigates the behaviour of foamed …

Robotically steered needles: A survey of neurosurgical applications and technical innovations

MA Audette, SPA Bordas, JE Blatt - Robotic Surgery: Research …, 2020 - Taylor & Francis
This paper surveys both the clinical applications and main technical innovations related to
steered needles, with an emphasis on neurosurgery. Technical innovations generally center …

Skew-symmetric Nitsche's formulation in isogeometric analysis: Dirichlet and symmetry conditions, patch coupling and frictionless contact

Q Hu, F Chouly, P Hu, G Cheng, SPA Bordas - Computer Methods in …, 2018 - Elsevier
A simple skew-symmetric Nitsche's formulation is introduced into the framework of
isogeometric analysis (IGA) to deal with various problems in small strain elasticity: essential …

A time-domain method for load identification using moving weighted least square technique

Y Sun, L Luo, K Chen, X Qin, Q Zhang - Computers & Structures, 2020 - Elsevier
Based on the thought of Green's kernel function method (GKFM), an improved time-domain
load identification method using moving weighted least square technique (MWLST) which …

[HTML][HTML] Strain energy density as a Gaussian process and its utilization in stochastic finite element analysis: Application to planar soft tissues

A Aggarwal, BS Jensen, S Pant, CH Lee - Computer methods in applied …, 2023 - Elsevier
Data-based approaches are promising alternatives to the traditional analytical constitutive
models for solid mechanics. Herein, we propose a Gaussian process (GP) based …

[HTML][HTML] A new stochastic isogeometric analysis method based on reduced basis vectors for engineering structures with random field uncertainties

Z Liu, M Yang, J Cheng, J Tan - Applied Mathematical Modelling, 2021 - Elsevier
A new stochastic isogeometric analysis method based on reduced basis vectors (SRBIGA) is
proposed for engineering structures with random field material properties and external …

Large deformation analysis in the context of 3D compressible nonlinear elasticity using the VDQ method

R Ansari, R Hassani, M Faraji Oskouie… - Engineering with …, 2021 - Springer
In this article, a new solution approach is developed to numerically compute large
deformations of 3D hyperelastic solids based on the compressible nonlinear elasticity. The …

Generation of realistic 3D concrete aggregate microstructures using multiscale multifractal evolutionary stochastic manifold and operator-split-genetic algorithm

J Huang - Probabilistic Engineering Mechanics, 2021 - Elsevier
Concrete aggregates have a random and complex microstructure. This study presents a
computational framework and methodology for realistic representation, simulation, and …

Image-based parametric finite element modelling for studying contact mechanics in human knee joints

R Readioff, R Seil, C Mouton, L Marks, O Barrera - bioRxiv, 2023 - biorxiv.org
Purpose This study presents a framework for generating patient-specific finite element
models, parameterised and optimised for contact mechanics from computed tomography …