Multivariate uncertainty analysis of fracture problems through model order reduction accelerated SBFEM

X Shen, C Du, S Jiang, P Zhang, L Chen - Applied Mathematical Modelling, 2024 - Elsevier
Abstract An efficient Monte Carlo simulation (MCS) method that analyses the influences of
multivariate uncertain parameters on the response of cracked structures is proposed. The …

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 …

Uncertainty quantification of mechanical property of piezoelectric materials based on isogeometric stochastic FEM with generalized nth-order perturbation

L Chen, H Li, Y Guo, P Chen, E Atroshchenko… - Engineering with …, 2024 - Springer
This paper proposes a novel generalized n th-order perturbation isogeometric finite-element
method (GNP-IGA-FEM) for uncertainty quantification of mechanical properties of …

Enhancing deep neural networks for multivariate uncertainty analysis of cracked structures by POD-RBF

X Shen, C Du, S Jiang, L Sun, L Chen - Theoretical and Applied Fracture …, 2023 - Elsevier
Abstract An efficient Monte Carlo (MC) simulation method is proposed to address
multivariate uncertainties in the dynamic fracture analysis of cracked structures. Deep neural …

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 …

[HTML][HTML] Magneto-deformation and transverse elastic waves in hard-magnetic soft laminates

Q Zhang, S Rudykh - Mechanics of Materials, 2022 - Elsevier
We study the magneto-mechanical behavior of periodic laminates made of hard-magnetic
active elastomers (HMAEs). We formulate the amended free-energy function for HMAEs, and …

An open-source FEniCS-based framework for hyperelastic parameter estimation from noisy full-field data: Application to heterogeneous soft tissues

A Elouneg, D Sutula, J Chambert, A Lejeune… - Computers & …, 2021 - Elsevier
We introduce a finite-element-model-updating-based open-source framework to identify
mechanical parameters of heterogeneous hyperelastic materials from in silico generated full …

[HTML][HTML] Post-buckling development in soft particulate composites

D Chen, Y Xiang, N Arora, Q Yao, J Li, S Rudykh - Composite Structures, 2023 - Elsevier
In this paper, we investigate the post-buckling development of instability-induced patterns in
soft particulate composites. Upon reaching the critical strain level, the composite …

[HTML][HTML] Quantifying the uncertainty in a hyperelastic soft tissue model with stochastic parameters

P Hauseux, JS Hale, S Cotin, SPA Bordas - Applied Mathematical …, 2018 - Elsevier
We present a simple open-source semi-intrusive computational method to propagate
uncertainties through hyperelastic models of soft tissues. The proposed method is up to two …