31 citations · 31 across the 4 of their papers we have counts for
5 papers
A 2.5D NURBS-Trace Infinite-Element Method for Moving-Load Wave Propagation and Soil--Structure Interaction in Semi-Infinite Ground
Yanhui Zhong, Hao Hong, Bei Zhang +3
For moving-load problems whose geometry and material properties are approximately invariant along the traveling direction, 2.5D analysis retains three displacement components at lo…
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids
Saurabh Deshpande, Hussein Rappel, Mark Hobbs +2
Many real-world applications demand accurate and fast predictions, as well as reliable uncertainty estimates. However, quantifying uncertainty on high-dimensional predictions is st…
A probabilistic peridynamic framework with an application to the study of the statistical size effect
Mark Hobbs, Hussein Rappel, Tim Dodwell
Mathematical models are essential for understanding and making predictions about systems arising in nature and engineering. Yet, mathematical models are a simplification of true ph…
Model selection and sensitivity analysis in the biomechanics of soft tissues: a case study on the human knee meniscus
Elsiddig Elmukashfi, Gregorio Marchiori, Matteo Berni +5
Soft tissues - such as ligaments and tendons - primarily consist of solid (collagen, predominantly) and liquid phases. Understanding the interaction between such components and how…
Bayesian inference for the stochastic identification of elastoplastic material parameters: Introduction, misconceptions and insights
Hussein Rappel, Lars A. A. Beex, Jack S. Hale +1
We discuss Bayesian inference (BI) for the probabilistic identification of material parameters. This contribution aims to shed light on the use of BI for the identification of elas…