All Outputs (3)

The Estimation of Taylor-Quinney Coefficients Using Small Ring Specimens (2022)
Journal Article
Lavie, W., Rouse, J. P., & Hyde, C. J. (2023). The Estimation of Taylor-Quinney Coefficients Using Small Ring Specimens. Experimental Mechanics, 63, 429-443. https://doi.org/10.1007/s11340-022-00920-z

Background: The use of the Taylor-Quinney coefficient for introducing a thermal dissipation term into material models relies on understanding its dependencies. These are usually determined through extensive experimentation, wherein temperature variat... Read More about The Estimation of Taylor-Quinney Coefficients Using Small Ring Specimens.

An inverse analysis method for determining abradable constitutive properties (2022)
Journal Article
Lye, R., Bennett, C., Rouse, J., & Zumpano, G. (2022). An inverse analysis method for determining abradable constitutive properties. Materials Today Communications, 33, Article 104571. https://doi.org/10.1016/j.mtcomm.2022.104571

Abradable coatings enable small tip clearances within gas turbine engines to be achieved. These coatings allow blades to cut their ideal paths during engine running-in and act as a sacrificial layer during unforeseen blade-casing interactions, minimi... Read More about An inverse analysis method for determining abradable constitutive properties.

A probabilistic data assimilation framework to reconstruct finite element error fields from sparse error estimates: Application to sub-modeling (2022)
Journal Article
Rouse, J. P., Kerfriden, P., & Hamadi, M. (2022). A probabilistic data assimilation framework to reconstruct finite element error fields from sparse error estimates: Application to sub-modeling. International Journal for Numerical Methods in Engineering, 123(23), 5826-5853. https://doi.org/10.1002/nme.7090

The present work proposes a computational approach that recovers full finite element error fields from a small number of estimates of errors in scalar quantities of interest. The approach is weakly intrusive and is motivated by large scale industrial... Read More about A probabilistic data assimilation framework to reconstruct finite element error fields from sparse error estimates: Application to sub-modeling.