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The prediction of crack propagation in coarse grain RR1000 using a unified modelling approach (2020)
Journal Article
Engel, B., Rouse, J., Hyde, C., Lavie, W., Leidermark, D., Stekovic, S., Williams, S., Pattison, S., Grant, B., Whittaker, M., Jones, J., Lancaster, R., & Li, H. (2020). The prediction of crack propagation in coarse grain RR1000 using a unified modelling approach. International Journal of Fatigue, 137, 105652. https://doi.org/10.1016/j.ijfatigue.2020.105652

© 2020 Elsevier Ltd The polycrystalline nickel-base superalloy RR1000 is used as turbine rotor material in Rolls-Royce aero engines and has to withstand a wide variety of load and temperature changes during operation. In order to maximize the potenti... Read More about The prediction of crack propagation in coarse grain RR1000 using a unified modelling approach.

A viscoelastic – viscoplastic material model for superalloy applications (2020)
Journal Article
Rouse, J. P., Engel, B., Hyde, C. J., Pattison, S. J., Whittaker, M. T., Jones, J. P., Cockings, B., & Barnard, N. C. (2020). A viscoelastic – viscoplastic material model for superalloy applications. International Journal of Fatigue, 136, Article 105579. https://doi.org/10.1016/j.ijfatigue.2020.105579

© 2020 Elsevier Ltd An understanding of rate dependency over a wide range of time scales is vitally important in approximating the transient response of critical components operating in extreme environments. Many examples of viscoplastic model formul... Read More about A viscoelastic – viscoplastic material model for superalloy applications.

Bayesian Reconstruction of Goal Orientated Error Fields in Large Aerospace Finite Element Models (2020)
Presentation / Conference Contribution
Bonney, M. S., Evans, R., Rouse, J., Jones, A., & Hamadi, M. (2020, February). Bayesian Reconstruction of Goal Orientated Error Fields in Large Aerospace Finite Element Models. Presented at AerospaceEurope Conference 2020 (AEC2020), Bordeaux, France

A major difficulty in the mechanical simulation of large aerospace structures is the multi-scale nature of modern designs due to, at least in part, the increased use of composite materials. "Thin" materials are typically idealised by shell elements i... Read More about Bayesian Reconstruction of Goal Orientated Error Fields in Large Aerospace Finite Element Models.

The identification of failure initiation hotspots in idealised composite material component models using a “bottom-up database” method (2019)
Presentation / Conference Contribution
Zou, X., Yan, S., Rouse, J., Matveev, M., Li, S., Jones, I. A., Hamadi, M., & Fouinneteau, M. (2018, June). The identification of failure initiation hotspots in idealised composite material component models using a “bottom-up database” method. Presented at ECCM 2018 - 18th European Conference on Composite Materials, Athens, Greece

© CCM 2020 - 18th European Conference on Composite Materials. All rights reserved. Idealisations are inevitable for finite element simulations of complex composite structures especially airframes, where laminates are commonly modelled using shell ele... Read More about The identification of failure initiation hotspots in idealised composite material component models using a “bottom-up database” method.

The Prediction of isothermal cyclic plasticity in 7175-T7351 aluminium alloy with particular emphasis on thermal ageing effects (2018)
Journal Article
Wing Cheong, M. L., Rouse, J., Hyde, C., & Kennedy, A. (2018). The Prediction of isothermal cyclic plasticity in 7175-T7351 aluminium alloy with particular emphasis on thermal ageing effects. International Journal of Fatigue, 114, 92-108. https://doi.org/10.1016/j.ijfatigue.2018.05.010

Rapid thermal ageing has been observed in the literature for certain aerospace aluminium alloys under conditions which are foreseeable in their intended component applications. While several experimental programs have explored this phenomenon in the... Read More about The Prediction of isothermal cyclic plasticity in 7175-T7351 aluminium alloy with particular emphasis on thermal ageing effects.