Publications and communications of Arnst, Maarten

Denoël, V.* , Bruyère, O.* , Louppe, G., Bureau, F., D'ORIO, V., Fontaine, S., Gillet, L., Guillaume, M., Haubruge, E., Lange, A.-C., Michel, F., Hulle, R. V., Arnst, M., Donneau, A.-F.* , & Saegerman, C.*. (04 March 2022). Decision-based interactive model to determine re-opening conditions of a large university campus in Belgium during the first COVID-19 wave. Archives of Public Health, 80 (1). doi:10.1186/s13690-022-00801-w

Coheur, J., Torres-Herrador, F., Chatelain, P., Mansour, N., Magin, T., & Arnst, M. (2021). Analytical solution for multi-component pyrolysis simulations of thermal protection materials. Journal of Materials Science. doi:10.1007/s10853-020-05727-8

Torres-Herrador, F.* , Coheur, J.* , Panerai, F., Magin, T., Arnst, M., Mansour, N., & Blondeau, J. (2020). Competitive kinetic model for the pyrolysis of the Phenolic Impregnated Carbon Ablator. Aerospace Science and Technology. doi:10.1016/j.ast.2020.105784

Arnst, M. (2020). Elements of stochastic processes 2019-2020: course material.

Bulthuis, K., Pattyn, F., & Arnst, M. (25 June 2019). Estimation of confidence regions for random excursion sets with application to large-scale ice-sheet simulations. Paper presented at UNCECOMP 2019: 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Hersonissos, Greece.

Liegeois, K., Boman, R., Phipps, E., Mertens, P., Krasikov, Y., & Arnst, M. (25 June 2019). Ensemble propagation for efficient uncertainty quantification: Application to the thermomechanical modeling of a first mirror for the ITER core CXRS diagnostics. Paper presented at UNCECOMP 2019 / 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering.

Liegeois, K., Boman, R., Phipps, E., & Arnst, M. (25 April 2019). Efficient parametric computations using ensemble propagation for high dimensional finite element models. Paper presented at CÉCI Scientific Meeting.

Bulthuis, K., Arnst, M., Sun, S., & Pattyn, F. (24 April 2019). Uncertainty quantification of the multi-centennial response of the Antarctic Ice Sheet to climate change. The Cryosphere, 13, 1349-1380. doi:10.5194/tc-13-1349-2019

Bulthuis, K., Arnst, M., Sainan, S., & Pattyn, F. (11 March 2019). Uncertainty Quantification of the Multi-centennial Response of the Antarctic Ice Sheet to climate change. Paper presented at SIAM Conference on Mathematical & Computational Issues in the Geosciences (GS19), Houston, United States.

Liegeois, K., Boman, R., Phipps, E., & Arnst, M. (28 February 2019). Ensemble Propagation for Efficient Uncertainty Quantification of Mechanical Contact Problems. Paper presented at SIAM Conference on Computational Science and Engineering.

Liegeois, K., Boman, R., Phipps, E., Wiesner, T., & Arnst, M. (17 April 2018). On the Ensemble Propagation for Efficient Uncertainty Quantification of Mechanical Contact Problems. Paper presented at SIAM Conference on Uncertainty Quanti cation 2018.

Bulthuis, K., Arnst, M., Pattyn, F., & Favier, L. (16 April 2018). Stochastic Modeling of Uncertainties in Fast Essential Antarctic Ice Sheet Models. Paper presented at SIAM Conference on Uncertainty Quantification 2018, Garden Grove (Los Angeles), United States - California.

Coheur, J., Magin, T., Chatelain, P., & Arnst, M. (April 2018). Bayesian Inference on Uncertain Kinetic Parameters for the Pyrolysis of Composite Ablators. Paper presented at SIAM Conference on Uncertainty Quantification (UQ18), Los Angeles, United States.

Hoang Truong, V., Wu, L., Golinval, J.-C., Arnst, M., & Noels, L. (April 2018). Stochastic multiscale model of MEMS stiction accounting for high order statistical moments of non-Gaussian contacting surfaces. Journal of Microelectromechanical Systems, 27 (2), 137-155. doi:10.1109/JMEMS.2018.2797133

Bulthuis, K., Arnst, M., & Pattyn, F. (2017). Modelling ice flow for large-scale ice-sheet simulations.

Arnst, M. (August 2017). Guiding model improvement in dynamic substructuring: sensitivity analysis and nonparametric probabilistic modeling approach. Paper presented at ICOSSAR 2017 International Conference on Structural Safety & Reliability.

Liegeois, K., Boman, R., Mertens, P., Panin, A., Phipps, E., & Arnst, M. (19 July 2017). Ensemble propagation for efficient uncertainty quantification on emerging architectures: Application to thermomechanical contact. Poster session presented at Quantification of Uncertainty: Improving Efficiency and Technology, Trieste, Italy.

Hoang Truong, V., Wu, L., Paquay, S., Golinval, J.-C., Arnst, M., & Noels, L. (June 2017). A computational stochastic multiscale methodology for MEMS structures involving adhesive contact. Tribology International, 110, 401-425. doi:10.1016/j.triboint.2016.10.007

Bulthuis, K., Arnst, M., Pattyn, F., & Favier, L. (April 2017). Uncertainty quantification of Antarctic contribution to sea-level rise using the fast Elementary Thermomechanical Ice Sheet (f.ETISh) model. Paper presented at European Geosciences Union General Assembly 2017, Vienna, Austria.

Coheur, J., Arnst, M., Chatelain, P., & Magin, T. (01 March 2017). Uncertainty Quantification of Aerothermal Flow Simulation Through Low-Density Ablative Thermal Protection Materials. Poster session presented at 8th VKI PhD Symposium, Rhode-Saint-Genèse, Belgium.

Bulthuis, K., Arnst, M., Pattyn, F., & Favier, L. (05 September 2016). Instability and abrupt changes in marine ice sheet behaviour. Paper presented at 1st CRITICS Workshop and Summer School on Critical Transitions in Complex Systems, Kulhuse, Denmark.

Arnst, M. (09 June 2016). Sensitivity analysis of parametric uncertainties and modeling errors in generalized probabilistic modeling. Paper presented at ECCOMAS European Congress on Computational Methods in Applied Sciences and Engineering.

Arnst, M., Liegeois, K., Boman, R., & Ponthot, J.-P. (18 May 2016). Comparison of interval and stochastic methods for uncertainty quantification in metal forming. Paper presented at ICOMP International Conference on COmputational methods in Manufacturing Processes.

Arnst, M., Abello Álvarez, B., Boman, R., & Ponthot, J.-P. (26 May 2015). Parametric uncertainty quantification in the presence of modeling errors: Bayesian approach and application to metal. Paper presented at UNCECOMP International Conference on Uncertainty Quantification in Computational Sciences and Engineering, Crète, Greece.

Arnst, M. (May 2015). Nonintrusive probabilistic quantification of uncertainties with application to the management of manufacturing tolerances. Paper presented at IE-net Managing, handling, and modeling uncertainty in mechanical design.

Lucas, V., Wu, L., Arnst, M., Golinval, J.-C., Paquay, S., & Noels, L. (27 August 2014). Prediction of meso-scale mechanical properties of poly-silicon materials. Paper presented at EMMC14 - European Mechanics of Materials Conference 2014, Gothenburg, Sweden.

Hoang Truong, V., Wu, L., Arnst, M., Golinval, J.-C., Muller, R., Voicu, R., & Noels, L. (26 June 2014). A probabilistic model of the adhesive contact forces between rough surfaces in the MEMS stiction context. Paper presented at 6th International Conference on Advanced Computational Methods in Engineering, ACOMEN 2014, Ghent, Belgium.

Lucas, V., Wu, L., Arnst, M., Golinval, J.-C., Paquay, S., Nguyen, V. D., & Noels, L. (2014). Prediction of macroscopic mechanical properties of a polycrystalline microbeam subjected to material uncertainties. In Á. Cunha, E. Caetano, P. Ribeiro, & G. Muller (Eds.), Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014 (pp. 2691-2698).

Arnst, M. (31 March 2014). UQ Benchmark Problems for Multiphysics Modeling. Paper presented at SIAM Conference on Uncertainty Quantification, Savannah, Georgia, United States.

Arnst, M., & Ponthot, J.-P. (2014). An overview of nonintrusive characterization, propagation, and sensitivity analysis of uncertainties in computational mechanics. International Journal for Uncertainty Quantification, 4, 387-421. doi:10.1615/Int.J.UncertaintyQuantification.2014006990

Lucas, V., Wu, L., Arnst, M., Golinval, J.-C., Paquay, S., & Noels, L. (December 2013). Probabilistic model for MEMS micro-beam resonance frequency made of polycrystalline linear anisotropic material. Paper presented at 5th Asia Pacific Congress on Computational Mechanics & 4th International Synposium on Computational Mechanics APCOM & ISCM 2013, Singapore, Singapore.

Arnst, M. (2007). Inversion of probabilistic models of structures using measured transfer functions. Unpublished doctoral thesis, Ecole Centrale Paris, Chatenay-Malabry, France.
Jury: Clouteau, D. (Promotor), Bonnet, M. (Promotor), Le Tallec, P., Andrieux, S., Degrande, G., Ghanem, R., Soize, C., & Tarantola, A.