dr.ir. R. Loendersloot (Richard)

Universitair hoofddocent


Engineering & Materials Science
Composite Materials
Composite Structures
Energy Harvesting
Strain Energy
Structural Health Monitoring


Keizers, L. S. , Loendersloot, R. , & Tinga, T. (2022). Atmospheric Corrosion Prognostics Using a Particle Filter. In Proceedings of the 32nd European Safety and Reliability Conference (ESREL 2022) (pp. 1259-1266) https://rpsonline.com.sg/rps2prod/esrel22-epro/html/R22-08-170.xml
Loendersloot, R. , Marinho, N. R., & Grooteman, F. (2022). Impact Damage Identification on Composite Structures. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring, EWSHM 2022, Volume 1 (Vol. 1, pp. 586-594). (Lecture Notes in Civil Engineering; Vol. 253 LNCE). Springer. https://doi.org/10.1007/978-3-031-07254-3_59
Alves da Silveira, N. N. , Loendersloot, R. , Meghoe, A. A. , & Tinga, T. (2021). Data Selection Criteria for the Application of Predictive Maintenance to Centrifugal Pumps. In Proceedings of the 6th European Conference of the Prognostics and Health Management Societ (pp. 372-380). (Archives of the PHM Society European Conference; Vol. 6, No. 1). http://papers.phmsociety.org/index.php/phme/article/view/2839
Meghoe, A. A., Jamshidi, A. , Loendersloot, R. , & Tinga, T. (2021). A hybrid predictive methodology for head checks in railway infrastructure. Proceedings of the Institution of Mechanical Engineers. Part F: Journal of rail and rapid transit, 235(10), 1312-1322. https://doi.org/10.1177/0954409721993611
Loendersloot, R., Ehsani, M., Sepehry, N., & Shamshirsaz, M. (2021). Numerical Modelling of Stochastic Fatigue Damage Accumulation in Thick Composites. In P. Rizzo, & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring: Special Collection of 2020 papers (Vol. 2, pp. 776-787). (Lecture Notes in Civil Engineering; Vol. 128). Springer. https://doi.org/10.1007/978-3-030-64908-1_72
Kalyanasundaram, H. , Loendersloot, R. , & Tinga, T. (2020). Development of a finite element model-based scenario analysis tool to support maintenance decisions on a bridge - A case study. In W. Desmet, B. Pluymers, D. Moens, & S. Vandemaele (Eds.), Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp. 1561-1571). Katholieke Universiteit Leuven. http://past.isma-isaac.be/isma2020/proceedings/program/

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Universiteit Twente
Faculty of Engineering Technology
Horst Complex (gebouwnr. 20), kamer N118
De Horst 2
7522LW  Enschede

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Universiteit Twente
Faculty of Engineering Technology
Horst Complex  N118
Postbus 217
7500 AE Enschede