dr.ir. R. Loendersloot (Richard)

Engineering & Materials Science

# Composite Materials
# Composite Structures
# Energy Harvesting
# Helicopters
# Monitoring
# Skin
# Strain Energy
# Structural Health Monitoring

Faculty of Engineering Technology (ET), Applied Mechanics & Data Analysis (AMDA)

Gergely, A. (2022). Development of Sensor Technology & Maintenance Concepts for Corrosion-Related Maintenance. University of Twente.

Schwarz, M. M. , Anbalagan, S. N., Jagers, S. , & Loendersloot, R. (2021). Implementing Industry 4.0 in Steel Manufacturing’s Evolving IIoT Systems. Iron and Steel Technology, 18(9), 154-162. [PR-TN1221-1]. https://doi.org/10.33313/TR/1221

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

Keizers, L. S. , Loendersloot, R. , & Tinga, T. (2021). Unscented Kalman Filtering for Prognostics Under Varying Operational and Environmental Conditions. International Journal of Prognostics and Health Management, 12(2), 1-20. https://doi.org/10.36001/ijphm.2021.v12i2.2943

Mostafa, N. , Di Maio, D. , Loendersloot, R. , & Tinga, T. (2021). Extracting the time-dependent resonances of a vehicle–bridge interacting system by wavelet synchrosqueezed transform. Structural control & health monitoring, 28(12), 1-24. [e2833]. https://doi.org/10.1002/stc.2833

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

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/

Mostafa, N. , Di Maio, D. , & Loendersloot, R. (2020). Vehicle Bridge Interaction – Extracting the dynamic characteristics of the non-stationary train passing phase. 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. 1511-1523)

Sanchez Ramirez, A. (2020). On the complexity of failure: a functional approach to vibration analysis. University of Twente. https://doi.org/10.3990/1.9789036550246

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