Searched for: author%3A%22Fallais%2C+D.J.M.%22
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document
Lourens, E. (author), Fallais, D.J.M. (author)
Kalman-type filters for coupled input-state estimation can be used to estimate the full-field dynamic response of structures from only a limited set of vibration measurements. The use of these coupled estimators allows for response prediction to be performed in the absence of any knowledge of both the dynamic evolution and spatial...
journal article 2019
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Lourens, E. (author), Fallais, D.J.M. (author)
For the monitoring of large structures where the loading is typically characterized by large uncertainties in temporal and/or spatial evolution, algorithms capable of estimating a set of response driving equivalent forces are strongly desired. In this context, several Kalman-type coupled input-state and coupled input-state-parameter filters...
conference paper 2017
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Fallais, D.J.M. (author), Voormeeren, S.N. (author), Lourens, E. (author)
For reliable structural health monitoring and possible lifetime extension of offshore wind turbine support structures, accurate predictions of the response of these structures at all critical locations are required. Response predictions in offshore wind applications are, however, affected by large uncertainties on environmental (wind/wave...
journal article 2016
document
Fallais, D.J.M. (author)
Identifying unknown forces and system parameters belongs to the field of force and system identification. A specific area of this field is concerned with performing this identification based on physical models and measurable response data. The physical model which is used for this so called model-based identification has to resemble the...
master thesis 2015
Searched for: author%3A%22Fallais%2C+D.J.M.%22
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