Auflistung Nach Schlagwort "Sensor configurations"
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Model calibration of metsovo bridge using ambient vibration measurements from various construction phases
(2015)Available methods for structural model updating are employed to develop high fidelity models of the soil-foundation-structure of Metsovo bridge using ambient vibration measurements. The Metsovo bridge, the highest bridge ... -
Optimal experimental design for structural health monitoring applications
(2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ... -
Optimal sensor location for model parameter estimation in CFD
(2013)In this paper the optimal sensor location problem for the estimation of model parameters in computational fluid dynamics is presented. A Bayesian formulation is used to quantify the uncertainties in the model parameters ... -
Optimal sensor location methodology for structural identification and damage detection
(2006)Theoretical and computational issues arising in the selection of the optimal sensor configuration in structural dynamics are addressed. The information entropy is introduced to measure the performance of a sensor configuration. ... -
Optimal sensor placement for artificialA swimmers
(2019)Natural swimmers rely for their survival on sensors that gather information from the environment and guide their actions. The spatial organization of these sensors, such as the visual fish system and lateral line, suggests ... -
Robust optimal sensor configuration using the value of information
(2022)Sensing is the cornerstone of any functional structural health monitoring technology, with sensor number and placement being a key aspect for reliable monitoring. We introduce for the first time a robust methodology for ... -
Uncertainty calibration of large-order models of bridges using ambient vibration measurements
(2014)A computational efficient Bayesian inference framework based on stochastic simulation algorithms is presented for calibrating the parameters of large-order linear finite element (FE) models of bridges. The effectiveness ...