Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

By E. Lourens, Costas Papadimitriou, Steven Gillijns, Edwin Reynders, Guido De Roeck, Geert Lombaert. 2012

284 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Mechanics, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/0b5240986f9ac1fa4c777f225efd75c7adf84f5b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Geert Lombaert
2. Eleni N. Chatzi
3. Costas Papadimitriou
4. Saeed Eftekhar Azam
5. K. V. Nimmen
6. Edwin Reynders
7. E. Lourens
8. Guido De Roeck

In Computational Mechanics

1. Costas Papadimitriou
2. Eleni N. Chatzi

In Mechanical Engineering

1. Edwin Reynders
2. Geert Lombaert
3. Guido De Roeck
4. Costas Papadimitriou
5. Saeed Eftekhar Azam
6. Eleni N. Chatzi
7. Michael I. Friswell

Citations in the corpus

• A dual Kalman filter approach for state estimation via output-only acceleration measurements (2015, methodology): “Moreover, it can be observed that the accumulation of the double integration errors imposes a diverging estimation of the integral quantity of displacement for the GDF; the same trend, namely drift due to low frequency components stemming from double integration errors is also reported in [27].”
• Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics (2015, methodology): “The forces are then not the true forces acting on the structure but equivalent forces that compensate for any unknown source of vibration [16].”