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Stochastic filtering for damage identification through nonlinear structural finite element model updating
Rodrigo Astroza
, Hamed Ebrahimian, Joel P. Conte
Ingeniería Civil en Obras Civiles
Facultad de Ingeniería y Ciencias Aplicadas
Laboratorio de Dinámica Estructural e Ingeniería Sísmica
Doctorado en Ciencias de la Ingeniería
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Dive into the research topics of 'Stochastic filtering for damage identification through nonlinear structural finite element model updating'. Together they form a unique fingerprint.
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Mathematics
Damage Identification
100%
Model Updating
80%
Finite Element Model
63%
Filtering
49%
Unscented Kalman Filter
43%
Nonlinear Finite Element
36%
Reinforced Concrete
26%
Extended Kalman Filter
24%
Earthquake
21%
Framework
18%
Unknown
16%
Update
16%
Prognosis
11%
Estimate
11%
Narrative
9%
Damage
9%
Plasticity
9%
Invariant
9%
Mean square error
8%
Mechanics
7%
Fiber
7%
Verify
6%
Roots
6%
Output
6%
Motion
5%
Three-dimensional
5%
Modeling
5%
Alternatives
5%
Model
2%
Physics & Astronomy
Kalman filters
45%
damage
35%
earthquakes
17%
estimates
12%
prognosis
10%
root-mean-square errors
9%
stations
6%
plastic properties
6%
output
4%
fibers
3%
Engineering & Materials Science
Kalman filters
19%
Extended Kalman filters
14%
Earthquakes
12%
Reinforced concrete
11%
Plasticity
6%
Mean square error
6%
Mechanics
6%
Fibers
4%
Chemical Compounds
Filtration
42%
Plastic Property
9%
Error
6%