Damage Detection and Localization in a Full-Scale Slice of a Seven-Story Shear Wall Building Tested on the UCSD-NEES Shake Table

Rahmani, Mohammadtaghi; Todorovska, Maria I.; Grabinski, Jaime R.; Ebrahimian, Mahdi

doi:10.1061/jsendh.steng-11440

Cited by 2 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is implemented by making the elasticity constants G i and E i complex-valued. The trust region algorithm for nonlinear least squares estimation was applied (Rahmani et al, 2023).…”

Section: Methods and Datamentioning

confidence: 99%

“…The ratio R i = G i / E i is indicative of the nature of the deformation of the beam, with very small values indicating predominantly shear behavior. In principle, severe damage can affect the nature of the beam and treating both c S , i and c L , i as unknowns may produce better fit (Rahmani et al, 2023). However, as no damage was observed in the building, we set R i to constant values to reduce the number of unknowns in the estimation.…”

Section: Methods and Datamentioning

confidence: 99%

See 1 more Smart Citation

Variability in parameter estimation for a tall steel-frame building

Rahmani,

Barjani,

Todorovska

2023

Earthquake Spectra

Self Cite

View full text Add to dashboard Cite

The between-event variability in identified shear wave velocities of fitted four-layer beam models in the response of a 54-story steel-frame building during nine earthquakes over a period of 27 years (1992–2019) is investigated. Recorded response and simulated response by its digital twin (linear finite element model with fixed base) were used as input, that is, the real structure and its digital twin were identified. Two surrogate models were fitted, a Timoshenko beam and a shear beam. The waveform inversion of impulse response functions method, developed earlier by the authors, was used to fit the beam models. The coefficients of variation (C.V.) of the between-events variability in the wave velocity estimates of the four layers were analyzed and compared for the different cases of data (real structure versus digital twin), different surrogate models, and different locations on the floor where the motions were observed. The results showed that the variability of the digital twin was affected by the contamination of the response by torsion, which is not accounted for in the beam models, by the degree of geometric regularity of the structure and by how closely the beam model represented the nature of the building deformation (balance of shear and bending deformation). These effects were minor in comparison to the nonlinear effects (recoverable nonlinearity and permanent stiffness degradation), which were not present in the digital twin response. The C.V. for the real structure (about 3%–5%) was comparable for both beam models fitted.

show abstract

“…It is implemented by making the elasticity constants G i and E i complex-valued. The trust region algorithm for nonlinear least squares estimation was applied (Rahmani et al, 2023).…”

Section: Methods and Datamentioning

confidence: 99%