Fragility analysis methods: Review of existing approaches and application

Fuzzy-driven strategy for fully automated modal analysis: Application to the SMART2013 shaking-table test campaign

Buildings with asymmetry and various classes of irregularity are found to be a major cause for collapses of structure, property loss, and casualties during earthquakes. Such observations ha...

Seismic Behavior of Plan and Vertically Irregular Structures: State of Art and Future Challenges

Validation of the PARC_CL 2.0 crack model for the assessment of the nonlinear behaviour of RC structures subjected to seismic action: SMART 2013 shaking table test simulation

SMART 2013: Lessons learned from the international benchmark about the seismic margin assessment of nuclear RC buildings

https://hal.archives-ouvertes.fr/hal-01634196/document

SMART 2013: Experimental and numerical assessment of the dynamic behavior by shaking table tests of an asymmetrical reinforced concrete structure subjected to high intensity ground motions

This paper presents a robust model updating strategy for correcting finite element models from datasets acquired in low-frequency dynamics. The proposed methodology is based on the minimization of a modified Constitutive Relation Error (mCRE) made of two terms: (i) a Hermitian data-to-model distance written in the frequency domain enriched with (ii) a CRE residual accounting for model bias with strong mechanical content. An automated L-curve based methodology is derived for tuning the relative weight of the two terms and improving the algorithm robustness to noise level. An extended formulation of the mCRE in terms of Power Spectral Density is also proposed: a data windowing preprocessing step ensures statistical consistency of the updated parameters when dealing with noisy random processes. The methodology is applied to two earthquake engineering examples. The performances of the methodology are assessed using synthetic measurements from a plane frame subjected to random ground acceleration. Actual measurements from the SMART2013 database are next processed to observe the eigenfrequency drop of a reinforced-concrete structure submitted to a sequence of gradually damaging shaking-table tests. In this last application, the corrected model predictions are in good correlation with former data-driven subspace-based identification results. 

/pdf/robust-energy-based-model-updating-framework-for-random-1gp04oq7.pdf

Robust energy-based model updating framework for random processes in dynamics: Application to shaking-table experiments

A new Kalman filter approach for structural parameter tracking: Application to the monitoring of damaging structures tested on shaking-tables

A hybrid frequency-temporal reduced-order method for nonlinear dynamics

/pdf/merging-experimental-design-and-structural-identification-2y55b782.pdf

Merging experimental design and structural identification around the concept of modified Constitutive Relation Error in low-frequency dynamics for enhanced structural monitoring

Pierre-Etienne Charbonnel

Papers

SMART 2013: Experimental and numerical assessment of the dynamic behavior by shaking table tests of an asymmetrical reinforced concrete structure subjected to high intensity ground motions

Robust energy-based model updating framework for random processes in dynamics: Application to shaking-table experiments

A new Kalman filter approach for structural parameter tracking: Application to the monitoring of damaging structures tested on shaking-tables

A hybrid frequency-temporal reduced-order method for nonlinear dynamics

Merging experimental design and structural identification around the concept of modified Constitutive Relation Error in low-frequency dynamics for enhanced structural monitoring