Skip to Main content Skip to Navigation
New interface
Theses

From accelerometric records to the dynamic behavior of existing buildings

Abstract : The aim of this thesis is to simulate the time history response of a high rise building under seismic excitation and provide simplified methodologies that properly reproduce such response. Firstly, a detailed three-dimensional finite element model is produced to validate its reliability to simulate the real behavior of the building during ground motions, recorded using accelerometers. It is proposed to improve the accuracy of the numerical model by imposing multiple excitations, considering rocking effect and spatial variability on the input motion. The use of empirical Green's functions is proposed to simulate the seismic response directly from past event records, without the need of construction drawings and mechanical parameters calibration. A stochastic summation scheme, already used to predict ground motions, is adopted to generate synthetic signals at different heights of the building, extending the wave propagation path from the ground to the structure. A simplified representation of the building as a homogeneous Timoshenko beam is proposed to simulate the seismic response directly from ambient vibration records. Equivalent mechanical parameters are identified using deconvolution interferometry in terms of wave dispersion, natural frequencies and shear to compressional wave
Document type :
Theses
Complete list of metadata

https://theses.hal.science/tel-01627564
Contributor : ABES STAR :  Contact
Submitted on : Thursday, March 29, 2018 - 9:39:17 AM
Last modification on : Thursday, August 4, 2022 - 4:58:10 PM
Long-term archiving on: : Thursday, September 13, 2018 - 11:30:06 AM

File

2016AZUR4071.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-01627564, version 2

Collections

Citation

Guillermo Wenceslao Fernández Lorenzo. From accelerometric records to the dynamic behavior of existing buildings. Other. Université Côte d'Azur, 2016. English. ⟨NNT : 2016AZUR4071⟩. ⟨tel-01627564v2⟩

Share

Metrics

Record views

609

Files downloads

99