An identification procedure of soil profile characteristics from two free field acclerometer records

Experimental Validation of an Identification Procedure of Soil Profile Characteristics from Free Field Acceleration Records

“…Oskay and Zeghal (2011) have also summarized previous works on the identification technique used to estimate soil properties from strong motion records. Harichane et al (2005) and Harichane (2005) proposed a new approach using system identification theory and free field records, for identifying simultaneously soil profile characteristics of two sites. The proposed new approach is based, firstly, on a formulation of a theoretical transfer function or soil amplification function for two sites in terms of the different parameters of the soil profile layers (thickness, damping ratio, shear wave velocity, and unit weight).…”

“…In other hand, transfer functions, or ratios of the Fourier amplitude spectra of input and output acceleration couples, have been widely used to estimate natural frequencies of vibration and associated wave propagation velocities of sites, earth dams, and other systems (Oskay & Zeghal, 2011). In the new approach (Harichane et al, 2005), the amplification function is smoothed with its analogous one obtained from experimental data (spectral ratios) by means of least squares minimization technique according to the Levenberg-Marquart algorithm. The identification of the parameters is performed by solving numerically a non linear optimisation problem.…”

“…The identification of the parameters is performed by solving numerically a non linear optimisation problem. The numerical efficiency and the validity of this procedure have been demonstrated by Harichane et al (2005) for a single soil profile with experimental data recorded within the Garner Valley Downhole Array (GVDA) (Archuleta et al, 1992)…”

Development of an inverse analysis framework for extracting dynamic soil behavior and pore pressure response from downhole array measurements

“…Reduction of the stiffness of the soil at large strains and large excess pore pressures was identified, but the soil behavior identified by this method only represents averaged behavior between two points of measurements. Parametric system identification approaches such as the time‐domain method and frequency domain method have proven successful in providing better estimates of the soil dynamic properties, but are still limited in their capabilities. For example, the frequency domain method can identify the equivalent shear stiffness and damping of the system for any level of dynamic excitation, but cannot identify the variation of these parameters in time.…”

A Wavelet-based Seismogram Inversion Algorithm for the In Situ Characterization of Nonlinear Soil Behavior

“…However, soil behavior identified by this method only reflects the averaged soil behavior between consecutive receivers, interpreted as a homogeneous equivalent linear medium. Parametric system identification has been also applied to downhole array data (GLASER and BAISE, 2000;ELGAMAL et al, 2001;HARICHANCE et al, 2005), and while providing better estimates of dynamic soil properties compared to the linear interpolation approach, is an approach with multiple limitations. The frequency domain formulation can only identify the constant equivalent stiffness and damping of the system, and not the variation of these quantities with time.…”