The small strain shear modulus (G0) is an important characteristic of geomaterials. Its laboratory measurements are very frequently based on bender element transducers installed in different geotechnical apparatuses. Despite their widespread use, there is room to improve the precision, reproducibility, and robustness of bender element measurements, which are currently hampered by an oversimplified interpretatio...
The small strain shear modulus (G0) is an important characteristic of geomaterials. Its laboratory measurements are very frequently based on bender element transducers installed in different geotechnical apparatuses. Despite their widespread use, there is room to improve the precision, reproducibility, and robustness of bender element measurements, which are currently hampered by an oversimplified interpretatio...
"Available online 28 December 2020"; Hybrid-Trefftz finite elements are well suited for modeling the response of materials under highly transient loading. Their approximation bases are built using functions that satisfy exactly the differential equations governing the problem. This option embeds relevant physical information into the approximation basis and removes the well-known sensitivity of the conventional...
Bender elements are shear wave transducers, used for the experimental identification of the small-strain shear moduli of geomaterials. They offer good coupling with the sample and controllable loading signal and frequency, but the interpretation of their readings poses considerable difficulties. This study lays the foundations for a coupled, numerical-experimental approach to this issue, using hybrid-Trefftz fi...
We present a new model updating technique for the automatic calculation of the small strain shear modulus of geomaterials, based on bender element experiments. The technique searches for the shear modulus that maximizes the correlation between the output signal obtained from the experiment and the output signal acquired from its computational simulation. Instead of conventional extremum finding algorithms, a fi...