Damping of Dry Sand in Resonant Column-Torsional Simple Shear Device

Majd Ahmad () and Richard Ray
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Majd Ahmad: Structural and Geotechnical Engineering Department, Faculty of Architecture, Civil and Transport Sciences Széchenyi István University, 9026 Győr, Hungary
Richard Ray: Structural and Geotechnical Engineering Department, Faculty of Architecture, Civil and Transport Sciences Széchenyi István University, 9026 Győr, Hungary

Sustainability, 2023, vol. 15, issue 14, 1-13

Abstract: The damping ratio values of three different Danube sands were measured in the Resonant Column-Torsional Simple Shear device (RC-TOSS). The distinctive configuration of the RC-TOSS device employed in this investigation enabled the performance of both tests using a single sample. This research estimates and compares the damping ratio values measured with three distinct methods (two of which are in the RC test): The Free Vibration Decay (FVD), the Steady-State Vibration (SSV) methods, and the method of calculating the damping ratio from the hysteretic loops generated in the TOSS test. Both dense and loose samples were tested up to a peak-to-peak amplitude shear strain of 1%. The device provides measurements over a wide range of shear strain amplitudes. The results support the employment of the SSV methods at low strains (below 0.005%), while the FVD method gives a better estimate at higher strains (above 0.03%). The two methods and the TOSS results are in agreement with each other between 0.005% and 0.03%. The effect of the number of cycles on the damping ratio was investigated where a significant decrease was observed in the damping ratio with an increasing number of cycles. A parameter is introduced to describe the rate of this decrease, which should be considered during the structural design to reduce maintenance and life-cycle costs and enhance sustainability.

Keywords: resonant column test; torsional simple shear test; damping ratio; steady-state vibration; free vibration decay (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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