Effect of shaking strength on the seismic response of liquefiable level ground

Shaking strength is one of the most important parameters that characterize earthquake events. In the past, it was common to apply shaking of different strengths consecutively on a soil model to investigate the effect of shaking level on seismic ground response, without considering the effect of loading history. In this study, a series of dynamic centrifuge tests under different shaking levels was performed on “fresh” saturated sand models with the same initial conditions to investigate the effect of shaking strength on the seismic response of liquefiable level ground. The experimental observations indicate the following effects, (1) Shaking strength has pronounced effect on the excess pore pressure buildup in the saturated sand deposit. The maximum excess pore pressure at the deep part of the deposit increased by 184% and 109% as the peak input acceleration along the X direction increased from approximately 0.064g to 0.098g and from 0.098g to 0.189g, respectively. (2) Shaking strength has significant effect on the development of shear strain in soil. However, the permanent settlement is sensitive to the shaking strength at low-shaking level, but the increment rate tends to slow down as the shaking strength becomes stronger. (3) The peak acceleration along the X direction at the ground surface was 0.126, 0.079 and 0.087g at peak input accelerations of 0.064, 0.098, and 0.189g, respectively. The peak acceleration at the ground surface under slight shaking was greater than that under strong shaking. (4) The amplification pattern of acceleration varied continuously during shaking. The amplification factor decreased quickly as the excess pore pressure accumulated under strong shaking, but continued to increase at an early stage under low-strength earthquake. The natural frequency of the soil column also evolved with the development of the shaking-induced excess pore pressure, which had adversely affected the wave propagation and ground response. The data presented in this paper enrich the ground response database and can be used to validate the current site-response analysis methods.