###### Abstract
(2022) [14] established a theoretical calculation method of NSF based on the effective stress method, and after comparison with experimental data to prove its reliability, the finite element method was used to establish a computer model to investigate the effects of factors such as consolidation time, consolidation pressure, drainage conditions, and pressure ratio on NSF. In the past, a series of studies mainly focused on the influence of pile top load, consolidation settlement, pile diameter and pile type, groundwater level and other factors on NSF. The generation of NSF is mainly triggered by static conditions, with less research under the action of vibration load, and because the physical and mechanical properties of soft soil are more special, the research results on the NSF of pile foundations in soft soil sites under the action of earthquakes are less, and the development of NSF in soft soil sites in earthquake traps is not clear enough. In the literature [15; 16; 17; 18], it is highlighted that the seismic hazard is related to the local geological characteristics and geotechnical site conditions, and that local site characteristics can alter the ground motion characteristics and the effect of seismic-soil-pile-superstructure-interaction (SSPSI) under seismic loading. It is also pointed out in the literature [19] that the damage mechanism of pile foundations in clay sites, where cyclic softening is the main damage feature, is significantly different from that of wet loess sites, where water softening is the main damage feature, and sand sites, where liquefaction is the main damage feature. Therefore, soil conditions are also one of the important factors affecting NSF. However, field tests of NSF are time consuming, and soft clay soils are difficult to sample and structurally vulnerable, so model soils need to be used instead in shaking table tests. For example, [PERSON] et al. (1963) [20] were the first to develop a mixture of kaolin and bentonite in a 3:1 ratio with a water content of approximately 200% for shaking table modeling of the seismic response of earth embankments; [PERSON] et al. (1973) [21] used kaolin, silicate cement, and bentonite to model Lake Champlain clay; [PERSON] et al. (1987) [22] added reinforcement to bentonite to prepare an overconsolidated clay and used it to perform shaking table tests of a pile-soil model; [PERSON] et al. (2018) [23] used a mixture of kaolin and bentonite to prepare soft soils by varying the proportion of bentonite mass in order to understand the effect of salinity on the normalized compression behaviour of clays with different mineral compositions. However, the literature (2019) [24] points out that there are also significant differences in the mineral composition and engineering properties of soft soils from different regions. In response to the above, a similar material proportion that can effectively simulate the dynamic properties of the prototype soft soil in the Binhai area of Tianjin was determined in this paper, and a model soft soil was prepared according to the appropriate moisture content. Meanwhile, a single pile shaking table test under the soft soil site was carried out to obtain the preliminary development pattern of the NSF under the seismic soft soil site and to analyze the effect of the frequency and PGA of the sine wave on the NSF.