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1. Introduction
The influence of site conditions on earthquake damage has been recognized widely [1–5]. For example, the 1906 San Francisco earthquake caused markedly severe damage on soft soil foundations throughout the city [6, 7]. During the 1975 Haicheng earthquake in China [1], the damage of brick chimneys in Yingkou city and Panjin district was equivalent to that of Haicheng County and Dashiqiao, while the damage of typical brick houses in Haicheng County and Dashiqiao was far more severe than that in Yingkou city and Panjin district; this difference was related to the thicker overburden layer in the former areas. During the 1976 Tangshan earthquake [1], the seismic damage of two areas in Tianjin was quite different. The survey results showed that the site of the area suffering lighter damage consisted of a soft intercalation of mucky clay at a depth of approximately 10 m. In particular, the earthquake that occurred in Mexico on 19 September 1985 further demonstrated that site conditions have a significant impact on earthquake damage [8]. During this earthquake, Mexico City, which was 400 km away from the epicentre, suffered severe damage, far exceeding the damage that occurred in the area around the city. The analysis results showed that Mexico City is located in a deep and weak sedimentary basin, which caused the amplification of seismic motion and the lengthening of the duration of strong seismic motion. The destructive earthquakes that occurred in the last 2 decades [9], such as Nepal 2015, Chile 2010, Sichuan 2008, and Kocaeli 1999, proved that the influence of local site conditions on the earthquake damage is substantial when compared to travel path effects and the effects induced by the proximity of earthquake sources.
The damage of earthquake was found to be very selective of site conditions [10–14] which generally refer to local geological conditions, such as the near-surface soil layer, topography, and fracture zones. Existing studies [10, 15–18] have shown that the impact of site conditions on seismic damage is due to their significant ground motion amplification or deamplification effect. The influence of the near-surface soil layer on seismic effects has attracted a lot of research due to its widespread impact and the large number of sites involved, and the research studies focused on the formation age [6, 7, 19–21], genetic type [22–25], thickness variability [26–28], structure [29–34], and dynamic characteristics of overlying soil layers [35–39]. Although many studies on site effects have been performed at home and abroad and the results are remarkable, there are few studies of the influence of hard interlayers on the site seismic response. In this paper, the one-dimensional seismic response analysis of a nuclear power plant site underlying a hard interlayer was performed to discuss the influence of the hard interlayer thickness on the site seismic response, in order to provide a basis on which the ground motion parameters for seismic design of similar sites will be determined. The site of this research is one of several soft soil sites in China’s industry-specific projects for the further understanding of the impact of hard interlayers on ground motions. Thus, we confirm that the research in this manuscript has a certain reference value for understanding the characteristics of ground motions at similar sites.
2. Site Description and Input Ground Motions
2.1. Site Description
The site involved is a typical site for nuclear power plant site selection on soft soil site in China. It was found that there is a thick hard interlayer under the soft layer. Because of the importance of the project, it is necessary to study the influence of the hard interlayer on the seismic response of the site. For the confidentiality requirements of the nuclear engineering site, the specific location information is not convenient to disclose. The data derived from our in-situ tests and laboratory tests of the site are given in Table 1 and Figure 1. The site consists of a soft layer of silty clay and silty sand from the surface to a depth of 44.3 m, beneath which the hard interlayer composed of basalt and volcanic breccia continues to a depth of 198 m. Beneath the thick hard interlayer, a soft layer shows up again and extends to over 337.5 m with the measured shear wave velocity reaching 730 m/s at a depth of 337.5 m. According to the code for evaluation of seismic safety for engineering sites of China [40], the surface of the bedrock determined by drilling or the surface of the layer with the shear wave velocity not less than 700 m/s should be used as the input interface of ground motion for class-I site when establishing the one-dimensional site seismic response analysis model. Therefore, we chose the interface at the depth of 337.5 m as the interface of input ground motion, which is called the computational basis of the model.
Table 1
Information regarding soil strata collected from drilling results.
No. | Depth (m) | Soil property | Thickness (m) | Density (t/m3) | Category number |
1 | 3.9 | Silty clay | 3.9 | 1.81 | 1 |
2 | 13.4 | Silty sand | 9.5 | 1.93 | 2 |
3 | 17 | Silty clay | 3.6 | 1.93 | 3 |
4 | 21 | Silty clay | 4 | 1.89 | 4 |
5 | 25.2 | Silty clay | 4.2 | 1.89 | 5 |
6 | 32 | Silty clay | 6.8 | 1.89 | 4 |
7 | 38 | Silty clay | 6 | 2.04 | 6 |
8 | 42.7 | Silty clay | 4.7 | 1.96 | 7 |
9 | 44.3 | Silty sand | 1.6 | 1.92 | 8 |
10 | 92.9 | Basalt | 48.6 | 2.51 | 18 |
11 | 198 | Volcanic breccia | 105.1 | 2.51 | 18 |
12 | 204 | Silty clay | 6 | 2.06 | 9 |
13 | 216 | Silty clay | 12 | 2.02 | 10 |
14 | 279 | Silty clay | 63 | 2.07 | 11 |
15 | 309.8 | Silty clay | 30.8 | 2.05 | 12 |
16 | 311.1 | Silt sand | 1.3 | 2.06 | 13 |
17 | 337.5 | Silty clay | 26.4 | 2.06 | 14 |
18 | — | Silty clay | — | 2.55 | 19 |
It can be seen from Figure 1 that the shear wave velocity of the hard interlayers of the nuclear power plant site was about 1429 m/s–2499 m/s, which was more than twice that of underlying silty clay and overlying silty sand. From qualitative analysis point of view, the hard interlayer has a high wave impedance ratio relative to the underlying and overlying soil layer, which will have a significant reflection effect on upward and downward ground motion, and the site amplification effect mainly depends on the overlying soil layer on the hard interlayer. In addition, the thick silty clay layer will show strong nonlinearity under the strong ground motion, and the thicker hard interlayer and soil layer will also have a significant impact on the lower-frequency ground motion.
2.2. Input Seismic Motion
The thick hard interlayer and soil layer of the analysis model will influence a wide frequency band of the site earthquake response, which means that not only the high-frequency seismic motion but also the low-frequency (long-period) seismic motion will be influenced. Therefore, the input seismic motions with a relatively wider band were selected. Based on this, the east-west acceleration record obtained from a near-field strong motion station in Qingping, Mianzhu (approximately 3 km from the fault), during the Wenchuan Ms8.0 earthquake was selected as the seismic motion input [41], and its peak acceleration is 824.1 gal. The input acceleration time history and the corresponding acceleration response spectra are shown in Figure 2. From Figure 2, it can be seen that the input seismic motions have a wider frequency band, especially the abundant long-period components with a response spectrum of 25.6 gal at the period of 20 s. To consider the influence of the hard interlayer on the seismic response of soil layers under different input ground motions, the peak accelerations of the actual ground motions were scaled to 50 gal, 100 gal, and 200 gal.
[figures omitted; refer to PDF]
3. Site Seismic Response Results
One-dimensional analysis (i.e., assuming horizontal soil layers, boundaries of infinite lateral extension, and vertically propagating shear waves) has proved adequately to model the propagation of the seismic waves through the soil profile (e.g., [42, 43]). Then, the equivalent linear method for the one-dimensional site response analysis has been widely used in both research and engineering practices (e.g., [9, 17, 36, 42–44]) due to its simplicity, flexibility, and robustness. Based on this method, many calculation programs are implemented and improved day by day, such as the SHAKE91 [45], ProShake [46], DEEPSOIL [47], and our LSSRLI-1 [48, 49] which has the same basic theory, and the validity of LSSRLI-1 was verified and compared with that of SHAKE91 and DEEPSOIL by Ma and Ding [50] Therefore, the one-dimensional seismic site response calculation of the nuclear power plant site underlying a hard interlayer in this paper will be carried out by our program LSSRLI-1. In view of the relevant literature available for the verification of procedure, this paper does not provide a detailed introduction.
3.1. One-Dimensional Site Seismic Response Analysis Model
As shown in Table 1, the soil profile consists of 17 major layers. For the application of the one-dimensional equivalent linear method, these major layers were further divided into sublayers which were all assigned the same dynamic soil properties as the main layer. The thicknesses of the sublayers were chosen so that the site seismic response stability requirements of the time-domain method [51] in the LSSRLI-1 site seismic response calculation would be satisfied. Then, the one-dimensional analysis model for the equivalent linear method for site response analysis based on the partition of the major layers was established. Table 2 shows the composition of the one-dimensional analysis models, and the dynamic nonlinear parameter of different soil categories derived from the laboratory cyclic tests used in the analysis models is shown in Table 3.
Table 2
Analysis models and the corresponding soil mechanical parameters.
Sublayers | Soil property | Depth (m) | Thickness (m) | Shear wave velocity (m/s) | Density (t/m3) | Category number |
1 | Silty clay | 3.9 | 3.9 | 105 | 1.81 | 1 |
2 | Silty sand | 7.0 | 3.1 | 156 | 1.93 | 2 |
3 | 10.0 | 3.0 | 254 | 1.93 | 2 | |
4 | 13.4 | 3.4 | 289 | 1.93 | 2 | |
5 | Silty clay | 17.0 | 3.6 | 264 | 1.93 | 3 |
6 | 21.0 | 4.0 | 224 | 1.89 | 4 | |
7 | 25.2 | 4.2 | 218 | 1.89 | 5 | |
8 | Silty clay | 29.0 | 3.8 | 229 | 1.89 | 4 |
9 | 32.0 | 3.0 | 277 | 1.89 | 4 | |
10 | Silty clay | 35.0 | 3.0 | 312 | 2.04 | 6 |
11 | 38.0 | 3.0 | 333 | 2.04 | 6 | |
12 | 42.7 | 4.7 | 347 | 1.96 | 7 | |
13 | Silty sand | 44.3 | 1.6 | 357 | 1.92 | 8 |
14 | Basalt | 48.0 | 3.7 | 1249 | 2.51 | 18 |
15 | 52.0 | 4.0 | 1332 | 2.51 | 18 | |
16 | 56.0 | 4.0 | 1427 | 2.51 | 18 | |
17 | Basalt (silty clay) | 60.0 | 4.0 | 1428 (466) | 2.51 (1.96) | 18 (7) |
18 | 65.0 | 5.0 | 1470 (470) | 2.51 (1.96) | 18 (7) | |
19 | Basalt (silty clay) | 70.0 | 5.0 | 1470 (474) | 2.51 (1.96) | 18 (7) |
20 | 74.2 | 4.2 | 1481 (477) | 2.51 (1.96) | 18 (7) | |
21 | 80.0 | 5.8 | 1874 (482) | 2.51 (1.98) | 18 (15) | |
22 | Basalt (silty clay) | 85.0 | 5.0 | 2272 (486) | 2.51 (1.98) | 18 (15) |
23 | 90.2 | 5.2 | 2499 (491) | 2.51 (1.98) | 18 (15) | |
24 | 92.9 | 2.7 | 1500 (493) | 2.51 (1.98) | 18 (15) | |
25 | Volcanic breccia (silty clay) | 99.0 | 6.1 | 1463 (498) | 2.51 (1.98) | 18 (15) |
26 | 105.0 | 6.0 | 1463 (503) | 2.51 (1.98) | 18 (15) | |
27 | Volcanic breccia (silty clay) | 111.0 | 6.0 | 1463 (508) | 2.51 (1.98) | 18 (15) |
28 | 117.0 | 6.0 | 1552 (513) | 2.51 (1.98) | 18 (15) | |
29 | 123.0 | 6.0 | 1552 (518) | 2.51 (1.98) | 18 (15) | |
30 | Volcanic breccia (silty clay) | 129.0 | 6.0 | 1552 (524) | 2.51 (1.99) | 18 (16) |
31 | 135.0 | 6.0 | 1588 (529) | 2.51 (1.99) | 18 (16) | |
32 | 141.0 | 6.0 | 1588 (535) | 2.51 (1.99) | 18 (16) | |
33 | 147.0 | 6.0 | 1588 (540) | 2.51 (1.99) | 18 (16) | |
34 | Volcanic breccia (silty clay) | 153.0 | 6.0 | 1588 (546) | 2.51 (1.99) | 18 (16) |
35 | 159.0 | 6.0 | 1552 (551) | 2.51 (1.99) | 18 (16) | |
36 | 165.0 | 6.0 | 1552 (557) | 2.51 (1.99) | 18 (17) | |
37 | 171.0 | 6.0 | 1552 (563) | 2.51 (1.99) | 18 (17) | |
38 | Volcanic breccia (silty clay) | 177.0 | 6.0 | 1605 (569) | 2.51 (1.99) | 18 (17) |
39 | 183.0 | 6.0 | 1605 (574) | 2.51 (1.99) | 18 (17) | |
40 | 189.0 | 6.0 | 1552 (580) | 2.51 (1.99) | 18 (17) | |
41 | 195.0 | 6.0 | 1552 (586) | 2.51 (1.99) | 18 (17) | |
42 | 198.0 | 3.0 | 1552 (589) | 2.51 (1.99) | 18 (17) | |
43 | Silty clay | 204.0 | 6.0 | 601 | 2.06 | 9 |
44 | 210.0 | 6.0 | 603 | 2.02 | 10 | |
45 | 216.0 | 6.0 | 605 | 2.02 | 10 | |
46 | 222.0 | 6.0 | 608 | 2.07 | 11 | |
47 | 228.0 | 6.0 | 608 | 2.07 | 11 | |
48 | 234.0 | 6.0 | 608 | 2.07 | 11 | |
49 | 240.0 | 6.0 | 635 | 2.07 | 11 | |
50 | 246.0 | 6.0 | 635 | 2.07 | 11 | |
51 | 252.0 | 6.0 | 635 | 2.07 | 11 | |
52 | 260.0 | 8.0 | 667 | 2.07 | 11 | |
53 | Silty clay | 264.0 | 4.0 | 667 | 2.07 | 11 |
54 | 267.0 | 3.0 | 667 | 2.07 | 11 | |
55 | 270.0 | 3.0 | 688 | 2.07 | 11 | |
56 | 273.0 | 3.0 | 688 | 2.07 | 11 | |
57 | 276.0 | 3.0 | 688 | 2.07 | 11 | |
58 | 279.0 | 3.0 | 688 | 2.07 | 11 | |
59 | 282.0 | 3.0 | 706 | 2.05 | 12 | |
60 | 285.0 | 3.0 | 706 | 2.05 | 12 | |
61 | 288.0 | 3.0 | 706 | 2.05 | 12 | |
62 | 291.0 | 3.0 | 706 | 2.05 | 12 | |
63 | 294.0 | 3.0 | 706 | 2.05 | 12 | |
64 | 297.0 | 3.0 | 706 | 2.05 | 12 | |
65 | 300.0 | 3.0 | 715 | 2.05 | 12 | |
66 | 303.0 | 3.0 | 715 | 2.05 | 12 | |
67 | 306.0 | 3.0 | 715 | 2.05 | 12 | |
68 | 309.8 | 3.8 | 715 | 2.05 | 12 | |
69 | Silt sand | 311.1 | 1.3 | 715 | 2.06 | 13 |
70 | Silty clay | 315.0 | 3.9 | 715 | 2.06 | 14 |
71 | 318.0 | 3.0 | 730 | 2.06 | 14 | |
72 | 321.0 | 3.0 | 730 | 2.06 | 14 | |
73 | 324.0 | 3.0 | 730 | 2.06 | 14 | |
74 | 327.0 | 3.0 | 730 | 2.06 | 14 | |
75 | 330.0 | 3.0 | 730 | 2.06 | 14 | |
76 | 333.0 | 3.0 | 730 | 2.06 | 14 | |
77 | 337.5 | 4.5 | 730 | 2.06 | 14 | |
78 | Computational basis of the model | 730 | 2.55 | 19 |
Table 3
The dynamic nonlinear parameter of different soil categories.
Category number | Soil layer | Modulus ratio or damping ratio | Shear strain γ (10−4) | |||||||
0.05 | 0.1 | 0.5 | 1 | 5 | 10 | 50 | 100 | |||
1 | Silty clay | G/Gmax | 0.992 | 0.984 | 0.924 | 0.859 | 0.633 | 0.463 | 0.147 | 0.079 |
λ | 0.019 | 0.030 | 0.046 | 0.058 | 0.092 | 0.112 | 0.169 | 0.184 | ||
2 | Silt sand | G/Gmax | 0.992 | 0.984 | 0.925 | 0.861 | 0.664 | 0.497 | 0.165 | 0.090 |
λ | 0.004 | 0.007 | 0.025 | 0.036 | 0.074 | 0.120 | 0.239 | 0.273 | ||
3 | Silty clay | G/Gmax | 0.996 | 0.992 | 0.960 | 0.924 | 0.661 | 0.493 | 0.163 | 0.089 |
λ | 0.005 | 0.009 | 0.032 | 0.047 | 0.065 | 0.103 | 0.192 | 0.215 | ||
4 | Silty clay | G/Gmax | 0.993 | 0.987 | 0.937 | 0.881 | 0.718 | 0.560 | 0.203 | 0.113 |
λ | 0.004 | 0.007 | 0.028 | 0.045 | 0.060 | 0.098 | 0.204 | 0.236 | ||
5 | Silty clay | G/Gmax | 0.991 | 0.983 | 0.919 | 0.870 | 0.762 | 0.678 | 0.316 | 0.188 |
λ | 0.005 | 0.009 | 0.032 | 0.047 | 0.055 | 0.091 | 0.193 | 0.224 | ||
6 | Silty clay | G/Gmax | 0.994 | 0.989 | 0.946 | 0.897 | 0.728 | 0.572 | 0.211 | 0.118 |
λ | 0.005 | 0.009 | 0.030 | 0.041 | 0.062 | 0.086 | 0.189 | 0.228 | ||
7 | Silty clay | G/Gmax | 0.990 | 0.980 | 0.905 | 0.827 | 0.702 | 0.601 | 0.232 | 0.131 |
λ | 0.005 | 0.009 | 0.032 | 0.047 | 0.061 | 0.099 | 0.198 | 0.226 | ||
8 | Silt sand | G/Gmax | 0.989 | 0.978 | 0.947 | 0.906 | 0.822 | 0.716 | 0.371 | 0.227 |
λ | 0.005 | 0.009 | 0.032 | 0.037 | 0.054 | 0.083 | 0.186 | 0.282 | ||
9 | Silty clay | G/Gmax | 0.992 | 0.985 | 0.938 | 0.896 | 0.801 | 0.703 | 0.321 | 0.191 |
λ | 0.005 | 0.009 | 0.032 | 0.044 | 0.063 | 0.085 | 0.172 | 0.208 | ||
10 | Silty clay | G/Gmax | 0.993 | 0.986 | 0.943 | 0.905 | 0.834 | 0.763 | 0.439 | 0.281 |
λ | 0.005 | 0.010 | 0.034 | 0.048 | 0.068 | 0.081 | 0.157 | 0.179 | ||
11 | Silty clay | G/Gmax | 0.995 | 0.991 | 0.955 | 0.915 | 0.746 | 0.595 | 0.227 | 0.128 |
λ | 0.002 | 0.004 | 0.018 | 0.031 | 0.056 | 0.094 | 0.203 | 0.238 | ||
12 | Silty clay | G/Gmax | 0.996 | 0.991 | 0.958 | 0.919 | 0.813 | 0.685 | 0.303 | 0.179 |
λ | 0.002 | 0.004 | 0.018 | 0.030 | 0.050 | 0.083 | 0.180 | 0.211 | ||
13 | Silt sand | G/Gmax | 0.992 | 0.985 | 0.934 | 0.897 | 0.831 | 0.757 | 0.453 | 0.293 |
λ | 0.001 | 0.003 | 0.012 | 0.018 | 0.035 | 0.050 | 0.104 | 0.120 | ||
14 | Silty clay | G/Gmax | 0.989 | 0.978 | 0.913 | 0.876 | 0.782 | 0.701 | 0.413 | 0.262 |
λ | 0.017 | 0.025 | 0.041 | 0.044 | 0.053 | 0.066 | 0.128 | 0.189 | ||
15 | Silty clay | G/Gmax | 0.992 | 0.984 | 0.923 | 0.884 | 0.703 | 0.611 | 0.239 | 0.136 |
λ | 0.005 | 0.009 | 0.032 | 0.047 | 0.071 | 0.088 | 0.175 | 0.206 | ||
16 | Silty clay | G/Gmax | 0.993 | 0.986 | 0.935 | 0.886 | 0.713 | 0.624 | 0.249 | 0.142 |
λ | 0.002 | 0.005 | 0.022 | 0.038 | 0.075 | 0.093 | 0.198 | 0.242 | ||
17 | Silty clay | G/Gmax | 0.990 | 0.980 | 0.907 | 0.862 | 0.712 | 0.607 | 0.236 | 0.134 |
λ | 0.021 | 0.032 | 0.061 | 0.078 | 0.118 | 0.143 | 0.179 | 0.198 | ||
18 | Volcanic breccia | G/Gmax | 0.990 | 0.970 | 0.900 | 0.850 | 0.700 | 0.550 | 0.320 | 0.200 |
λ | 0.004 | 0.006 | 0.019 | 0.030 | 0.075 | 0.090 | 0.110 | 0.120 | ||
19 | Computational basis of the model | G/Gmax | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
λ | 0.050 | 0.050 | 0.050 | 0.050 | 0.050 | 0.050 | 0.050 | 0.050 |
For considering the influence of the hard interlayer on the site seismic response, the underlying silty clay (given in the brackets in Table 2) was used to replace the basalt and volcanic breccia to change the hard interlayer thickness so as to establish analytical models containing a hard interlayer of a different thickness, as shown in Table 4. The model 9 corresponded to the actual soil layer profile, while the thickness of the hard interlayer of model 8 is 126.7 m with the original volcanic breccia of layers 14 to 42 was replaced by silty clay. The mechanical parameters corresponding to the replacement silty clay are also given in the brackets in Tables 2 and 3, which were derived from the drilling data of the borehole nearby. The details of the remaining analysis models are provided in Table 4. The shear wave velocities of the replacement silty clay layer were determined according to equation (1), which was based on the statistical regression of the in-situ test shear wave velocity data. The statistical data sampling point and the regression relationship are shown in Figure 3.
Table 4
Information of the hard interlayer of analysis models.
Analysis models | Sublayers (44.3 m–198 m) | Thickness of hard interlayer (m) | ||||||||
14–16 | 17-18 | 19–21 | 22–24 | 25-26 | 27–29 | 30–33 | 34–37 | 38–42 | ||
Model 1 | Basalt | Silty clay | 11.7 | |||||||
Model 2 | Basalt | Silty clay | 20.7 | |||||||
Model 3 | Basalt | Silty clay | 35.7 | |||||||
Model 4 | Basalt | Silty clay | 48.6 | |||||||
Model 5 | Basalt | Volcanic breccia | Silty clay | 60.7 | ||||||
Model 6 | Basalt | Volcanic breccia | Silty clay | 78.7 | ||||||
Model 7 | Basalt | Volcanic breccia | Silty clay | 102.7 | ||||||
Model 8 | Basalt | Volcanic breccia | Silty clay | 126.7 | ||||||
Model 9 | Basalt | Volcanic breccia | 153.7 |
3.2. Site Response with Different Thicknesses of the Hard Interlayer
Table 5 lists the horizontal peak accelerations on the top of the hard interlayer and on the site surface, respectively. It can be seen that, under the same input seismic motions, the peak accelerations on the top of the hard interlayer were less than the input peak acceleration, while the peak accelerations on the site surface were greater than the input acceleration peak. From Table 1, a soft layer with a thickness of about 44.3 m was found to be between the hard interlayer and the site surface. These results indicate that the hard interlayer has obvious isolation effect on ground motion while the soft soil layer overlying the hard interlayer has a significant amplification effect on the seismic motion.
Table 5
The horizontal peak acceleration on the top of the hard interlayer and on the site surface under different input seismic motion levels.
Models | 50 gal input peak acceleration | 100 gal input peak acceleration | 200 gal input peak acceleration | |||
On the top of hard interlayer | On the site surface | On the top of hard interlayer | On the site surface | On the top of hard interlayer | On the site surface | |
Model 1 | 32.3 | 68.4 | 65.4 | 124.4 | 121.8 | 245.2 |
Model 2 | 32.4 | 64.3 | 64.8 | 122.8 | 116.5 | 235.0 |
Model 3 | 31.3 | 61.2 | 60.9 | 114.0 | 104.8 | 217.2 |
Model 4 | 29.5 | 61.3 | 57.0 | 106.7 | 96.0 | 206.5 |
Model 5 | 28.1 | 58.9 | 54.0 | 102.8 | 93.4 | 197.7 |
Model 6 | 25.3 | 58.9 | 48.0 | 116.5 | 90.0 | 199.9 |
Model 7 | 28.2 | 68.9 | 54.0 | 139.0 | 92.6 | 213.9 |
Model 8 | 26.1 | 80.3 | 46.8 | 150.2 | 98.1 | 250.8 |
Model 9 | 32.8 | 89.6 | 61.5 | 170.2 | 101.0 | 293.1 |
We further calculated the ratio between the input peak accelerations, the peak accelerations on the top of the hard interlayer, and the peak accelerations on the site surface of each model. The results (as shown in Figure 4) show that, under the same input seismic motion, the ratios of the peak accelerations on the top of the hard interlayer to the input peak accelerations (denoted as T/I) were smaller than 1.0 and the ratios of the peak accelerations on the site surface to the input peak accelerations (denoted as S/I) were greater than 1.0, which indicates that the overlying soil layers on the hard interlayer has obvious amplification effect on ground motion. Besides, with the increasing of the thickness of the hard interlayer, there is a general tendency of S/I to get bigger, showing that the hard interlayer thickness also has an amplification influence on the peak acceleration of the site seismic response. Under the condition of the same hard interlayer thickness, both S/I of models (except models 6 and 7) and T/I of models (except model 8) decreased with the larger input acceleration, which means that the greater the input peak acceleration is, the stronger the nonlinear effect of the site.
[figures omitted; refer to PDF]
As can be seen in Figure 4(b), under the same input seismic motion, the ratios of the peak accelerations on the site surface to those on the top of the hard interlayer (denoted as S/T) generally increased with the hard interlayer thickening, which indicated that the increase in the hard interlayer thickness reduced the nonlinear effect of the site and increased the site amplification effect on ground motion.
Figure 5 shows the acceleration response spectra on the top of the hard interlayer and on the site surface with different hard interlayer thicknesses under different input seismic motions. It can be seen that the acceleration response spectra for periods less than 8 s are significantly different, especially among the short periods. It indicates that the hard interlayer is more likely to affect the short-period acceleration response spectrum coordinates. Comparing the acceleration response spectrum coordinates under the same input seismic motion, both the acceleration response spectrum coordinates on the site surface and on the top of the hard interlayer showed a tendency to become higher with the increasing hard interlayer thickness. The acceleration response spectrum of 153.7 m hard interlayer thickness can be seen to be significantly higher than those with other hard interlayer thicknesses. This result shows that the thicker the hard interlayer is, the greater the influence on the short-period acceleration response spectrum coordinates.
[figures omitted; refer to PDF]
4. Conclusions
Numerical studies were performed to investigate the influence of the hard interlayer on the site seismic response. Nine one-dimensional analysis models were established in accordance with the engineering geological data of a nuclear power plant site for the site response analyses utilizing the equivalent linear method. The numerical results are as follows:
(1)
The peak accelerations on the top of the hard interlayer are less than the input peak accelerations, while the peak accelerations on the site surface are greater than the input peak accelerations under different input seismic motions and hard interlayer thicknesses.
(2)
With the increase in the hard interlayer thickness, the S/T generally shows a gradual trend of increase, which indicated that the increase in the hard interlayer thickness reduced the nonlinear effect of the site.
(3)
For the same hard interlayer thickness, S/I and T/I gradually decreased as the input peak acceleration increased. These characteristics mean that the higher the input peak acceleration is, the stronger the nonlinear effect of the site.
(4)
The hard interlayer had an obvious influence on the short-period acceleration response spectrum coordinates. The affected frequency band can be wider with the increase in the hard interlayer thickness.
Acknowledgments
The authors gratefully acknowledge the support of the National Natural Science Foundation of China (Grant nos. U1839203 and 41374049).
[1] Y. X. Hu, P. S. Sun, Z. Y. Zhang, Q. W. Tian, "Effects of site conditions on earthquake damage and ground motion," Earthquake Engineering and Engineering Vibration, vol. 1, pp. 35-41, 1980. in Chinese
[2] F. J. Sanchez-Sesma, "Site effects on strong ground motion," Soil Dynamics and Earthquake Engineering, vol. 6 no. 2, pp. 124-132, DOI: 10.1016/0267-7261(87)90022-4, 1987.
[3] J. S. Bo, X. L. Li, S. Y. Li, "Some progress of study on the effect of site conditions on ground motion," World Earthquake Engineering, vol. 23 no. 2, pp. 11-15, 2003. in Chinese
[4] D. M. Boore, "Can site response be predicted?," Journal of Earthquake Engineering, vol. 8 no. 1,DOI: 10.1080/13632460409350520, 2004.
[5] A. Sextos, R. D. Risi, A. Pagliaroli, "Local site effects and incremental damage of buildings during the 2016 Central Italy earthquake sequence," Earthquake Spectra, vol. 34 no. 4, pp. 1639-1669, DOI: 10.1193/100317eqs194m, 2018.
[6] R. D. Borcherdt, "Effects of local geology on ground motion near San Francisco Bay," Bulletin of the Seismological Society of America, vol. 60 no. 1, pp. 29-61, 1970.
[7] R. D. Borcherdt, J. F. Gibbs, "Effect of local geological conditions in the San Francisco Bay region on ground motions and the intensities of the 1906 earthquake," Bulletin of the Seismological Society of America, vol. 66 no. 2, pp. 467-500, 1976.
[8] H. B. Seed, M. P. Romo, J. I. Sun, A. Jaime, J. Lysmer, "The Mexico earthquake of September 19, 1985–relationships between soil conditions and earthquake ground motions," Earthquake Spectra, vol. 4 no. 4, pp. 687-729, DOI: 10.1193/1.1585498, 1988.
[9] D. Stanko, S. Markušić, S. Strelec, M. Gazdek, "Equivalent-linear site response analysis on the site of the historical Trakošćan castle, croatia using HVSR method," Environmental Earth Sciences, vol. 76 no. 18,DOI: 10.1007/s12665-017-6971-4, 2017.
[10] R. B. Seed, S. E. Dickenson, I. M. Idriss, "Principal geotechnical aspects of the 1989 loma prieta earthquake," Soils and Foundations, vol. 31 no. 1,DOI: 10.3208/sandf1972.31.1, 1991.
[11] S. Jeong, D. Asimaki, J. Dafni, J. Wartman, "How topography-dependent are topographic effects? complementary numerical modeling of centrifuge experiments," Soil Dynamics and Earthquake Engineering, vol. 116, pp. 654-667, DOI: 10.1016/j.soildyn.2018.10.028, 2019.
[12] N. Zhang, Y. Gao, R. Y. S. Pak, "Soil and topographic effects on ground motion of a surficially inhomogeneous semi-cylindrical canyon under oblique incident SH waves," Soil Dynamics and Earthquake Engineering, vol. 95, pp. 17-28, DOI: 10.1016/j.soildyn.2017.01.037, 2017.
[13] B. Pandey, R. S. Jakka, A. Kumar, "Influence of local site conditions on strong ground motion characteristics at Tarai region of Uttarakhand, India," Natural Hazards, vol. 81 no. 2, pp. 1073-1089, DOI: 10.1007/s11069-015-2120-0, 2016.
[14] O. A. Düzgün, A. Budak, "Effects of surface shapes and geotechnical conditions on the ground motion," KSCE Journal of Civil Engineering, vol. 19 no. 5, pp. 1336-1346, DOI: 10.1007/s12205-015-0304-5, 2015.
[15] S. Jeong, B. A. Bradley, "Amplification of strong ground motions at heathcote valley during the 2010-2011 canterbury earthquakes: observation and 1D site response analysis," Soil Dynamics and Earthquake Engineering, vol. 100, pp. 345-356, DOI: 10.1016/j.soildyn.2017.06.004, 2017.
[16] S. Hailemikael, L. Lenti, S. Martino, A. Paciello, D. Rossi, G. S. Mugnozza, "Ground-motion amplification at the Colle di Roio ridge, central Italy: a combined effect of stratigraphy and topography," Geophysical Journal International, vol. 206 no. 1,DOI: 10.1093/gji/ggw120, 2016.
[17] M. K. Akin, S. L. Kramer, T. Topal, "Dynamic soil characterization and site response estimation for Erbaa, Tokat (Turkey)," Natural Hazards, vol. 82 no. 3, pp. 1833-1868, DOI: 10.1007/s11069-016-2274-4, 2016.
[18] J. F. Semblat, M. Kham, E. Parara, "Seismic wave amplification: basin geometry vs soil layering," Soil Dynamics and Earthquake Engineering, vol. 25 no. 7–10, pp. 529-538, DOI: 10.1016/j.soildyn.2004.11.003, 2005.
[19] E. W. Woolery, Z. Wang, N. S. Carpenter, R. Street, C. Brengman, "The central United States seismic observatory: site characterization, instrumentation, and recordings," Seismological Research Letters, vol. 87 no. 1, pp. 215-228, DOI: 10.1785/0220150169, 2015.
[20] S. Hartzell, D. Carver, R. A. Williams, "Site response, shallow shear-wave velocity, and damage in Los Gatos, California, from the 1989 loma prieta earthquake," Bulletin of the Seismological Society of America, vol. 91 no. 3, pp. 468-478, DOI: 10.1785/0120000235, 2001.
[21] H.-C. Huang, C.-S. Shieh, H.-C. Chiu, "Linear and nonlinear behaviors of soft soil layers using Lotung downhole array in Taiwan," Terrestrial, Atmospheric and Oceanic Sciences, vol. 12 no. 3, pp. 503-524, DOI: 10.3319/tao.2001.12.3.503(t), 2001.
[22] A. Lessi-Cheimariou, I. J. Tromans, E. Rathje, C. Robertson, "Sensitivity of surface hazard to different factors and site response analysis approaches: a case study for a soft rock site," Bulletin of Earthquake Engineering, vol. 17 no. 1, pp. 73-96, DOI: 10.1007/s10518-018-0446-1, 2019.
[23] H. Li, J. B. Zhang, J. C. Wu, "Effects of soft and hard interlayers on ground motion characteristics," China Earthquake Engineering Journal, vol. 36 no. 3, pp. 441-445, 2014. in Chinese
[24] W. K. Hu, Q. J. Chen, "Response characteristic analysis of soil site with deep deposit under different bedrock seismic waves," Structural Engineers, vol. 26 no. 5, pp. 85-90, 2010. in Chinese
[25] W. H. Li, C. G. Zhao, "Analysis of seismic dynamic response of layered alluvial valleys with soft interlayer," Rock and Soil Mechanics, vol. 30 no. 1, pp. 45-51, 2009. in Chinese
[26] W. D. L. Finn, F. Ruz, "Amplification effects of thin soft-surface layers," Earthquake Spectra, vol. 32 no. 4, pp. 2109-2126, DOI: 10.1193/101914eqs164m, 2016.
[27] M. Badaoui, M. K. Berrah, A. Mebarki, "Soil height randomness influence on seismic response: case of an algiers site," Computers and Geotechnics, vol. 36 no. 1-2, pp. 102-112, DOI: 10.1016/j.compgeo.2008.04.001, 2009.
[28] G. X. Chen, J. H. Chen, "The effect of depth and thickness of soft soil layer on earthquake response for deep soft sites," World Earthquake Engineering, vol. 20 no. 3, pp. 66-73, 2004. in Chinese
[29] N. Glinsky, E. Bertrand, J. Régnier, "Numerical simulation of topographical and geological site effects. Applications to canonical topographies and rognes hill, south east France," Soil Dynamics and Earthquake Engineering, vol. 116, pp. 620-636, DOI: 10.1016/j.soildyn.2018.10.020, 2019.
[30] K. M. Yan, F. C. Liu, C. H. Zhu, Z. J. Wang, J. J. Zhang, "Dynamic responses of slopes with intercalated soft layers under seismic excitations," Chinese Journal of Rock Mechanics and Engineering, vol. 36 no. 11, pp. 2686-2698, 2017. in Chinese
[31] M. Massa, S. Barani, S. Lovati, "Overview of topographic effects based on experimental observations: meaning, causes and possible interpretations," Geophysical Journal International, vol. 197 no. 3, pp. 1537-1550, DOI: 10.1093/gji/ggt341, 2014.
[32] G. Wang, K. Huang, "Effects of surface soil on ground motion characters," Earthquake Engineering and Engineering Vibration, vol. 33 no. 5, pp. 33-40, 2013. in Chinese
[33] F. Gao, S. H. Yan, X. C. Chen, "Analyses on seismic responses of ground," Chinese Journal of Rock Mechanics and Engineering, vol. 22 no. s2, pp. 2789-2793, 2003. in Chinese
[34] J.-S. Bo, X.-L. Li, H.-S. Liu, Z.-Y. Wu, D.-D. Liu, "Effects of soil layer construction on characteristic periods of response spectra," Earthquake Engineering and Engineering Vibration, vol. 23 no. 5, pp. 42-45, 2003. in Chinese
[35] Q. Sun, X. Guo, D. Dias, "Evaluation of the seismic site response in randomized velocity profiles using a statistical model with monte carlo simulations," Computers and Geotechnics, vol. 120,DOI: 10.1016/j.compgeo.2020.103442, 2020.
[36] D.-K. Kim, H.-G. Park, C.-G. Sun, "Design earthquake response spectrum affected by shallow soil deposit," Advances in Civil Engineering, vol. 2019,DOI: 10.1155/2019/4079217, 2019.
[37] B. Hassani, A. Yong, G. M. Atkinson, T. Feng, L. Meng, "Comparison of site dominant frequency from earthquake and microseismic data in California," Bulletin of the Seismological Society of America, vol. 109 no. 3, pp. 1034-1040, DOI: 10.1785/0120180267, 2019.
[38] G. A. Parker, J. A. Harmon, J. P. Stewart, "Proxy-based VS30 estimation in central and eastern North America," Bulletin of the Seismological Society of America, vol. 107 no. 1, pp. 117-131, DOI: 10.1785/0120160101, 2017.
[39] W. Wang, Z.-H. Zhou, Y.-S. Wang, J.-S. Zhao, X.-J. Li, "Response of typical sites under different earthquake motion input levels," Rock and Soil Mechanics, vol. 32 no. 4, pp. 1089-1094, 2011. in Chinese
[40] GB17741–2005, Evaluation of Seismic Safety for Engineering Sites, 2005.
[41] Earthquake Disaster Prevention (China Seismological Bureau), Wenchuan 8.0 Earthquake Uncorrected Acceleration Records, 2008.
[42] I. M. Idriss, H. B. Seed, "Seismic response of horizontal soil layers," Journal of the Soil Mechanics and Foundations Division, vol. 94 no. 4, pp. 1003-1031, 1968.
[43] S. L. Kramer, Geotechnical Earthquake Engineering, 1996.
[44] W. Wang, Z. Zhou, Y. Wang, J. Zhao, "Equivalent linear method of seismic motion segment-input," Journal of Basic Science and Engineering, vol. 18, pp. 130-137, 2010. in Chinese
[45] I. M. Idriss, J. I. Sun, User’s Manual for SHAKE91: A Computer Program for Conducting Equivalent Linear Seismic Response Analyses of Horizontally Layered Soil Deposits, 1992.
[46] Proshake, EduPro Civil Systems, Inc, Sammamish, WA, USA, 2013
[47] Y. M. A. Hashash, Deep soil user manual and tutorial, 2020
[48] X. J. Li, Z. P. Liao, "Visco-elasto-plastic model of soil stress-strain relationship," Earthquake Engineering and Engineering Vibration, vol. 9 no. 3, pp. 65-72, 1989. in Chinese
[49] Z. P. Liao, Seismic Microzoning-Theory and Practice, 1990.
[50] J. L. Ma, H. P. Ding, "Comparison of general calculation programs for one-dimensional site seismic response based on equivalent linearization method," Technology for Earthquake Disaster Prevention, vol. 12 no. 4, pp. 725-742, 2017. in Chinese
[51] Z. P. Liao, Introduction to Wave Motion Theories in Engineering, 1996.
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Abstract
Based on the engineering geological data of a nuclear power plant site, nine engineering geological profiles were created with hard interlayers of different thicknesses. The equivalent linearization method of seismic motion segment-input used for one-dimensional nonlinear seismic response analysis was applied to study the effect of the interlayer thickness on the peak acceleration and the acceleration response spectra of the site seismic response. The results showed that there was an obvious influence of hard interlayer thickness on site seismic responses. With the increase of hard interlayer thickness, the site nonlinear effect on seismic responses decreased. Under the same thickness of the hard interlayer, the nonlinear effect of the site was strengthened with the higher input peak acceleration. In addition, the short-period acceleration response spectrum was found to be significantly influenced by the hard interlayer and showed that the longer the period, the less influence of the hard interlayer on the acceleration response spectrum coordinates. Moreover, the influenced frequency band was wider with the increase in the thickness of hard interlayer.
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Details

1 College of Transportation Science & Engineering, Nanjing Tech University, Nanjing 210009, China
2 Cores and Samples Center of Land & Resources, China Geological Survey, Sanhe, Hebei 065201, China
3 College of Transportation Science & Engineering, Nanjing Tech University, Nanjing 210009, China; College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China