New site classification system and response spectra in Korean seismic code

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New site classification system and response spectra in Korean seismic code *Dong-Soo Kim 1), Satish Manandhar 2) and Hyung-Ik Cho 3) 1) Department of Civil and Environmental Engineering, KAIST, Daejeon 34141 Korea 2) Renewable Energy Group, KEPCO Research Institute, Daejeon 34056, Korea 3) Earthquake Research Center, KIGAM, Daejeon 34132, Korea 1) dskim@kaist.ac.kr ABSTRACT New site classification scheme and design response spectra (DRS) based on local site conditions were developed to produce reliable estimates of earthquake ground motion in Korea. The new site classification system adopted bedrock depth (H) and average V S of soil above the bedrock (V S,Soil ) as parameters for site classification because these two factors mostly affect site amplification, especially for shallow bedrock region such as Korea. The 20 m of depth to bedrock was selected as the initial parameter for site classification based on the trend of site coefficients obtained from the site-specific response analyses. The sites having H less than 20 m were sub-divided into two site classes using 260 m/s of V S,Soil, while the sites having H greater 20 m were sub-divided into two site classes at V S,Soil equal to 180 m/s. The proposed site classification system and the DRS were verified by centrifuge tests and using real earthquake data recorded in Korea. Dynamic centrifuge tests were performed to simulate the representative Korean site conditions, such as shallow depth to bedrock and short-period amplification characteristics, and the results corroborated the proposed DRS. Finally, recently-obtained Gyeongju earthquake records were incorporated for further verification of the proposed DRS. Three-main Gyeongju earthquakes, which have greater than 4.5 magnitude on Richter scale among a series of Gyeongju earthquakes, showed good agreement with the DRS in this study. To sum up, the proposed site classification system and DRS reasonably represented the site amplification characteristic of shallow bedrock condition in Korea and, thus, it is possible to conclude that the newly proposed seismic provisions are more reliable and superior to those defined in the current seismic code. 1. INTRODUCTION 1) Professor 2) Researcher 3) Senior Researcher

The effect of local soil condition on earthquake motions is one of the key issues in geotechnical earthquake engineering practice. Local soil either amplifies or attenuates seismic energy that reach the ground surface, thereby directly affecting the response of structures during an earthquake event. The 1985 Mexico City earthquake and 1989 Loma Prieta earthquake provided abundant evidence of local site amplification. For quantifying local site effects, response spectrum method is widely used around the world. This method has a convenience of clearly showing how a given structure will respond to complex ground motions. The current Korean seismic code (MOCT 1997) uses a site classification system and corresponding site coefficients that are similar to the 1994 and 1997 NEHRP provisions which were revised based on data recorded during Loma Prieta (1989) and Northridge (1994) earthquakes in the western United States (BSSC 1997). However, site coefficients derived from earthquakes recorded under considerably different site and seismicity conditions cannot represent the actual motions of ground and structures in other regions. According to recent researches performed in Korea (Sun et al. 2005, Kim and Yoon 2006, Lee et al. 2012), the site coefficients obtained from site response analyses of inland areas of the Korean peninsula were significantly different from the current Korean seismic codes. Naturally, the spectral acceleration obtained from the site response analyses also contrasted with the design response spectra (DRS) in the current Korean seismic code. Therefore, suitable site coefficients based on local site conditions in the Korean peninsula are required to produce reliable estimates of earthquake ground motion. In general, 30 m is the typical depth for borings and detailed site characterization at a number of regions, including the western US (Anderson et al. 1996). Therefore, many countries have adopted the soil parameter V S,30, which indicates the mean shear wave velocity for the top 30 m of soil, as a criterion for site classification (BSSC 1997, MOCT 1997, CEN 2004, ICC 2012). This kind of site classification system is acceptable for regions with relatively deep bedrock and soil sites with a gradual transition from soil to hard rock, both of which are common geologic conditions in the western US. However, the system may not be acceptable for regions with bedrock located at depths less than 30 m from ground level and with abrupt transitions from soil to much stiffer rock, both of which are common in Korea. In regions of shallow bedrock, site investigations are often performed down to the bedrock, so the depth to bedrock is clearly defined, and V S values can generally be determined for the soil layers and bedrock for the site response analysis. In this study, new site classification scheme and design response spectra were developed based on site-specific response analyses of more than 300 Korean soil sites. The database of input parameters for the site-specific response analyses are briefly described. The newly proposed site classification scheme utilizes bedrock depth (H) and average V S of soil above the bedrock (V S,Soil ) as parameters for site classification for shallow bedrock regions. The new design response spectra, which are proposed based on the new classification parameters, are compared with those proposed for the site categories in other seismic codes and verified by both dynamic centrifuge tests and recently-obtained Gyeongju earthquake records. 2. DATABASE FOR SITE RESPONSE ANALYSIS

Table 1. Information on bedrock depth (H), V S,30, V S,Soil and T G of 300 sites S C site class S D site class S E site class Min. Max. Ave. Min. Max. Ave. Min. Max. Ave. H (m) 1.0 22.5 11.3 9.0 30.0 18.6 14.0 30.0 26.9 V S,30 (m/s) 364.5 744.5 480.1 182.0 358.2 312.2 65.6 179.8 141.0 V S,Soil (m/s) 134.9 633.2 295.2 138.7 346.9 223.2 65.6 179.5 127.1 T G (s) 0.16 0.33 0.26 0.33 0.66 0.39 0.67 1.83 0.92 For the site-specific response analyses, a total 300 subsurface geologic profiles were collected from all over the Korean peninsula. Of the 300 sites, 100 sites each are classified under site classes S C, S D, and S E based on V S,30, according to the current code. The bedrock depth, V S,30, V S,Soil and natural period (T G ) of 300 sites are summarized in Table 1. Site response analysis was performed using the SHAKE 91 program (Idriss and Sun 1992) for estimating ground motions at the 300 sites. Design rock outcrop accelerations were 0.110 g, 0.154 g, 0.220 g and 0.286 g corresponding to earthquake return periods of 500 years, 1000 years, 2400 years, and 4800 years, respectively, according to the Korean seismic hazard map. As there is lack of strong ground motions in Korea, eight accelerograms recorded at various site conditions were used as input motions in site response analysis, such that the average input motion is compatible with the DRS of reference site class S B. Fig. 1 shows the response spectra of input motions along with the DRS of S B site class. The soil non-linear deformation characteristics expressed in terms of normalized modulus reduction curves (G/G max logγ) and damping ratio curves (D-logγ) were used for representative soil types in Korea (Kim and Choo 2001, Sun et al. 2005). Fig. 1 Response spectra on input motions compared with the design response spectrum of reference site class S B (all motions scaled to 0.154 g)

3. NEW SITE CLASSIFICATION SYSTEM AND DESIGN RESPONSE SPECTRA 3.1 Development of New Site Classes based on H and V S,Soil The most important factors affecting site amplification are H and V S of soil (Rodriquez-Marek et al. 2001). The transfer function ( F 1 (ω) ), which describes soil amplification in parametric form as shown in Eq. (1), show that H and V S,Soil are fundamental variables that affect soil amplification, and hence they are ideal parameters for site classification of shallow bedrock sites. In this section, new site classification system is developed based on H and V S,Soil after analyzing trend and dispersion of site amplification coefficients obtained from site response analyses. F 1 (ω) = 1/ cos( ωh V S ) (1) Site coefficients were calculated for each SHAKE output from a total of 9600 SHAKE runs (300 sites, 4 rock outcrop accelerations, and 8 input motions) and were divided into short-period site coefficient (F a ) and long-period site coefficient (F v ). These coefficients were calculated from ratio of response spectra (RRS) for the soil surface and corresponding rock surface (Borcherdt, 1996; Dobry et al., 1999). The F a and F v values are determined using the average RRS curve obtained by averaging the RSS curves of eight input earthquake motions at a particular intensity. In order to develop a new site classification system, the trend and dispersion of the site coefficients were examined to group the sites having similar amplification characteristics. Initially, the bedrock depth (H) was used to divide the site into two groups. Based on the trends in variation of F a and F v values with site period, the H equal to 20 m was determined to be a reasonable boundary for dividing sites into two categories (H 20 m and H > 20 m). The first site class mostly contains shallow and stiff soils, whereas most sites in the second site class are relatively deep and soft. Next, the site classes were subdivided using V S,Soil. Based on the dispersion of F a and F v values with respect to V S,Soil, the boundaries corresponding to 260 m/s and 180 m/s were deemed appropriate for sub-dividing the sites. These boundaries were decided according to the average V S,Soil of the first and second site classes. Consequently, four new classes (S 2, S 3, S 4 and S 5 ) were formed for soil sites while the rock site is terminated as S 1 site class. Table 2 New seismic site classification system Site class Site description Parameters for classification Bedrock* depth, H (m) V S,Soil (m/s) S 1 Rock H < 1 - S 2 Shallow and stiff soil 260 m/s 1 H 20 S 3 Shallow and soft soil < 260 m/s S 4 Deep and stiff soil 180 m/s 20 < H S 5 Deep and soft soil < 180 m/s S 6 Special soil requiring site-specific evaluation

* Stratum showing a shear wave velocity higher than 760 m/s The site classification system is presented in Table 2. In this system, all sites in S 6 site class should perform site-specific evaluation of seismic response. Additionally, soil sites with V S,Soil 120 m/s are included in S 5 site class regardless of bedrock depth, as these sites are too soft to be included in the S 3 class. Likewise, very deep sites (H > 50 m) are included in the S 6 site class as these sites are rare in Korea (Lee et al. 2012, Sun et al. 2012). 3.2 Construction of Design Response Spectra based on Site Coefficients F a or v = 1 β α α β RS soil(t) dt RS rock (T) (2) The F a values for the four soil site classes listed in Table 3 were calculated using Eq. (2) from mean RRS curves, whereas the F v values were calculated using Eq. (2) from the mean+1σ RRS curves with an integration interval of 0.4-1.5 s. The adjustment of integration interval for F v value was needed to improve the DRS at long-period range for Korean site conditions (Kim and Yoon 2006, Lee et al. 2012). As the database of 300 sites had bedrock depth limited to 30 m, additional analyses of sites with bedrock depths between 30 m and 50 m were performed in this study. The coefficients listed in Table 3 represent modified coefficients after considering the deep bedrock sites (H = 30 ~ 50 m). In addition, the F a values for S 3 and S 4 site classes were also modified to exclude extremely high short-period amplification according to the level suggested in Eurocode 8. The site coefficients at different rock outcrop acceleration levels are included to account for the effects of soil non-linearity on the site coefficients. The F a and F v values are then used to construct the design response spectrum. 4. VERIFICATION 4.1 Dynamic Centrifuge Tests The dynamic free-field centrifuge test can be considered as one of the novel ways to circumvent the problem with lack of strong ground motions for direct evaluation of the seismic response during scenario earthquake events. In this section, dynamic free-field seismic tests were performed in centrifuge to study soil amplification of various types of soil. The free-field seismic response of centrifuge model was compared with the design response spectrum (DRS) proposed in this study for similar soil conditions. Table 3 Site coefficients* with respect to site class and rock outcrop acceleration levels Short-period site coefficient, F a Long-period site coefficient, F v Site class S** 0.1 S = 0.2 S = 0.3 S 0.1 S = 0.2 S = 0.3 S 2 1.4 1.4 1.3 1.5 1.4 1.3 S 3 1.7 1.5 1.3 1.7 1.6 1.5 S 4 1.6 1.4 1.2 2.2 2.0 1.8 S 5 1.8 1.3 1.3 3.0 2.7 2.4

* Use straight-line interpolation for intermediate values of S ** Effective peak acceleration (rock shaking intensity) Fig. 2 Evaluation of seismic response of centrifuge model ground Typical shallow bedrock condition in Korea was simulated in dynamic centrifuge tests. Fig. 2 shows configuration of the centrifuge model: a uniform sand model with sensors embedded at various depths. The height of the model was 60 cm at the model scale, and the centrifugal acceleration of 20 g and 40 g level was applied to the model. The model depth simulated prototype depths of 12 m and 24 m at 20 g and 40 g, respectively, according to the centrifuge scaling law. A series of two different tests was performed at different relative densities of 44 % and 81 %. The models were prepared using dry silica sand by air pluviation method. The centrifuge models were excited by the earthquake motions at 20 g, and then the tests were proceeded to the 40 g centrifugal acceleration. Four input earthquake motions: Morgan hill, Kobe, San Francisco and Northridge earthquakes were used for evaluating the seismic response at each centrifugal acceleration level. Table 4 shows the test information about soil depth (H), V S,30, V S,Soil, and T G of soil models at different centrifugal acceleration levels. The V S of the soil models was determined using bender elements array during the centrifuge tests as shown in Fig. 2. For determination of V S,30, the bedrock stiffness of 2000 m/s was assumed considering the stiffness of aluminum as the material of the model container. Based on the information tabulated in Table 4, the soil models were classified according to the site classification system in the current seismic code (MOCT 1997) and the new site classification system proposed in this study. Table 4 Information of dynamic centrifuge models Model Relative Target Simulated(prototype) site conditions # thickness density G-level Height V S,Soil V S,30 Site class (cm) (%) (g) (m) (m/s) (m/s) MOCT 1997 Proposed 1 60 81 20 12 194 423 S C S 3 40 24 234 284 S D S 4

2 44 20 12 157 352 S D S 3 40 24 204 249 S D S 4 (a) (b) Fig. 3. Comparison of response spectra from centrifuge tests with DRS (0.110 g) The response spectra obtained from the centrifuge tests were compared with the DRS from each seismic code as shown in Fig. 3. The free-field response spectrum of the earthquake motions at input acceleration levels of 0.110 g (500 year earthquake return period) in prototype scale was used for comparison. Because both uniform sand models having different relative densities were classified into S 3 site class at 20 g and S 4 site class at 40 g level, the response spectra from each test were combined for each site class proposed in this study. The average response spectra at the surface and the bedrock (base motion) for all the input earthquake motions were calculated and compared with the design response spectra. The average base motions are also compared with the reference site class S B as defined in the current Korean seismic code. Except the average base motion above 0.5 s period range for the sand model at 20 g, the average base motions are matched well with the DRS of S B site class. In order to consider the unavoidable effect, which is caused by the high impedance contrast at the soil-container interface, on free-field response, the average free-field response spectra were reduced for considering this effect quantitatively using one-dimensional numerical simulation of similar soil profiles as used in the centrifuge tests. The subsequent modified free-field response spectra is well covered by the DRS proposed in this study, but it fails to cover the peak spectral response at short-period range. Meanwhile, the current code underestimates the level of spectral acceleration and is limited in covering the spectral accelerations at short-periods when compared with the DRS proposed in this study. Hence, the DRS from this study is comparatively better than the current seismic code based on the results of the centrifuge tests. 4.2 The 2016 Gyeongju Earthquake Records On September 12, 2016, Korea experienced the biggest-ever earthquake since 1978, when government started monitoring seismic activity. A series of earthquakes having maximum M L 5.8 occurred continuously in the south-eastern Korean peninsula, Gyeongju (Kim et al. 2016). These earthquakes have shown that Korea is no longer safe against earthquakes. The provincial government of North Gyeongsang announced that property damage from strong earthquakes and hundreds of aftershocks in

Gyeongju amounts to 23 billion won ($20.8 million) including some 4,900 shattered rooftops and cracked walls and 32 human injuries. Fig. 4 Epicenters of three Gyeongju earthquakes, and adjacent seismic stations (a) (b)

Fig. 5 Normalized response spectra for three Gyeongju earthquakes: (a) MKL seismic station, (b) USN seismic station Despite these damages, the Gyeongju earthquakes provided a meaningful record for earthquake related research in Korea. Till now, Korea has been using oversea earthquake records for the development of ground motion for seismic design due to the lack of strong recorded ground motions. In this context, the Gyeongju earthquakes offered a great opportunity for evaluating related research in Korea. This allows for development and verification of DRS considering Korean geotechnical condition and earthquake amplification characteristics. Three-main Gyeongju earthquakes, which have greater than 4.5 magnitude on Richter scale among a series of Gyeongju earthquakes, were used in this study. The response spectra from the nearest soil and rock seismic stations around the epicenters (MKL and USN in Fig. 4) were normalized by y-intercept (i.e., PGA values) to exclude magnitude scale effects on the spectral accelerations as shown in Fig. 5. The normalized response spectra from the MKL seismic station were compared with normalized DRS curves of site class S B from the current seismic code and site class S 1 from the proposed site classification system. The normalized response spectra from the USN seismic station were also compared similarly. It can be seen that the amplification characteristics of the USN seismic station was governed by local site effect since the periods that cause maximum spectral accelerations were close to 0.1 s for three-main earthquakes. Unlike the MKL seismic station, where it can be confirmed that the station is installed on the rock condition because the station is installed and operated by KIGAM, the geological condition beneath the USN seismic station is unknown. Hence, at this point of time we have no choice but to infer that the USN seismic station might be placed on the soil site based on the comparison of response spectra. Further site investigate will be required for the correct identification of site condition of the USN seismic station. Nevertheless, it is possible to conclude that the new DRS adequately covers the real seismic response, especially the short-period amplification characteristics of Korean soil sites. 3. CONCLUSIONS In this paper, 1D equivalent-linear site response analyses were performed for 300 sites collected across Korea for generating design ground motions compatible with general site conditions in Korea. Using the results from the analyses, new site classification system, which includes four typical site classes, were developed based on H and timeaveraged V S,Soil as classification parameters. The DRS for the new site classes were verified by dynamic centrifuge tests and the 2016 Gyeongju earthquake records. The verification showed that the new site classification system and DRS reasonably represented the site amplification characteristic of shallow bedrock condition in Korea and, thus, it is possible to conclude that the newly proposed seismic provisions are more reliable and superior to those defined in the current seismic code. REFERENCES

Building Seismic Safety Council (BSSC) (1997). NEHRP recommended seismic provisions for new buildings and other structures, FEMA 302, Part 1 (Provisions), Washington, D.C. European Committee for Standardization (CEN) (2004). Eurocode 8: Design of structures for earthquake resistance, Part 1: General rules, seismic actions and rules for buildings, EN 1998-1:2004, Brussels, Belgium. International Code Council (ICC) (2012). International Building Code, Washington D.C. Ministry of Construction and Transportation (MOCT) (1997). Korean Seismic Design Standard, Seoul, Korea (in Korean). Borcherdt, R. (1996). Preliminary amplification estimates inferred from strong groundmotion recordings of the Northridge earthquake of January 17, 1994, Proceedings of International Workshop on Site Response Subjected to Strong Earthquake Motions, 1, 21-46. Dobry, R., Ramos, R., and Power, M. (1999). Site factors and site categories in seismic codes, Technical Multidisplinary Center for Earthquake Engineering Research, Report No. MCEER-99-0010, Buffalo, NY. Idriss, I., and Sun, J.I. (1992). User s Manual for SHAKE91, Center for Geotechnical Modeling, Department of Civil Engineering, University of California, Davis, CA. Kim, D.S., and Choo, Y.W. (2001). Deformation characteristics of hydraulic-filled cohesionless soils in Korea, Proceedings of the 4th International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics, San Diego, CA. Kim, D.S., and Yoon, J.K. (2006). Development of new site classification system for the regions of shallow bedrock in Korea, Journal of Earthquake Engineering, 10(3), 331-358. Kim, K.H., Kang, T.S., Rhie, J., Kim, Y., Park, Y., Kang, S.Y., and Kong, C. (2016). The 2 September 2016 Gyeongju earthquakes: 2. Temporary seismic network for monitoring aftershocks, Geosciences J., 20(6), 753-757. Lee, S.H., Sun, C.G., Yoon, J.K., and Kim, D.S. (2012). Development and verification of a new site classification system and site coefficients for regions of shallow bedrock in Korea, Journal of Earthquake Engineering, 16(6), 795-819. Rodriguez Marek, A., Bray, J.D., and Abrahamson, N.A. (2001). An empirical geotechnical seismic site response procedure, Earthquake Spectra, 17(1), 65-87. Sun, C.G., Han, J.T., and Cho, W. (2012). Representative shear wave velocity of geotechnical layers by synthesizing in-situ seismic test data in Korea, The Journal of Engineering Geology, 22(3), 293-307. Sun, C.G., Kim, D.S., and Chung, C.K. (2005). Geologic site conditions and site coefficients for estimating earthquake ground motions in the inland areas of Korea, Engineering Geology, 81(4), 446-469.