Applied Mechanics and Materials Vols 479-480 (2014) pp 1076-1080 © (2014) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/AMM.479-480.1076 Online: 2013-12-06 Site Response Analysis for a Site with the Dipping Bedrock and Liquefiable Layers using FLAC 3D Yuan-Chieh Wu1, a and Meng-Hsiu Hsieh 1, b 1 Institute of Nuclear Energy Research, Atomic Energy Council, Taoyuan 32546, Taiwan a ycwu@iner.gov.tw, bmarshall94216@iner.gov.tw Keywords: Site Response Analysis, Liquefaction, Nuclear power plant Abstract. To get the precise input motion for seismic analysis of important structures located in liquefiable soil layers, this study demonstrates site response analysis using FLAC 3D [1]. Based on the previous earthquake diaster experiences and regulatory requirements for nuclear power plants (NPP), the seismic wave propagation in the site having dipping bedrock surface was modeled, also the excess pore water pressure during excitation process was added into the soil elements. The free-field site response model is used to generate the response spectra at different ground surface locations, and to predict the influence range of soil liquefaction. The analysis results show that soil liquefaction could reduce site amplification effect, and might have different degree of impact depending on natural frequency and soil pressure resistance of structures. The 3D model also can capture the soil unceratinties and reflect the real topographic effect in one computer run, so the current multiple one-dimensional equivalent linear analysis process could be improved. Therefore, the FLAC 3D model can fulfill nuclear regulatory requirement, and provide suitable ground-motion prediction for liquefiable soil sites and complex bedrock surface sites for the need of seismic evaluations of existing NPPs after Fukushima Dai-ichi Tragedy. Introduction Soil liquefaction during large earthquake is a well-known phenomenon, and causes heavy damage particularly for life-line structure, for example, 2011 Fukushima earthquake, 2010 Canterbury earthquake, 2007 Chuetsu offshore earthquake causing the fire of transformer in Kashiwazaki-Kariwa NPP, etc.. Although engineering methods including pile foundation or soil improvement can mitigate the damage localy, it is difficult to eliminate this threat due to the cost if total replacement of soil layers are considered. To design the structures attacked by soil liquefaction, the best way is not only to consider liquefaction potential using screening methods from empirical datas or labatory tests, also soil-structure interaction (SSI) analysis should be executed for further safety evaluation. For existing NPPs located beside the seashore, soil liquefaction could be occurred in soil sediments or backfill because of high groundwater table or high ground motion level like Kashiwazaki-Kariwa NPP, so site response analysis before performing soil-structure interaction analysis should consider high nonlinearity and pore pressure if soil liquefaction occurs. To establish design earthquake motion for structure/system/component of NPP, NRC set up the percise process including modeling the properties and uncertainties of structure and soil; besides, probabilistic seismic hazard analysis and site response analysis reflecting the uncertainty of source, path and site parameters should be used to determine the design ground motion of a site. After several decades development and verification by real records, current regulatory guidances such as RG 1.208 [2], NUREG-0800 [3] Sec. 2.5.2, Sec. 3.7.1, and Sec. 3.7.2 provide the reasonable decision-making, and the accompanying tools like Shake [4] endorsed by the authority make utilities deal easily. However, the liquefaction impact is not inevitable for the site with high ground-motion level and susceptible soil backfill even though reactor buildings of NPP usually found on rock layer, so NRC provides RG 1.198 [5] as the guidance for evaluating the potential for earthquake-induced instability of soils resulting from liquefaction and strength degradation. Although RG 1.198 only discuss soil All rights reserved. No part of contents of this paper may be reproduced or transmitted in any form or by any means without the written permission of Trans Tech Publications, www.ttp.net. (ID: 128.210.126.199, Purdue University Libraries, West Lafayette, USA-25/05/15,22:25:41) Applied Mechanics and Materials Vols. 479-480 1077 stability problem, the analytical methods addressed there could be extended to site response, even SSI including liquefaction. After Fukushima Daiichi NPP destroyed by Tohoku Earthquake, utilities are performing design ground-motion re-determination, seismic margin assessment (SMA) or seismic probabilistic risk assessment (SPRA) referring US NRC Near Term Task Force (NTTF) recommendation [6], and the SSI play an important role in these tasks. Therefore, the example using FLAC 3D can demonstrate liquefaction influence range in the site, and predict the ground motion at any point during earthquake excitation. Furthermore, the ability of new model can lead the future regulatory amendment into incorporating more geotechnical engineering developments. Soil Model Soil Properties. The soil condition of site has been investigated through 4 boreholes, and three simplified layers, sand (SM2), sand with rubble (SM3) and sand rock, are set to build the underground structure as Fig. 1. Fig. 1 shows the three dimensional model is 270m width, 270m length, and 20m depth, and 4 boreholes are located at position 1 to 4. To obtain the soil properties of inner element, Kriging Method was employed to interpolate soil data so that the interfaces between each layers were built, and three groundwater table scenario based on seansonal fluctuation were assumed to discuss their influence. (a) Soil Profile (b) Three dimensional model with dipping layers Fig. 1: The simplified soil layers and three dimensional free-field soil model Liquefaction Model. To test the uncertainty of available material model, three models including (A) elastic model, (B) elasto-plastic model, and (C) elasto-plastic model with Finn increment model were used for three layers as shown in Tables 1. Model A is tranditional equivalent linear apporach to generate site response, it is used to check the result with Shake. Model B considers Mohr-Coulomb failure criteria and is given the cohesion and friction angle by SPT-N value using empirical equation; Model C uses Finn increment model to simulate excess pore pressure, and uses Byrne(1991) [7] pore pressure model in liquefaction simulation. Table 1: Material models for the different layers Model A: Elastic Model with 2% viscous damping Layer SM2 SM3 Rock rt(t/m3) 2.05 2.10 2.20 Gmax(MPa) Bulk Modulus (MPa) Porosity Material Model 251 544 0.35 Elastic 425 709 0.33 Elastic 2200 3195 0.21 Elastic Model B: Elasto-Plastic Model, Mohr-Column Criteria, and 2% viscous damping Layer SM2 SM3 Rock rt(t/m3) 2.05 2.10 2.20 Gmax(MPa) 251 425 2200 B(MPa) 544 709 3195 Porosity 0.35 0.33 0.21 c(kN/m2) 0 0 None Friction Angel ( 33 36 None ∘) Material Model Mohr-Coulomb Mohr-Coulomb Elastic 1078 Applied Science and Precision Engineering Innovation Model C: Elasto-Plastic, Mohr-Column Criteria, 2% viscous damping, and Finn increment model Layer SM2 SM3 Rock rt(t/m3) 2.05 2.10 2.20 Gmax(MPa) 251 425 2200 B(MPa) 544 709 3195 Porosity 0.35 0.33 0.21 c(kN/m2) Friction Angel ( 0 33 0 36 None None ∘) N60 20 30 None Material Model Finn increment Finn increment Elastic Seismic Input Motion The input motion at model base which is defined as the design basis event of the NPP is shown in Fig. 2, and Fourier transform result indicates the fundamental frequency is about 2 Hz and frequency content of this waveform is majorly below 10 Hz. 0.5 0.5 FFT from modified NC2 designed acceleration Modified Designed Acceleration, PGA = 0.36g 0.45 0.4 0.4 Fourier amplitude (m/sec) 0.3 Acceleration (g) 0.2 0.1 0 -0.1 -0.2 0.3 0.25 0.2 0.15 0.1 -0.3 0.05 -0.4 -0.5 0 0.35 0 5 10 15 20 0 2 4 6 Time (s) 8 10 12 Frequency (Hz) 14 16 18 20 (a) Acceleration time history (b) Fourier Transform Fig. 2: Waveform and Fourier transform of input motion at model base Results and Discussion Site Amplification Analysis. To verify three dimensional model for predicting ground motion as one-dimensional equivalent linear method, fundamental frequency anlaysis of Model A is performed as shown in Fig. 3. The modal frequencies of transfer function show the difference among different surface position, and can be related to various soil column depth because of dipping rock surface. Hence, the model can predict ground motion considering soil uncertainty and dipping beadrock per RG 1.208. Fig. 4 shows the influence of material model on amplification ratio, and Model C induces less site amplification than Model B and Model A due to liquefaction model used. Fig. 4 also shows deeper water table having less amplification about at 0.5 sec (2 Hz) in Model C; therefore, more excess pore pressure not only can prevent more seismic wave from arriving at ground surface, but can eliminate the earthquake energy of main frequency content. The comaprison of ground motion at different elevation between rock (position 1) and sand (position 3) is aslo shown in Fig.5, and the seismic wave cannot be transmitted to 5 m depth and ground surface. 0.1 Position 1 Position 2 Position 3 Position 4 Position 5 Position 6 Position 7 Position 8 Position 9 0.09 0.08 Amplitude (kines) 0.07 0.06 0.05 0.04 0.03 0.02 0.01 0 0 5 10 15 20 25 30 35 40 45 50 Frequency (Hz) Fig. 3: Comparison of tranfer function for different surface locations Applied Mechanics and Materials Vols. 479-480 (a) Position 1 (b) Position 2 1079 (c) Position 3 Fig. 4: Comparison of the site amplification ratio among material models (B) (B) 1 1 Depth = 0 m Depth = 0 m 0 -1 0 0 5 10 15 -1 20 1 0 5 10 15 20 1 Depth = 5 m Depth = 5 m Acceleration (g) -1 0 0 5 10 15 20 1 Depth = 10 m 0 -1 0 5 10 15 20 1 Acceleration (g) 0 -1 0 5 10 15 20 1 Depth = 10 m 0 -1 0 5 10 15 20 1 Depth = 15 m 0 -1 Depth = 15 m 0 0 5 10 15 -1 20 1 0 5 10 15 20 1 Depth = 20 m 0 -1 Depth = 20 m 0 0 5 10 15 20 Time (s) -1 0 5 10 15 20 Time (s) (a) position 1 (b) position 3 Fig. 5: Comparison of the influence of pore pressure on ground motion Liquefaction Analysis. The distribution of the excess pore pressure ratio (Ru) at depth 5 m in water table scenario at 6 m case generated by the site response analysis from liquefaction model is presented in Fig. 6. Liquefaction occurs when Ru reach 1 because Ru is defined as the ratio of excess pore pressure to effective vertical tress. From Fig.2, minimum acceleration occurs at 8.5 sec, maximum occurs at 11 sec, and strong motion ends about at 15sec. Fig 6 shows the liquefaction is going to occur at 9 sec because Ru approaches 1, and the liquefaction area expands till 11sec then shrinks. The model also shows location of pore water pressure induced firstly could be at the boundary Rock and SM2, and liquefaction occur at most area of SM2. 250 Y Coordinate (m) 200 150 100 50 50 100 150 X Coordinate (m) 200 250 (a) Plan and section view of model at depth 8.5m (b) Excess pore water pressure contour Fig. 6: Influence area of the excess pore water pressure generated by liquefaction 1080 Applied Science and Precision Engineering Innovation Conclusions The results of transfer function show three dimensional model using FLAC can perform site response analysis for different site locations at one run, so at least 60 Shake runs per RG 1.208 considering soil uncertainties of borehole data can be replaced. To predict the ground motion of liquefiable site, the suitable material model tested demonstrates the ability, and the range of liquefaction influence can be provided for determining the decision of soil improvement. The simulated liquefaction scenarios show dipping bedrock surface would be the excess pore pressure path at the initial state because bedrock can transmit more seismic wave energy than soil undergoing buildup of pore pressure, and the pore water pressure along interface between soil and rock possibly could cause unstability of soil. Therefore, the past lateral spreading failure cases induced by liquefaction could be explained by this simulation, and issue of RG 1.198 could be solved. Acknowledgement This support of the National Science Council (NSC) under the Grants NSC102-3113-P-042A-009 is gratefully acknowledged. References [1] Itasca Consulting Group, Inc., Fast Lagrangian Analysis of Continua in 3 Dimensions User's Manual, Minneapolis, Minnesota, U.S.A., 2009. [2] Regulatory Guide 1.208, A Performance-Based Approach to Define the Safe Shutdown Earthquake Ground Motion, U.S. Nuclear Regulatory Commission, Office of Nuclear Reactor Regulation, 2007. [3] NUREG-0800, Standard Review Plan for the Review of Safety Analysis Reports for Nuclear Power Plants, U.S. Nuclear Regulatory Commission, Washington, DC [4] Schnabel, P. B., Lysmer, J., and Seed, H. B., SHAKE: A computer program for earthquake response analysis of horizontally-layered sites, Report No. EERC-72/12. Earthquake Engineering Research Center, University of California at Berkeley, 1972. [5] Regulatory Guide 1.198, Procedure and Criteria for Assessing Seismic Soil Liquefaction at Nuclear Power Plants Sites, U.S. Nuclear Regulatory Commission, Office of Nuclear Reactor Regulation, 2003.. [6] NRC Letter, Request for Information Pursuant to Title 10 of the Code of Federal Regulations 50.54(f) Regarding Recommendations 2.1,2.3, and 9.3, of the Near-Term Task Force Review of Insights from the Fukushima Dai-Ichi Accident ; dated March 12,2012. [7] Byrne, P. M., A model for predicting liquefaction induced displacement, Proceedings of the Second International Conference on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics, St. Louis, Missouri, Vol. 2, 1027–1035, 199. Applied Science and Precision Engineering Innovation 10.4028/www.scientific.net/AMM.479-480 Site Response Analysis for a Site with the Dipping Bedrock and Liquefiable Layers Using FLAC 3D 10.4028/www.scientific.net/AMM.479-480.1076