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Article

Dynamic Response Evaluation of Bridges Considering Aspect Ratio of Pier in Near-Fault and Far-Fault Ground Motions

Department of Civil Engineering, Inha University, Incheon 22212, Korea
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(17), 6098; https://doi.org/10.3390/app10176098
Submission received: 30 July 2020 / Revised: 22 August 2020 / Accepted: 28 August 2020 / Published: 2 September 2020
(This article belongs to the Special Issue Effects of Near-Fault Ground Motions on Civil Infrastructure)

Abstract

:
The recent increase in earthquake activities has highlighted the importance of predicting the seismic response of structures. Damage to civil infrastructure, particularly bridges, can cause considerable human and property losses. The seismic performance of a structure should be evaluated based on the characteristics of structures and earthquakes. For this, this study defined the two main factors of ground motion and structural system that affect the seismic response of a structure. Ground motions, which are mainly dependent on the distance from the epicenter, were defined as near-fault and far-fault ground motions. Near-fault ground motion includes the characteristics of forward directivity and fling step. In addition to ground motion, the aspect ratio of the pier, as a representative factor of a structural system, influences the seismic behavior of bridges. Thus, this study assessed the seismic response of bridges with various aspect ratios under the near-fault and far-fault ground motion conditions. Nonlinear static analysis was first performed to evaluate the seismic capacity of the pier. Then modal and dynamic analyses were carried out to examine the effects of the aspect ratio and ground motion on the displacement and force response and the change in the natural frequency of the bridge.

1. Introduction

In recent years, seismic activities have sharply increased around the world [1]. The increase in the strength and number of seismic activities requires predicting the seismic performance of structures to ensure their stability during earthquakes [2,3,4]. The seismic performance of a structure depends on the characteristics of ground motion and the structural elements of the structure. Single-degree-of-freedom (SDOF) structures have a relatively small number of factors to account for in the response of the structures in an earthquake [5]. On the other hand, the seismic response of multi-degree-of-freedom (MDOF) structures, which are composed of various structural elements, cannot be easily evaluated. This is because MDOF structures are not dominated by a specific factor in seismic analysis [6,7]. Furthermore, the nonlinear behavior of materials and components, which would occur under an earthquake load, makes predicting the seismic response of MDOF structures more difficult [8]. The seismic response of a structure is also affected by the characteristics of ground motion [9,10]. Therefore, for bridges composed of various structural components, such as piers, bearings, and girders, this study examined the effects of ground motion and aspect ratio on the seismic performance of a bridge structure.
Ground motions can be divided into near-fault and far-fault ground motions, depending on the distance from the epicenter and the characteristics of each ground motion. Recent studies have analyzed the effects of near-fault ground motion on architectural and civil structures, such as nuclear power plants, dams, bridges, and buildings [11,12,13,14]. Near-fault ground motion generally shows strong and narrow-band pulses for a short period in spectral accelerations [15,16,17]. Therefore, structures with a short period of vibration are mostly affected by near-fault ground motion [18,19]. On the other hand, far-fault ground motion, which has long-period characteristics and relatively small response pulses as it travels over long distances, influences structures with a long natural period [20,21]. Therefore, this study evaluated the effects of near-fault and far-fault ground motions on the seismic performance of bridge structures. In particular, near-fault ground motions were selected to have the characteristics of forward directivity and fling step. A total of 14 ground motions were involved in the study (i.e., seven seismic waves for each ground motion based on recent ground activities).
In addition to seismic ground motions, the seismic behavior of bridge structures is significantly affected by the height of the bridge [22]. That is, the bridge column is one of the most vulnerable parts of a bridge when subjected to ground motion, which requires accurate modeling and seismic analysis [23]. The height of a pier can be defined as the aspect ratio of the pier, which is the ratio of the length of the pier to the diameter of the cross section. In the design process of a bridge, shear and flexural failures are strongly dependent on the aspect ratio of the pier. In general, as the aspect ratio increases, the failure of a bridge changes from shear to bending mode. The seismic performance of the entire bridge can also be affected by the aspect ratio of the pier [24]. Some recent studies [25,26] analyzed the effect of the aspect ratio of a pier on the seismic response of a bridge and showed that the displacement and shear force of the pier increased with an increasing aspect ratio but decreased after a certain aspect ratio. Studies on seismic response with respect to aspect ratio in a bridge system are still limited. Therefore, various aspect ratios of piers were considered to investigate the seismic behavior of a structural bridge system under near-fault and far-fault ground motions. The bridge considered in the study is a prestressed concrete (PSC) I-type bridge. Numerical modeling was performed using detailed drawings of a real bridge. The analysis accounted for nonlinear materials and the behavior of the bridge.

2. Near-Fault and Far-Fault Ground Motions

2.1. Collection of Ground Motions

This study collected actual near-fault and far-fault ground motions from the NGA-West2 (Next Generation Attenuation-West2) database of the PEER Center (Pacific Earthquake Engineering Research Center) and KIK-net (Kiban Kyoshin network) for the nonlinear dynamic analysis of bridges [27,28]. Table 1 and Table 2 summarize the information on a total of seven near-fault and far-fault ground motions, respectively, to use the actual ground motions. Near-fault and far-fault ground motions were basically classified according to the distance from the epicenter: less than 10 km for the near-fault ground motion and 90 km or more for the far-fault ground motion [29,30]. When selecting the ground motions, the magnitude and shear wave velocity were based on the ground and rock conditions of the target site of this study. Therefore, the ground motions measured at the station were defined to have a magnitude ranging from around 5 to 8 M and a shear wave velocity higher than 600 m/s. In particular, near-fault ground motions were selected by accounting for forward-directivity and fling-step characteristics that can cause severe damage to structures [31].
The forward-directivity effect is generated by the velocity of a fault rupture, which is similar to the velocity of shear wave propagation. Forward directivity produces ground motion with a short duration and large amplitude. Fling step occurs due to permanent deformation of the ground induced by the structural transformation of the fault rupture during seismic activity. The fling-step effect generates a large velocity amplitude on one side, which shows monotonic behavior in the displacement time history [32]. Figure 1 shows the recorded time histories of the near-fault and far-fault ground motions. Compared with the far-fault ground motion, the near-fault ground motion with forward directivity shows a high amplitude up to approximately 150 m/s in a short duration, as shown in Figure 1a. The fling-step ground motion produces a maximum displacement of approximately 600 mm and a permanent displacement movement to the negative side of the displacement time history, as shown in Figure 1b.

2.2. Ground Motions with Soil Conditions

The selected ground motions were revised to match the design response spectrum in the entire period. In this study, spectrum matching was performed for a period of 0.02 to 10 s using the algorithm of Alatik and Abrahamson [33]. Ground response analysis was then performed according to the site condition of a target bridge to revise the ground motions. The local site condition is essential in the seismic response of a structure. Table 3 lists the site classifications specified in several main design standards: EC 8 (Eurocode 8) [34], UBC 97 (Uniform Building Code) [35], KDS (Korean Design Standard) [36], and RPA 99/2003 (Regles Parasismiques Algeriennes) [37]. Eurocode 8 and UBC 97 define the site classifications based on the shear wave velocity averaged at a bedrock depth of 30 m (Vs30). KDS and RPA 99/2003 use the shear wave velocity (Vs) in the range of bedrock depths (H) from 10 to 20 m to define the site classifications.
The target site of this study is a shallow and hard ground area with a bedrock depth of approximately 17 m and a shear wave velocity higher than 260 m/s. The Eurocode 8 and UBC 97 standards classify the target site as soil type C and RPA 99/2003 as S3. According to KDS, which accounts for both the bedrock depth and shear wave velocity, the target site was included in the S2 type. Based on the site conditions defined from the shear wave velocity of the actual ground, nonlinear ground response analysis was performed to generate near-fault and far-fault artificial ground motions [38,39,40]. The dynamic properties of the soil used in the ground response analysis involved the unit weight, plasticity index, and shear wave velocity. The property values were determined by the shear wave velocity corresponding to the site classification. Figure 2 shows the response spectrum obtained from the nonlinear ground response analysis according to the amplification of ground motions. The near-fault ground motions included a relatively low-frequency range compared with the far-fault ground motions, but no significant differences were found. The peak values of the response spectrum were approximately 5 to 15 Hz in the near-fault ground motions and 10 to 20 Hz in the far-fault ground motions. The acceleration of the ground motions was rapidly reduced to maintain an almost constant value with increasing frequency after the peak value.

3. Configuration and Numerical Modeling of the Bridge

3.1. Bridge Configuration and Design

This study selected a constructed PSC bridge widely used in the practical field. Figure 3 and Figure 4 show the side view of a 5-span PSC I-girder bridge and the detailed cross section of the bridge and columns, respectively. The bridge column is supported by the pile foundation, and the superstructure of the bridge is supported by a rubber bearing installed on the columns.
The span length of the bridge was designed to be 30 m, and thus the total length of the bridge was 150 m. The abutment at both ends of the bridge was 8 m in height. All the piers of the bridge were 10 m long with a circular cross section that was 2.3 m in diameter. Longitudinal reinforcement of the pier was designed by a total of 105 D13 rebars installed in the two lines, as shown in Figure 4. A transverse stirrup was installed using D16 rebars at an interval of 300 mm. According to the structural drawing, the concrete compressive strengths of the superstructure and pier were designed to be 27 MPa and 24 MPa, respectively. The yield strength of the longitudinal and transverse reinforcements was 300 MPa.

3.2. Numerical Modeling for the Bridge

Nonlinear numerical simulation of the bridge was carried out using the OpenSees program [41]. The superstructure was expected to be within the elastic range due to earthquakes and was modeled using elastic elements. The pier of the bridge system, which is the main structural element that resists an earthquake load, was composed of reinforced concrete with longitudinal and transverse steel bars. Therefore, nonlinear fiber elements were used to account for the cracking of concrete and the yielding of bars. The rubber bearing was used to model an elastic-perfectly-plastic behavior using spring elements to consider the inelasticity of the bearing material. The pile foundation was modeled as a fixed boundary condition at the bottom of the piers. Figure 5 presents the numerical modeling of the bridge components used in the study.
The height of the pier varied from 5 to 25 m to examine the effects of the aspect ratio of the pier. The ratio of the longitudinal reinforcement was set to 1.17% based on the value designed in the actual bridge. The unconfined and confined concrete material properties were designed using the model proposed by Mander et al. [42]. The steel material was designed according to the bilinear model proposed by Menegotto et al. [43] in the tension and compression, and the effect of low-cycle fatigue and bucking of rebars was not considered in the study. Figure 6 shows the stress–strain curves of concrete and steel.

4. Nonlinear Static Analysis

To evaluate the seismic behavior of the bridge, pushover analysis, or nonlinear static analysis, was first performed to assess the capacity of the pier. The bottom of the pier, in which a plastic hinge could occur due to ground motion, was subdivided into fine elements. The yield and ultimate displacement capacities were then derived from the shear force and displacement curve obtained from the pushover analysis for each pier.
In general, the yield displacement of a pier can be determined using either the equivalent energy or effective stiffness approximation method [44,45,46]. The equivalent energy approximation method generates a bilinear energy capacity curve from the shear force and displacement relationship and then determines the intersection of the bilinear curve, at which the energy capacity becomes equal at each part of the bilinear curve, as the yield displacement of the pier. The effective stiffness approximation method defines the yield displacement using the bilinear force and displacement curve obtained using the initial and post-yielding stiffness. The initial stiffness is defined as 0.6 times the effective yield load. The yield displacement is defined by intersecting the lines of the initial stiffness and ultimate load, which balance the area of the force and displacement before and after the yield point.
In this study, the effective stiffness approximation method was used to obtain the yield displacement of the piers. The ultimate displacement is usually defined at a point where a 15% reduction in the force capacity occurs in the force–displacement relationship. When the force reduction was insufficient, a 15% decrease in stress in the critical section of a pier was used to define the ultimate displacement using the strain corresponding to the stress reduction. Table 4 lists the yield and ultimate displacements for each pier according to the pushover analysis results. The yield and ultimate displacements increased, and the shear force decreased with increasing height of the pier. The increase in the yield displacement could be mainly attributed to the decrease in the initial stiffness of the pier. The increase in the ultimate displacement was due to the increase in the corresponding displacement to the constant stress–strain relationship of the material.

5. Modal Analysis of Bridge

Modal analysis was performed to analyze the natural frequencies and mode shapes of the bridge. Figure 7 shows the mode shapes of the bridge obtained from the modal analysis. The first and second modes appeared in the bending shapes in the transverse direction, and the third mode appeared when bending in the vertical direction. The natural frequency tends to decrease with increasing pier height, as shown in Figure 8. In the first and second modes, the natural frequencies of the bridge significantly decreased with increasing height to 15 m. At a pier height higher than 15 m, little change in the natural frequency was found. The natural frequency of the third mode was almost constant, irrespective of the increase in the pier height. This indicates that the natural frequencies of the first and second modes of the bridge were largely affected by the change in structural configuration, but those of the third mode were not observed.

6. Seismic Response Characteristics by Nonlinear Dynamic Analyses

6.1. Displacement and Moment of the Bridge

Nonlinear dynamic analysis was performed to analyze the variations in the displacement and moment of a bridge with a height of 10 m. Figure 9 shows the variations in the lateral displacements at the top of each pier due to an earthquake. Displacements in piers located inside the bridge were approximately 1.4 times as large as those in piers at both ends of the bridge. The variations in the displacement of a bridge were evaluated according to the aspect ratio of the bridge and ground motion based on the displacements at the top of the inside piers. Figure 10 shows the variations in the moments along the length of the pier. Similar to the discussion on the displacement, the moments at the inside piers were approximately 1.5 times as large as those at the outside piers. The maximum moment occurred at the bottom of the piers and was approximately 18 times larger than the moments at the top of the piers. Therefore, the effects of the change in the aspect ratio and ground motion on the moment of the bridge were analyzed using the moment at the bottom of the pier.

6.2. Analysis of Maximum Displacement

This study evaluated the effects of the bridge height on the maximum displacement of the bridge and the displacement spectrum of the ground motion. Figure 11 and Figure 12 show the relationship of the maximum displacement and displacement spectrum according to the height of a bridge for near-fault and far-fault ground motions, respectively. The displacement of the bridge due to earthquakes showed a similar tendency of an increase or decrease with the displacement spectrum as the aspect ratio of the bridge increased. In particular, for a 5 m high bridge, little difference was found between the maximum displacement and displacement response. This indicates that when the height of a bridge is low, the type of ground motion dominates the seismic behavior of the bridge. As the height of a bridge increased, however, the maximum displacement became larger than the spectral response. This is because a real bridge composed of various structural and non-structural elements has a much larger mass and higher complexity than the structure assumed in spectral analysis.
The maximum displacement was also compared with the yield displacement capacity of the bridge obtained from the nonlinear static analysis of the pier. When subjected to near-fault ground motion with a forward-directivity characteristic, the bridge with a low height of 5 m exhibited a maximum displacement of 17.72 mm, which was approximately 80.6% of the yield displacement capacity of 22.0 mm. For bridges higher than 5 m, the maximum displacements were within 67.4% of the yield displacement. On the other hand, the maximum displacement of the bridge under the fling-step near-fault ground motions reached up to approximately 154.3% of the yield displacement capacity for the 5 m high bridge. The results of the study show that the maximum displacement response of the bridge due to the near-fault ground motion with the fling-step effect was close to or larger than the yield displacement capacity but lower than the ultimate displacement capacity.
The far-fault ground motion produced relatively lower displacements than the near-fault ground motion. The maximum displacement of a 10 m high bridge, which showed the highest value among the bridges, was 19.79 mm, which is approximately 22.5% of the yield displacement capacity. For other heights, the maximum lateral displacement was within 17.2% of the yield displacement. In general, the bridge showed more significant displacement when subjected to the near-fault ground motion. However, the far-fault ground motion EQ3_FF with a very low PGA (Peak Ground Acceleration) of 0.08 g generated the highest maximum displacement of 67 mm for the bridge with a height of 20 m. This is because the bridge and EQ3_FF were similarly in the low-frequency range. These results indicate that the displacement response of a bridge is affected by the frequency characteristics of both the ground motion and structural system.

6.3. Analysis of Maximum Moment

Figure 13 shows the variation in the maximum moment as the height of the bridge increases. The maximum moment was more significant when the bridge was subjected to near-fault ground motion than when subjected to far-fault ground motion. In particular, as discussed regarding the maximum displacement, near-fault ground motion with the flip-step effect showed a maximum moment larger than those with the forward-directivity effect. A maximum moment of approximately 26,600 kN·m occurred when the bridge with a height of 5 m was subjected to the EQ7_NF near-fault ground motion with the fling-step effect. For high, tall bridges, the fling-step near-fault ground motion also produced relatively high values of the maximum moment ranging from approximately 17,500 to 25,000 kN·m. On the other hand, when the bridge was subjected to far-fault ground motion, the largest maximum moment was approximately 7600 kN·m at the bridge with a height of 20 m. The maximum moment of a bridge subjected to the forward-directional ground motion tended to decrease with increasing bridge height. That is, in the case of far-fault ground motion and near-fault ground motion with the fling-step effect, the decreasing trend of the maximum moment with increasing bridge height was indistinct. Furthermore, the ground motion with the fling-step effect remained a high maximum moment, barely affected by the bridge height.
For a bridge, the maximum moment could have a relationship with the maximum displacement. However, considering the changes in structural configuration and ground motion, the moment is barely related to the displacement response of the structure alone. Therefore, this study proposed the non-dimensional dynamic response ratio (DR), which is defined as the ratio of the maximum dynamic response and the yield displacement of a bridge, to accurately analyze the tendency of the maximum moment occurring in a bridge according to the change in bridge height:
D R ( % ) =   D m a x D y   × 100
where D m a x is the maximum displacement response of a bridge for each ground motion, and D y is the yield displacement of a pier with different heights, as defined in Section 6.1.
Figure 14 presents a scatter plot of the maximum moment and DR for all the bridges under both the near-fault and far-fault ground motions. When subjected to far-fault ground motions, the bridges showed the maximum moment within approximately 25% of the DR. In the case of near-fault ground motions with forward directivity, the maximum moment reached as much as approximately 80% of the DR. In particular, some near-fault ground motions with the fling-step effect were shown to be larger than 80% of the DR. A DR higher than 100% means that the displacement response exceeds the yield displacement capacity of the bridge, resulting in the yielding of the bridge under an earthquake. The maximum moment tends to increase as the DR increases, but the rate of increase in the maximum moment decreases when the DR exceeds approximately 80%. According to a regression analysis, curve fitting showed a very good relationship between the maximum moment and the DR with a correlation coefficient (R-value) of 0.99. The DR proposed in this study showed a very good estimation of the maximum moment of a bridge, which was difficult to predict using only the maximum displacement response.

6.4. Analysis of the Variations of the Natural Frequency

This study also evaluated the changes in the natural frequency of bridges before and after ground motions. The natural frequency of the bridge tended to decrease in some ground motions but did not change in other ground motions. The decrease in the natural frequency was larger at near-fault motions than at far-fault ground motions. Forward-directional near-fault ground motion decreased the natural frequency by approximately 32.8%. For near-fault ground motions with the fling-step effect, the decrease in the natural frequency of the bridge ranged from approximately 9.6 to 41.0%. The far-fault ground motion showed a minimal decrease in the natural frequency of approximately 3.4 to 5.3% only when an EQ3_FF earthquake occurred. Therefore, the proposed DR was used to assess the relationship between the characteristics of ground motion and the decrease in the natural frequency of the bridge.
Figure 15 plots the reduction of the natural frequency in terms of DR. Both the near-fault and far-fault ground motions showed no decrease in the natural frequency when the DR of the bridge was less than 12.5%. Therefore, this study investigated the relationship between the DR and the decrease in the natural frequency for a DR larger than 12.5%. Linear regression analysis showed that the decrease in the natural frequency was associated with the increase in the DR, as shown in Figure 15. Compared with the far-fault ground motion, the near-fault ground motion with forward-directivity and fling-step pulses significantly increased the DR and reduced the natural frequency. The linear regression line shows a relatively larger dispersion in the near-fault ground motion than in the far-fault ground motion, as shown in Figure 15. The rate of decrease in the natural frequency due to the far-fault ground motions was similar to that due to the near-fault ground motions. The rate of decrease in the natural frequency was approximately 2.25% for the near-fault ground motions and 2.54% for the far-fault ground motions as the DR increased.

7. Conclusions

This study examined the effects of the aspect ratios of a bridge and the characteristics of ground motion on the seismic response of a bridge. For this, nonlinear static analysis, or pushover analysis, was first performed to derive the shear force and displacement relationship of piers and evaluate the yield and ultimate displacement capacities. The yield displacement was determined using the effective stiffness approximation method, and the ultimate displacement was determined from a strain value corresponding to a 15% decrease in stress in the critical section of the pier. The initial stiffness of the pier decreased with a decreasing aspect ratio, which resulted in a decrease in the yield displacement capacity and an increase in the maximum shear force capacity. The ultimate displacement, determined from a constant strain of the confined concrete, increased with an increasing aspect ratio of the pier.
The maximum displacement of the bridge was compared with the displacement spectrum according to the bridge height and ground motion. As the aspect ratio of the pier increased, the tendency of an increase or decrease in the maximum displacement of the bridge was similar to that of the displacement spectrum. This indicates that the displacement response would be affected mainly by the characteristics of ground motion. However, the rate of increase or decrease in the displacement response was larger than that of the response spectrum. Some differences between the maximum displacement and displacement spectrum could be attributed to the effects of the aspect ratio of the bridge.
Compared with the displacement capacity of the bridge, far-fault ground motion produced the maximum displacement within approximately 22.5% of the yield displacement capacity. On the other hand, when subjected to near-fault ground motion with the forward-directional pulse, the maximum displacement response was within 80.6% of the yield displacement capacity. Fling-step near-fault ground motion significantly increased the maximum displacement of the bridge, which was close to or larger than the yield displacement capacity.
For the maximum moment response of the bridge, this study proposed the dynamic response ratio (DR), which is defined as the ratio of the maximum displacement to the yield displacement capacity. The maximum moment of the bridge tends to increase as the DR increases, but the rate of increase in the maximum moment decreases when the DR exceeds approximately 80%. Regression curve fitting showed a good relationship between the proposed DR and the maximum moment of a bridge. The maximum moment under far-fault ground motion occurred within 25% of the DR. Near-fault ground motion with forward directivity produced the maximum moment at approximately 80% of the DR. In the fling-step ground motion condition, the maximum moment reached as much as approximately 160% of the DR.
This study also investigated the changes in the natural frequency of bridges caused by ground motions. The post-earthquake natural frequency of the bridge decreased only in some ground motions. Therefore, the proposed DR was employed to analyze the decrease in the natural frequency of the bridge and the characteristics of ground motion. Compared with the far-fault ground motion, the near-fault ground motion showed a greater decrease in the natural frequency with the increase in the DR. The rate of decrease in the natural frequency with an increasing DR was similar in near-fault and far-fault ground motions.

Author Contributions

J.-H.L. and H.A. planned this study; H.A. performed the modeling; J.-H.L., S.S., and H.A. analyzed the data; and J.-H.L. and H.A. wrote and revised the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Land, Infrastructure and Transport of the Korean government, grant number 20SCIP-B146946-03.

Acknowledgments

The authors are thankful for the financial support through a research grant (20SCIP-B146946-03) from the Smart Civil Infrastructure Research Program funded by the Ministry of Land, Infrastructure, and Transport of the Korean government.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Typical time histories of the near-fault ground motion with forward-directivity and fling-step effects and the far-fault ground motion: (a) Near-fault ground motion with forward directivity; (b) near-fault ground motion with fling step; (c) far-fault ground motion
Figure 1. Typical time histories of the near-fault ground motion with forward-directivity and fling-step effects and the far-fault ground motion: (a) Near-fault ground motion with forward directivity; (b) near-fault ground motion with fling step; (c) far-fault ground motion
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Figure 2. Spectral accelerations obtained from site response analyses for seven ground motions defined at the near and far faults: (a) Spectral accelerations for near-fault ground motions; (b) spectral accelerations for far-fault ground motions
Figure 2. Spectral accelerations obtained from site response analyses for seven ground motions defined at the near and far faults: (a) Spectral accelerations for near-fault ground motions; (b) spectral accelerations for far-fault ground motions
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Figure 3. Side layout of the bridge.
Figure 3. Side layout of the bridge.
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Figure 4. Cross section of the bridge and pier.
Figure 4. Cross section of the bridge and pier.
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Figure 5. Numerical modeling of the bridge.
Figure 5. Numerical modeling of the bridge.
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Figure 6. Stress–strain curves for the inelastic material model: (a) Mander et al. (1988) model; (b) Menegotto and Pinto (1973) model.
Figure 6. Stress–strain curves for the inelastic material model: (a) Mander et al. (1988) model; (b) Menegotto and Pinto (1973) model.
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Figure 7. Mode shapes of the bridge: (a) 1st mode; (b) 2nd mode; (c) 3rd mode shapes
Figure 7. Mode shapes of the bridge: (a) 1st mode; (b) 2nd mode; (c) 3rd mode shapes
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Figure 8. Change in the natural frequencies of the bridge with increasing height of the pier.
Figure 8. Change in the natural frequencies of the bridge with increasing height of the pier.
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Figure 9. Lateral displacement time histories at the top of each pier.
Figure 9. Lateral displacement time histories at the top of each pier.
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Figure 10. Variation in the moment along the length of a pier.
Figure 10. Variation in the moment along the length of a pier.
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Figure 11. Relationship of the displacement spectrum (Sd) and maximum lateral displacement with the pier height for near-fault ground motions: (a) Displacement spectrum at near-fault ground motion; (b) maximum displacement at near-fault ground motion.
Figure 11. Relationship of the displacement spectrum (Sd) and maximum lateral displacement with the pier height for near-fault ground motions: (a) Displacement spectrum at near-fault ground motion; (b) maximum displacement at near-fault ground motion.
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Figure 12. Relationship of the displacement spectrum (Sd) and maximum lateral displacement with the pier height for far-fault ground motions: (a) Displacement spectrum at far-fault ground motion; (b) maximum displacement at far-fault ground motion
Figure 12. Relationship of the displacement spectrum (Sd) and maximum lateral displacement with the pier height for far-fault ground motions: (a) Displacement spectrum at far-fault ground motion; (b) maximum displacement at far-fault ground motion
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Figure 13. Maximum moment with increasing bridge height: (a) Maximum moment under near-fault ground motion; (b) Maximum moment under far-fault ground motion.
Figure 13. Maximum moment with increasing bridge height: (a) Maximum moment under near-fault ground motion; (b) Maximum moment under far-fault ground motion.
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Figure 14. Relationship between the maximum moment and the dynamic response ratio (DR).
Figure 14. Relationship between the maximum moment and the dynamic response ratio (DR).
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Figure 15. Relationship between the decrease in the natural frequency and the dynamic response ratio (DR): (a,b) The decrease in the natural frequency and the dynamic response ratio at each ground motions.
Figure 15. Relationship between the decrease in the natural frequency and the dynamic response ratio (DR): (a,b) The decrease in the natural frequency and the dynamic response ratio at each ground motions.
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Table 1. List of near-fault ground motions.
Table 1. List of near-fault ground motions.
NameCountryYearMagnitude (M)Distance (km)PGA (g)Mean Period (s)Vs30 (m/s)Type of Effect
GyeongjuKorea20165.89.10.410.15610FD
PohangKorea20175.49.50.270.48750FD
NorthridgeAmerica19946.695.920.430.15628.99FD
Sierra MadreAmerica19915.6110.360.280.25680.37FD
Chi-ChiTaiwan20167.6211.480.440.18665.2FS
Loma PrietaAmerica19896.9312.690.260.49671.77FS
KocaeliTurkey19997.43.20.630.26691.34FS
FD: Forward-directivity effect; FS: Fling-step effect.
Table 2. List of far-fault ground motions.
Table 2. List of far-fault ground motions.
NameCountryYearMagnitude (M)Distance (km)PGA (g)Mean Period (s)Vs30 (m/s)
EHMH01010324Japan20016.41190.0980.12743
Big Bear-01America19926.4695.940.0350.44624.01
Chi-ChiTaiwan19997.62109.270.0800.97856.38
Hector MineAmerica19997.1396.910.0330.62642.83
DenaliAmerica20027.9239.520.00940.96708.02
TottoriJapan20006.61101.820.0780.15677.44
NiigataJapan20046.63100.450.0310.11849.01
Table 3. Soil types specified in EC 8 (Eurocode 8), UBC 97 (Uniform Building Code), KDS (Korean Design Standard), and RPA 99/2003 (Regles Parasismiques Algeriennes).
Table 3. Soil types specified in EC 8 (Eurocode 8), UBC 97 (Uniform Building Code), KDS (Korean Design Standard), and RPA 99/2003 (Regles Parasismiques Algeriennes).
Eurocode 8UBC 97KDSRPA 99/2003
Soil type A: Vs30 ≥ 800 m/sSoil type A: Vs30 ≥ 1500 m/sS1: H < 1 mS1: Vs > 800 m/s
Soil type B: 360 ≤ Vs30 < 800 m/sSoil type B: 760 ≤ Vs30 < 1500 m/sS2: 1 ≤ H ≤ 20 m Vs ≥ 260 m/sS2: 400 ≤ Vs < 800 m/s
Soil type C: 180 ≤ Vs30 < 360 m/sSoil type C: 360 ≤ Vs30 < 760 m/sS3: 1 ≤ H≤20 m Vs < 260 m/sS3: 200 ≤ Vs < 400 m/s
Soil type D: Vs30 ≤ 180 m/sSoil type D: 180 ≤ Vs30 < 360 m/sS4: H > 20 m Vs ≥ 180 m/sS4: 100 ≤ Vs < 200 m/s
Soil type E: A soil profile consisting of a surface alluvium layer with Vs30 values of class C or D and thickness varying between about 5 and 20 m, underlain by stiffer material with Vs30 > 800 m/sSoil type E: Vs30 < 180 m/sS5: H > 20 m Vs < 180 m/s
Soil type F: Soils requiring site-specific evaluationS6: Soils requiring site-specific evaluation
Table 4. Summary of the yield and ultimate displacements and the shear force for the piers of a bridge.
Table 4. Summary of the yield and ultimate displacements and the shear force for the piers of a bridge.
Pier Height (m)Yield Displ. ( D y , mm)Ultimate Displ. ( D y , mm)Max Shear Force ( F , kN)
522917200
10882153600
151933672400
203615481800
255637201420

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An, H.; Lee, J.-H.; Shin, S. Dynamic Response Evaluation of Bridges Considering Aspect Ratio of Pier in Near-Fault and Far-Fault Ground Motions. Appl. Sci. 2020, 10, 6098. https://doi.org/10.3390/app10176098

AMA Style

An H, Lee J-H, Shin S. Dynamic Response Evaluation of Bridges Considering Aspect Ratio of Pier in Near-Fault and Far-Fault Ground Motions. Applied Sciences. 2020; 10(17):6098. https://doi.org/10.3390/app10176098

Chicago/Turabian Style

An, Hyojoon, Jong-Han Lee, and Soobong Shin. 2020. "Dynamic Response Evaluation of Bridges Considering Aspect Ratio of Pier in Near-Fault and Far-Fault Ground Motions" Applied Sciences 10, no. 17: 6098. https://doi.org/10.3390/app10176098

APA Style

An, H., Lee, J. -H., & Shin, S. (2020). Dynamic Response Evaluation of Bridges Considering Aspect Ratio of Pier in Near-Fault and Far-Fault Ground Motions. Applied Sciences, 10(17), 6098. https://doi.org/10.3390/app10176098

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