Research Article | Open Access
Mingming Wang, Jianyun Chen, Hai Wei, Bingyue Song, Weirong Xiao, "Investigation on Seismic Damage Model Test of a High Concrete Gravity Dam Based on Application of FBG Strain Sensor", Complexity, vol. 2019, Article ID 7837836, 12 pages, 2019. https://doi.org/10.1155/2019/7837836
Investigation on Seismic Damage Model Test of a High Concrete Gravity Dam Based on Application of FBG Strain Sensor
A 203-m-high gravity dam being built in earthquake-prone areas needs to be investigated very carefully to determine its dynamic responses, damage mechanism, and safety evaluation. The dynamic characteristics, seismic responses, failure mode, and safety evaluation of the above structure are presented through dynamic fracture test for small-scale model on shaking table. Because the strength of the model material is very low, the traditional strain gauge is also not easy to be glued to the surface of model. It is difficult to measure the accurate strain data of small-scale model during testing. Therefore, Fiber Bragg Grating (FBG) strain sensor is presented to obtain the strain of small-scale model during testing, due to its high sensitivity. The dynamic strain and residual strain are obtained with the FBG sensors embedded in model. The FBG sensor is adhered to model material completely and shows advantages of ease for installation, high sensitivity, and reliability compared with traditional resistance strain gauge. The model during testing is submitted with earthquake wave from the Chinese Code. In the experiment, the peak ground acceleration (PGA) of the first crack in the model indicates the safety level of the gravity dam. The crack locations and forms determine the damageable part of gravity dam under intense earthquake. After the final analysis, the safety evaluation result of the gravity dam under strong earthquake is given in order to guide the implementation of the project.
China is the country with the largest population; the largest number of consumers leads to a great demand for energy. So far many hydropower stations have been built to provide a large amount of electricity. Meanwhile we know that dam concrete is a low tension material, and concrete gravity dam is easy to cause cracks in earthquake. The cracks in the gravity dam usually extend from microcracks to penetrating cracks. Therefore, studying the damage behaviors of concrete dam is indispensable if it comes to monitoring the safety and stability of dam.
With rapid developments of computer and Finite Element Method (FEM), in recent decades, a large number of scholars adopted the computer and FEM to research dynamic characteristics of concrete dam in earthquake [1–9]. However, different scholars use different finite element models, material constitutions, boundary conditions, load inputting, and simplification in dynamic analyses for the concrete dams; their results are quite different. Hence, dynamic model test is a useful supplement and validation of numerical method. A large number of model tests to investigate the seismic damage characteristics of concrete dam have been held over several decades [10–21].
The traditional strain gauge was adopted to measure the strain in previous model experiment. The strain gauge was bonded to the surface of experimental model with cyanoacrylate, RTP-801, or acrylate glue. However, the glues are unsuitable for bonding strain gauge to model surface. None of the glues are suitable for attaching strain gauge to the surface of model, because the glues’ strengths are greater than that of the model material in model test. In addition, in the process of small-scale concrete dam model produced by model material, the curing period of the model is short, only 24-48 hours, which leads to the model surface to be moist during testing. This case reduces the resistance of strain gauge and leads to the strain measurement being seriously affected because of the wettability. Moreover, the strain gauge attached to the damp surface of model may fall off during vibration of model. Besides the glue for bonding strain gauge may react chemically with the model material influencing the accuracy of measured data. Based on the above, the strain measured by traditional resistance strain gauge during the model testing cannot satisfy the above special requirements. Kinds of sensors with sensitivity, easy to install, and with exactitude, such as differential current sensor, have been used to measure the model strain during testing . But the external deformation of model cannot generally reflect the failure condition in the model. Accurate measurement of strain variation and effective prediction of internal damage of model are the main objectives of strain sensors during dynamic failure model testing. Fiber Bragg Grating (FBG) is a kind of diffraction grating whose refractive index changes periodically. It has attracted wide attention in optical sensing technology because of its flexibility, embeddedness, multidispersion, high sensitivity, and antielectromagnetic interference immunity [23, 24]. It can also be embedded in structure to detect more detailed damage information. In more recent years, engineering scholars have applied the FBG strain sensor in concrete structure to measure internal strain [25–27].
In order to avoid the failure of exposed FBG sensor in concrete, many design concepts of protection systems for embedded FBG sensors in concrete structure have been proposed by previous researchers [25, 29, 30]. The FBG sensor wrapped in metal tube is widely adopted since metal material can be bonded well to concrete. A large number of scholars have researched the strain transfer mechanism and sensing performances of the packaged FBG sensor [31–33].
The previous studies were on the basis of the mechanical test of normal concrete that the elasticity modulus is more than 2 × 104 MPa. However, in the case of low elasticity modulus of model material for small-scale model test, the cohesive force between the metal pipe and model material cannot deform the metal pipe sufficiently because the metal elasticity modulus is 1000 times more than the modulus of model material. The deformation transfer loss is an important factor affecting the sensitivity of FBG strain sensor. It is unavoidable and exists between model material and packaging material.
A 203-m-high concrete gravity dam is being built in earthquake-prone areas. The dynamic characteristics, seismic responses, failure mode, and safety evaluation for overflow section of the above dam have been studied in detail by the authors .
In the paper, the whole step of the dynamic failure model test for the water retaining section of the gravity dam is presented to investigate its dynamic responses, failure mechanism, seismic performance, and safety. The seismic input wave is the Chinese Code earthquake wave. Firstly, a type of FBG strain sensor is developed and used in the dynamic small-scale model test. To investigate the applicability of the FBG strain sensors in the tests, the dam model is tested on the shaking table. Secondly, the model design, measurement layout, and test procedures are described. Finally, the dynamic failure model dam test and the analysis of the test results are presented for water retaining section of the high gravity dam.
2. Description of Dam Structure
The authors have published a research article which presents a study on the dynamic characteristics for overflow section of a 203-m-high gravity dam . The project about the above dam has been described in detail in .
The water retaining section of the water conservancy and hydroelectric project mentioned in  is studied in this paper.
For investigating the dynamic response, seismic performance, and damage form of the gravity dam, the 10 # water retaining section which is the highest section of the gravity dam is subjected to a dynamic failure model test on shaking table. The section of the gravity dam is designed as shown in Figure 1.
3. Similitude Rules and Dam Model Materials
3.1. Similar Scale Requirement for Test
Because of the size and bearing capacity of the shaking table, the dam model is reduced according to a similar scale based on the size and material property of prototype dam.
The basic principle of similar scale has been described in detail in . Because the prototype and model dams are in the same gravity field, the well-known 3 fundamental similitude laws are expressed by following equations:where , , , , and stand for the similar scales of time, geometric size, stress, density, and acceleration, respectively.
For the bearing capacity and size of shaking table in Structural Engineering Laboratory at Kunming University of Science and Technology in China, the geometric scale between the prototype and model is determined to be 100: 1 for the test. Similar scales of other parameters (, , , and ) are given by (1), (2), and (3). For all similar scales, the physical and mechanics parameters of model material for the test are shown in Table 1.
3.2. Simulation Model Material
To the small-scale model failure test under earthquake, the Simulation Model Material (SMM) is proposed in . The aggregate in prototype concrete is simulated by fine aggregate. The mass mix ratio of SMM is shown in Table 2 based on similar scales in Table 1.
The material tests for the mechanical parameters of SMM are shown in Figure 2, which is the same as in . The dynamic elastic modulus of SMM is about 400 MPa from the percussion cantilever test. The compression strength of SMM is about 0.3MPa from the uniaxial compressive test, and the tension strength of SMM is about 0.028MPa from four-point bending beam test. The density of SMM is about 3000 Kg/m3. The dam model weighs about 3 tons.
(a) Percussion cantilever test
(b) Uniaxial compressive test
(c) Four-point bending beam test
4. FBG Strain Sensor Design
Fiber Bragg Grating strain sensor packaged in a metal tube or capillary is now in widespread use. However, the cohesive force of SMM to metal tube cannot make the metal tube deform adequately because of the low strength of the model material. The deformation transfer loss is an important factor affecting the sensitivity of FBG strain sensor. It is unavoidable and exists between the model material and packaging tube. To a certain extent, it puts forward new requirements for improving FBG sensor sensitivity. According to the basic principles of friction pile and end bearing pile diffusely applied for civil engineering field, a cubic shape fixing support is designed to improve the surface roughness of FBG strain sensor and cohesive force between the senor and the model material. A gripper fixed on the cubic support is arranged on each side of FBG strain senor to transfer the cohesion to the strain sensor. The fibers on each side of the strain sensor are packaged in neoprene adhesive with a gripper on each side of the strain sensor. The gripper is mounted on the cubic support by soldering tin. The exposed FBG strain sensor between the two grippers is packaged in the metal pipe. During concrete-like material pouring, the metal pipe plays a role in protecting FBG sensor from external stress and pressure and also does not transfer material deformation to FBG strain sensor. The cubic support and gripper can slither freely along the metal pipe. The cohesion between the support and the model material makes gripper slither through metal pipe and gives rise to the deformation of FBG strain sensor which is, namely, the strain measured. The diagrammatic sketch of small size FBG sensor is shown in Figure 3, and the photo of the sensor is shown in Figure 4.
FBG of the sensor proposed in this study is not in direct contact with the neoprene adhesive. Therefore, the sensor not only greatly reduces the strain transfer loss, but also eliminates the multipeak phenomenon of FBG reflected light caused by the uneven distribution of the neoprene adhesive.
A previous study [34, 35] has shown that the stress transfer loss between the fiber and neoprene adhesive can be neglected when the adhesive thickness is less than the diameter of the fiber, and the relative deformation of the grippers at both ends of FBG is also the deformation of FBG, which are given aswhere L, , and are the distance between the two cubic supports and the gripper and FBG lengths, respectively; , , , and are the elasticity modulus and section areas of metal tube and fiber, respectively; and are, respectively, the tensile forces in gripper tubes and FBG. Because the tensile forces () are constant throughout the FBG strain sensor, the strain ratio between the gripper tube and FBG is given as 
The mechanical properties of the FBG sensor are shown in Table 3. Substituting the parameters in Table 3 into (6), the strain ratio is obtained (/.0084). Therefore, the relative deformation between the two cubic supports is given as 
The relative deformation between the two supports is the same as the deformation of FBG between the two grippers for and 0.0084 . The relational expression between the displacement of FBG central wavelength and the strain ε of FBG sensor is given as 
The central wavelength of FBG is 1550 nm. Based on (8), the FBG strain sensor sensitivity is decided by and can be amplified by adjusting the mechanical structure because of .
5. Dam Model Experiment
5.1. Test Equipment, Model Production, and Instrumentation
The dynamic failure model test has been widely applied to study dynamic characteristics of dam structures in earthquake. The seismic failure model test for the above 203 m high gravity dam is carried out on the shaking table in Structural Engineering Laboratory at Kunming University of Science and Technology in China. The technical parameters of the shaking table used in the test are shown in Table 4.
The geometric scale between the prototype and model is determined to be 100: 1 for the test. From the loading capacity of shaking table and dam section in Figure 1, the dam model is designed to satisfy the 1/100 of the geometrical dimensions of the prototype dam. Figures 5, 6, and 7 show, respectively, the installation of model, the pouring of model, and the outside view drawing of model after the manufacture. The model is solidly bolted to the shaking table to ensure a transmission effect of the inputting seismic wave from the platform to the model bottom, as shown in Figure 7.
For simulating the impact of reservoir water on the dam during earthquake, seven lead blocks of a certain mass are embedded on the upstream of dam model, as additional mass. According to Westergaard’s Additional Mass Method, the mass and location of the additional lead blocks are determined under earthquake in which the PGA is 0.251g, as shown in Figure 8. When pouring the model, the small lead blocks of determined quality are fixed in the designated positions inside the formwork of the upstream surface of the model with fine wire. When removing the formwork, the lead blocks can be firmly fixed in the designated positions in the upstream surface of the model by cutting the wire.
Because of gravity these additional masses compress or stretch the upstream face and provide a tendency to close or open cracks in the dam model. Because the cracks appear at the nape of dam where the water depth is shallow, the additional mass is too small to have a significant impact on the above.
The accelerometers and FBG sensors are used to measure the accelerations and strains of different positions of the model during testing. The displacements can be obtained by the quadratic integral of the accelerations.
The arrangements of accelerometers are shown in Table 5 and Figure 8, and 6 accelerometers are used for the model test. Among them, 4 (AC1-AC4) are used to measure the horizontal accelerations, and 2 (AC5 and AC6) are used to obtain the vertical accelerations. As for FBG sensors, a total 10 are used for the model test. The mounting positions of FBG sensors are presented in Figure 8. In order to collect data, a computer controlled Data Signal Process System (DSPS) is adopted during testing, as shown in Figure 9.
(a) DSPS system of data acquisition and processing
(b) FGB strain data collecting instrument
5.2. Test Program
The earthquake wave which is an artificial wave generated from response spectrum for seismic Code in China is adopted for the model test, as shown in Figure 10. The Chinese Code response spectrum is drawn in Figure 11.
In order to check the integrity of the model, the response of model is obtained by using white noise excitation of 0.05g at the beginning of the model test. The model foundational frequency can be obtained by calculating the transfer function of white noise excitation, too. Then, the increasing earthquake excitations step by step are inputted for the dynamic model failure test. The gradually increasing loading method is the equal of earthquake duration increased. It causes damage of model in a lesser degree before the first crack appears. In this case, obtaining PGA which produces the first crack at the model during testing is a bit smaller than it really is. So the results from this loading method will give safe conclusion for assessing the safety of gravity dam subjected to intense earthquake.
According to similar scale ratios in Table 1 that the time scale between the prototype and model is 10:1, the frequencies scale is 1:10. A series of seismic wave inputs is adopted during testing, as listed in Table 6. The shaking table is adopted to input the seismic wave to the model at horizontal stream and vertical directions. The PGA of the vertical/horizontal directions is 2/3.
6. Experimental Results and Analysis
6.1. Frequencies Analysis of Model
The white noise of 0.05g is applied during testing to get the dam model foundational frequency. The natural frequency is 25.65 Hz for the model that is inputted by the white noise of 0.0614g.
During the testing, the foundational frequencies of the model are shown in Figure 12. The foundational frequencies changes are very small during the Load Cases SW1-SW4. That is to say, there is not obvious damage to the model under the earthquake input of 0.3458g. The natural frequency of the model is obviously reduced under the Load Case SW5 and behind. This means that the model has been significantly damaged under earthquake with PGA of more than 0.3458g. Although the naked eye cannot be seen at this time, the model has been cracked firstly. After the earthquake with PGA of 0.4826g inputs for the testing, the natural frequency of the model is declined rapidly. At the end of testing, the foundational frequency dropped considerably as the model is completely damaged and 7.00 Hz for model.
6.2. Acceleration Responses of Model
The accelerations along height from the base to the crest for elasticity dam are amplified in earthquake. In this testing, the value of each accelerometer recorded on the model is presented in Table 7. According to Table 7, the acceleration multiplying factors along the model height under each load case are shown in Figure 13.
As shown in Figure 13, under the seismic wave inputs of the Load Cases SW1-SW4, the acceleration multiplying factors increase linearly along the model height and decrease with the seismic excitation intensity.
When the PGA inputs in the test reached 0.4826g, the accelerations at crest (AC4) of the model are less than those at neck (AC3) of the model. This indicates that crack occurs at the neck (positions above AC3) of the model and the model is stepped into the nonlinear testing phase. In the Load Cases SW5-SW6, the accelerations recorded three accelerometers (AC1-AC3) in the model lower part which increase linearly along the model height, but the acceleration recorded AC4 on the crest of the model decreases suddenly. This indicates cracks in the necks of the model under Load Cases SW5 and SW6. The accelerations recorded by the AC3 and AC4 in the model upper part are changed suddenly during Load Cases SW7 and SW8, and there is no law to follow for this change. It means that there are thorough cracks in the model upper part.
6.3. Cracking Responses and Failure Mode
For the dam model, 2 cracks started at the downstream surface of model and are located between 25 and 45 cm from the crest, respectively. Although 2 cracks have started at the downstream surface, only one major crack for the model has extended upward to the upstream surface. It thus has been observed that even if there are many damaged zones along the upper part of the downstream and upstream sides, only a single dominant crack separates the crest part from the main body of dam. The cracking responses of model during the testing are presented in Table 8. Under load cases in the testing, the final damage forms of the model are shown in Figure 14.
(a) Failure modes of the model
(b) Failure modes of the model from the facade
(c) Failure modes of the model on upstream surface
According to Table 8, there are no visible cracks in the model during earthquake with PGA of 0.3458g. The seismic characteristics of the prototype dam are got by adopting the scale ratios presented in Table 2. The design PGA of gravity dam is 0.251 g; therefore the overload factor of dam is 1.378 (0.3458/0.251) under the Chinese Code earthquake. It demonstrates that the dam is for safety in an intense earthquake.
6.4. Response of Strain
The strain is an important parameter to determine the damage of concrete-like material. The maximum tension strains and damage description for the model in the test are shown in Table 9. From Table 9, the larger values of maximum tension strains are obtained by FBG sensors No. 3, 4, 5, 6, 7, and 8. FBG sensors No. 3, 4, 5, 6, and 7 are arranged at the upstream and downstream sides of the model neck, is known that the dam neck is the damaged zone. For the model, the maximum strains of sensor No. 4 on the upstream surface and sensor No. 6 on the downstream surface are 1078με and 1207με, respectively. This shows that the cracks in the positions of the dam will be completely opened in the intense earthquake. According to the maximum strain of sensor No. 8 for model, the moderate crack is found in the position of waist of the model. The maximum tension strain of sensor No. 1 for the model exceeds the tension strain threshold of the SMM, but the no visible crack is observed in the locations of model (dam heel).
The strain time history curve of sensor No. 6 for the model during Load Case SW8 is shown in Figure 15. It can be seen that the residual strain of sensor No. 6 for the model is about 110με at the end of the testing. This means that the model has completely irreversible damage.
In order to investigate the dynamic characteristics, seismic responses, failure mode, and safety evaluation of a 203 m high gravity dam under intense earthquake, a series of complete dynamic failure model tests on a shaking table are performed based on application of FBG strain sensor. At the end of the experimental study, the conclusions are as follows:
The encapsulated FBG sensor proposed in the testing is used to measure strain. It obtains accurate strain data and overcomes the shortcomings of traditional strain gauge.
A Simulation Model Material (SMM) presented in the paper can satisfy the similitude law requirements with the normal concrete. The SMM is easy to make, and the use of the model material making the dam models can complete the test well.
According to the responses to the foundational frequency and acceleration during the testing, the dam is damaged under the Chinese Code seismic wave with PGA of 0.3458g. The same conclusion is got based on the damage process and strain response of the dam model during testing.
The PGA producing the first crack in the concrete dam can be seen as an important parameter to estimate the safety of the dam in intense earthquake. The PGA for the first crack of the model during the testing is 0.3458g and is almost 1.378 times of the design PGA. The PGA of the model completely failed is 1.4176g and reflects 5.65 times the overload capacity of dam.
The 203 m high concrete gravity dam can be made safe during an intense earthquake in its site area. But we should be aware that an earthquake of PGA beyond 0.4826g may be catastrophic for the dam. So far the dam is designed to resist against an earthquake with a peak ground acceleration (PGA) under 0.251g.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
The authors are grateful to the reviewers for their very useful comments and suggestions. The study is fully supported by National Natural Science Foundation of China through Grant No. 51669008, Yunnan Talent Training Fund of China through Grant No. KKSY201404026, and Open Foundation of State Key Laboratory of coastal and offshore Sciences in Dalian University of Technology of China through Grant No. LP1619.
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