The present invention relates to the field of gas accumulation detection. In particular, the invention relates to the detection of gas voids in piping systems.
Gas accumulation in both safety related and safety significant piping systems continues to be a challenge for nuclear power plant systems. More than 90 gas intrusion events have been reported, with approximately 30 of these events having occurred since 2005.
In January 2008, the Nuclear Regulatory Commission (NRC) issued Generic Letter 2008-01, “Managing Gas Accumulation in Emergency Core Cooling, Decay Heat Removal, and Containment Spray Systems.” The Generic Letter requests that each licensee evaluate its Emergency Core Cooling System (EGGS), Decay Heat Removal (DHR), and Containment Spray System (CSS), licensing basis, design, testing, and corrective actions to ensure that gas accumulation is maintained less than the amount that challenges operability.
As part of the Generic Letter request, plants were tasked with performing walk downs and reviews of piping and instrument drawings (P&ID's) to identify locations which pose a potential for gas accumulation. Design deficiencies such as uninstalled high point vents or improper location of high point vents, as well as, excessive construction tolerances has permitted gas voids to collect in piping systems. Gas voids may be caused by improper venting practices, leaking safety injection tanks or control volume tanks, leaking valves, and gas coming out of solution. Excessive gas voids (including air or nitrogen) in liquid bearing piping systems which feed pumps may cause degraded pump performance, and in a worst case scenario, they can cause the pump to air bind making the system inoperable.
Most plant technical specifications require monthly surveillance checks of the ECCS. These surveillance checks can be performed by venting or ultrasonic (UT) inspection. The presence of a vent valve may not be easily accessible and periodic venting may pose a risk to personal safety. In addition, venting of some valves leads to higher than wanted dose rates and presents the need for an online monitoring system.
Currently UT is the preferred method to detect, locate, and size gas voids due to its accuracy and availability in plants. Accuracy is an important element to gas detection because given the condition that a void is found, the plant must quantify the air void and possibly present an operability evaluation to the NRC. To use UT, the piping insulation must be removed at all locations where inspection is to be performed. UT can only be used in the areas where the probe is located. This can result in excess man-hours and accumulated dose to complete the task.
These and other shortcomings of the prior art are addressed by the present invention, which provides a method for detecting a specific amount of gas entrapment in a liquid filled pipeline based on the utilization of ultrasonic guided waves and specific waveform features.
According to one aspect of the present invention, a gas detection system includes a transmitter positioned at a designated point on a piping circuit and adapted to transmit guided waves into the piping circuit, a receiver positioned at a designated point distant from the transmitter and adapted to receive the guided waves transmitted through the piping circuit by the transmitter, and a computer for analyzing and monitoring the guided waves received by the receiver.
According to another aspect of the present invention, a method of detecting gas in a piping circuit includes the steps of calculating a set of dispersion curves for the piping circuit and using a gas detection system to transmit guided waves into the piping circuit. The method further includes the steps of using the gas detection system to receive the guided waves transmitted into the piping circuit and using the gas detection system to determine an amount of gas in the piping circuit.
According to another aspect of the present invention, a method of detecting gas in a piping circuit includes the steps of providing a gas detection system having a transmitter, a receiver, and a computer. The method further includes the steps of calculating dispersion curves for the piping circuit, using the transmitter to transmit guided waves into the piping circuit, using the receiver to receive the guided waves transmitted through the piping circuit, using the computer to calculate an analytic envelope, using the computer to calculate energy, and determining an amount of gas contained in the piping circuit.
The subject matter that is regarded as the invention may be best understood by reference to the following description taken in conjunction with the accompanying drawing figures in which:
Unlike conventional ultrasonic and eddy current techniques, guided wave ultrasonic nondestructive examination (NDE) technology presented herein, may be used to examine a relatively large area of a component from a single probe location. This results in the benefits of limited insulation removal and long distance remote examination of pipe. Guided wave may be permanently installed and used for on-line monitoring or for temporary attachment to piping for verifying water solid pipe. On-line monitoring not only eliminates the need to remove insulation, but also reduces man-hours and dose exposure.
Guided waves are ultrasonic waves guided by the confines of a structure, such as the inner and outer walls of a pipe. The ultrasonic waves generated in the component are reflected and mode-converted off its boundaries and eventually result in a guided wave that travels in the component. As with conventional ultrasonics, the area adjacent to the transducer where the wave is setting up has dead zone components, the extent of which is dependent on a number of issues, including frequency. These effects must be considered for the specific application.
The application of guided wave can be very complex: guided waves have multiple properties and variables that must be considered. There are several different guided wave modes that can be generated, including longitudinal, torsional, flexural, Lamb, shear-horizontal, and surface. Guided waves are generally dispersive-wave velocities can change and are a function of frequency, meaning that multiple waves may be present as thickness changes. In some applications, these properties can be used to examine a component, but they can also complicate their use in other applications. Some guided wave modes are significantly affected by the presence of liquids on the component boundaries. Although this can be used as an examination tool, it deters the use in other applications.
Guided waves may be introduced into pipe material with a variety of different wave properties. For instance, guided waves may be introduced to remain in the pipe wall without leaking into the water or air content of the pipe. In contrast to this, guided waves can also be introduced to leak into the water content of the pipe but not into the gas content of the pipe. In such cases, pipes containing a full volume of water will result in a large loss of sound energy as opposed to a pipe containing only air. Pipes containing partial volumes of water will have attenuation rates in between these two cases.
Guided wave energy is typically introduced into a material with a piezoelectric element, electromagnetic acoustic transducer (EMAT), or magnetostrictive sensor (MsS). Under ideal conditions, guided waves are capable of traveling significant distances within a component such as piping, tubing, plate, cable, or rod.
Data analysis methods are very dependent on the inspection application and are complicated by many factors. A typical data analysis screen display used for guided wave examination is a radio frequency (RF) A-scan presentation with signal amplitude on one axis and time on the other,
The amplitude of the reflected signal is indicative of the amount of guided wave energy the probe receives and may be used to characterize the reflector. The time axis presents the time between the initial pulse and the reception of the reflected signal. The time may be used to calculate the distance of the reflector from the probe when the wave-mode group velocity is known, as is the case with the torsional wave mode. However, when dispersive guided wave modes are used, the sound velocity is dependent on frequency. The shape of the reflector signal may provide characterization information about the reflector. The frequency content of the signals may also be used to assist in characterizing a reflector.
Although there are similarities between conventional ultrasonics and guided waves, in relation to gas voids, there are many fundamental differences. These differences are highlighted in Table 1 below.
With guided wave ultrasonics, the guided wave travels through a pipe 15 from transmitter 16 to receiver 17,
For any natural wave guide structure, for example, a pipe with bend sections, a set of dispersion curves can be calculated. For every point on the dispersion curves there is a different wave structure, that is a different displacement variation across the thickness of the wave guide (pipe). In a fluid filled pipe, it is common knowledge to expect ultrasonic energy to leak into the fluid as the wave propagates from one position to another. Energy will not leak into a gas. This is easy to see if the inside surface of the pipe has a strong radial displacement component.
Guided waves may be produced in a pipe a number of ways by an assortment of ultrasonic wave generating transducers. Although this is true, specific modes of propagation within a pipe can only be generated with a specific angle of incidence, or in the case of a comb transducer, element spacing and excitation frequency. The modes needed for gas detection are those that have a significant radial displacement on the inside surface of the piping. See
Energy easily leaks into a fluid due to the normal pressure loading of the fluid. On the other hand, if the displacement on the inside of the pipe is axial, the particle motion may be considered as trying to propagate shear energy into the fluid. Ideal non-viscous fluids do not support shear waves while viscous fluids can support a small amount of shear energy. As a result of this wave structure concept, two different test points, specific modes and frequency, on the dispersion curves, were found such that the wave velocity would change slightly for dry pipes versus wet pipes. That is, guided wave sensor design can be made to have maximum axial displacement on the inside surface of the pipe; hence, minimal leakage of energy. Conversely, maximum radial displacement will cause maximum leakage of energy. Optimal sensitivity to gas entrapment is achieved with maximum leakage; however, maximum penetration power is obtained with least leakage.
Sensitivity of a guided wave mode to the amount of liquid on the inside surface is optimized when the radial displacement component is a maximum. On the other hand, propagation length is longest when the axial component is maximized. Considering the trade-off between sensitivity and propagation length, practical application requires a mode to be excited that has optimal sensitivity, while still maintaining sufficient propagation length.
The guided wave mode and frequency determines the amount of radial and axial displacement components. In-plane displacements are shown propagating a pipe in
A pipe is typically specified by its outer diameter, wall thickness, and its material properties. Guided wave propagating modes are also functions of these parameters. Each pipe has an associated set of curves, called Dispersion Curves, that show the physically realizable modes that can exist. One set of curves are called phase velocity curves and the other, group velocity curves. For transducer specifications, only the phase velocity curves are necessary. Each point on a dispersion curve has associated with it the type of displacement, or wave structure, that will exist in the pipe wall for that (frequency, phase velocity) coordinate,
The desired feature for gas entrapment detection is a dominant axial displacement on the inside surface to improve overall penetration power. Due to the transmitter source influence, there is a phase velocity spectrum that allows sufficient energy to leak into the liquid. This provides an ability to find the presence of a gas pocket.
A sample coordinate, (470 kHz, 3800 m/sec), is shown in
To obtain the value of the energy, a couple of signal processing steps are necessary. The first step is the calculation of the analytic envelope of the received signal. The analytic envelope is calculated by taking the Hilbert transform of the received signal. Energy is calculated by integrating over time the square of the envelope. The energy is acquired by sequentially adding each successive portion of the squared envelope as a running sum:
K=½mv2
where K is kinetic energy, m is mass, v is velocity. Since the mass of material being displaced at a point by an ultrasonic wave is a constant, i.e. K∝v2. A signal's envelope is the variation of x, displacement, over time at a point. It is the velocity at that point where the energy is measured by the receiving transducer,
An example set of dispersion curves for pipe in general is illustrated in
The excitation frequency range leads to a phase velocity distribution. The symbols c2 and c1 represent the highest and lowest expected velocities for a set of dispersion curves [pipe size] and excitation frequency range. The peak of the phase velocity spectrum is the expected mode velocity. The expected mode is then between c1 and c2. This means that the energy associated with mode (s) traveling at co and cg2 will arrive at distance d, at t1=d/cg1 and t2=d/cg2; d=distance between transmitter and receiver. cg1 and cg2 are the group velocities associated with the phase velocities c1 and c2. The energy we desire to measure is between t1 and t2. This is only a portion or a “window” on the entire received waveform. See
For example, the L[0, 2] mode, a highly symmetric mode as desired, propagates ˜5.3 mm/μsec (0.209 in/μsec) at 150 kHz in carbon steel. In this example, the region is considered to be non-dispersive, i.e. cg1=c1 and cg2=c2. Say c1=4.6 mm/x [0.181 in/x] and c2=5.3 mm/sec [0.208 in/μsec]. Then, at 26 ft. for example, the window would be between, t1=26*12 in./0.181 in/μsec=2,873 μsec, and t2=26*12 in/0.208 in/μsec=1,500 μsec.
Locating the correct window is very important. Knowing the correct c1 and c2 may be challenging. Reasonable estimates can be obtained using “matched filtering”. Matched filtering presupposes a waveform shape for the mode of interest. Conceptually, this waveform is slid through the waveform at hand where it hopefully matches at some point(s) (time) with a wave pattern within the waveform,
Having identified a rough arrival time for the mode associated with the model waveform and using dispersion curves as guidance, estimates for t1 and t2 can be made. Because each pipe size has associated dispersion curves, the waveform window location and width will vary with pipe size and wall thickness.
Referring now to
The transmitting array 21 sends guided waves into the piping circuit 23 being monitored for gas entrapment. The mode(s) of the guided wave propagated are especially selected to provide for penetration distance and to have a component that “leaks” into the liquid that the piping system is transporting. Mode selection is based on the particular piping used for the system, e.g. carbon steel, 2 inch, schedule 10.
The receiver 22 receives the guided wave components that successfully traversed the piping circuit 23. If no liquid is in the circuit, most all of the input energy is received. On the other hand, if the piping circuit contains liquid, the leaky component of the guided waves will be absorbed by the liquid. The leakage amount is loosely proportional to the area of contact the liquid has with the interior wall of the piping circuit. An energy feature, is extracted from the received waveform. The principle behind this feature is that leakage reduces the transported energy.
A computer 24 acts as a controller and receives information from the transducer 22 via a pulser/receiver 26. The computer 24 analyzes the information and determines if there is gas in the circuit 23. If the answer is yes, Block 27, then the computer 24 estimates the gas volume, Block 28, in the circuit 23. If the answer is no, Block 27, the computer 24 instructs the transmitting array 21 to continue sending guided waves into the circuit 23 so that the computer can continue monitoring, Block 29, the guided wave components received by the transducer 22.
Referring to
Several tests were performed using the system 20 and method above, and are described in the examples below.
Referring to
The purpose of this experiment was to make use of two test points taken from a dispersion curve, one with maximum penetration power and one with maximum sensitivity. The objective was to find a test point (mode and frequency), that was not sensitive to water presence, and a second point that was less sensitive to water presence in a pipeline.
Transmitter 41 and receiver 42 were used in the through transmission mode to collect data from the pipe. The transmitter 41 and receiver 42 each use 500 kHz angle beam transducers to transmit and receive. The pipe 40 was positioned vertically as shown. The transmitter 41 and receiver 42 were mounted on 26° Plexiglas wedges 44, as shown in
Data was taken in the following sequence: 0% water, 25% water, 55% water, 81% water and, 100% water. These percentages are based on the volume of water between the transmitter 41 and receiver 42. The transducer loading for each measurement was a 20-cycle toneburst signal averaged 99 times. Frequency was swept at each measurement point from 150 kHz to 900 kHz in 10 kHz increments. Frequency was tuned to an interesting response (e.g. a good response at 350 kHz, better at 353). A good response is associated with receiving a strong signal amplitude.
The data set from the 454 kHz excitation showed a positive correlation with water volume percentage. This mode (wave packet) appeared between 370 μsec and 415 μsec in each of acquired signals. The signals were cross-correlated within the same window with the 0% volume signal. Cross-correlation detects time shifts between signals. The arrival time of a mode measures its group velocity. Thus, time shifts show changes in group velocity. Table 2 shows the water volume and the time shifts, and
The fastest mode in the signal was at 585 kHz and did not exhibit a change as a function of water level in the pipe 30.
The amplitude of these two modes was also analyzed as a function of water volume in the pipe 40. The amplitude of the water sensitive mode decreased exponentially with an increasing volume of water in the pipe 40. A plot of amplitude versus water volume for this mode is shown in
The amplitude of the 585 kHz mode was not sensitive to the water volume in the pipe 40 for volumes greater than zero. This mode did leak a small amount of energy into the water and this is demonstrated by the reduction in amplitude of the second data point relative to the first. A plot of the amplitude of this mode as a function of water volume in the pipe is shown in
In a further study, a 2 inch, schedule 10 steel pipe 40,
A transmitter array 56 and a receiver 57 were used in the through transmission mode for the data collection. Two frequencies were used; 320 kHz and 400 kHz. Theoretical consideration indicates that these two frequencies would provide reasonable energy leakage into a fluid that would lead to a suitable algorithm for determining gas entrapment volume in the pipe 50. The pipe 50 was oriented vertically with a cross-member 62 at the top, as if it were an upside-down “U”. The transmitter array 56 includes four transmitters 58-61 each using 500 kHz transducers to excite quasi-axisymmetric waves into the pipe 50. The transmitters 58-61 and receiver 57 are mounted to Plexiglass like those shown in
The pipe 50 was filled with water and ultrasonic signals were sent from the transmitter array 56 up a left vertical section 64 of the pipe 50, around the two elbows 51 and 52, and down a right side section 66 of the pipe 50 to the receiver 57. This was done with 320 kHz excitation, and again with 400 kHz excitation. A 20 cycle pulse was used to excite these waves. The incoming signal for each frequency was band pass filtered to a window of plus or minus 50 kHz from the excitation frequency. Following this test, 24 cubic inches of water was removed from the pipe 50 and the same signals were taken again. This process was repeated by removing 24 cubic inches of water at a time until all the water was removed from the pipe 50. The amplitudes of the fastest mode [Wave packet arriving first] of each signal was then measured and plotted as a function of the water level in the pipe 50,
For both the 320 kHz and the 400 kHz excitations, the amplitude of the fastest mode in each signal increased as water was removed from the pipe 50. The amplitudes grew exponentially and correlated very closely with a least-squares exponential fit. The amplitudes of the 320 kHz signals as a function of water loading superimposed with those for the 400 kHz loading are shown in
The circumferential profile (guided wave energy distribution around the pipe) at the receiver 57 was also measured. This was done using 320 kHz excitation. Measurements were taken at the receiver location at each of eight equally-spaced angular locations. The amplitude of the 585 kHz mode was not sensitive to the water volume in the pipe 50 for volumes greater than zero. This mode did leak a small amount of energy into the water as demonstrated by the reduction in amplitude of the second data point relative to the first.
The profile at the receiver location was mostly axisymmetric, but did show slight asymmetry when the pipe 50 was empty.
After performing the above test described in Examples 1 and 2, a mockup of a piping circuit 70,
Because pipe wall thickness is a critical parameter for dispersion curve generation, wave structure, and subsequent probe design, new dispersion curves,
Likewise, the interior portion of the large axial (z-direction, dashed green) displacement should also be affected by the gas-to-water ratio within the pipe circuit 70,
Transducers were excited at three frequencies, 150 kHz, 350 kHz, and 500 kHz in the through transmission mode. Of these, the 150 kHz provided the best correlation with air volume.
A series of tests were carried out on the pipe circuit 70 to determine the effects of air pocket size on the guided wave signal. Two guided wave signal features were identified as promising candidates for predicting air pocket size. An energy feature described below was used to show that a trend exists relating the total received guided wave energy to the size of the air pocket existing in the loop. Energy is calculated by generating the analytic envelope of the received RF waveform and squaring each value. It was shown that signal arrival time could be used to predict air pocket size.
One feature is the running sum of the energy starting within a user defined window and the other the total energy within that window.
Running energy is calculated as a function of time. In the final decision algorithm on gas entrapment volume, one time will be selected to draw a conclusion. All times may not work because of mode conversion, reflection factors, and sensitivity difference for different modes and frequencies that finally propagate in the pipe circuit 70.
To make gas entrapment detection even stronger, additional features such as arrival time waveforms may be used,
A transmitter array 71 of four transmitters was placed on a vertical section 72 of circuit 70 in the location shown in
An analysis was carried out to predict the results. The signal arrival time of the signal obtained on the empty pipe loop was determined to be 1420 μs. This value was determined by recording the first data point exceeding an amplitude value of 0.01 V, or ˜10% of the maximum received signal. Note that the 0.01 V threshold analysis being used here is the same as used and reported in the previous experiments. Using the same threshold analysis, the arrival time of the waveform acquired is ˜2313 μs. The energy vs. air pocket size plot shown in
Similarly, extrapolation can be used to construct an arrival time vs. gas pocket curve, as shown in
As shown in
As shown in
Additional tests were performed on the U-shaped pipe 50. Emphasis was placed on smaller volumes of air. The pipe 50 was filled with water and allowed some settling time. Thus 0% air was in the pipe 50. Total volume of the liquid filled pipe 50 from the transmitter 56 to the receiver 57 was 1,268 in3. Water was sequentially removed in 20 in3 increments or a 1.6% water removal step (1.6% air void). A sample waveform, envelope, and the energy running sum are presented in
By transmitting sound energy over a range of pipe, the total energy received is a function of the amount of water in the system. The more water in the pipe, the less energy that is received due to the amount of sound energy leaking into the fluid (i.e. a dry pipe will have a stronger signal than a water solid (or 100% full) pipe).
The amount of energy received is also dependent on the system configuration. Pipe orientation (vertical, horizontal, or combination of both) appears to have little effect on energy transmitted. Energy will pass through a limited amount of elbows. Small vent valves (typically ¾″) also have little effect on the energy which is reassuring because a majority of the emergency core cooling systems (EGGS) will have vent valves installed in high points. Pipe insulation is required to be removed only at the point of contact of the transmitters and receivers.
Because guided wave has the ability to be permanently installed, a one time calibration procedure may be used for accurate detection and quantification of gas voids. Calibration includes taking readings on a full (water solid), empty, and partial filled pipe. This calibrating process should be good for the life of the system assuming that the transmitters and receivers are always mounted at the same location and no changes to the pipe's configuration or geometry is warranted.
Guided wave may also be used for on-line monitoring or for temporary attachment to piping for verification of water solid pipe. Sensors could be permanently installed and lead wires routed into a convenient location. Periodic checks could then be rapidly acquired to detect the presence of gas. This type of monitoring would limit insulation removal and reduce total man-hours and dose exposure. Additionally, the time spent in containment is minimized and the need for scaffolding is reduced.
The ability to inspect longs runs of pipe with guided wave also has significant advantages as compared to normal beam ultrasonics which is only good for point spot identification of gas voids. The high point on a piping section may be in excess of 20 feet in length and may require multiple spot checks to locate a gas void. Performing manual spot checks can likely be time consuming however, the number of spot checks should decrease with experience. Likewise, pipe access may be limited or in extreme cases inaccessible. With the ability to monitor long lengths of pipe, the device is not dependent on accessibility as is normal beam ultrasonics.
The foregoing has described a system and method of detecting gas voids using guided wave. While specific embodiments of the present invention have been described, it will be apparent to those skilled in the art that various modifications thereto can be made without departing from the spirit and scope of the invention. Accordingly, the foregoing description of the preferred embodiment of the invention and the best mode for practicing the invention are provided for the purpose of illustration only and not for the purpose of limitation.
This application claims the benefit of Provisional Application No. 61/181,349 filed on May 27, 2009.
Number | Date | Country | |
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61181349 | May 2009 | US |