Structural health monitoring system
09719967 · 2017-08-01
Assignee
Inventors
- Grzegorz Marian Kawiecki (Madrid, ES)
- Rosa Maria Rodriguez (Madrid, ES)
- Pawel Kudela (Pruszcz Gdansk, PL)
- Wieslaw Ostachowicz (Gdansk, PL)
Cpc classification
G01N29/07
PHYSICS
G01L1/183
PHYSICS
G01N2291/0258
PHYSICS
International classification
G01N29/07
PHYSICS
Abstract
The present invention relates to a structural health monitoring system, for example a system used in the non-destructive evaluation of an aircraft structure. The present invention provides a method and apparatus for evaluating one or more anomalies within a structure using a structural health monitoring system that includes at least three transducers arranged in operative contact with the structure such that no two transducers are aligned to be parallel. A transducer excites an elastic wave that propagates through the structure, and reflections from any anomalies within the structure are collected by the three transducers. These collected signals are analyzed to identify an anomaly within the structure. Time of flight techniques are used to determine the location of the anomaly.
Claims
1. A method of evaluating damage within a structure using a structural health monitoring system comprising at least three receivers arranged in direct contact with the structure and a single transmitter arranged in direct contact with the structure and separate from the at least three receivers, the at least three receivers having corresponding longitudinal axes extending in different directions such that no two of the at least three receivers are aligned to be parallel, the method comprising: propagating an elastic wave through the structure using the single transmitter; collecting monitoring signals from the at least three receivers to monitor for reflections of the elastic wave from at least one anomaly within the structure; and analysing the monitoring signals to identify the at least one anomaly.
2. The method of claim 1, wherein analysing the monitoring signals comprises performing a differencing operation wherein, for each receiver of the at least three receivers, a corresponding reference signal is subtracted from corresponding monitoring signals collected by a corresponding receiver of the at least three receives, and wherein resultant differencing signals are used to identify the at least one anomaly within the structure.
3. The method of claim 2, wherein the structure comprises an aircraft component and, further comprising: collecting reference signals from the aircraft component for each receiver of the at least three receivers, after the aircraft component is deemed ready for operation of the aircraft.
4. The method of claim 1, wherein analysing the monitoring signals to identify the at least one anomaly comprises calculating a corresponding time of flight of corresponding reflections received by each receiver of the at least three receivers.
5. The method of claim 4, wherein analysing the monitoring signals comprises calculating corresponding distances from each of the corresponding time of flights and wherein a location of the at least one anomaly is determined from the corresponding distances.
6. The method of claim 5, wherein determining the location of the at least one anomaly comprises identifying the location from the corresponding distances, a first known location of the single transmitter, and at least a second known location of at least one of the at least three receivers.
7. A method of evaluating damage within a structure using a structural health monitoring system comprising a first array of a first set of at least three receivers arranged in direct contact with the structure, the first set of at least three receivers having corresponding first longitudinal axes extending in different directions such that no two of the first set of at least three receivers are aligned to be parallel, the first array further comprising a first single transmitter arranged in direct contact with the structure in proximity to and separate from the first set of at least three receivers, and the structural health monitoring system further comprising a second array of a second set of at least three receivers arranged in direct contact with the structure, the second set of at least three receivers having corresponding second longitudinal axes extending in different directions such that no two of the second set of at least three receivers are aligned to be parallel, the second array further comprising a second single transmitter arranged in direct contact with the structure in proximity to and separate from the second set of at least three receivers, wherein the first and second arrays are spaced apart from each other, the method comprising: propagating a first elastic wave through the structure using the first single transmitter of the first array; collecting a first set of monitoring signals from the first set of at least three receivers of the first array to monitor for first reflections of the first elastic wave from at least one anomaly within the structure; propagating a second elastic wave through the structure using the second single transmitter of the second array; collecting a second set of monitoring signals from the second set of at least three receivers of the second array to monitor for second reflections of the second elastic wave from the at least one anomaly within the structure; and analysing the first set of monitoring signals and the second set of monitoring signals to identify the at least one anomaly and to determine a first direction from the first array to the at least one anomaly and to determine a second direction from the second array to the at least one anomaly.
8. A structural health monitoring system for monitoring a structure, comprising: a first set of at least three receivers in direct contact with the structure, the first set of at least three receivers having corresponding longitudinal axes extending in different directions such that no two of the first set of at least three receivers are aligned to be parallel; a first single transmitter in direct contact with the structure in proximity to and separate from the first set of at least three receivers, wherein the first single transmitter is configured to excite a first elastic wave to propagate through the structure; and a processor directly coupled to the first set of at least three receivers, the processor configured to collect a first set of corresponding monitoring signals from corresponding ones of the at least three receivers, wherein the processor is further configured to analyse the first set of corresponding monitoring signals to identify at least one anomaly within the structure.
9. The structural health monitoring system of claim 8, wherein the processor is further configured to calculate a corresponding time of flight of corresponding reflections received by each receiver of the at least three receivers.
10. The structural health monitoring system of claim 9, wherein the processor is further configured to calculate corresponding distances from each of the corresponding time of flights and wherein a location of the at least one anomaly is determined from the corresponding distances.
11. The structural health monitoring system of claim 10, wherein the processor is further configured to determine the location of the at least one anomaly by identifying the location from the corresponding distances, a first known location of the single transmitter, and at least a second known location of at least one of the at least three receivers.
12. The structural health monitoring system of claim 8 further comprising: a second set of at least three receivers in direct contact with the structure; a second single transmitter in direct contact with the structure, wherein the second single transmitter is configured to excite a second elastic wave to propagate through the structure; wherein the processor is directly coupled to the second set of at least three receivers, the processor configured to collect a second set of corresponding monitoring signals from corresponding ones of the second set of at least three receivers, wherein the processor is further configured to analyse both the first set of corresponding monitoring signals and the second set of corresponding monitoring signals to identify the at least one anomaly within the structure.
13. The structural health monitoring system of claim 12 wherein, for each receiver of the first set of at least three receives and for each receiver of the second set of at least three receivers, a corresponding receiver comprises a corresponding piezoelectric transducer with a corresponding longitudinal axis and a corresponding transverse axis, wherein each corresponding receiver is arranged such that no two receivers have aligned longitudinal axes, and wherein the processor is further configured to determine corresponding longitudinal and transverse strain components that are used in combination with a corresponding known orientation of each corresponding receiver to determine a direction to the anomaly.
14. The method of claim 1 further comprising: determining plain strain components at the at least three receivers based on the monitoring signals.
15. The method of claim 1, wherein analysing comprises: using the monitoring signals to generate an overdetermined system of three non-linear equations with two unknowns; and solving the over-determined system of three non-linear equations to determine a position of the at least one anomaly.
16. The structural health monitoring system of claim 8, wherein the processor, in being configured to analyse, is configured to: use the monitoring signals to generate an overdetermined system of three non-linear equations with two unknowns; and solve the over-determined system of three non-linear equations to determine a position of the at least one anomaly.
17. The structural health monitoring system of claim 8, wherein: the at least three receivers comprise a first receiver having a first end, a second receiver having a second end, and a third receiver having a third end; the first and third receivers are arranged at a right angle to one another; the second receiver bisects the right angle; and the transmitter is positioned proximate where the first end, the second end, and the third end meet.
18. The structural health monitoring system of claim 8, wherein: the at least three receivers comprise a first receiver having a first end, a second receiver having a second end and a third end opposite the second end, and a third receiver having a fourth end the first end, the second end, and the fourth end converging at about a vertex; the first and third receivers are arranged at a right angle to one another; the second receiver bisects the right angle; and the transmitter is positioned proximate the third end.
19. The structural health monitoring system of claim 8, wherein: the at least three receivers comprise a first receiver, a second receiver, and a third receiver; the first and the third receivers are arranged at about sixty degrees to each other so as to form about an equilateral triangle that surrounds the transmitter; and the transmitter is about centrally positioned within the equilateral triangle.
20. The structural health monitoring system of claim 8, wherein: the at least three receivers comprise a first receiver having a first end, a second receiver having a second end, and a third receiver having a third end; the first receiver, the second receiver, and the third receiver all radiating outwardly from the transmitter such that the transmitter is proximate the first end, the second end, and the third end; and the first receiver, the second receiver, and the third receiver are arranged with angles of one hundred and twenty degrees between each other.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) In order that the present invention may be more readily understood, preferred embodiments will now be described, by way of example only, with reference to the following drawings, in which:
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DETAILED DESCRIPTION OF THE INVENTION
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(18) The structural health monitoring system 100 monitors the structure 10 for damage such as an area of delamination within the composite structure 10 as may be caused by an object striking the structure 10. The site of the damage is indicated at damage or damage site 20, also referred further herein as anomaly 20 or anomalies 20 in
(19) At step 210, a transducer 110 from the array 105 is operated so as to excite an elastic wave that propagates through the structure 10, as shown at site 30 in
(20) The array 105 of transducers 110 may be used to collect, obtain, or acquire signals over a time-window corresponding to the time taken for the elastic wave to propagate to the furthest edge of the structure 10 and back again (or slightly longer) to ensure all reflection events are captured. At step 230, the signals are analysed and any reflection events indicating one or more anomalies and or at least one anomaly such as damage or damage site 20 within the structure 10 are identified as being indications of potential damage or damage site 20 to the structure 10.
(21) At step 240, the anomalies 20 found are reported. The reporting may be visual (for example, as a display on a monitor or the like) or it may correspond to storing the data for later retrieval and inspection (for example, saving a data file providing details of the anomalies 20 found). As indicated at 250, the method may repeat, such that the structure 10 is periodically or continually monitored by the structural health monitoring system 100. The frequency with which the method of
(22) The processor 120 of the structural health monitoring system 100 may take many forms, provided it is capable of performing the necessary analysis of the signals provided by the transducers 110. It is preferred for the processor 120 to be capable of sending drive signals to the transducers 105 that excites elastic waves in the structure 10. A suitably programmed computer is a good choice for the processor 120. The processor 120 may be located close to the array 105 of transducers 110, as shown in
(23) The signals from the transducers 110 may be relayed to the processor 120 by a data link or connection 130 of the appropriate length. The data link or connection 130 may be a wired link or it may be wireless. Moreover, it may be a dedicated link or it may be a shared link, for example part of a shared data bus or other network.
(24) Optionally, the processor 120 may have a further data link 140 to allow connection to another device, for example another computer or a display. The data link 140 may be wired or wireless, dedicated or shared.
(25) Different arrangements of the one or more and preferably three or more, transducers 110 within an array 105 are possible. In preferred embodiments, arrays 105 of four transducers 110 are used, of which one is a transmitting transducer 110T and three are receiving transducers 110R. Whether acting as a transmitting transducer 110T or as a receiving transducer 110R, it is currently preferred to use macro fibre composite piezoelectric transducers, like those available from Smart Material Corporation, 1990 Main Street, Suite 750, Sarasota, Fla. 34236, USA. Such transducers are capable of both transmitting and detecting elastic waves. How the transducers 110 are arranged on the structure 10 can be tailored according to where they are to be attached.
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(29) As shown in
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(33) Alternatively, the one or more, preferably three or more, transducers 110 may be attached to the structure 10 in a number of different ways. The transducers 110 may be surface bonded to the structure 10, affixed using adhesives, fastened to the structure 10 using mechanical fasteners such as screws or rivets, or any other way of providing a firm and enduring attachment.
(34) The transducers 110 may be located within recesses provided in the structure 10, for example at edges or on a surface of the structure 10. The structural health monitoring system 100 may be retrofitted to existing structures 10, for example parts of aircraft already in service.
(35) The transducers 110 may be simply fastened to a surface of the structure 10, either an internal or external surface, or the structure may be modified better to accommodate the transducers 110. For example, if mounted externally, recesses may be formed in the exterior surface of the structure 10 to allow the transducers 110 to be mounted and a flush surface of the structure 10 restored. Locating the transducers 110 internally has advantages in that the transducers 110 are protected from environmental factors like UV radiation and ice, and also in that they do not affect the aerodynamics of the aircraft 50. However, locating the transducers 110 internally may give rise to access issues that make fastening the transducers 110 to an external surface preferable. In addition, some structures 10 may not have internal and external surfaces as such, for example beams.
(36) Returning to the method of
(37) The reference signals are collected from each receiving transducer 110R for when the structure 10 is in its virgin, undamaged state. Although no anomalies are present, the reference signals will contain reflection events due to the elastic wave being reflected by intended features within the structure 10, such as edges, rivets, fasteners, and joins with stiffeners or other support structures.
(38) The reference signals are stored by the processor 120 for later use during the ongoing operation of the structure 10. The reference signal for each sensor or transducer 110R may have been collected from the virgin structure at a point in time when such structure is in a known condition, such as some time after manufacture and assembly, and before operational service.
(39) It may also be preferable to obtain subsequently new and/or replacement reference signals as the structure endures operational use and periodic maintenance, such as during periodic structural inspection and maintenance periods, as well as at other appropriate times. In this way, such structures can be monitored for changes from a nominal operational condition whether post-manufacture or any other time or instance after which the structure is deemed ready for operational use.
(40) The structure 10 enters service life, and is periodically monitored by the structural health monitoring system 100, as indicated by “obtaining monitor signals” at step 530 and the return loop 540. As previously described with reference to
(41) A method of collecting, obtaining, or acquiring the reference signals will now be described, and is illustrated in
(42) The propagation of the reflected waves back to the receiving transducers 110R cause the receiving transducers 110R to oscillate and produce a corresponding oscillating electrical signal or signals that is/are collected, obtained, or acquired and stored by the processor 120 as references, as shown at 630. Preferably, the signal to noise ratio in the reference signals is improved by repeating steps 610 and 620, such that a series of elastic waves are excited and reference signals collected, obtained, or acquired each time cumulatively so as to increase statistics.
(43) Structural health monitoring systems 100 according to the present invention may be implemented in different ways. Two currently-preferred embodiments will now be described. The first embodiment employs a time-of-flight method to locate the position of an anomaly or anomalies such as damage or damage site 20, using a single array 105 of transducers 110. The second embodiment employs two or more arrays 105 of transducers 110. Each array 105 of transducers 110 is used to determine a direction to an anomaly or anomalies such as damage or damage site 20. The directions provided by the two or more arrays 105 are used to determine the position of the anomaly or anomalies or damage or damage site 20 through triangulation.
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(45) At 730, the monitoring signal produced by each receiving transducer 110R has the associated reference signal for that transducer 110R subtracted to produce a difference signal or signals. At 740, the processor 120 analyses the difference signals it produced to identify reflection events within the difference signal or signals, and the processor 120 analyses the difference signals it produced to identify anomalies. The method then continues for each reflection event identified as follows.
(46) If no reflection events are detected, the method can loop back to the start 710, via paths 745 and 790. When reflection events are detected, the method continues through steps 750, 760 and 770, and repeats for each reflection event via return loop 775. At step 750, the time of flight for the reflection event in each of the difference signals is determined.
(47) For example, the processor 120 has an associated clock to which launching the elastic wave at 710 and recording or acquiring of the monitoring signals at 720 are referenced. This allows the time elapsed between launch and the reflection event being detected to be determined. At step 760, the processor 120 converts each time of flights found in step 750 to the equivalent distance from the associated transducer 110, and then uses triangulation to determine the distance and position of the anomaly giving rise to the reflection event.
(48) At step 770, the processor 120 checks to determine whether other reflection events require processing, or whether all events have been processed. If yes (all events have not been processed), the method loops back via path 775; or, if not (all events have been processed), the method continues to step 780 where the processor 120 produces a report of the anomalies identified and located. This report may be for immediate display, or may correspond to an accumulation of data, in a data file or the like, for later inspection. For example, the processor 120 may update a data file to add newly discovered anomalies found in the last iteration of the method. Once reporting step 780 is complete, the method loops back along path 790 to return to step 710.
(49) It will be appreciated that the method of
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(51) Steps 810 and 820 largely correspond to steps 710 and 720 of
(52) At step 830, the processor 120 calculates the difference signals. This is done by subtracting the stored reference signal from the monitoring signal just acquired for each receiving transducer 110R.
(53) In reality, a simple subtraction of the reference signal from the associated monitoring signal is not possible due to the presence of many factors like random noise, temperature effects, and time shifts due to electrical inaccuracy. It is known that subtraction of two signals recorded at different moments in time, and in spite of very similar conditions, will lead to coherent noise, and the present situation is no exception.
(54) In fact, where the signal reflected from damage is weak in intensity, coherent noise levels can be sufficiently high to make damage detection very difficult or sometimes impossible. However, several well-known signal processing techniques may be applied to obtain a high signal to noise ratio, such as filtering, denoising, signal averaging, temperature compensating, wavelet decomposition, etc. A general introduction to selected signal processing techniques is given e.g., by Staszewski W. J., 2002, Intelligent signal processing for damage detection in composite materials, Composites Science and Technology, V. 62, N. 7-8, pp. 941-950. Denoising procedures based on the wavelet analysis are described by Shim I., Soragan J. J. and Siew W. H., 2000, A noise reduction technique for on-line detection and location of partial discharges in high voltage cable networks, Meas. Sci. Technol., V. 11, pp. 1708-1713 and Major A. G., Fretwell H. M., Dugdale S B, Rodriguez-Gozalez A. R. and Alam M. A., 1997, De-noising of two-dimensional angular correlation of positron annihilation radiation data using Daubechies wavelet thresholding, J. Phys.: Condens. Matter, V. 9, pp. 10293-10299. Temperature compensation techniques are described, e.g., by Konstantindis G., Wilcox P. D. and Drinkwater B. W., 2007, An Investigation Into the Temperature Stability of a Guided Wave Structural Health Monitoring System Using Permanently Attached Sensors, IEEE Sensors Journal, V. 7, No. 5, pp. 905-912 and Lu Y. and Michaels J. E., 2005, A Methodology for Structural Health Monitoring with Diffuse Ultrasonic Waves in the Presence of Temperature Variations, Ultrasonics, V. 43, pp. 717-731.
(55) Selection of these techniques may be made to provide the desired accuracy in the results obtained, as is well known in the art. This pre-processing of the monitoring signals is performed at step 825. Once the monitoring signal has been pre-processed at 825, the subtraction is performed at 830.
(56) At step 835, the difference signals are subjected to a thresholding operation by the processor 120, as will now be described by reference to the array 105 of transducers 110 shown in
(57) Such an array may yield difference signals like those shown in
(58) The example of
(59) To identify reflection events, peaks are selected that exceed a threshold level. An example of a threshold level is shown in
(60) At 840, anomalies are identified from the reflection events shown as peaks within the difference signals that exceed the threshold level. If no anomalies are found, the method may loop back to the start at step 810 via 845 and 890.
(61) Assuming anomalies are identified, the method continues to step 850 where the time of flight is acquired or determined for each reflection event identified in the difference signals of each of the three receiving transducers 110R. The apparent time of flight that may be deduced from when the peak first exceeds the threshold level (shown as t2 in
(62) An appropriate correction t.sub.0 can be determined, for example, by a correlation method (by assuming that the reflected wave packet will be similar to the excited wave packet). After the time of flight corrections have been made, the time shifts in the difference signal for each receiving transducer 110R are defined as:
{circumflex over (t)}.sub.i=t.sub.i−t.sub.0 i=1,2,3 Eq. (1)
(63) Next, at step 860, the distance travelled by the wave packets as detected by each receiving transducer 110R is determined. These distances are shown in
R.sub.1=R.sub.A+R.sub.S1
R.sub.2=R.sub.A+R.sub.S2
R.sub.3=R.sub.A+R.sub.S3 Eq. (2)
with R.sub.A being the outbound distance shown in
R.sub.1={circumflex over (t)}.sub.1c.sub.g
R.sub.2={circumflex over (t)}.sub.2c.sub.g
R.sub.3={circumflex over (t)}.sub.3c.sub.g Eq. (3)
where c.sub.g is the group velocity of the appropriate propagating mode of the wave packet. With the distances R.sub.1, R.sub.2 and R.sub.3 found, the position of the anomaly 20 may be determined, as follows.
(64) It is assumed that the wave reflected from the anomaly 20 is circular. Accordingly, three circles with a common centre at the location of the anomaly 20 (x.sub.p, y.sub.p) are defined using Eq. (4).
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where (x.sub.S1, y.sub.S1), (x.sub.S2, y.sub.S2), (x.sub.S3, y.sub.S3) are coordinates of the centres of the receiving transducers 110R, and (x.sub.p, y.sub.p) are coordinates of the anomaly 20.
(66) Substituting Eq. (2) into Eq. (4) gives
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Eq. (5) represents a system of three nonlinear equations with only two unknowns x.sub.p and y.sub.p (there is also the variable R.sub.A, but this variable depends on the unknowns x.sub.p and y.sub.p). As there are more equations than unknowns, the system is over-determined.
(68) Thus, it is apparent that an array 105 of transducers 110 having just two transducers 110 may be used to provide a location of the anomaly or damage or damage site 20, although such a system may not provide an unambiguous location in all instances, and the present invention encompasses such arrangements. However, it is preferred to use three or more transducers 110 to ensure unambiguous determination of the location of the anomaly or damage or damage site 20, and to provide an over-determined system that provides increased accuracy in determining the position of the anomaly or damage or damage site 20.
(69) Optimisation techniques may be used to solve over-determined systems. For example, a least-square solution of the over-determined system may be obtained by minimizing the following functional:
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The solution for (x.sub.p, y.sub.p), i.e. the location of the anomaly 20 in the structure 10, is obtained numerically and identified in this way.
(71) It will be appreciated from the equations above that there is no requirement for each transducer 110 to be aligned in a different direction. Thus, with this method, two or more transducers 110 may be aligned, i.e. their longitudinal and transverse axes may extend to be parallel.
(72) With the position of the anomaly or damage or damage site 20 now found by step 860 of
(73) A second method of operating a structural health monitoring system 100 will now be described with reference to
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(75) At step 1210a, an elastic wave is excited using a first array 105 of transducers 110. Monitoring signals are acquired, pre-processed, differenced and thresholded to identify anomalies 20 at step 1240a. At step 1255a, each anomaly 20 identified is taken in turn and the direction from the first array 105 to the anomaly 20 is determined. How this is performed is described below with reference to
(76) With the anomalies or damage or damage site 20 and their directions from the first array 105 of transducers 110 determined, the method proceeds to steps 1210b to 1255b. These steps repeat steps 1210a to 1255a, but in respect of a second array 105 of transducers 110. Hence, the anomalies or damage or damage site 20 are identified and their directions from the second array 105 of transducers 110 are determined.
(77) As indicated by broken arrows 1256, the method may repeat steps 1210 to 1255 for further arrays 105 of transducers 110 (such that three or more sets of data of distances to identified anomalies or damage or damage site 20 are collected, obtained, or acquired).
(78) Although each iteration of steps 1210 to 1255 for each array 105 of transducers 110 is shown to occur sequentially in
(79) Once all data has been gathered, either using two arrays 105 as indicated by arrow 1258 or using more than two arrays 105 as indicated by arrows 1256, the method proceeds to step 1265 where the directions obtained by each array 105 of transducers 110 for each anomaly 20 identified is used to determine the positions of those anomalies 20. This step 1265 is described in more detail below, but essentially relies on the intersection of the pair of the directions to each identified anomaly 20.
(80) Once the positions of the anomalies or damage or damage site 20 have been determined, the anomalies or damage or damage site 20 are reported at step 1280. This step corresponds to step 880 of
(81) The step 1255 of determining the direction to each anomaly or damage or damage site 20 will now be explained with reference to
(82) A structure 10 to be monitored is provided with two arrays 105A,B of transducers 110, with each array 105A,B comprising three receiving transducers 110A.sub.R1-3. 110B.sub.R1-3 and a transmitting transducer 110A.sub.T, 110B.sub.T. An anomaly 20 is shown, along with an elastic wave 40 reflected from the anomaly 20 towards the first array 105A.
(83) Transducer 110A.sub.R1 is shown in greater detail in
ε.sub.1=ε.sub.x′ cos.sup.2 Δ Eq. 7
and
ε.sub.2=ε.sub.x′ sin.sup.2 Δ Eq. 8
where Δ is the angle between the longitudinal axis of the transducer 110A.sub.R1 and the direction of the incoming wave 40, i.e. β−α in
(84) The signal generated at the receiving transducers 110A.sub.R1-3 can be computed as
V.sup.1=S.sub.1ε.sub.1.sup.1+S.sub.2ε.sub.2.sup.1
V.sup.2=S.sub.1ε.sub.1.sup.2+S.sub.2ε.sub.2.sup.2
V.sup.3=S.sub.1ε.sub.1.sup.3+S.sub.2ε.sub.2.sup.3 Eq. 9
where the sensitivity factors S.sub.1 and S.sub.2 depend on the relation between transducer length and elastic wavelength and on the relative orientation of the receiving transducer 110A.sub.R1-3 and elastic wave direction impingement.
Note that
(85)
where the transverse sensitivity ratio K.sub.T is defined as
(86)
where l and b are the length and width of the receiving transducer 110A.sub.R1-3 respectively, k is the wave number, d.sub.31 and d.sub.32 are piezoelectric constants of the receiving transducer 110A.sub.R1-3 and E.sub.1 and E.sub.2 the Young's moduli along the longitudinal and transverse directions.
(87) The plain strain components at the array centre may be computed using the classical relationships derived for strain gauge rosettes (see Mechanics of Materials by R. C. Hibbeler, published by Prentice Hall, Inc. in 1997). The strain transformation equation for determining the strain state in a x′y′ coordinate system rotated by a with respect to a reference xy system is:
ε.sub.x′=ε.sub.x cos.sup.2 α+ε.sub.y sin.sup.2 α+γ.sub.xy sin α cos α
ε.sub.y′=ε.sub.x sin.sup.2 α+ε.sub.y cos.sup.2 α−γ.sub.xy sin α cos α
γ.sub.x′y′=2(ε.sub.y−ε.sub.x)sin α cos α+γ.sub.xy(cos.sup.2 α−sin.sup.2 α) Eq. 12
(88) In a similar manner, the plain strain components can be determined from the response of the three receiving transducers 110A.sub.R1-3:
(89)
where the transformation matrix can be written as:
(90)
(91) The orientation of a perpendicular to the antisymmetric elastic wave front 40, also referred to above as incoming wave 40. (the principal strain angle of the wave) can be defined using another relation known from the strain gauge theory:
(92)
(93) Please note that the signals collected at a single array 105 are sufficient only to determine the direction β towards the anomaly 20, but not its location. Hence, one or more further arrays 105 are used to find the exact anomaly location. The anomaly location (y.sub.D, x.sub.D) can be computed using a system of two linear algebraic equations (Matt H. M. and Lanza di Scalea F., 20007, “Maco-fiber composite piezoelectric rosetes for acoustic source location in complex structures,” Smart Mater. Struct., V. 16, pp. 1489-1499:
y.sub.D=(x.sub.D−x.sub.1)tan(β.sub.1)+y.sub.1 Eq. 16
y.sub.D=(x.sub.D−x.sub.2)tan(β.sub.2)+y.sub.2 Eq. 17
where x.sub.1, y.sub.1 and x.sub.2,y.sub.2 are the coordinates of the transmitting transducers 110A.sub.T and 110B.sub.T.
(94) Where the method of
(95) Time of flight measurements may be used to address this. For example, with the locations of all intersections determined, a transmitting transducer 110T may be used to send out an elastic wave, and reflections are detected by a receiving receiver 110R. Anomalies 20 may be detected in the received signal, and the time of flights determined. These can then be compared to the intersections identified, and intersections with no matching time of flight measurement may be discarded as “false” anomalies.
(96) Both the methods of
(97) A transducer built of three non-directional piezoelements (e.g. disks) would be sufficient to detect and localise damage in simple structures such as aluminium skin panels using time-of-flight methods like those described above. A more complicated implementation, e.g. a set of at least two arrays 105, might perform better for complex structures 10 such as curved carbon composite panels with significant structural damping.
(98) The accuracy of measurements will depend, among other things, on the accuracy of transducer manufacturing. A brief look at equations 13 and 14 reveals that the arrays 105 used for the method of
(99)
(100) Each array 105 provides signals that are used to identify anomalies within the associated structure 10. A central processor 120 may be provided that operates all the arrays 105, groups of the arrays 105, or each array 105 may have a dedicated processor 120.
(101) Those skilled in the art will appreciate that modifications may be made to the embodiments described above without departing from the scope of the invention that is defined by the appended claims.
(102) For example,
(103) A separate transmitting transducer 110T need not be provided, as one or more of the receiving transducers 110R may be used to launch the elastic wave into the structure 10. Moreover, two or more separate transmitting transducers 110T may be used.