1. Introduction
Acoustic emission (AE) technology is widely applied in structural health monitoring (SHM) and nondestructive evaluation (NDE) due to its remarkable advantages such as dynamic, sensitivity, integrity, and timeliness [
1,
2,
3]. The purpose of AE detection is to obtain information about the AE source from the collected AE signals and then to estimate information about material or structural damage [
4]. Many scholars have conducted research in this area. Chen et al. [
5] measured the AE characteristics of collapsing holes and the movements of dislocations in Mg-Ho alloys during structural collapse, and the analysis showed that porous collapse is fully consistent with Bath’s law, while dislocation movements are not. Chen et al. [
6] used the profile analysis of AE signals and characteristic parameters to distinguish dislocation movements and dynamic entanglements in fcc 316L stainless steel. Jiang et al. [
7] carried out ring shear friction experiments within a certain shear rate range, and their results revealed that both shear rate and particle size affect the mechanical behavior of shear resistance, specimen compaction and slip displacement, as well as the release of acoustic energy. Salje [
8] clarified the local structure of jammed twin boundary patterns using computer simulation and found that the friction in ferroelastomer and martensite is associated with movement of the boundary and other microstructures. Salje et al. [
9] numerically simulated the microstructure changes of ferroelastic or martensitic materials during mechanical shear and their AE spectrum characteristics during strain-induced yield and detwinning. The types of AE signals generated with different strengths were analyzed from the perspective of energy. Casals et al. [
10] concluded through simulations that the AE rise time better reflects the atomic avalanche time profile than the duration of the AE signal. These studies have demonstrated the potential of AE for condition monitoring and structural damage identification.
However, stiffeners are widely used on the surfaces of cylindrical shells such as engine casing or thin-walled vessels to reduce the structural weight. Complicated phenomena, such as scattering, interference, and mode conversion, occur when the fault AE signal passes through these stiffeners. These stiffeners interfere with the fault AE signal and limit the effective range, thus reducing the accuracy of fault diagnosis. Therefore, in order to clarify the interaction mechanism between the stiffeners on the cylindrical shell, such as engine casings and thin-walled vessels, and the AE signal and to improve the ability of AE technology in fault detection, it is essential to investigate the influence of stiffeners attached to cylindrical shell structures on AE signal propagation characteristics.
There are many studies in the literature on the propagation characteristics of AE signal in a cylindrical structure. Alleyne et al. [
11,
12] investigated the reflection of the axially symmetric guided elastic wave L(0,2) from notches in pipes, and maps of reflection coefficient as a function of the circumferential extent and depth of the defect have been presented. Lowe et al. [
13] conducted a series of experiments and simulations to measure the reflection of the axially symmetric mode and of the mode-converted non-axially symmetric modes with an increase in the circumferential extent of the notch, which can be used in pipeline NDE to discriminate the axially symmetric reflectors such as circumferential welds and any non-axially symmetric defects. Zheng et al. [
14] carried out numerical simulations on the propagation characteristics of L(0,2) and T(0,1) mode guided waves in pipes and their interaction with defects and demonstrated the propagation process of the ultrasonic guided waves in pipes and the modal conversion of each guided wave. Xiao et al. [
15] used the explicit finite difference method to study the propagation characteristics such as reflection, transmission, and attenuation of AE signals in a straight shaft, a stepped shaft, and a stepped shaft with a tool withdrawal groove. The results were verified by experiments. Li et al. [
16] analyzed the influence of the stiffeners on the lamb wave via finite element simulation and obtained the lamb wave energy factor curve while studying the impact source location in the stiffened panel of the spacecraft’s sealed bulkhead. However, the structure normally used was attached with multiple stiffeners, and research on the propagation characteristics of acoustic emission signals at a stiffener structure is scarce. Sun et al. [
17] investigated the propagation characteristics of the AE wave in a fluid-loaded pipeline and the influence of pipeline auxiliary structures such as weld, tee, and flange on defect location. The results show that these structures could affect the AE signal in different degrees and then affect the fault location accuracy. Li et al. [
18] proposed a leak location method for the pipeline based on a modal AE time-frequency analysis to solve the problem of large location errors caused by dispersion during AE wave propagation, which could effectively suppress the dispersion of leakage-induced AE signals. It can be seen from the literature that many explorations on the propagation characteristics and related applications of AE signals in cylindrical structures have been carried out.
However, there is little literature that reported the effect of a stiffened cylindrical shell on the propagation process of an AE signal. The propagation of AE signals in the plate with a stiffener has been studied. Reusser et al. [
19,
20] developed a simplified explanatory model for the scattering of guided plate waves at normal incidence upon an integral stiffener based on approximate guided wave theories. The guided wave propagation characteristics of plate stiffeners and its influence on the performance of acoustic source location were examined by experiments and simulations. It was demonstrated that operating in the frequency range of a high plate wave stiffener transmission could improve the reliability of the source location in a plate. Pau et al. [
21] shed light on the interaction of guided waves with discontinuities composed of sharp reductions in plate height and demonstrated a novel method for calculating scattering coefficients exploiting the principle of reciprocity in elastodynamics. It shows that the analytical solution provided results that coincide with those of the numerical model, which proves the effectiveness of the proposed method. Liu et al. [
22] simulated the modal conversion phenomenon of a hypervelocity impact AE signal at a ring-stiffened plate. Yin et al. [
23] experimentally analyzed the effects of the manned spacecraft with a stiffened panel on AE signals caused by a hypervelocity impact in wave mode, frequency domain, and time domain. The results implied that the stiffened panel had filtering effects on high frequency components of the signal. Haider et al. [
24] calculated the scattering coefficients of lamb wave modes from geometric discontinuities using an analytical method called complex mode expansion with vector projection (CMEP). The obtained experimental results agrees with the global analytical predictions. Li et al. [
25] studied the effects of integral stiffeners with different geometries upon vertically incident Lamb waves. Experiments and simulations showed that stiffeners acted similar to comb filters on lamb waves of different frequencies. Qi et al. [
26] compared the differences in the leakage AE signals before and after passing the stiffeners in both the time domain and the frequency domain. The filtering characteristics of different frequency bands was obtained according to the proposed stiffener-passing coefficient, and the accuracy of leakage location could be improved by selecting the proper filtering frequency. In the previous study [
27], the author clarified the characteristics of AE signals propagating in the plate with the stiffener and quantified the scattering of AE signals at the stiffener with a different height. It can be learned from these studies on the characteristics of signal propagating in a plate with a stiffener that using scattering coefficients to quantify the scattering characteristics of a signal is an important technical method.
The characteristics of AE signals, such as the existence mode, the propagation characteristics, and the evolution mechanism, in a stiffened cylindrical shell and a stiffened plate are different due to their structural differences. The propagation characteristics of the signal in the shell are extremely complicated compared with those of the plate, and therefore, the results obtained from the stiffened thin plate do not hold for cylindrical shells. Hence, it is essential to investigate the characteristics of the AE signal propagating in the cylindrical shell with a stiffener and to summarize the interaction mechanism between the AE signal and the stiffener on the cylindrical shell.
It is well known that the AE signal generated by faults consists of different frequencies and multiple modes. It is difficult to acquire a unique characteristic of a certain frequency or mode propagating in the structure due to the complex and confusing waveform if the acquired AE signal is analyzed as a whole. Therefore, from the perspective of the single frequency and the single mode, this paper carries out a fundamental study on the characteristics of the AE signal propagating in the cylindrical shell with a stiffener based on the determined monitoring position according to specific criteria. This study proposes the multipath propagation model about the AE signal propagate in a stiffened cylindrical shell and derives the constraint conditions for monitoring positions to separate the direct signal, stiffener scattering signals, and other signals in the time domain. On this basis, the interplay between the single-mode AE signal and the stiffener on the cylindrical shell is summarized from the numerical simulation results, and the scattering coefficient is employed to characterize the propagation characteristics of the single-mode AE signal at the stiffener with different heights. Then, the numerical simulation is validated by experiments.
In this paper, the theory and methodology are discussed in
Section 2. Then, the numerical simulations and the experiments are, respectively, dealt with in
Section 3 and
Section 4.
Section 5 shows the results and discussions. Finally, the conclusions are provided in
Section 6.
3. Simulations
A 3-D finite element model (FEM) of the stiffened cylindrical shell was built for numerical analysis of the interaction between the AE signal and the stiffener. The corresponding specification is shown in
Figure 4.
The outer diameter for the cylindrical shell in the model was 1000 mm, the wall thickness was 2 mm, and the axial length was 600 mm. The stiffener’s axial length was 5 mm, and the outer diameter was (1000 + 2
h) mm. The stiffener was attached to the cylindrical shell and located in the middle of the shell.
h varied from 0 to 40 mm for different demands and practical dimensions. A dynamic displacements was excited along the
z-axis on ES to generate the simulated AE signal with L(0,1) mode as the main mode. The excitation signal was a modulated sinusoidal pulse with three cycles, with its center frequency
fc varying from 100 kHz to 170 kHz based on the bandwidth in which fatigue cracks occur and grow. The time domain waveform for the excited signal with
fc = 150 kHz is shown in
Figure 5. The parameters that meet the waveform separation conditions in
Section 2.3 were specifically chosen as
d1 = 30 mm,
d2 = 50 mm,
d3 = 100 mm,
d4 = 220 mm, and
d5 = 200 mm, which was utilized to determine the placements of EP, R, and T.
Table 1 summarizes the material properties employed in the simulations. Free boundary conditions are imposed to the FEM in simulations ensuring consistency between simulations and experiments. All FEM models are meshed by tetrahedral grid elements. To ensure proper calculation precision and convergence, for the wave with the highest frequency, more than 20 elements in the wavelength were used, and the time step was set to at least 1/20 of the highest frequency. Therefore, the maximum cell grid is 0.2 μs, and the time step is determined to be 0.7 mm. To reduce the time cost of simulation, the response period obtained from simulations continues for 0.15 ms, which contained the interested scattered signals.
5. Results, Analysis, and Discussion
5.1. The Process of Signal Propagation
Figure 8 displays the simulated displacement contour plot in the z-direction before and after the stiffener is used at the given time instants after the AE signal with
fc = 150 kHz encountering the stiffener at
h = 16 mm.
With reference to
Figure 8, the stiffener interferes with the signal propagation. This figure clearly shows that the stiffener influences the signal propagation. The excited AE signal dominated by the L(0,1) mode spreads around at the beginning and then interacts with the stiffener. A mode conversion can be observed, which interferes with the propagation of the original signal, as shown in
Figure 8b–d. These scattered waves with multiple modes and other waves (including the wave reflected from edges and the wave traveling around the circumference) were then received successively by R and T. Although their propagation phenomenon is complicated, it should be noted that the color of L(0,1) is darker than that of L(0,2), which indicates that the L(0,1) mode accounts for the dominant component in propagation.
A qualitative description about the interaction between the L(0,1) mode and a change in the height of the stiffener is presented below.
Figure 9 and
Figure 10, respectively, show the time amplitude relations acquired by R and T for the reflection and transmission of the incident L(0,1) signal with a stiffener at different heights. The incident wave and reflected waves can be easily distinguished in the response received at R, while the response received at T is all transmitted waves. This confirms that not only do reflection and transmission occur but also multiple modes are generated via the “T-shape” transformation along with mode conversion when the incident wave encounters the stiffener. Different heights of the stiffener and the difference between the wave velocities of each mode wave lead to the different arrival times of scattered waves reaching R and T. Then, these waves overlap with each other at receivers, which explains the responses presenting different superposition shapes, as shown in
Figure 9b–f and
Figure 10b–f.
5.2. Propagation Mechanism
According to the proposed multipath propagation model and the group velocity in
Figure 1, the arrival time of each mode wave is calculated to identify the received wave packet and mode. The arrival time can be estimated using the numerical simulation (
Ts) and the theoretical calculation (
Tc). The results obtained by the two methods are compared to prove the effectiveness and consistency. The arrival times of each interested mode wave scattered from the stiffener with
fc = 150 kHz and
h = 32 mm are marked in
Figure 11. The incident L(0,1) mode, reflected L(0,1) mode, and transmitted L(0,1) mode can be easily distinguished in
Figure 11, which proves that determining the installation position of sensors based on the proposed model in
Section 2.3 is feasible.
As seen in
Figure 11a, three modes are identified: the incident L(0,1) mode, the reflected L(0,2) mode (converted from the incident L(0,1) mode, denoted as L′(0,2)/L(0,1)), and the reflected L(0,1) mode from the incident L(0,1) mode (denoted as L′(0,1)/L(0,1)). In
Figure 11b, the first group of waves is the converted L(0,2) mode, which is produced when the incident L(0,1) mode interacts with the stiffener, denoted as L(0,2)/L(0,1). Additionally, the second mode is the transmitted L(0,1) mode from the incident L(0,1) mode, denoted as L(0,1)/L(0,1).
Table 3 shows the comparison of the arrival time obtained using both the numerical simulation and the theoretical calculation. The estimated arrival times obtained by the two methods are in close agreement because of the presented less time difference. Accordingly, the mechanism about the single-frequency AE signal mainly in L(0,1) mode propagating in the cylindrical shell with the stiffener can be summarized, as shown in
Figure 12.
It can be noticed that the L(0,1) mode wave propagating to the bottom of the stiffener has a “T-shaped” transformation to result in the reflected wave (L′(0,1)/L(0,1)), the transmitted wave (L(0,1)/L(0,1)), and the wave propagating alongside the stiffener. In contrast, mode conversion appears and produces a little L(0,2) mode wave when the incident L(0,1) mode wave interacts with the stiffener. The produced L(0,2) mode wave mainly propagates in two directions, namely the reflected wave (L′(0,2)/L(0,1)) and the transmitted wave (L(0,2)/L(0,1)). These mode waves also propagate alongside the stiffener, while their energy is negligible. The wave propagating alongside the stiffener is reflected at the stiffener’s end and then goes back into the cylindrical shell where mode conversion appears again to produce the reflected waves (L″(0,1)/L(0,1) and L″(0,2)/L(0,1)) and transmitted waves (L‴(0,1)/L(0,1) and L‴(0,2)/L(0,1)) with less energy.
5.3. Reflection and Transmission Coefficients
Simulations have been performed for each case with different excitation frequencies (
fc) and different stiffener heights (
h), and the scattering coefficient in each case can be computed using Equations (3) and (5). The obtained scattering coefficients of the incident L(0,1) mode are reported in
Figure 13 for different frequencies and stiffener heights, which are calculated by the scattering coefficients presented in
Section 2.2. It can be observed that the reflection and transmission coefficients are displayed as a function of the excitation frequency and the height of the stiffener.
Figure 14 extracts the scattering coefficients calculated at different frequencies, including 110 kHz, 130 kHz, 150 kHz, and 170 kHz, to further study the underlying characteristics.
From
Figure 14, it should be noted that the reflection coefficient shows a special trend with respect to
fc and
h, while the trend of the transmission coefficient is roughly the opposite. The reflection coefficient for the incident A
0 mode reaches the maximum value of around 0.4 when h is about 5 mm, while the transmission coefficient acquires the minimum value of around 0.2 for the same h. Regarding the stiffener with larger heights, the effect of stiffeners on the coefficients decreases gradually, and both coefficients appear to be stable.
Moreover, the reflection coefficient and the transmission coefficient can be considered in three portions in terms of the rate of change versus
h, namely the sensitive part, the fluctuation part, and the stable part, as shown in
Figure 14. The corresponding regions are region I, region II, and region III. It is a noticeable phenomenon that the reflection coefficient and the transmission coefficient in region I present linear variations with the increase in
h. The difference is that the reflection coefficient increases monotonously to the maximum as
h increases, but the transmission coefficient, which monotonously reduces to the minimum value, shows the opposite in this region. With the increase in
h in region II, the reflection coefficients fluctuate and show a downward trend. Conversely, the transmission coefficient fluctuates oppositely but has a slight upward trend, and the rate of change is relatively high. This intuitively indicates that both the reflection coefficient and the transmission coefficient change with respect to
h are nonlinear. Both the reflection coefficient and the transmission coefficient remain basically unchanged in region III. It can be reasonably deduced that the reflection coefficient and transmission coefficient are not very sensitive to the height of the stiffener increasing after
h exceeds a certain value.
Additionally, for different fc, the rate of variation of the reflection coefficient and transmission coefficient versus h differs a little. If the frequency increases, critical points between the three parts shift to smaller h regions, that is, the sensitivity to the presence of h increases. Maximum values of the reflection coefficient under different fc all appear at smaller h regions (around h = 5), but minimum transmission coefficients appear at the same h. Although the critical points between region I and region II under different fc are located within a small range, it can still be observed that the h corresponding to the critical point has a slight decreasing trend as fc increases. However, the h corresponding to the critical points between region II and region III clearly reveals a decreasing trend with an increase in fc. As for fc = 100 kHz, both the reflection coefficient and the transmission coefficient present stable trends with a slight fluctuation when h > 33 mm. However, for fc = 170 kHz, the both coefficients stabilize after h exceeds about 25 mm. It can be indicated from the above that, with the increase in fc, not only the sensitivity of the signal to the variation of stiffener’s height increases but also the critical point between regions appears earlier.
Further analysis was carried out to gather statistics on the scattering coefficient in all regions for
fc = 150 kHz, as shown in
Figure 15. The top and bottom lines in
Figure 15, respectively, represent the maximum value and the minimum value of each data group. The top and bottom lines of the box are the 25th and the 75th percentile, the line inside the box indicates the median, and x indicates the mean of the data.
Figure 15 shows information about the center, extension, and distribution status of several batches of data. The transmission coefficients in each region have more obvious advantages than the reflection coefficients in statistical parameters such as the mean, median, and distribution range. The distribution of both reflection and transmission coefficients in each region shows that the transmission coefficient is more widely distributed than the reflection coefficient. This means that the transmission coefficient varies more within the same range of the stiffener height. Consequently, it can be concluded that the transmission coefficient is more sensitive to the variation in the stiffener’s height than the reflection coefficient. In addition, the reflection and transmission coefficients in region I are more widely distributed and the data are more dispersed than those in regions II and III. It can be inferred that the reflection coefficient and the transmission coefficient in region I are most sensitive to the change in
h among the three regions.
5.4. Experimental Results
Experiments on the unstiffened cylindrical shell are used as a reference signal for different
fc. Several minutes are maintained between each measurement to allow the experimental results to not be interfered by previous signals. It is noteworthy that the sensor attached at the reflection measuring point should be removed to avoid the influence of the sensor on the transmission signal when collecting the transmission waveform. The reflection waveform and the transmission waveform are received by following a similar procedure on the stiffened cylindrical shell. The experimental results are depicted in
Figure 16 and
Figure 17.
Figure 16 shows a comparison between the reflection waveforms collected from specimen 1 and specimen 2, while
Figure 17 focuses on a comparison of the transmitted waves. The results show that the incident L(0,1) mode, the reflected L(0,1) mode, and the transmitted L(0,1) mode can be successfully distinguished and recognized based on the sensor arrangement, which confirms that arranging sensors based on the proposed model in
Section 2.3 is feasible.
Figure 18 compares the experimentally calculated reflection and transmission coefficients related to the incident L(0,1) mode with the simulated reflection and transmission coefficients as well as the errors between them.
It can be seen from
Figure 18 that the experimental points are always close to the predicted points, which demonstrates that scattering coefficients curves are satisfactorily verified within the acceptable margin of errors. These results are encouraging in that the simulation characterizing the propagation of the AE signal in a cylindrical shell with a stiffener has been demonstrated.