| Strike a bell, and the bell rings at its resonance modes. Strike it harder and the bell rings at the same tone, only louder. Now imagine a small crack in the bell, perhaps invisible to the eye. We strike the bell gently and it rings normally. Striking it harder we find, to our surprise, that the tone drops in frequency ever so slightly. Striking it even harder, the tone drops farther down in frequency. The frequency shift is a manifestation ofnonlinearity due to the presence of the crack. Figure 1 illustrates how the bell responds elastically linearly when undamaged, but elastically nonlinearly when damaged. |
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| We take this example a step further in Figure 2 for the sake of illustrating additional manifestations of nonlinearity. For instance, we input 440 and 8000 cycles per second (Hz) into the undamaged bell using an audio speaker (these are arbitrarily chosen frequencies and are not crucial to the general result). Not suprisingly, the bell will ring at the two input frequencies (Figure 2a). If we input the two tones into the bell when a small crack is present, interesting things happen again. We find that, not only does the bell ring at 440 and 8000 Hz, but other frequencies abound, as illustrated in Figure 2b. We also detect two times, three times and four times each input frequency (880, 1320, and 1740 Hz; and 16000, 24000, and 32000 Hz, respectively). In addition, we detect the sum and difference frequencies between the 440 and 8000 Hz: 8000+/-440 Hz (These frequencies are called sidebands.). The resonance peak change with amplitude noted in |
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| In our studies we have found that the nonlinear response of a sample provides a quick, qualitative test of pass/fail (go/no go) in numerous metal components such as alternator housings, engine bearing caps, various gears, Plexiglas, synthetic slates, weapons components, etc., where damage is localized; however, the elastic nonlinear response is also useful in examining the physical state of volumetrically damaged materials, such as concrete, rock core and other porous materials (including the effects of fluid saturation) and is being applied to characterize dislocations in metals, and to study progressive damage in these materials. Some of the materials that we have tested are shown in Figure 3. |
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| In volumetrically damaged materials, micro-features such as dislocations are responsible for the nonlinear behavior. It is very interesting that volumetric and local damage over several orders of magnitude in scale (~10-9 - 10-1), provide very similar nonlinear characteristics (e.g., Guyer and Johnson, 1999)! That is, there are close similarities between the nonlinear response from the presence of dislocations in a sample and a single macrocrack in a sample. The similarities are currently under intense scrutiny in order to determine why this is so. Figure 4 illustrates the type of features, large and small, that lead to a large nonlinear wave response under wave excitation. Dislocations, soft grain contacts in rock and concrete, microcracks and macrocracks can all lead to a large and complex nonlinear wave response. |
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| As a practical example we show wave mixing experiments in undamaged and damaged automobile engine bearing caps used to discern whether or not damage is present. In these tests, one high frequency wave and several low frequency waves were used simultaneously as input. Thus we would expect mixing of all waves with each other, leading to the creation of many harmonics and sidebands when damage is present. Figure 5a and 5b show the frequency wave spectrum of the undamaged and damaged samples, respectively, only around the sideband frequencies. The damaged sample is one of those shown in Figure 4. It contains a crack several mm deep and a cm long, approximately. The sample in Figure 5b clearly failed the go/no go test. We call this technique Nonlinear Wave Modulation Spectroscopy (NWMS), a subset of NEWS. Note that we observed no change in linear wavespeed or wave dissipation between the two samples, despite the fact that the nonlinear response is very different. (Due to space limitations, we cannot illustrate a NRUS experiment here, but one can refer to the references below for such examples.). |
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| NEWS is ideal for monitoring progressive damage in materials as well. Figure 6 illustrates such a test (courtesy of Peter Nagy). It is clear from the figure that nonlinear means are far superior to linear means in progressive damage detection. |
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