Abstract
We consider the identification of a single open crack in a simply supported beam having nonuniform smooth profile and undergoing infinitesimal in-plane flexural vibration. The profile is assumed to be symmetric with respect to the mid-point of the beam axis. The crack is modeled by inserting a rotational linearly elastic spring at the damaged cross-section. We establish sufficient conditions for the unique identification of the crack by a suitable pair of natural frequency data, and we present a constructive algorithm for determining the damage parameters. The result is proved under a technical a priori assumption on the zeros of a suitable function determined in terms of the eigenfunctions of the problem. Extensions to beams under different sets of end conditions are also discussed. Theoretical results are confirmed by an extensive numerical investigation, both on simulated and experimental data.
1. Introduction
In this paper we continue a line of research on dynamic methods for damage detection in structures initiated by Rubio et al. (2015) and aimed at the determination of a single open crack in one-dimensional beam elements with variable profile by minimal frequency data.
A crucial point in damage identification is the modeling of the damage. Among various models that have been proposed in the literature to describe open cracks in beams, the localized flexibility model of cracks is the most common. In the case of beams under in-plane flexural vibration, the problem that we shall consider in this paper, an open crack is modeled by inserting a massless rotational elastic spring at the damaged cross-section, see, for example, Wendtland (1972), Freund and Herrmann (1976), Chondros and Dimarogonas (1980), and Gudmundson (1983). The accuracy of the localized flexibility model has been evaluated in several vibration tests carried out on steel beams either with single or multiple cracks. The results confirm that modeling errors on low natural frequencies are comparable with those of the classical Euler–Bernoulli model for a beam without defects, see, for instance, Araujo Gomes et al. (1991) and Caddemi and Caliò (2013). The localized flexibility model also provides an appreciable advantage in formulating the inverse problem. In fact, in the simplest case of a single crack, the unknown parameters correspond to the position s of the elastic hinge and to the stiffness K of the rotational spring (which may be related to the severity of the damage). This makes it reasonable to investigate to what extent the information on the crack-induced changes in a pair of natural frequencies can be useful for the identification of the damage.
A common approach to this issue consists in reformulating the inverse problem as an optimization problem. The damage parameters are estimated so that the first few natural frequencies (and, in some cases, also a set of eigenfunction amplitude values) closely match with the measured ones, see, among other contributions, the research developed by Shen and Taylor (1991), Davini et al. (1993), Vestroni and Capecchi (1996, 2000), Teughels et al. (2002), Sinha et al. (2002), and Rubio (2009). The above identification methods allow us to deal with a large class of problems, such as, for example, crack detection in elastic frames (Greco and Pau, 2012; Morassi and Rovere, 1997), but they suffer the lack of general results. Basic questions such as how many data are necessary to ensure the uniqueness of the solution are rarely discussed in the literature and are still open.
Some general results on the identification of a single open crack in a bending vibrating beam are available when the beam is uniform and the crack is small. One of the first rigorous contributions to this inverse problem is due to Narkis (1994), who proved that a single small crack in a pinned–pinned uniform beam can be uniquely localized (up to a symmetric position) by the first two natural frequencies. Later on, working on the same problem, Morassi (2001) found closed-form expressions for s and K in terms of the frequency data, and extended Narkis’s result to other suitable pairs of natural frequencies. A few years later, Dilena and Morassi (2004) proved that an appropriate use of natural frequencies and antiresonant frequencies can avoid the nonuniqueness of the damage location problem, which occurs, for example, in symmetrical beams when natural frequency data only are used. Key features of the method developed by Morassi and co-workers are, on the one hand, the explicit expression of the eigenfrequency change induced by a small crack written in terms of known quantities of the undamaged configuration and, on the other hand, the simple form taken by this expression for uniform beams under special set of boundary conditions. The methods by Narkis and Morassi are based on a perturbation analysis of the eigenvalue problem in a neighborhood of the undamaged beam, and are hardly applicable in the case of beams with variable profile.
A limited number of studies focused on crack identification in nonuniform beams by frequency data. Among these, Nandwana and Maiti (1997) considered the identification of an open and not necessarily small crack in a piecewise-uniform cantilever. The procedure by Nandwana and Maiti has been subsequently extended by Chaudhari and Maiti (2000) to cantilever beams formed by two segments, one uniform in depth, the other segment with linearly varying depth, see also Chinchalkar (2001). The identification of multiple open cracks in a piecewise-constant beam under general boundary conditions was considered by Attar (2012) by using the exact expression of the characteristic equation of the damaged beam.
When the beam has generic variable profile the characteristic equation cannot be written in closed form and, to the best of the authors’ knowledge, no general results are available on the crack detection problem, even in the case of small damage. This open problem has been the motivation for our research and the present paper is a contribution to this issue.
In order to illustrate the main findings of our work, we refer, for the sake of clarity of presentation, to a simply supported beam with variable profile. The profile is assumed to be smooth and symmetric with respect to the mid-point of the beam axis. Our analysis is based on three main steps. First, we show that the eigenvalue problem for the cracked beam can be transformed in an equivalent eigenvalue problem for a simply supported beam carrying a point mass
For the sake of completeness, we comment on the significant differences we have found in the present analysis and in the research recently developed by us in Rubio et al. (2015) on the analogous inverse problem of detecting a single open crack in a longitudinally vibrating rod with variable profile from two natural frequencies. In the present case, two kinds of additional difficulties arise. A first hindrance is connected with the study of qualitative properties of the eigenfunctions of the cracked beam, such as the number of zeros and interlacing properties between the zeros of eigenfunctions and their derivatives. This study was carried out in Rubio et al. (2015) by extending classical Sturm–Liouville techniques for the undamaged rod to a rod with a crack. Sturm–Liouville methods are not easily extendable to fourth-order operators, such as the Euler–Bernoulli operator governing the bending vibration of a cracked beam, and, therefore, we were forced to follow a different approach, mainly based on the study of the oscillatory character of the statical Green’s function of the cracked beam. A second obstruction is connected with the study of the qualitative behavior of the λ–s curves and, in particular, with the determination of their stationarity points. It can be shown that the argument used by Rubio et al. (2015) does not apply to the fourth-order case. The technique we have adopted here is different and it is essentially based on a deformation argument which allowed us to reduce the analysis to the study of the zeros of a suitable function defined on the undamaged configuration (see the proof of Theorem 4.5). It is precisely at this point that, in order to apply the deformation argument, we have introduced the Vanishing Condition (20), that is an a priori assumption on the zeros of a suitable function determined in terms of the eigenfunctions of the cracked beam. It can be shown that the hypothesis (20) is actually a property of the problem in the case of small damage (see Section 8).
The identification method has been tested on an extensive series of numerical simulations on beams having different profile and with various positions and severities of the crack. A selected set of numerical results, both on simulated and experimental data, is presented and commented on in Section 7. Numerical simulations performed even for severe levels of damage have not disproved the validity of our a priori assumption, whose general validity, however, remains an open question. Finally, extension of the above results to beams under different set of end conditions is presented in Section 6.
2. Formulation of the inverse problem and main result
Let us consider a straight thin simply supported beam with variable profile under bending vibration. We assume that the beam has a single crack at the cross-section of abscissa zd, with 0 < zd < L, where L is the length of the beam. The crack is assumed to remain open during the vibration and it is modeled as a massless rotational linearly elastic spring with stiffness
The free undamped bending vibrations of the beam with radian frequency ω and spatial amplitude
The main properties of the eigenpairs of (1)–(5) are stated in the following proposition.
Under the above assumptions:
There exists a numerable sequence of real positive eigenvalues The eigenvalues
The set of eigenfunctions The nth eigenfunction un(x) has exactly Proposition 2.1
Properties 1 and 3 follow from general results for self-adjoint compact operators in Hilbert spaces. The arguments shown, for example, in Brezis (1986) can be adapted to obtain a proof of 1 and 3. Properties 2 and 4 (which do not hold, in general, for the Euler–Bernoulli operator) follows, for example, from the oscillatory character of the statical Green’s function associated to (1)–(5), see the Appendix A.1 for details.
We shall consider hereinafter symmetric beams in (1)–(5), that is beams for which the moment of inertia and the linear mass density are even functions with respect to the mid-point of the beam axis, e.g.
In order to study the inverse problem of detecting a single crack from a pair of natural frequencies of (1)–(5), we found convenient reformulate (1)–(5) as an equivalent eigenvalue problem. The equivalence is stated in the next proposition.
Let u be a nontrivial solution of (1)–(5) associated to an eigenvalue λ. (i) Let (λ,u) be an eigenpair of (1)–(5). Then λ is an eigenvalue of the problem
(ii) Conversely, let (λ,v) be an eigenpair of (10)–(14). Then λ is an eigenvalue of the problem (1)–(5) with
Let us consider the statement (i), the proof of (ii) being similar. Using (15) in (1), dividing by ρ and differentiating twice, we obtain (10). The end conditions v(0) = v(1) = 0 and the jump conditions [[v(s)]] = [[v′(s)]] = 0 follow directly by the corresponding end and jump conditions of (1)–(5). The end conditions v′′(0) = v′′(1) = 0 and the jump condition [[(bv′′)(s)]] = 0 can be deduced by using the differential equation (1) to determine the limit values of v′′ at Problem (10)–(14) describes the free bending vibration of a beam simply supported at the ends, with bending stiffness b and linear mass density r, carrying a point mass m at x = s. Note that, by properties (6)–(7) of the coefficients a and ρ, we have
Basing on the equivalence between the eigenvalue problems (1)–(5) and (10)–(14) stated in Proposition 2.2, in the following we shall be mainly concerned with the formulation in terms of the vibration of the beam with the point mass. The functional space suitable for (10)–(14) is made by functions more regular than those occurring in (1)–(5), e.g. the jump of the first derivative v′ at x = s is not allowed, whereas u′ may be discontinuous at the crack location. This additional regularity simplifies the study of the dependence of an eigenvalue on the damage parameters s and K (or m), see Section 4.Proposition 2.2
Proof
Remark 2.3
Remark 2.4
Let
In the following we shall consider cracked beams such that, for n = 1, 2, and for every m > 0, the function
We call (20) the Vanishing Condition for It is possible to show that the Vanishing Condition (20) is in fact a property satisfied by the eigensolutions of the problem (10)–(14), provided that the mass intensity m is small enough, i.e. in the case of small crack. We refer to Section 8 for a proof.Remark 2.5
We are now in a position to state our main result. Under the above assumptions, the measurement of the first two natural frequencies of (10)–(14) allows for the unique determination of the intensity m and the location s of the point mass, up to the symmetric position 1 − s. The identification procedure is constructive.Theorem 2.6
Based on the equivalence stated in Proposition 2.2, a direct consequence of the above theorem is the following result. Under the assumptions of Theorem 2.6, the measurement of the first two natural frequencies of (1)–(5) allows for the unique determination of the severity of the damage K and the location s of the crack, up to the symmetric position 1 − s. The identification procedure is constructive.Corollary 2.7
3. Some properties of the equivalent eigenvalue problem
The next proposition states some properties of the zeros of the first and second eigenfunction of (10)–(14) which will be useful in our analysis. For reader’s convenience, details of a proof are collected in Appendix A.2. Let vn(x) be the nth eigenfunction of (10)–(14). Under the above assumptions:
v1(x) has no zeros in (0, 1) and v2(x) has exactly one simple zero in (0, 1), say at ξ1, and v2′(x) has exactly two simple zeros in (0, 1), say at η1, η2; moreover, η1 < ξ1 < η2.Proposition 3.1
Weak and variational formulation of the eigenvalue problem (10)–(14) will be used throughout the paper. Let us denote by
The weak formulation of (10)–(14) consists of finding
In the following sections we shall often compare the eigenpairs of the problem (10)–(14) for finite, nonvanishing m, and s ∈ (0, 1), to those obtained by taking either m = 0 or {s = 0,s = 1} in (10)–(14). We shall denote by
Variational and Maximum–Minimum formulations are useful to derive the following bounds, see, for example, Courant and Hilbert (1966: Vol. 1, Chapter VI, Paragraph 2).
Under the above assumptions and notation, we have
Proposition 3.2
The right inequality in (30) (upper bound of λn) shows that the addition of a mass m decreases the natural frequencies of the unperturbed beam, or, in other words, that a crack decreases natural frequencies. The left inequality in (30) (lower bound of λn) follows as in any constrained system by adding the linear constraint v(s) = 0 to the perturbed system having a point mass at s or, equivalently, by assuming that the bending moment vanishes at the crack location in equations (1)–(5).
4. Curves of λ–m and λ–s curves
In order to extract quantitative information on the identification parameters m and s from the eigenvalues, in the following proposition we shall introduce the first-order derivatives of an eigenvalue of (10)–(14) with respect to m and s. For given coefficients b and r, an eigenpair (λ,v) of (10)–(14) depends on the perturbation parameters s and m. When necessary, we shall explicitly show this dependence by writing Let Proposition 4.1
The proof of the proposition can be obtained by adapting the ideas of the proof of the analogous property for a cracked beam under axial vibration, see Proposition 4.1 in Rubio et al. (2015).
We shall now study the so-called λ–m and λ–s curves, that is the functions
We begin with the study of the dependence of Let If If If If Proposition 4.2
A proof of the proposition can be obtained following the lines of the proof of the analogous property for a cracked beam under axial vibration, see Proposition 5.1 in Rubio et al. (2015).
A simple consequence of the symmetry (18) of the coefficients b and r on the eigenpairs of the problem (10)–(14) is the following property. Let = Proposition 4.3
The above statements can be easily verified by direct calculation. We note the following simple result. Under the assumptions of Proposition 4.3, for every n ≥ 1, we have
Corollary 4.4
The identification method described in Section 5 is based on the following key result, which is presented for the first two eigenvalues of (10)–(14) only, since solely them are used to formulate and solve our inverse problem. Let λ1 = λ1(s) is a strictly decreasing function in there exists a unique Theorem 4.5
For a proof of Theorem 4.5 we shall make use of the following Deformation Lemma. Let Lemma 4.6 (Deformation Lemma)
This lemma has been introduced by Pöschel and Trubowitz (1987: p. 41). Case (i). By the expression (31) of the partial derivative of λ1 with respect to the mass position s, the sign of Proof of Theorem 4.5
Case (ii). The proof for n = 2 follows the same lines of the proof of case (i). In brief, under our assumptions, the family of functions
5. A constructive identification algorithm
In this section we prove Theorem 2.6 by presenting a constructive algorithm for the determination of the parameters {s,m} in the problem (10)–(14) (or, equivalently, the position of the crack s and its severity K in (1)–(5)) from the knowledge of the first two eigenvalues, say
We recall that the beam coefficients b and r satisfy (17) and (18). Let s ∈ (0, 1) and
By Proposition 3.2, input data
If
In the remaining of the section we shall consider the nontrivial condition
Based on the properties of the λ–m and λ–s curves stated in Section 4, it can be shown that the algorithm developed in Rubio et al. (2015) for the identification of a point mass in a longitudinally vibrating rod can be adapted to the present case. Therefore, in the following we shall simply show the main steps of the identification procedure, referring to the above-mentioned paper for details on the convergence of the method to the actual solution.
The flow chart of the identification procedure is as follows.
Let We determine the values We distinguish two main cases.
C The λ curves identification algorithm based on the first two resonant frequencies: first case.
C The λ curves identification algorithm based on the first two resonant frequencies: second case, subcase (a).
At this stage, we distinguish two additional subcases.
Case 2(a) Assume that
Case 2(b) If
The λ curves identification algorithm based on the first two resonant frequencies: second case, subcase (b).
Applications and details on a selected set of numerical simulations are reported in Section 7.
6. Extensions
In this section we show how the method presented in previous sections can be extended to cover other sets of end conditions (Section 6.1), and how it can be improved to determine a unique solution of the inverse problem from two suitable frequency data (Section 6.2). Proof of these results are based on the behavior of the λ-m and λ-s curves for the corresponding eigenvalue problems. In turn, these properties follow from qualitative results of the eigensolutions analogous to those presented in previous sections. Since most of the steps in the preceding proofs can be duplicated, in the following we shall simply state the main results useful for our analysis, leaving the details aside.
6.1. Crack identification in a free–free beam
Let us consider the cracked beam introduced at the beginning of Section 2, with coefficients a, ρ satisfying (6) and (7), and with a single open crack of severity K, K ∈ (0,∞), at the position s, s ∈ (0, 1). Assume that both ends of the beam are free. It should be noted that this set of end conditions is rather common in experimental investigations, since it avoids the introduction of uncertainty connected with boundary condition modeling, see, for example, Araujo Gomes et al. (1991) and Caddemi and Caliò (2013). The free undamped bending vibrations of the cracked beam are governed by the following eigenvalue problem (in dimensionless form)
A direct inspection of the proofs of previous results shows that Propositions 3.1 (qualitative properties of the zeros of the eigenfunctions), 4.1 (eigenvalue derivatives), and 4.2 (behavior of the λ-m curves) can be suitably extended also to cover the set of free–free end conditions.
Hereinafter, we shall assume that the coefficients b and r satisfy the symmetry conditions (18). Therefore, the statements of Proposition 4.3 and Corollary 4.4 hold for the eigenpairs of the free–free beam.
For every m, m ≥ 0, we assume that the Vanishing Condition (20) is satisfied by the eigenfunctions
The analogue of Theorem 4.5 is the following result.
Let (λn,vn), n = 1, 2, be the nth eigenpair of (54)–(58) for coefficients b,r satisfying (17) and (18). Under the above assumptions, for every m, λ1 = λ1(s) is a strictly decreasing function of s in
there exists a unique Theorem 6.1
From Theorem 6.1, it is evident that the constructive algorithm presented in Section 5 can be adapted to identify a single point mass in a free–free beam. More precisely: the knowledge of the first and second eigenvalue allows to uniquely determine the intensity m and the position s of the point mass, up to a symmetric position with respect to the mid-point of the beam. We refer to Section 7.3 for an application to experimental data.
6.2. Unique crack identification by two natural frequencies belonging to different spectra
Let us denote by
By adapting the methods illustrated in preceding sections, under the symmetry assumption (18) for b and r, and accepting a Vanishing Condition analogous to (20), we can prove the following result.
For given m, 0 < m < ∞, the first eigenvalue of (60)–(64) is a strictly increasing function of s, with Theorem 6.2
The main consequence of Theorem 6.2 is the following improvement of the identification result found in Section 5, namely: the knowledge of the first eigenvalue of the clamped–clamped beam and of the first eigenvalue of the free–clamped beam is enough for the unique determination of the mass location and intensity. Note that the symmetric solution is now avoided. The proof of this result can be obtained by adapting the reconstruction procedure illustrated in Section 5, see also Rubio et al. (2015: Section 7) for an analogous identification problem in a free–free longitudinally vibrating rod by one resonant frequency and one antiresonant frequency.
7. Applications
7.1. Numerical approximation
The practical application of the damage identification method requires the development of a specific numerical code. For the sake of simplicity and with the aim of illustrating the main aspects of the procedure, in the present section and in the next one reference is made to damage identification in a symmetric simply supported beam from the first two natural frequencies (see Section 5).
To find a finite element model of the weak formulation (22) of the eigenvalue problem (10)–(14), we work on the standard finite-dimensional subspace
The numerical code of the reconstruction algorithm follows the steps shown in Section 5. In particular, a search strategy divided into two steps and having different size of the incremental mass step value Δm has been implemented during the construction of the λ–s curves corresponding to increasing values of the point mass intensity. For the first iterations, we have used
The reconstruction algorithm has been implemented on a computer with an Intel(R) Core (TM) i3 2.53 GHz processor and 4 GB of RAM. The whole procedure was built in Matlab environment.
7.2. Results of numerical simulations
The identification algorithm has been tested on a large class of beam profiles having different intensity and position of the point mass. A selected, but representative, series of results is presented in the following for beams with (normalized) bending stiffness a(x) and linear mass density ρ(x) given by
Identification of the mass intensity m and position s in a simply supported nonuniform beam with the sinusoidal profile given in (66), by the first two natural frequencies. Percentage errors:
Identification of the mass intensity m and position s in a simply supported nonuniform beam with the parabolic profile given in (67), by the first two natural frequencies. Percentage errors:
It can be seen that the agreement between identified and actual values of the damage parameters is good. Generally speaking, some discrepancy emerged for cracks located near the end of the beam, which is known to be a point of vanishing sensitivity to damage for the natural frequencies of a simply supported beam. Moreover, errors are larger in the case of small cracks (e.g. small values of m) and they decrease as m increase. The typical computing time for each identification ranges from 30–100 s to 300–2200 s in the case of m = 0.01 and m = 0.50, respectively, suggesting that the computation burden is larger in case of more severe levels of damage.
7.3. Applications to experimental data
With the aim of evaluating the stability of the method to errors on the data, an experimental application on a real cracked steel beam is presented in this section.
The mechanical model is a double T free–free steel beam of the series HE 100 B. The length is L = 4 m. The beam was suspended by means of two steel ropes so to simulate free–free boundary conditions. The damage was obtained by saw cutting the beam at progressive depth at the cross-section of abscissa zd = 0.7 m far from the left end, see Figure 4. Two damage configurations, denoted as D1 and D2 in the following, were realized. The width of each cut was equal to about 1.5 × 10−3 m and, because of the small level of the excitation, during dynamic test the crack can be considered always open.
Experimental model and damage configurations. Lengths are in millimeters.
In order to measure the lower resonant frequencies of the beam, a modal analysis procedure based on impulsive excitation and measurement of the frequency response function (inertance) of the beam was adopted. Details of experiments can be found in Biscontin et al. (1998) and Caddemi and Caliò (2013). In brief, the transverse excitation was introduced at one end by means of an impulse force hammer, while the transverse response was measured by a piezoelectric accelerometer fixed at the same end of the beam. Vibration signals were acquired by a dynamic analyzer and then processed in the frequency domain to measure the relevant frequency response term. Natural frequencies were estimated by means of the classical single mode technique.
Experimental test: first two (positive) natural frequencies
Identification results based on experimental data: actual values (s, m) versus estimated values (
8. A proof of the Vanishing Condition for small m
In this section we show that the Vanishing Condition (20) is actually satisfied by the eigenfunctions of the problem (10)–(14) for small mass intensity m, that is, if m is small enough, then the function
Let (λn,vn) be the nth eigenpair of (10)–(14), for positive functions b, r satisfying the regularity conditions (17) and the symmetry conditions (18). Let M > 0 be a finite given number and consider a point mass m, m ∈ [0, M], located at the position s ∈ [0, 1]. We find it convenient to rewrite the function
Let us start by noting that, by definition, the function
We shall present a proof in three steps.
Step 1. The functions Step 2. The zeros of Step 3. The zeros of
In order to simplify the notation, hereinafter we omit the index m in denoting the functions In the following we restrict our attention to the open interval (0, 1). Here V(1) does not vanish in (0, 1). Then, if z ∈ (0, 1) is such that Let us assume n = 2.Proof of Step 1
Proof of Step 2
We first show that the set of zeros of V(
n
) coincides with the set of zeros of
Let z be a zero of Let n = 1, 2. We start by proving that if all of the zeros of Proof of Step 3
To simplify the notation, let us write
As in Step 2, we consider the beam in (10)–(14) subject to a concentrated bending time-harmonic couple It should be noted that the result presented in this section holds only asymptotically, that is when m is small enough or, equivalently, when the crack is sufficiently small. It would be useful to state the result from a quantitative point of view, namely by finding a value of the mass intensity in terms of the given data, say m*, such that the Vanishing Condition (20) holds for Remark 8.1
9. Conclusions
This paper has been devoted to the inverse problem of identifying a single crack in a bending vibrating beam by minimal natural frequency data. The crack is assumed to remain open during vibration and it is modeled by a massless rotational linearly elastic spring located at the damaged cross-section.
We have established sufficient conditions for the unique identification of the crack location and severity in terms of a suitable pair of natural frequencies. The result is proved for a beam with symmetric smooth varying profile and has been derived without any assumption on the smallness of the crack severity. The methodology used for the proof leads to a constructive damage identification algorithm, and it is based on a careful analysis of the eigenvalues as functions of the damage position and damage intensity. Numerical results are in agreement with the theory when exact analytical data are employed in identification. Application to experimental data shows that the results of identification are rather sensitive to modeling errors.
Our result is proved under a technical a priori assumption, namely the Vanishing Condition (20), on the zeros of a function determined in terms of the eigenfunctions associated to the natural frequencies used as data. It should be noted the Vanishing Condition (20) is actually a property of the eigenpairs of a simply supported beam with variable profile when the crack is small. In addition, by means of a different approach, we have recently shown in Fernández-Sáez et al. (2016) that the Vanishing Condition can be omitted when the simply supported beam is uniform, without introducing any restriction on the damage severity. Whether the Vanishing Condition may or may not be definitively removed from the analysis of the inverse problem remains an open question, at the moment.
The method proposed in this paper may be used, in principle, also to deal with more general diagnostic problems for frame structures. Among possible applications, we mention the identification of a single crack in multi-span beams (see also Vestroni and Capecchi, 2000) or frames (see Caddemi and Caliò, 2013; Greco and Pau, 2012; Pau et al., 2011), and the determination of multiple cracks (see Caddemi and Caliò, 2014; Zheng and Fan, 2001). However, it should be noted that some of the mathematical tools we have adopted in the treatment of the bending vibration of a single beam with a single crack have no straightforward generalization to those cases, and a preliminary analysis suggests that new ideas are needed to deal with these diagnostic problems.
Footnotes
Acknowledgements
A. Morassi wishes to thank the colleagues of the University Carlos III of Madrid, especially Professors L. Rubio and J. Fernández-Sáez, for their warm hospitality at the Department of Engineering Mechanics.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The work of A. Morassi is partially supported by the University Carlos III of Madrid-Banco de Santander Chairs of Excellence Programme for the 2013–2014 Academic Year.
