ReducedOrder Modeling, Testing, and Control of Nonlinear Mechanical and Structural Systems
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Nonlinear Resonance Analysis of Slender Portal Frames under Base Excitation
Abstract
The dynamic nonlinear response and stability of slender structures in the main resonance regions are a topic of importance in structural analysis. In complex problems, the determination of the response in the frequency domain indirectly obtained through analyses in time domain can lead to huge computational effort in large systems. In nonlinear cases, the response in the frequency domain becomes even more cumbersome because of the possibility of multiple solutions for certain forcing frequencies. Those solutions can be stable and unstable, in particular saddlenode bifurcation at the turning points along the resonance curves. In this work, an incremental technique for direct calculation of the nonlinear response in frequency domain of plane frames subjected to base excitation is proposed. The transformation of equations of motion to the frequency domain is made through the harmonic balance method in conjunction with the Galerkin method. The resulting system of nonlinear equations in terms of the modal amplitudes and forcing frequency is solved by the NewtonRaphson method together with an arclength procedure to obtain the nonlinear resonance curves. Suitable examples are presented, and the influence of the frame geometric parameters and base motion on the nonlinear resonance curves is investigated.
1. Introduction
Lightweight framed structures are extensively used in engineering applications such as buildings, industrial constructions, offshore platforms, and aerospace structures. In civil engineering, framed metal structures such as gabled frames are efficient structural forms to withstand various loads such as live, snow, wind, earthquake, and crane loads. Linear models are usually used for the design of these structures. However, as its slenderness increases, the degree of geometric nonlinearity increases as well as the occurrence of instability phenomena. Under dynamic loads, slender frames may be subjected to unwanted (or unsafe) large vibration amplitudes and accelerations and dynamic jumps in the main resonance regions due to hardening or softening frequencyamplitude relation and modal couplings. Therefore, an accurate nonlinear dynamic analysis is required. Recent earthquakes have increased the interest in the development of reliable analytical methods of assessing the dynamic response of existing structures and, if necessary, developing effective retrofit strategies. So, understanding the nonlinear dynamics of framed structures under base excitation constitutes an essential step for their safe design.
The seminal works by Koiter [1] and Roorda [2] have shown the complex postbucking paths exhibited by slender frames; subsequently, several authors have studied the nonlinear behavior of reticulated structures liable to buckling under prescribed loading conditions. A compilation of these first results can be found in Bazant and Cedolin [3] who summarize many topics about the stability of slender frames. Design prescriptions are found, for example, in Galambos [4]. More recently, Silvestre and Camotim [5] presented a semianalytical method to analyze the geometrically nonlinear behavior of plane frames, including the influence of eventual buckling mode interaction phenomena. Later, they presented the results concerning the elastic inplane stability and secondorder behavior of unbraced singlebay pitchedroof steel frames and proposed a methodology to design this type of commonly used structure. In particular, they showed that, due to the rafter slope, the geometrically nonlinear behaviors of orthogonal beamandcolumn and pitchedroof frames are qualitatively different [6]. The dynamics of such frames will be investigated in this work. More recently, Galvão et al. [7] assessed the effect of geometric imperfections and boundary conditions on the postbuckling response and imperfectionsensitivity of Lframes.
The dynamic response of slender frames in the main resonance regions is an important topic in the analysis of these structures under time varying loads. Several nonlinear phenomena have been studied in the last decades. Simitses [8] studied the effect of static preloading and suddenly applied loads on the nonlinear vibrations and instabilities of slender structures. Chan and Ho [9] conducted the nonlinear vibration analysis of steel frames with flexible connections. Mazzilli and Brasil [10] presented an analytical study of the nonlinear vibrations in a threetime redundant portal frame, considering the effect of axial forces upon the natural frequencies. The axial forces play an important role in tuning the sway mode and the first symmetrical mode into a 1 : 2 internal resonance. Harmonic support excitations resonant with the first symmetrical mode are then introduced and the amplitudes of nonlinear steady states are computed based upon a multiple scales solution. Later, Soares and Mazzilli [11] described the implementation of a computer program to calculate nonlinear normal modes of structural systems and generate individual modes of planar framed structures exhibiting geometrically nonlinear behavior. The procedure follows the invariant manifold approach, adapted to handle equations of motion of systems discretized by finite element techniques. Chan and Chui [12] examined, based on their previous works, the nonlinear static and cyclic behavior of steel frames with semirigid connections. McEwan et al. [13] proposed a method for modeling the large deflection beam response involving multiple vibration modes, while Ribeiro [14] analyzed the geometrically nonlinear vibrations of beams and plane frames by the hierarchical finite element method and examined the suitability of the proposed formulation for time domain nonlinear analyses. Da Silva et al. [15] studied the nonlinear dynamics of a lowrise portal frame using the ANSYS finite element software. The results show the influence of semirigid joints and geometrical nonlinearity on the steel frames dynamics. More recently, Galvão et al. [16] investigated the effect of semirigid connections on the nonlinear vibrations of slender frames and obtained the nonlinear relation between the natural frequencies and static preloading. Su and Cesnik [17] introduced a strainbased geometrically nonlinear beam formulation for structural and aeroelastic modeling and analysis of slender wings of very flexible aircraft. Solutions of different beam configurations under static loads and forced dynamic excitations are compared against ones from other geometrically nonlinear beam formulations. Gonçalves et al. [18] published an experimental analysis of the nonlinear vibrations of a slender metal column under selfweight. Masoodi and Moghaddam [19] studied the nonlinear dynamics and natural frequencies of gabled frames having flexible restraints and connections. To control unwanted nonlinear phenomena and vibrations of frames, several control techniques are proposed in literature. For example, Palacios Felix et al. [20] examined the nonlinear control method based on the saturation phenomenon. The interaction of a nonideal source with a portal frame leads to the occurrence of interesting nonlinear phenomena during the passage through resonance when the nonideal excitation frequency is near the portal frame natural frequency and when the nonideal system frequency is approximately twice the controller frequency (twotoone internal resonance). They also suggest the use of the portal frame for energy harvesting.
The determination of a structure’s response in the frequency domain, characterized by the resonance curves and bifurcation diagrams, is, in some cases, indirectly obtained through a series of analyses in time domain, varying step by step a selected control parameter (see Parker and Chua [21]). In this brute force approach, for each control parameter value, the equations of motion must be integrated long enough to reach the steadystate regime. This leads to a huge computational effort when analyzing structures with a large number of degrees of freedom [16]. In nonlinear cases, the response in the frequency domain becomes even more cumbersome because of the possibility of multiple solutions for certain forcing frequencies. Those solutions can be stable and unstable, and bifurcations can appear, in particular saddlenode bifurcation at the turning points along the resonance curves. To predict the nonlinear response in frequency domain, some methods are used, such as the harmonic balance method (HBM) and other integral transformations. Based on the HBM, Nakhla and Valch [22] proposed a method for the solution of nonlinear periodic networks, avoiding the time domain solution of the dynamic equations. Lau et al. [23] formulated an incremental variational process based on the HBM to study the nonlinear vibrations of elastic systems. Further, Cheung and Chen [24] used the formulation of the incremental harmonic balance method (IHB) to solve a system of differential equations with cubic nonlinearity, which governs a wide range of engineering problems such as largeamplitude vibration of beams or plates. An incremental arclength method combined with a cubic extrapolation technique is adopted to trace the response curves. Chen et al. [25] generalized this technique to use the incremental HBM in a finite element context, being able to use the HBM in the study of systems with several degrees of freedom. Due to its simple formulation and relatively easy implementation, the HBM is one of the most popular methods to study the nonlinear vibrations of structures [26]. The algebraic system of nonlinear equations, which results from the HBM, requires a numerical procedure to obtain the solutions. Frequently, Newton’s method is adopted to solve the nonlinear system. However, in many cases, the resonance curves exhibit limit points and, in such cases, the use of continuation methods is necessary. For example, Ribeiro and Petyt [27] studied the free and steadystate forced vibrations of thin plates. Symbolic computation is employed in the derivation of the model and the equations of motion are solved by the Newton and continuation methods. Von Groll and Ewins [28] described a numerical algorithm based on the harmonic balance method to study rotor/stator interaction dynamics under periodic excitation. The algorithm also calculates turning points and follows solution branches via arclength continuation. More recently, Ferreira and Serpa [29] described the application of the arclength method to solve a system of nonlinear equations obtaining as a result the nonlinear frequency response. In a recent work, Londoño et al. [30] used continuation methods in frequency domain to obtain the backbone curves of several nonlinear systems, while Renson et al. [31] presented numerical methodologies for the computation of nonlinear normal modes in mechanical system.
Stoykov and Ribeiro [32, 33] investigated the geometrically nonlinear free vibrations of beams using a version finite element method. The variation of the amplitude of vibration with the frequency of vibration is determined and presented in the form of backbone curves. Coupling between modes is investigated, internal resonances are found, and the ensuing multimodal oscillations are described. Formica et al. [34] present a computational framework to perform parameter continuation of periodic solutions of nonlinear, distributedparameter systems represented by partial differential equations with timedependent coefficients and excitations. As a case study, they consider a nonlinear beam subject to a harmonic excitation.
An important design concern is the dynamics of slender frames subjected to seismic loads. In such cases, the response of the structure in frequency domain is important, since the vulnerability of structure during an earthquake is related to the relation between the natural vibration frequencies of the structure and the frequency content of the seismic load, as studied in Paullo Muñoz et al. [35] who assess the frequency domain response of slender frames under seismic excitation. In seismic events, the ground acceleration magnitude is a crucial parameter, since the effect of the excitation on the structure is directly related to acceleration magnitude. Most recorded events have a magnitude lower than . However, peak acceleration greater than has been registered. For example, an acceleration magnitude of was registered for the Los Angeles earthquake, and a peak acceleration of was registered for the 2011 Tohoku earthquake [36]. Douglas [37] presented a review of equations for the estimation of peak ground acceleration using strongmotion records, while Katsanos et al. [38] reviewed alternative selection procedures for incorporating strong ground motion records within the framework of seismic design of structures. There are many other research areas where the influence of base acceleration on structural components is important, including subsurface explosions, rotating machinery, and launching vehicles.
In this work, an incremental technique for the direct calculation of the nonlinear dynamic response in frequency domain of nonlinear plane frames discretized by the finite element method and subjected to a base excitation is proposed. The transformation of discretized equations of motion, in the finite element context, to the frequency domain is accomplished here through the classical harmonic balance method (HBM). For the nonlinear analysis, a particular adaptation of the HBMGalerkin methodology presented by Cheung and Chen [24] and generalized for the use in FEM context by Chen et al. [25] is proposed here. The resulting system of nonlinear equations in terms of the modal amplitudes and forcing frequency is solved by the NewtonRaphson method together with an arclength procedure to obtain the nonlinear resonance curves. Examples of commonly used frame geometries are presented and the influence of vertical and horizontal base motions on the frame nonlinear response as a function of the frame geometric parameters is analyzed.
2. Formulation
2.1. Equations of Motion
For a structural system under the action of harmonic forcing with a prescribed forcing frequency , the nonlinear equations of motion can be written aswhere , , and are the mass matrix, damping matrix, and the vector of nonlinear elastic forces, respectively, with being dependent on the nodal displacement vector and on the geometric nonlinear formulation; is the vector of external applied loads at the nodal points, which gives the amount of forces at each DOF, and and are, respectively, the magnitude and frequency of the harmonic excitation.
2.2. Harmonic Balance Method (HBM) for Linear Analysis
The HBM is one of the most popular methods for the nonlinear analysis of dynamical systems. In this method, the displacement field is approximated by a finite Fourier series of the formwhere and are the modal amplitude vectors corresponding to the th harmonic and is the number of terms considered in the approximation. For the linear damped case, it is only necessary to retain the second term in (2). Thus, the nodal displacement vector takes the form
Introducing (3) into (1) results in
Taking and , where is the linear stiffness matrix, and applying the HBM to equation (4), the following system is obtained:
Equation (5) can be expressed in a more compact form aswhere
As a result of the transformation of the system of equations to the frequency domain and the use of continuation techniques together with an arclength constraint, the forcing frequency and the modal amplitude vector are the unknowns in (7) [29, 39, 40]. Even in the linear case, the transformation of (1) to the frequency domain leads to a nonlinear system of algebraic equations, with the use of nonlinear techniques such as the NewtonRaphson method being necessary.
2.3. HBMGalerkin Methodology for Nonlinear Analysis
For the nonlinear analysis, considering that the steadystate response is periodic, it is convenient to use a periodic nondimensional time variable defined as
Substituting (8) into (1), the equation of motion can be rewritten as and each component of the displacement vector can be approximated by
For a damped system with quadratic nonlinearity, at least the first two terms of the Fourier series must be considered [39]:
For a damped system with only cubic nonlinearity, it is necessary to consider at least the following terms [39]:
Plane frames exhibit quadratic and cubic nonlinearities.
DefinewithConsider the following relation:where is total number of degrees of freedom. Introducing (15) into (9), the following matrix equation is obtained:
Considering that the solution is periodic, multiplying both sides of (17) by and integrating the resulting expression over a period, one obtains [40]
In a compact form, (18) can be expressed aswhere
Equation (19) is a nonlinear system of algebraic equations, in which the unknowns are the forcing frequency and the modal amplitude vector . The internal force vector in frequency domain is obtained from the transformation of . In this context, an explicit expression for is necessary. The next step is the solution of the nonlinear system of algebraic equations.
2.4. Solution of the Nonlinear System of Equations
The transformation of the equations of motion from time to frequency domain results in a nonlinear system of algebraic equations both for the linear and nonlinear cases, as shown by (6) and (19), with the unknown variables being the forcing frequency and the modal amplitudes. In this section, the technique to solve the nonlinear system of equations must consider the possibility of frequency and amplitude limit points. In this context, (6) can be defined in a general form as
Through an incremental analysis, the dynamic equilibrium in the th step is given by
The unknown variables in the th step are obtained by the incremental analysis as
Introducing (22) into (21) results in
The frequency and amplitude increments and can be calculated iteratively aswhere and are the correctors which can be obtained through the first variation of (24) asor, in a more compact form, as
To solve (27), an additional constraint equation is necessary. In this work, a spherical arclength constraint is used [41, 42]:
From (24), (25), (27), and (28), it is possible to obtain the iterative frequency corrector aswhere
The signal of the first frequency corrector, also called frequency predictor, can be obtained using the positive work criterion as
For linear systems, and can be defined by the following expressions:
Analogously, for the nonlinear case, and can be obtained from the following relations:
2.5. Geometric Nonlinear Consideration
An explicit expression for is necessary. Considering an incremental analysis, the nodal displacement vector can be expressed asAnalogously, the internal forces vector can be calculated as
can be derived once the kinematic relations and constitutive law are defined. These relations depend on the adopted nonlinear strain measure formulation [7, 16]. In this paper, only the geometric nonlinearity is considered. In this context, the internal force increment vector can be approximated aswhere is the linear elastic stiffness matrix and is the nonlinear stiffness matrix. Considering a linearized formulation, the nonlinear stiffness matrix for an EulerBernoulli beamcolumn plane element in a local system of reference can be defined as [7, 16]where is the average internal axial force and and are the internal bending moments in the initial and the end nodes, respectively. For a prismatic beancolumn element, the internal forces can be expressed as a function of the axial and transversal displacements, respectively, and , aswhere is Young’s modulus, is the crosssectional area, and is the moment of inertia. The displacement fields can be expressed by interpolation of nodal displacement components aswhere is the shape function used for the finite element discretization. Analogous to (15), the increment of the nodal displacement vector can by calculated as
Solving (15), (35), (36), and (40), the nodal internal force vector at the th increment can be obtained as
Finally, the nodal internal force vector in frequency domain defined in (20) can be calculated aswhere
In linear case, , and the resultant nonlinear system of equations defined by (19) is the same as the system obtained through the classical HBM (see (5)).
2.6. Equivalent Rotation Matrix
In order to assemble the global system of equations, the matrices , , , and must be defined in global coordinates. The matrices , , and are the same for any reference system, since they are constant. On the other hand, , defined by (37), is formulated in a local reference frame. Thus, its rotation to the global reference system is necessary. It is defined in global reference frame bywhere is a rotation matrix. The rotation matrix for a plane beamcolumn element can be found in [15]. In terms of the computational implementation, it is not convenient to rotate the stiffness matrix before frequency domain transformation, since the elements of have large expression which depend on nodal displacement, even in the local reference frame. So, it is convenient to rotate after the transformation of the equations to the frequency domain, using an equivalent rotation matrix. In this case, it takes the form where is the equivalent rotation matrix, which satisfies the following condition:Taking into account the blockdiagonal characteristic of and since is an orthogonal matrix, it is possible to find an explicit expression for as a function of through the following expression: where is the number of degrees of freedom and is a submatrix given bywhere is an identity matrix of order three.
3. Numerical Examples
3.1. Linear Analysis Validation
As a first example, a simple tower model with a concentrated mass at the top and an elastic rotational support at the base is studied to validate the linear formulation. The finite element model is composed of 10 beamcolumn EulerBernoulli elements. The geometrical and material properties are shown in Figure 1. The tower is under the action of a horizontal harmonic base displacement.
Figure 2 shows the variation of the maximum displacement at the top of the tower as a function of the forcing frequency (resonance curve) for a forcing magnitude , where is the acceleration of gravity, considering two values of the elastic support stiffness . The results obtained with the present formulation and continuation scheme agree with the results obtained from a time domain analysis. This shows the coherence of the result obtained with the proposed method.
3.2. Nonlinear Analysis Validation
As a second example, a simple massspring system with cubic nonlinearity under harmonic excitation is studied to validate the nonlinear formulation. The schematic representation of the system and relevant properties are shown in Figure 3. In this example, damping is not considered.
Figure 4 shows the nonlinear resonance curves obtained through the present HBMGalerkin methodology and time domain simulations for positive (hardening) and negative (softening) cubic nonlinearity ( = ±10 N/m^{3}. The results obtained with the present HBMGalerkin scheme and with time domain simulations are very close, validating the nonlinear formulation. It can be also observed that the algorithm is able to bypass the limit point associated with the saddlenode bifurcation. As expected, the time domain analysis is not able to trace the unstable branches of resonance curves.
3.3. Frequency Domain Analysis of Slender Frames
3.3.1. PitchedRoof Frame
A pitchedroof frame fixed at the base and with a constant cross section is studied to assess the behavior of this type of commonly used structure under horizontal and vertical base excitation. The geometry and material properties of the frame are shown in Figure 5, as well as the configuration of the first four natural vibration modes, with the first and third modes being antisymmetric and the second and fourth modes being symmetric. The influence of the roof height on the response is also investigated. Table 1 shows the first four natural frequencies for the three values of considered in the numerical analysis. The vibration frequencies decrease with , as the frame slenderness increases. The structure is modeled with twenty beancolumn elements: 8 elements of the same size for the columns and 12 elements for the roof.

Figure 6 shows the variation of the norm of the horizontal and vertical components of the displacement at top of the frame, and , respectively, as a function of the forcing frequency, , considering both linear (blue) and nonlinear (red) FE formulations for three values of the height of the roof pitches ( = 0 m, 3 m, and 6 m) and considering a horizontal excitation magnitude: . The horizontal base motion excites the first and the third modes only, which correspond to predominantly lateral deformation modes. The nonlinear effect is present in the first resonance region, where a hardening behavior is observed. The first peak and, consequently, the nonlinearity increase with increasing roof height, with the nonlinear maximum vibration amplitude being slightly lower than the linear one. After the first peak, the nonlinear and linear responses are practically coincident. The vertical displacement is smaller than the vertical component and is overestimated in a linear analysis. Figure 7 displays the response for a vertical excitation magnitude: . The vertical base motion excites the second and fourth modes; these modes correspond to symmetric vibration modes with predominantly vertical motion. For vertical base excitation, the resonance peak of the vertical motion decreases when the roof height increases and the effect of nonlinearity is negligible. In this case, due to the symmetry of the displacement field, the lateral motion of the top node is zero.
Figure 8 shows the norm of the horizontal and vertical displacement as a function of the forcing frequency for the frame excited in both the horizontal and vertical directions. This is a typical excitation in seismic analysis where both components are usually present. Following the suggestion of some seismic code [43], the intensity of the vertical base motion is adopted as 0.67 times the intensity of the horizontal base motion (). In this case, all vibration modes are excited. The influence of geometric nonlinearity is evident in the two first resonance regions, where a hardening behavior, leading to possible dynamic jumps, is observed. As the roof height increases, the magnitude of corresponding to the first resonant peak increases, while the magnitude of second peak decreases. On the other hand, the magnitude of vertical displacement is reduced in the two first resonance regions with the increase of the roof height. These nonlinear resonance curves exhibit amplitude and frequency limit points. This indicates the existence of fold (saddlenode) bifurcations, which can only be mapped by the use of continuation techniques. The solutions between the two limit points are unstable.
3.3.2. ArchedRoof Frame
Now, an archedroof frame fixed at the base and with a constant cross section is studied to assess the behavior of this typical structural form under horizontal and vertical base excitation. The structure has the same span, column height, and cross section as the pitched roof, as well as the same material properties, as shown in Figure 9, to enable comparisons of the results. An incomplete circular arch with height is considered. Figure 9 also shows the configuration of the first four vibration modes. Table 2 shows the first four natural frequencies for three values of the arch height, . As in the previous example, the first and third modes are antisymmetric, while the second and fourth modes are symmetric.

Figures 10 and 11 show the variation of the norm of the vertical and horizontal displacements at top of the arch as a function of the forcing frequency for horizontal and vertical harmonic excitation, respectively, and considering both linear (blue) and nonlinear (red) formulations. For the horizontal base excitation, the first and the third modes are excited and the nonlinear effect is only noticed in the first peak leading to a hardening behavior and decrease of the maximum lateral displacement. As in the previous example, the first peak increases with the increase of the roof height. For vertical base excitation, only the second and fourth modes are excited and the nonlinear effect is slightly noted in the first peak only, where a softening behavior is observed. In this case, the first peak amplitude decreases when the roof height increases. Comparing the results of the pitched roof and arched roof for = 3 m, one can observe that the arched roof is more flexible, leading to higher vibration amplitudes.
Figure 12 shows the variation of the maximum horizontal () and vertical displacements () at the top of arch, considering both horizontal and vertical base excitations with and . In this case, all vibration modes are excited. The influence of the geometric nonlinearity is evident in the two first resonance regions, where a hardening behavior leading to possible dynamic jumps is observed. As the roof height increases, the magnitude of corresponding to the first resonant peak increases, while the magnitude of second peak decreases. The magnitude of vertical displacement decreases in the two first resonance regions with the increase of the roof height.
3.3.3. PitchedRoof Frame with a Long Span
Now, the pitched roof is again analyzed considering a span length m, increasing thus the frame’s slenderness. The other properties of the system are the same as those shown in Figure 5. Table 3 shows the first four natural frequencies for the three values of the roof height. Compared with the results in Table 1, a strong decrease in the natural frequencies is observed.

Figure 13 shows the resonance curves of the horizontal () and vertical () displacement at the top of the frame considering vertical and horizontal harmonic base excitation acting simultaneously with amplitude of the horizontal acceleration of and vertical acceleration of . The nonlinear effects are visible in the two first resonance regions, similar to the frame with m. However, the two first natural frequencies are close, especially for m, leading to modal interaction between the two first modes and a large excitation region, where largeamplitude vibrations occur. Compared with the results in Figure 6, for m, a marked increase in the lateral and vertical displacements is observed. The vertical displacements are particularly large around the second vibration frequency.
3.3.4. Strong Base Motion
Now, the effect of strong base motion on the nonlinear dynamics of the pitchedroof frame (Section 3.3.1), archedroof (Section 3.3.2) frame, and pitchedroof frame with long span (Section 3.3.3) is assessed. For this, a parametric study considering the variation of the ground acceleration magnitude is presented. A maximum acceleration peak of for a single direction excitation and of for horizontal and vertical excitations acting simultaneously is adopted.
Figure 14 shows the variation of the maximum horizontal displacement at top of the pitchedroof frame (Figure 5) as a function of the forcing frequency for increasing base excitation magnitude. A sharp increase in the vibration amplitude and the hardening nonlinearity of the response in the first resonance region is observed. For strong base motions, the effect of the nonlinearity in the vicinity of the third vibration frequency begins to appear, being also of the hardening type. The second mode is not excited.
Figure 15 shows the frame response due to vertical harmonic acceleration, considering and . The effect of the geometric nonlinearity is observed in the resonance regions associated with the second and fourth vibration modes, exhibiting softening behavior. The softening behavior is due to quadratic nonlinearities and is connected with the interaction between axial and transversal beam displacements. In such cases, the linear analysis underestimates the maximum vibration response. The softening effect due to negative quadratic nonlinearity can be observed in other slender structures under compressive loads like shallow arches and arises from the interaction between inplane compressive forces and bending [25].
Figure 16 shows the horizontal and vertical components of vibration as function of forcing frequency at top of pitchedroof frame ( m and m), considering harmonic horizontal and vertical base excitations acting simultaneously and considering and two values of the acceleration amplitude: and . The nonlinear effect is present in all resonance regions for the two displacement components. A strong difference between the linear and nonlinear responses is particularly observed in the first resonance region.
Finally, Figure 17 shows the horizontal and vertical displacement components at top of pitchedroof frame as a function of forcing frequency for the frame with m and m, considering harmonic horizontal and vertical base excitations acting simultaneously with , for two values of : and . Again, the strong base motion leads to a highly nonlinear response.
In all cases analyzed here, the resonance curves for the linear and nonlinear cases were easily obtained by the proposed numerical methodology, which can be easily applied to any structural system discretized by the FEM.
4. Conclusions
In this work, an incremental technique for the direct calculation of the nonlinear resonance curves of plane frames discretized by the finite element method and subjected to a base excitation is proposed. The transformation of discretized equations of motion, in the finite element method context, to the frequency domain is accomplished here through the classical harmonic balance method together with the Galerkin method. The resulting system of nonlinear equations in terms of the modal amplitudes and forcing frequency is solved by the NewtonRaphson method together with an arclength procedure to obtain the nonlinear resonance curves. The formulation of the proposed method is validated comparing the present results with time domain simulations showing coherence and precision. The algorithm is able to map regions with coexisting stable and unstable solutions. A pitchedroof frame and an archedroof frame under horizontal and vertical base excitation with varying roof height and spans are studied to illustrate the influence of the nonlinearity on the four first resonance regions. Horizontal base motion excites only the odd modes, while vertical base motion excites only the even modes. Under simultaneous vertical and horizontal excitation, all modes are excited. The roof height has a strong influence on the resonant peaks and degree of nonlinearity. The results also show the influence of increasing base excitation on the nonlinear behavior. Depending on the excitation magnitude, hardening or softening behavior can be observed. The proposed method is shown to be a useful method for the analysis of slender frame structures in frequency domain, since it is able to obtain the resonance curves with precision and small computational effort. This can be used as a preliminary design tool for frames under seismic and other types of base excitation, leading to a safer design.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
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