Abstract
The threedimensional Theory of Elasticity equations lead to a complex solution for most problems in engineering. Therefore, the solutions are typically developed for reduced systems, usually symmetrical or twodimensional. In this context, computational resources allow the reduction of these simplifications. The most recognized methods of algebraic approximation of the differential equations are the Finite Differences Method and the Finite Element Method (FEM). However, they have limitations in mesh generation and/or adaptation. As follows, Meshless Methods appear as an alternative to these options. The present work uses the Radial Point Interpolation Method (RPIM) to evaluate the stress in twodimensional beams in regions close to loading (Saint Venant's Principle). Formulations based on the Fourier Series Theory and the RPIM are presented. Multiquadrics Radial Basis Functions were used to obtain the stiffness matrix. Two numerical examples demonstrate the validity of the RPIM for the proposed theme. The results were obtained from the formulations cited and the Finite Element Method for comparison.
Keywords:
twodimensional beams; SaintVenant's principle; Radial Point Interpolation Method; stress analysis
1. Introduction
The analytical solution to most problems of the Theory of Elasticity is difficult due to the complexity of the equations. Therefore, the resolutions are typically designed for reduced systems, usually symmetrical or twodimensional (Saad, 2005SAAD, M. H. Elasticity: theory, applications and numerics. Elsevier, Inc, 2005. 474p.).
In this way, the computational analysis has considerable relevance in the solution of these problems. The most known methods of numerical analysis are the Finite Differences Method and the Finite Element Method (FEM), the latter being the most used. However, it includes limitations, mainly in mesh generation and adaptation. In this manner, Meshless Methods appear as a significant alternative to these options (Liu, 2010LIU, G.R. Meshfree methods: moving beyond the finite element method. CRC Press, 2010. 773p.).
In the previous two decades, Meshless Methods have been used in several engineering areas. Silva (2012)SILVA, R. P. Análise nãolinear de estruturas de concreto por meio do método Element Free Galerkin. Orientador: Roque Luiz da Silva Pitangueira. 2012. 128f. Tese (Doutorado em Engenharia de Estruturas)  Escola de Engenharia, Universidade Federal de Minas Gerais, Belo Horizonte, 2012. explored the application of the Element Free Galerkin (EFG) Method in physically nonlinear static structures of reinforced concrete. Asprone et al. (2014)ASPRONE, D.; AURICCHIO, F.; MONTANINO, A.; REALI, A. Modified finite particle method: multidimensional elastostatics and dynamics. International Journal for Numerical Methods in Engineering, v. 99, p. 125, 2014. investigate the Modified Finite Particle Method (MFPM) and propose modifications to it in the static and dynamic problems, both in the elastic range. Hu et al. (2014)HU, D.; WANG, Y.; LI, Y.; HAN, X.; GU, Y. A meshfreebased local Galerkin method with condensation of degree of freedom for elastic dynamic analysis. Acta Mechanica Sinica, v. 30, p. 9299, 2014. developed a technique to condense the degrees of freedom to increase the computational efficiency of the meshless methods in dynamic linear elastic analysis. The equations of the Plane Theory of Elasticity can be applied to two cases of practical interest: plane stress and strain of thin plates under forces applied to their boundaries and acting in their planes. An important fact to be observed in the structure is the effect of loading in regions close to the point of application.
This effect is called the SaintVenant's Principle. It enunciates that two statically equivalent force systems acting over a small portion Ps of the surface of a body produce (approximately) the same stress and displacement at a point sufficiently far from Ps in the body where the force systems act.
Relevant researches have been published about SaintVenant's Theory. Genoese et al. (2014)GENOESE, A.; GENOESE, A.; BILOTTA, A.; GARCEA, G. A geometrically exact beam model with nonuniform warping coherently derived from the Saint Venant rod. International Journal of Engineering Structures, v. 68, p. 3346, 2014. examined a geometrically nonlinear model for homogeneous and isotropic beams including nonuniform warping due to torsion and shear derived from the SaintVenant's rod. Genoese et al. (2013)GENOESE, A.; GENOESE, A.; BILOTTA, A.; GARCEA, G. A mixed beam model with nonuniform warpings derived from the Saint Venant rod. International Journal of Composite Structures, v. 121, p. 8798, 2013. also presented an alternative linear model for thinwalled section beams, whose formulation is based on the HellingerReissner Principle. Zhao et al. (2012)ZHAO, L.; CHEN, W. Q.; LÜ, C. F. New assessment on the SaintVenant solutions for functionally graded beams. International Journal of Mechanics Research Communications, v. 43, p. 16, 2012. proposed an approach to investigate the SaintVenant's problem in graded beams with Young's Modulus varying exponentially in the axial direction and constant Poisson Ratio. Fatmi and Ghazouani (2011)FATMI, R. E.; GHAZOUANI, N. Higher order composite beam theory built on SaintVenant's solution. PartI: Theoretical developments. International Journal of Composite Structures, v. 93, p. 557566, 2011. suggested a higherorder composite beam theory, which can be viewed as an extension of the SaintVenant's Theory. Petrolo and Casciaro (2004)PETROLO, A. S.; CASCIARO, R. 3D beam element based on Saint Venant's rod theory. Computers and Structures, v. 82, p. 24712481, 2004. investigated the use of the SaintVenant's general rod theory for deriving the stiffness matrix in threedimensional beam elements with a general crosssection.
The proposed research aims to demonstrate the SaintVenant Principle for twodimensional beams using the Radial Point Interpolation Method (RPIM). The formulations for RPIM and the analytical solution provided by the Fourier Series are presented. Two examples are demonstrated to validate the RPIM. The results are compared with the analytical solution and numerical solution of the Finite Element Method utilizing the SAP2000^{(c)} software.
2. Twodimensional beams in rectangular coordinates
2.1 Solution based on fourier series theory
The biharmonic equation for the stress functions in twodimensional problems is given by:
where f'=f'(x,y) is the Airy Stress Function. A general solution may be found by Separation of Variables with Fourier Series (Saad, 2005SAAD, M. H. Elasticity: theory, applications and numerics. Elsevier, Inc, 2005. 474p.). In cartesian coordinates:
In Eq. (2), X(x)=e ^{a} ^{x} and Y(y)=e ^{b} ^{y} . Replacing in Eq. (1):
The term in parentheses must be zero, leading to the following characteristic equation:
The general solution includes zero root and general roots. In the case of zero root with b=0, there are 3 additional roots (Eq. 6). For the case with a=0, the solution is given by Eq. (7):
The Eqs. (6) and (7) satisfy the Eq. (1). Therefore:
where Ci, Ai, and A'i are arbitrary constants determined by boundary conditions. The complete solution is given by the superposition of Eqs. (6), (7) and (8). Substituting exponentials for equivalent trigonometric and hyperbolic forms:
The stresses can then be obtained from differential relations:
The applications of the Fourier solution method usually incorporate the Fourier series theory (Saad, 2005SAAD, M. H. Elasticity: theory, applications and numerics. Elsevier, Inc, 2005. 474p.). A periodic function f(x) with period 2L can be represented on the interval (L,L) by the Fourier trigonometric series:
These expressions can be simplified in some cases. If f(x) is an even function, f(x)=f(x) and Eq. (13) reduces to the Fourier cosine series (Eqs. 16 and 17). If f(x) is an odd function, f(x)=f(x) and Eq. (13) reduces to the Fourier sine series (Eqs. 18 and 19):
2.2 Solution based on Radial Point Interpolation Method (RPIM)
The use of polynomials to create basis functions is advantageous for two reasons: simplicity and good numerical precision. Besides, shape functions of any order can be reproduced by increasing the number of interpolation points (field nodes). Among these advantages, the RPIM method of obtaining form functions avoids the occurrence of singularities in the moment matrix (Liu and Gu, 2005LIU, G.R.; GU, Y.T. An introduction to Meshfree methods and their programming. Springer, 2005. 496p.). The displacement approximation u^{h} at a point of interest x^{T}={x,y} is given by (Liu, 2010LIU, G.R. Meshfree methods: moving beyond the finite element method. CRC Press, 2010. 773p.):
where R_{i} is the Radial Basis Function (RBF), a is a vector of unknown constants and n is the number of nodes in a support domain. The distance r between points x and x_{i} is obtained by:
The vector of Radial Basis Functions R has the following form:
Table 1 presents the four most often used forms of radial functions R_{i} (x). The parameters can be tuned for better performance.
Misra and Kumar (2013)MISRA, R. K.; KUMAR, S. Multiquadric radial basis function method for boundary value and free vibration problems. Indian Journal of Industrial and Applied Mathematics, v. 4, p. 14, 2013. point out that Multiquadrics radial basis functions (MQRBF) present advantages, such as easy implementation for structural analysis and reasonable results for a small number of field nodes. Besides, its implementation is highly suitable, and no connectivity is required for arbitrarily distributed nodes. The main idea in the MQ method is to create a coefficient matrix with a significant number of zero elements for reducing the computational costs (Fallah et al., 2019FALLAH, A.; JABBARI, E.; BABAEE, R. Development of the Kansa method for solving seepage problems using a new algorithm for the shape parameter optimization. Computers and Mathematics with Applications, v. 77, p. 815829, 2019.). Thus, MQRBF was used in the present study. In Table 1, a_{c} is the dimensionless shape parameter, d_{c} is the characteristic length (usually the average nodal spacing for all the n nodes in the support domain) and q is an exponent parameter.
The interpolation at the point k has the form:
In matrix form, these n equations can be written as:
In the Eq. (25), d_{s} is the vector within the field nodal variables at the n local nodes and R_{Q} is the moment matrix of Radial Basis Functions:
Since the distance has no direction, then:
which indicates symmetry of the matrix R_{Q} .A unique solution for a is then obtained by:
where Φ(x) is the vector of shape functions:
and f_{k} is the shape function for the nodek:
In the Eq. (33), S^{a} _{ik} is the (i,k) element of the constant matrix R^{1} _{Q} in the support domain. The equilibrium equation for the problem can be put in matrix form as:
In the Eqs. (33) and (34), u is the displacements of field nodes, F is the global vector of forces, F^{b} is the global body force vector at the domain Ω, F^{t} is the global traction force vector at boundary domain G, b is the body force vector and t is the external traction force vector.
The global stiffness matrix K is defined as:
where K_{IJ} is the nodal stiffness matrix, B the strain matrix and D the matrix of elastic constants.
Liu and Gu (2005)LIU, G.R.; GU, Y.T. An introduction to Meshfree methods and their programming. Springer, 2005. 496p. demonstrate that the interpolation quality changes with the exponent q. However, the RPIMMQ fails because of the singularity of the moment matrix for q=1.0, 2.0 and 3.0. According to the authors, the preferred value of parameter q is close to 1.0 or 2.0 (0.98, 1.03 or 1.99 being recommended). The same authors observed that the a_{c} shape parameter has less influence than q(a_{c}≥1.0 is recommended). Besides this, the average fitting errors of function values over the entire domain decreases when the number of interpolation points in the entire domain (N) increases.
The RPIM code was written in FORTRAN language and divided into modules to make the management of the main program easier.
3. Examples
In the present study,SAP2000^{(c)} was used to obtain the solution by the Finite Element Method. Shell elements were used, and the number of elementsin each example was chosen so that their nodes matched the positions of the RPIM field nodes. The other data were the same as described in the examples.
3.1 Example 1: Beam under equidistant forces P
The first example shows a beam subjected to two equal forces of P=1.2N (Fig. 1a) distant b from the middle section ss (TIMOSHENKO and GOODIER, 1980TIMOSHENKO, S.; GOODIER, J.N. Teoria da elasticidade. 3. ed. Rio de Janeiro: Guanabara Dois, 1980. 545p.). The beam has a height H=1.2m (c=0.6m), length L=4.8m (l=2.4m) and base B=1m. The YoungModulus is 200GPa and Poisson's ratio 0.3. The number of field nodes is 891 to represent the domain (Fig. 1b) and 800 background cells for integrations with 2 Gauss points in each one. The parameters for the radial shape functions are a_{c}=1.0, d_{c}=2.0 and q=1.03.
The analytical solution was obtained by Fourier Series Theory. Fig. 2a presents good agreement between the present study and the analytical result in the ss crosssection. More significant variations can be observed in y=±1.2m. The stress at centroid (y=0.6m) is the same for all curves. In Fig. 2b, it can be seen that the shear stress at the ends obtained using FEM is closer to the analytical response. However, the region between y=0.2m and y=1.0m is better described by RPIM, with asmall difference about Timoshenko and Goodier (1980)TIMOSHENKO, S.; GOODIER, J.N. Teoria da elasticidade. 3. ed. Rio de Janeiro: Guanabara Dois, 1980. 545p..The shear stress curve for the RPIM (Fig. 2c) shows consistency compared with Timoshenko (1980). The FEM demonstrates a small variation between y=0.36m to y=0.72m.Fig. 2d shows that the numerical responses differ from the analytical response for shear stress.
Numerical and analytical shear stress for Example 1: (a) b/c=1/10; (b) b/c=1/5; (c) b/c=1/2; (d) b/c=∞.
3.2 Example 2: Cantilevered beam under axial and transverse load
The second example refers to a cantilevered beam under forces N=1.8N and P=1.2N (Fig. 3a). This example is proposed by Saad (2005, p.192)SAAD, M. H. Elasticity: theory, applications and numerics. Elsevier, Inc, 2005. 474p.. The Airy Stress Function presented as an analytical solution of the problem (formulated in terms of the resulting force system) is given as:
For the beam, 275 field nodes were used to represent the domain (Fig. 3b) and 240 background cells for integrations, with 4 Gauss points in each one. The parameters for the radial shape functions are a_{c}=1.0, d_{c}=2.0, q=1.03. The beam has length L=4.8m, height H=1.2m (c=0.6m) and base B=1m. The Young Modulus is 200GPa and Poisson's ratio 0.3.
Cantilevered beam under axial and transverse load: (a) geometry; (b) model discretized in field nodes.
The stress functions in the plane for the problem are obtained by the differential relationships given in Eqs. (10) to (12):
Fig. 4 indicates the stresses. In x=4.6m (close to loading) both methods present great normal stresses at y=0.6m (centroid), since N and P were applied to the axis of the beam in the subsequent section (x=4.8m). The Airy Stress Function presents linear distribution as it does not consider the SaintVenant Principle. When x increases (Figs. 4b and 4c), the normal stress gradually shows proportionality with section height according to Eq. (40). In x=4.2m, RPIM and FEM are close to the analytical response, with RPIM showing small divergence at y=0.6m (~3Pa) and subsequent stress reduction (~2.4Pa). For both numerical results with the analytical response.
Numerical and analytical results for example 2: (a) normal stress at x=4.6m; (b) normal stress at x=4.2m; (c) normal stress at x=2.4m; (d) shear stress for all sections.
Fig. 4d shows the shear stresses. According to Equation (42), the results obtained from Airy Stress Function are independent of x in the section. The results obtained numerically consider the SaintVenant Principle, and the curves gradually approximate the result of Saad (2005)SAAD, M. H. Elasticity: theory, applications and numerics. Elsevier, Inc, 2005. 474p. when the section positionx decreases. It should be noted that the RPIM presents better convergence than the FEM in this case for the analytical response (see curves x=4.6m and x=4.2m).
4. Conclusions
This study presented the Radial Point Interpolation Method (RPIM) to evaluate the stress in twodimensional beams. Formulations based on the Fourier Series Theory and the RPIM were presented. The MQ Radial Basis Functions were used. The numerical results using SAP2000 were also presented. The stress results for the RPIM end FEM were taken at the nodes and not at the Gauss points, which may have caused the difference in the analytical result. RPIM shape parameters are frequently difficult to determine, so they should be adjusted for each problem. Compared to FEM, the solution using RPIM provides satisfactory results for twodimensional beams. However, a more precise understanding of shape parameters is required. The authors recommend performing a similar study considering the values 0.98 and 1.99 for exponent q, varying the a_{c} shape parameter and testing different values of N (field nodes). Besides, the authors recommend evaluating the influence of the number of elements (FEM) and the number of field nodes (RPIM) in the results.
Acknowledgments
The authors are grateful to the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), the Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG) and the Liga Acadêmica de Estruturas (LAE) of the Pontifícia Universidade Católica de Minas Gerais.
References
 ASPRONE, D.; AURICCHIO, F.; MONTANINO, A.; REALI, A. Modified finite particle method: multidimensional elastostatics and dynamics. International Journal for Numerical Methods in Engineering, v. 99, p. 125, 2014.
 BORESI, A.P.; CHONG, K.; LEE, J. D. Elasticity in engineering mechanics John Wiley &Sons, 2011. 656p.
 FALLAH, A.; JABBARI, E.; BABAEE, R. Development of the Kansa method for solving seepage problems using a new algorithm for the shape parameter optimization. Computers and Mathematics with Applications, v. 77, p. 815829, 2019.
 FATMI, R. E.; GHAZOUANI, N. Higher order composite beam theory built on SaintVenant's solution. PartI: Theoretical developments. International Journal of Composite Structures, v. 93, p. 557566, 2011.
 GENOESE, A.; GENOESE, A.; BILOTTA, A.; GARCEA, G. A geometrically exact beam model with nonuniform warping coherently derived from the Saint Venant rod. International Journal of Engineering Structures, v. 68, p. 3346, 2014.
 GENOESE, A.; GENOESE, A.; BILOTTA, A.; GARCEA, G. A mixed beam model with nonuniform warpings derived from the Saint Venant rod. International Journal of Composite Structures, v. 121, p. 8798, 2013.
 HU, D.; WANG, Y.; LI, Y.; HAN, X.; GU, Y. A meshfreebased local Galerkin method with condensation of degree of freedom for elastic dynamic analysis. Acta Mechanica Sinica, v. 30, p. 9299, 2014.
 LIU, G.R.; GU, Y.T. An introduction to Meshfree methods and their programming Springer, 2005. 496p.
 LIU, G.R. Meshfree methods: moving beyond the finite element method. CRC Press, 2010. 773p.
 PETROLO, A. S.; CASCIARO, R. 3D beam element based on Saint Venant's rod theory. Computers and Structures, v. 82, p. 24712481, 2004.
 MISRA, R. K.; KUMAR, S. Multiquadric radial basis function method for boundary value and free vibration problems. Indian Journal of Industrial and Applied Mathematics, v. 4, p. 14, 2013.
 SAAD, M. H. Elasticity: theory, applications and numerics. Elsevier, Inc, 2005. 474p.
 SILVA, R. P. Análise nãolinear de estruturas de concreto por meio do método Element Free Galerkin Orientador: Roque Luiz da Silva Pitangueira. 2012. 128f. Tese (Doutorado em Engenharia de Estruturas)  Escola de Engenharia, Universidade Federal de Minas Gerais, Belo Horizonte, 2012.
 TIMOSHENKO, S.; GOODIER, J.N. Teoria da elasticidade 3. ed. Rio de Janeiro: Guanabara Dois, 1980. 545p.
 ZHAO, L.; CHEN, W. Q.; LÜ, C. F. New assessment on the SaintVenant solutions for functionally graded beams. International Journal of Mechanics Research Communications, v. 43, p. 16, 2012.
Publication Dates

Publication in this collection
20 Dec 2019 
Date of issue
JanMar 2020
History

Received
28 Dec 2018 
Accepted
13 Aug 2019