2019
DOI: 10.1007/s00707-019-02492-x
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Numerical analysis of natural frequency and stress intensity factor in Euler–Bernoulli cracked beam

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Cited by 8 publications
(6 citation statements)
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“…This technique, which was already applied over cracked beams [16][17][18], is implemented by dividing a cracked element into three parts including two sub-elements and a rotational spring. The finite element method is used to obtain the enriched stiffness matrix from the strain energy of the three parts.…”
Section: Conversion Techniquementioning
confidence: 99%
See 2 more Smart Citations
“…This technique, which was already applied over cracked beams [16][17][18], is implemented by dividing a cracked element into three parts including two sub-elements and a rotational spring. The finite element method is used to obtain the enriched stiffness matrix from the strain energy of the three parts.…”
Section: Conversion Techniquementioning
confidence: 99%
“…[13][14][15]. Alijani et al [16][17][18] presented a novel technique in the finite element method to include cracks into a beam element. They enriched components of the stiffness matrices by using crack properties modeled as a rotational spring.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…and C L , C R and C Spring can be found in [25]. Table 2 shows the material properties of the metal-ceramic FGM beam used as a case study in mechanical and thermal post-buckling analysis, in which length, height, and width are considered as L = 2 m, h = 0.1 m and b = 0.1 m, respectively.…”
Section: Lagrange Multiplier Techniquementioning
confidence: 99%
“…The LM technique is originally implemented for the mechanical and thermal post-buckling analysis. Moreover, The CM technique which has been already introduced to involve the crack in the beam, see [25], is briefly reviewed. The main difference between the two techniques is highlighted where the geometrical nonlinearity and material inhomogeneity should be considered in the analysis.…”
Section: Introductionmentioning
confidence: 99%