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Evaluation of the P-Δ (P-Delta) effect in columns and frames using the two-cycle method based on the solution of the beam-column differential equation.
Burgos, Rodrigo Bird; Silva, Lucas Encarnação.
Afiliación
  • Burgos RB; Department of Structures and Foundations, Rio de Janeiro State University, R. São Francisco Xavier, 524, Maracanã, Rio de Janeiro, Brazil.
  • Silva LE; Civil Engineering Post Graduate Program, Rio de Janeiro State University, R. São Francisco Xavier, Maracanã 524, Rio de Janeiro, Brazil.
MethodsX ; 11: 102248, 2023 Dec.
Article en En | MEDLINE | ID: mdl-38098779
ABSTRACT
P-Delta is a nonlinear phenomenon that results from the consideration of axial loads acting on the deformed configuration of a member of the structure, usually a beam-column. This effect is especially significant in slender members, which can undergo large transversal displacements which tend to increase the bending moment caused by an axial load P acting upon them. The P-delta effect can be computed through a geometrically nonlinear analysis, usually employing the Finite Element Method, which subdivides each bar of the frame in finite segments known as elements. Since discretization (subdivision) and the use of iterative schemes (like Newton-Raphson) are sometimes undesirable, especially for students, avoiding it can be didactically interesting. This work proposes the use of a new approach to perform a simplified nonlinear analysis using the two-cycle method and a tangent stiffness matrix obtained directly from the homogeneous solution of the problem's (beam-column) differential equation. The proposed approach is compared to the results obtained by the traditional two-cycle method which uses geometric and elastic stiffness matrices based on cubic (Hermitian) polynomials and a P-Delta approximation using the pseudo (fictitious) lateral load method.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MethodsX Año: 2023 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MethodsX Año: 2023 Tipo del documento: Article País de afiliación: Brasil