A novel model order reduction scheme for fast and accurate material nonlinear analyses of large-scale engineering structures. (15th August 2019)

• Record Type: Journal Article
• Authors: Li, Wenxiong; Ma, Haitao
• Is Part Of: Engineering structures. Volume 193(2019)
• Page Start: 238
• Page End: 257
• Publication Date: 2019-08-15
• Subjects: Model order reduction -- Nonlinear Deviation Force Vector (NDFV) -- Finite element analysis -- Nonlinear structural analysis -- Material nonlinearity; Structural engineering -- Periodicals; Structural analysis (Engineering) -- Periodicals; Construction, Technique de la -- Périodiques; Génie parasismique -- Périodiques; Pression du vent -- Périodiques; Earthquake engineering; Structural engineering; Wind-pressure; Periodicals; 624.105
• DOI: 10.1016/j.engstruct.2019.04.036
• Languages: English
• ISSNs: 0141-0296

Abstract

Highlights: A new framework is developed for efficient material nonlinear analyses of large-scale engineering structures. The Nonlinear Deviation Force Vector (NDFV) is defined and used for expressing nodal displacements of the structure. The scheme is applicable to both static and dynamic problems. The higher solution efficiency is achieved with no loss of accuracy. Abstract: A new framework is developed for the fast and accurate analysis of large-scale engineering structures considering material nonlinearity. A fundamental linear model is constructed first by assigning nominal linear material parameters for each of the potentially nonlinear elements, and then, for each nonlinear element, a Nonlinear Deviation Force Vector (NDFV) is defined as the difference between the true nonlinear nodal force vector and the vector calculated using the nominal linear material parameters. In this way, the displacement of the nonlinear model can be expressed as a linear combination of a set of basis solutions of the fundamental linear model. These basis solutions include nodal displacement solutions due to the applied load and all unit components of NDFVs of nonlinear elements. Therefore, the values of these NDFVs, as combination coefficients in the displacement expression are the only unknowns for the whole structure and can be determined by considering a much smaller nonlinear equation system. It is noteworthy that no approximation is introduced in the proposed model order reduction scheme and the new scheme can be applied to the iterative solution process of both static and dynamic problems. Numerical examples are presented to show the effectiveness of the proposed scheme.