The Green’s functions differential transform element method: A new semi-analytical approach for the analysis of framed structures

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Juan Camilo Molina-Villegas , Carlos Alberto Vega-Posada
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引用次数: 0

Abstract

This paper presents the Green’s Functions Differential Transform Element Method (GFDTEM), a novel semi-analytical technique for analyzing linearly elastic framed structures subjected to arbitrary loads. As a powerful mesh reduction strategy, the GFDTEM uniquely integrates fundamental principles from the Finite Element Method (FEM), the Differential Transform Method (DTM), and the Green’s Functions Stiffness Method (GFSM). This synergistic combination yields a highly efficient and accurate modeling approach for complex structural systems. The method discretizes the structure into elements connected at nodes, following the FEM scheme, and characterizes each element by means of stiffness matrices, shape functions, and fixed-end forces. Within each element, the local response is systematically approximated by high-order polynomials derived via the DTM, while the challenging treatment of arbitrary loads is elegantly accomplished analytically using Green’s functions, a hallmark of its semi-analytical power. A defining feature of the GFDTEM is that its formulation relies solely on the solution of the homogeneous form of the governing differential equations -namely, the shape functions and stiffness matrix coefficients- leading to a compact, general and streamlined representation. Its versatility, efficiency and FEM-based formulation allows the GFDTEM to be seamlessly embedded within incremental-iterative linearisation schemes, granting considerable potential for extension to geometrically and materially nonlinear problems. The effectiveness and accuracy afforded by the GFDTEM are validated with illustrative examples for axially non-uniform rods, Euler-Bernoulli beams and frames.
格林函数微分变换元法:框架结构分析的一种新的半解析方法
本文提出了格林函数微分变换元法(GFDTEM),这是一种用于分析受任意载荷作用的线弹性框架结构的新颖半解析方法。作为一种强大的网格缩减策略,GFDTEM独特地集成了有限元法(FEM)、微分变换法(DTM)和格林函数刚度法(GFSM)的基本原理。这种协同组合为复杂结构系统提供了一种高效、准确的建模方法。该方法采用有限元方法,将结构离散为节点连接的单元,并通过刚度矩阵、形状函数和固端力对每个单元进行表征。在每个单元中,局部响应通过DTM导出的高阶多项式系统地逼近,而任意载荷的挑战性处理则使用格林函数优雅地完成解析,这是其半解析能力的标志。GFDTEM的一个定义特征是,它的公式完全依赖于控制微分方程的齐次形式的解,即形状函数和刚度矩阵系数,从而导致紧凑,一般和流线型的表示。GFDTEM的通用性、高效性和基于有限元的公式使其能够无缝嵌入增量迭代线性化方案中,为几何和材料非线性问题的扩展提供了巨大的潜力。通过对轴向非均匀杆、欧拉-伯努利梁和框架的算例验证了该方法的有效性和准确性。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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