Hongda Xu , Xufang Zhang , Zhonghan Sun , Shengzhe Sun
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引用次数: 0
Abstract
This study introduces a Gegenbauer-polynomial-based semi-analytical approach (GP-SAA) for dynamic modeling of series-parallel pipe (SPP) systems under elastic boundary conditions. By leveraging the Timoshenko beam theory, energy formulations for straight and curved pipes, single and dual clamps, and pipe joints are derived. The Virtual Spring Technology (VST), which effectively models the dynamic coupling effects arising from pipe-pipe, clamp-pipe, and pipe-connector interactions, is employed to establish elastic boundary conditions. To ensure the numerical accuracy and computational efficiency of the GP-SAA framework, a systematic convergence analysis of key parameters is performed. A prototype of the SPP system and its finite element (FE) model are independently developed to benchmark the proposed methodology via the experimental modal analysis. Convergence studies based on multiple realizations of the polynomial parameter are conducted to identify a proper truncation term for the GP-SAA. Furthermore, parametric investigations into critical factors such as pipe geometry, clamp positions, and connector locations are performed to investigate their combined effects on natural frequency characteristics of the SPP system. Numerical results demonstrate the effectiveness and potential applicability of the GP-SAA for dynamic modeling of SPP systems in general.
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.