تجاوز إلى المحتوى الرئيسي

Analytical and numerical investigation of beam-spring systems with varying sti ff ness: a comparison of consistent and lumped mass matrices considerations

Author name : HANI NAMI ALI ALAHMADI
Publication Date : 2024-08-11
Journal Name : AIMS math

Abstract

Thisstudyexaminedthevibrationbehaviorofabeamwithlinearspringattachmentsusing finite element analysis. It aims to determine the natural frequency with both consistent/coupled mass and lumped mass matrices. The natural frequencies and corresponding mode shapes were correctly determined which formed the basis of any further noise vibration and severity calculations and impact or crash analysis. In order to obtain eigenfrequencies subject to the attached spring, the characteristic equation was obtained by eigenfunctions expansion whose roots were extracted using the root-finding technique. The finite element method by coupled and lumped mass matrices was then used to determine complete mode shapes against various eigenfrequencies. The mode shapes were then analyzed subject to supports with varying sti↵ness thereby comparing the analytical and numerical results in case of consistent and lumped masses matrices so as to demonstrate how the present analysis could prove more valuable in mathematical and engineering contexts. Utilizing a consistent mass matrix significantly enhanced accuracy compared to a lumped mass matrix, thereby validating the preference for the former, even with a limited number of beam elements. The results indicated that substantial deflection occurred at the beam’s endpoints, supporting the dynamic behavior of the spring-beam system.

Keywords

beam; eigenfrequency; CM matrix; LM matrix; springs; variable sti↵ness; mode shape; FEM

Publication Link

https://www.aimspress.com/journal/Math

Block_researches_list_suggestions

Suggestions to read

Rational design of new thienopyridine heterocycles tethering thiophene moiety as antimicrobial agents: Synthesis and computational biology study
MOUSA OSMAN AHMAD GERMOUSH
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
تواصل معنا