Longitudinal vibration analysis of non-uniform rods of any shapes based on differential transforms
More details
Hide details
1
College of Science and Engineering, American University of Armenia, 40 Marshal Baghramyan Ave., Yerevan, 0019, Yerevan, Republic of Armenia
2
Research Laboratory of Automation and Electromagnetic Systems, National Polytechnic University of Armenia, 105 Teryan, 0009, Yerevan, Republic of Armenia
Corresponding author
Armine Gevorg Avetisyan
Research Laboratory of Automation and Electromagnetic Systems, National Polytechnic University of Armenia, 105 Teryan, Yerevan, 0009, Yerevan
Adv. Sci. Technol. Res. J. 2026; 20(5)
KEYWORDS
TOPICS
ABSTRACT
A differential transforms based computational method is developed for the free longitudinal vibration analysis of non-uniform rods with smoothly varying cross-sections. The objective is to obtain a numerically stable formulation that accommodates changes in the cross-sectional profile without problem-specific re-derivation. Assuming the area variation is described by a differentiable function A(x), the governing variable-coefficient eigenvalue problem is mapped into the transform domain and expressed through recurrence relations, from which a characteristic polynomial in the frequency parameter is constructed to determine the natural frequencies. The required geometric input is provided solely through the differential spectrum of A(x). The method is validated against a broad set of benchmark problems from the literature, including polynomial, trigonometric, and exponential cross-sectional variations, and reproduces reference eigenfrequencies with agreement up to at least five significant digits, while requiring significantly fewer degrees of freedom than finite element discretizations for comparable accuracy. In addition, the formulation resolves previously reported inconsistencies and yields physically consistent fundamental modes across the examined boundary configurations. The approach is further demonstrated on composite cross-sectional variations beyond standard benchmark profiles.