Work

Identification method of distributed flow-induced loads on pipeline based on Chebyshev orthogonal polynomials and variational mode decomposition

Year: 2026

Type: article

Abstract: The frequency-domain load identification method is effective in investigating an approach to the excitation characteristics of flow-induced loads with harmonic and broadband components on a fluid-conveying pipeline. However, the current frequency-domain load identification methods commonly encounter spurious peaks at the natural frequencies, making it difficult to obtain accurate distributed flow-induced loads. Hence, a highly accurate identification method of distributed flow-induced loads on a pipeline is established in this study based on Chebyshev orthogonal polynomials and variational modal decomposition technology. The flow-induced loads are characterized as a linear superposition of generalized Chebyshev orthogonal polynomials, and then the distributed load identification problem is recast as solving for the coefficients of Chebyshev polynomials, which can be obtained through the measured vibration response at a small number of measurement points. The spurious peaks in coefficients of Chebyshev polynomials are eliminated easily by variational modal decomposition technology, allowing for the accurate distributed flow-induced loads. A numerical example demonstrates that the proposed method can accurately identify distributed loads with both harmonic and broadband components. The effectiveness of the proposed method is validated experimentally by applying it to identify the flow-induced loads of a real pump-pipeline system. This experiment is the first attempt to obtain the distributed flow-induced loads with harmonic and broadband components of a pump-pipeline system.

Source: Engineering Structures

DOI: 10.1016/j.engstruct.2026.122488

Authors: Jinchuan Bai, Lin Zhang, Tao Zhang, Lejia Chen, Haihua Deng, Haotian Chen

Institution: Huazhong University of Science and Technology

Language: English

Topic: Vibration and Dynamic Analysis

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $4,620