Details

Autor(en) / Beteiligte

• Jia, You
• Li, Ruikai
• Fan, Yanhong
• Huang, Haijie

Titel

A Novel Inverse Time–Frequency Domain Approach to Identify Random Forces

Ist Teil von

• Mathematics (Basel), 2022-07, Vol.10 (13), p.2331

Ort / Verlag

Basel: MDPI AG

Erscheinungsjahr

2022

Link zum Volltext

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• In order to ensure the reliability and safety of complex engineering structures and allow their redesign and evaluation, the estimation of dynamic loads applied on them is vital. In this paper, a novel time–frequency domain approach is proposed to identify random forces based on the weighted regularization algorithm. Firstly, the Newmark’s algorithm was applied to obtain structural dynamic responses, then a weighed regularization algorithm was used to identify the random forces exerted on the engineering structure. The weighting matrix was used to control the identified error of the random forces. A spatial frame model was built to illustrate the practicality of the proposed approach. The experimental results demonstrated that the proposed method is more effective than other methods for random forces identification.