A Comparative Study of Regularization Method in Structure Load Identification. (15th October 2018)
- Record Type:
- Journal Article
- Title:
- A Comparative Study of Regularization Method in Structure Load Identification. (15th October 2018)
- Main Title:
- A Comparative Study of Regularization Method in Structure Load Identification
- Authors:
- Miao, Bingrong
Zhou, Feng
Jiang, Chuanying
Chen, Xiangyu
Yang, Shuwang - Other Names:
- Cunha Alvaro Academic Editor.
- Abstract:
- Abstract : This study aims to correlate the vibration data with quantitative indicators of structural health by comparing and validating the feasibility of identifying unknown excitation forces using output vibration responses. First, numerical analysis was performed to investigate the accuracy, convergence, and robustness of the load identification results for different noise levels, sensors numbers, and initial estimates of structural parameters. Then, the laboratory beam structure experiments were conducted. The results show that using the two identification methods Tikhonov (L-curve) and TSVD (GCV-curve) can successfully and accurately identify the different excitation forces of the external hammer. The TSVD based on GCV method has more advantages than the Tikhonov based on L-curve method. The proposed two kinds of load identification procedure based on vibration response can be applied to the safety performance evaluation of the railway track structure in future inverse problems research.
- Is Part Of:
- Shock and vibration. Volume 2018(2018)
- Journal:
- Shock and vibration
- Issue:
- Volume 2018(2018)
- Issue Display:
- Volume 2018, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2018
- Issue Sort Value:
- 2018-2018-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-10-15
- Subjects:
- Shock (Mechanics) -- Periodicals
Vibration -- Periodicals
534.5 - Journal URLs:
- https://www.hindawi.com/journals/sv/ ↗
- DOI:
- 10.1155/2018/9204865 ↗
- Languages:
- English
- ISSNs:
- 1070-9622
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10303.xml