Title:
ITERATION-BASED QUASI-STATIC BRIDGE INFLUENCE LINE IDENTIFICATION METHOD
Document Type and Number:
WIPO Patent Application WO/2019/232737
Kind Code:
A1
Abstract:
The present invention pertains to the technical field of structural safety inspection, and discloses an iteration-based quasi-static bridge influence line identification method. The method comprises the following steps: (1) establishing a mathematical model of an influence line; (2) optimizing an influence line identification equation by means of a Tikhonov regularization method; and (3) using an LSQR method to identify the influence line. The present invention utilizes actual measurement information of a loaded vehicle passing through a bridge at a uniform speed and a resulting bridge response thereof, and adopts the LSQR method to find a solution of the influence line identification equation, thereby improving the efficiency of influence line identification. The method has better adaptability, has superior results for identification in various test scenarios, and has potential for subsequent engineering applications.
Inventors:
YI TINGHUA (CN)
YANG DONGHUI (CN)
ZHENG XU (CN)
LI HONGNAN (CN)
YANG DONGHUI (CN)
ZHENG XU (CN)
LI HONGNAN (CN)
Application Number:
PCT/CN2018/090207
Publication Date:
December 12, 2019
Filing Date:
June 07, 2018
Export Citation:
Assignee:
UNIV DALIAN TECH (CN)
International Classes:
G01M5/00
Foreign References:
| CN107588915A | 2018-01-16 | |||
| CN105973619A | 2016-09-28 | |||
| CN105005694A | 2015-10-28 | |||
| CN102509005A | 2012-06-20 | |||
| CN106156501A | 2016-11-23 | |||
| US20060137914A1 | 2006-06-29 |
Other References:
YUANG, DONG: "Study on the Bridge Weigh-in-motion and Regularization Optimization Methods", ELECTRONIC JOURNALS, CHINA MASTER'S THESES FULL-TEXT DATABASE, 15 February 2017 (2017-02-15), pages 32, ISSN: 1674-0246
YANG, WEI ET AL.: "A Study of the LSQR Algorithm for Cross-hole Tomography", GEOPHYSICAL AND GEOCHEMICAL EXPLORATION, vol. 32, no. 2, 15 April 2008 (2008-04-15), pages 199 - 202, XP055665473, ISSN: 1000-8918
YANG, WEI ET AL.: "A Study of the LSQR Algorithm for Cross-hole Tomography", GEOPHYSICAL AND GEOCHEMICAL EXPLORATION, vol. 32, no. 2, 15 April 2008 (2008-04-15), pages 199 - 202, XP055665473, ISSN: 1000-8918
Download PDF: