Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14362
Title: Finite element-based force identification of sliding support systems : part I - theory
Authors: Zhao, X
Xu, YL 
Keywords: Force identification
Measurement point selection
Orthogonal property
Quadratic programming problem
Sliding support
Strain measurement
Issue Date: 2006
Source: Finite elements in analysis and design, 2006, v. 42, no. 4, p. 229-248 How to cite?
Journal: Finite Elements in Analysis and Design 
Abstract: Sliding supports are widely used in bridges, space structures, and power plants to avoid potential damages to the structure due to expansion and contraction effects caused by temperature changes. To ensure the safety of an important structure with sliding supports, it is desirable to know both the magnitudes and positions of sliding forces through strain measurements. Effective and practical identification of sliding forces based on strain measurements on site is therefore explored in this paper. The problems involved in the force identification of sliding support systems are described. The finite element-based force identification technique and the strain measurement point selection procedure are then presented for the identification of sliding forces with no information required on their initial positions and magnitudes. The minimum strain measurement points with fairly good orthogonal property are targeted in the selection procedure. The quadratic programming problem with linear constraints and in some case the nonlinear least-squares method are involved in the identification of either concentrated sliding forces or uniformly distributed sliding loads. The feasibility and accuracy of the force identification technique and the strain measurement point selection procedure proposed in Part I of this paper will be demonstrated in Part II of this paper through numerical examples.
URI: http://hdl.handle.net/10397/14362
ISSN: 0168-874X
DOI: 10.1016/j.finel.2005.06.004
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Last Week
0
Last month
0
Citations as of May 15, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Mar 29, 2017

Page view(s)

28
Last Week
1
Last month
Checked on May 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.