Structural assessment of masonry arch bridges by combination of non-destructive testing techniques and three-dimensional numerical modelling: Application to Vilanova bridge

被引:124
作者
Conde, Borja [1 ]
Ramos, Luis F. [2 ]
Oliveira, Daniel V. [2 ]
Riveiro, Belen [1 ]
Solla, Mercedes [3 ]
机构
[1] Univ Vigo, Sch Ind Engn, Dept Engn Mat Appl Mech & Construct, Vigo, Spain
[2] Univ Minho, ISISE, Dept Civil Engn, Guimaraes, Portugal
[3] Spanish Naval Acad, Defense Univ Ctr, Marin, Pontevedra, Spain
关键词
Masonry arch bridges; Geomatic techniques; Operational modal analysis; Sonic testing; Finite element model updating; Optimization; Non-linear analysis; LIMIT ANALYSIS;
D O I
10.1016/j.engstruct.2017.07.011
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this work a multidisciplinary approach for the structural assessment of masonry arch bridges is presented. The Vilanova Bridge, located in Galicia, northwest of Spain, is considered for the implementation of the methodology. A comprehensive field survey fully based on non-destructive testing techniques, which integrates laser scanning, ground penetration radar, sonic tests and ambient vibration testing, is proposed. It provides all the necessary geometric data to build an accurate and detailed three-dimensional finite element model. The calibration of the model is then carried out through the coupling with an optimization algorithm, which minimizes the discrepancies with respect to the experimentally obtained modal properties. The structural analysis of the bridge is addressed in the last stage. A sensitivity analysis involving different loading scenarios and the plausible variation of the masonry and soil material properties is performed. The results demonstrate the significant influence of tensile non-linear properties of masonry, but also the key role played by fill materials on the arch bridge performance. Lastly, the advantages of adopting a three-dimensional modelling approach are also pointed out, since the apparition of critical transverse effects in the response of the structure is successfully captured by the developed numerical model. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:621 / 638
页数:18
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