2015
DOI: 10.1016/j.conbuildmat.2014.10.044
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Experimental frequencies and damping ratios for historical masonry arch bridges

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Cited by 77 publications
(27 citation statements)
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“…Recently, many authors have devoted considerable attention to the dynamic assessment of ancient masonry bridges [Aoki et al 2007, Bayraktar et al 2009, Bayraktar et al 2015, Boscato et al 2010, Giof-fré et al 2008, Perez-Garcia et al 2011, Sevim et al 2011. In this context, the present paper reports on a vibration measurement campaign on the Maddalena Bridge, also known as "Ponte del Diavolo", in Borgo a Mozzano, near Lucca (Figure 1).…”
Section: Introductionmentioning
confidence: 90%
“…Recently, many authors have devoted considerable attention to the dynamic assessment of ancient masonry bridges [Aoki et al 2007, Bayraktar et al 2009, Bayraktar et al 2015, Boscato et al 2010, Giof-fré et al 2008, Perez-Garcia et al 2011, Sevim et al 2011. In this context, the present paper reports on a vibration measurement campaign on the Maddalena Bridge, also known as "Ponte del Diavolo", in Borgo a Mozzano, near Lucca (Figure 1).…”
Section: Introductionmentioning
confidence: 90%
“…Then, incorporating the stiffness and geometry of the bridge, they calculated the capacity of this bridge (~ 14.5 ton) through forming the first hinge. Bayraktar et al [9], claiming that the numerical study of masonry bridges cannot be accurate enough by itself, installed some resonance-sensitive accelerometer and conducted some field tests. They selected eight masonry bridges made of stone and mortar with different ages and locations and calculated their dynamic properties using the modal analysis.…”
Section: Introductionmentioning
confidence: 99%
“…e natural frequency, mode shape, and damping ratio of a bridge can be estimated by running a modal analysis [3]. e numerical model can be improved using a modal analysis and a comparison with experimental data [4,5] to track the change in the dynamic parameters of a structure [6][7][8][9][10][11], which is a nondestructive technology for bridge detection.…”
Section: Introductionmentioning
confidence: 99%