2013
DOI: 10.1016/j.engfailanal.2013.02.024
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Structural failures in refrofit historical murat masonry arch bridge

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Cited by 22 publications
(10 citation statements)
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“…Masonry is the oldest building and unique technique for historical structures. In order to understand the earthquake behavior of masonry structures, many studies have been conducted in the literature and earthquake behaviors were investigated using the finite element method (FEM) (Kocak, ; Lourenco, ; Ayala and Speranze, ; Apostolopoulos and Sotiropoulos, ; Betti and Vignoli, ; Bayraktar et al ., ; Bağbancı, ; Foraboschi, ; Gonen et al ., ; Parisi and Augenti, ; Parisi et al . 2013).…”
Section: Introductionmentioning
confidence: 98%
“…Masonry is the oldest building and unique technique for historical structures. In order to understand the earthquake behavior of masonry structures, many studies have been conducted in the literature and earthquake behaviors were investigated using the finite element method (FEM) (Kocak, ; Lourenco, ; Ayala and Speranze, ; Apostolopoulos and Sotiropoulos, ; Betti and Vignoli, ; Bayraktar et al ., ; Bağbancı, ; Foraboschi, ; Gonen et al ., ; Parisi and Augenti, ; Parisi et al . 2013).…”
Section: Introductionmentioning
confidence: 98%
“…Many experimental studies have also been carried out to investigate the applicability of these analysis methods. In recent years, it has been aimed to get closer to the actual behavior by transferring the experimental data taken on real bridges to numerical analysis [5][6][7][8][9][10][11][12][13]. In order to determine the stress points of the historic Mus Murat Bridge under certain loads, analysis was performed with a finite element method.…”
Section: Introductionmentioning
confidence: 99%
“…The existing bridge management system (BMS) includes several methods [38,40]: (i) the grey system theory and Bayesian networks; (ii) analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE); (iii) comprehensive evaluation based on onsite inspection. The grey system theory and Bayesian networks are used to predict bridge technical conditions [41].…”
Section: Introductionmentioning
confidence: 99%