2023
DOI: 10.1016/j.engfailanal.2022.107004
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An alternative approach for limit analysis of masonry arches on moving supports in finite small displacements

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Cited by 10 publications
(2 citation statements)
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“…Galassi et al [28], in looking at failure mechanisms on moving supports, considered only hinging mechanisms on unloaded voussoirs without spandrel walls. Galassi showed settling arches as developing hinging mechanisms exclusively [29]. Zampieri, Amoroso, and Pellegrino [10] and Zampieri, Cavalagli, Gusella, Pellegrino [30] offer similar studies of support settlement in arches that only consider hinging mechanisms.…”
Section: Continuing Reliance On Heyman's Methodsmentioning
confidence: 87%
“…Galassi et al [28], in looking at failure mechanisms on moving supports, considered only hinging mechanisms on unloaded voussoirs without spandrel walls. Galassi showed settling arches as developing hinging mechanisms exclusively [29]. Zampieri, Amoroso, and Pellegrino [10] and Zampieri, Cavalagli, Gusella, Pellegrino [30] offer similar studies of support settlement in arches that only consider hinging mechanisms.…”
Section: Continuing Reliance On Heyman's Methodsmentioning
confidence: 87%
“…A multi-sensor approach was applied in the San Bevignate church by using 3D digitalisation techniques with laser scanning and UAV systems and a scalable and contactless thermographic method to identify and interpret the differences of temperature in wall surfaces. Such strategy enables the evaluation of the quality and regularity of the masonry texture covered by the frescoes, as the conservative status of the latter, representing an aprioristic element to be analysed (Galassi, 2023;Hejazi and Kaviani Dezaki, 2023) before any restoration intervention. In particular, the thermographic results were achieved by the surveys carried out in the lower parts of the north wall in correspondence of the depiction of the saints Magdalene, Stefano and Lorenzo (Figure 3) and of the drawings of overlapping ashlars (Figure 4).…”
Section: Resultsmentioning
confidence: 99%