2019
DOI: 10.2140/jomms.2019.14.719
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Automatic generation of statically admissible stress fields in masonry vaults

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Cited by 21 publications
(10 citation statements)
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“…In MEA, the equilibrium of a vault is assessed through the search for a membrane surface, comprised inbetween the intrados and the extrados of a vault, capable to equilibriate the assigned load with a purely compressive membrane stress field [34,40,41].…”
Section: Membrane Equilibrium Analysismentioning
confidence: 99%
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“…In MEA, the equilibrium of a vault is assessed through the search for a membrane surface, comprised inbetween the intrados and the extrados of a vault, capable to equilibriate the assigned load with a purely compressive membrane stress field [34,40,41].…”
Section: Membrane Equilibrium Analysismentioning
confidence: 99%
“…where the assumption of summation over repeated indices is implicit; moreover, a α is a curvilinear covariant basis vector, tangent to the membrane geometry, and T αβ is a contravariant component of the generalized stress. After some algebra, which is out of the scopes of this work, but is reported in [41,43], we reach the transversal equilibrium equation of the membrane…”
Section: Membrane Equilibrium Analysismentioning
confidence: 99%
“…The search for admissible stress states in masonry structures has motivated several researchers to model internal forces in masonry structures as thrust lines (e.g., [9][10][11][12][13][14]), or as thrust surfaces (e.g., [15][16][17][18]) or thrust networks (e.g., [19][20][21]) to account for the full 3D mechanical responses of masonry vaults.…”
Section: Introductionmentioning
confidence: 99%
“…Three assumptions are at the base of his theory: (i) masonry has no tensile strength, (ii) stresses are so low that masonry has effectively an unlimited compressive strength and (iii) sliding failure does not occur. According to Heyman's work, the geometry assumes a crucial role in guaranteeing the equilibrium for masonry structures, and indeed his formulation provided the roots for thriving research (Varma and Ghosh 2016;De Chiara et al 2019;Iannuzzo et al 2019;Fraddosio et al 2020).…”
Section: Introductionmentioning
confidence: 99%