The obstacle problem in masonry structures and cable nets - Archive ouverte HAL
Pré-Publication, Document De Travail Année : 2022

The obstacle problem in masonry structures and cable nets

Ada Amendola
  • Fonction : Auteur
Ornella Mattei
  • Fonction : Auteur
Graeme W. Milton
  • Fonction : Auteur
  • PersonId : 838122

Résumé

We consider the problem of finding a net that supports prescribed forces applied at prescribed points, yet avoids certain obstacles, with all the elements of the net under compression (strut net) or under tension (cable web). In the case of masonry structures, for instance, this consists in finding a strut net that supports the forces, is contained within the physical structure, and avoids regions that may be not accessible due, for instance, to the presence of holes. We solve such a problem in the two-dimensional case, where the prescribed forces are applied at the vertices of a convex polygon, and we treat the cases of both single and multiple obstacles. By approximating the obstacles by polygonal regions, the task reduces to identifying the feasible domain in a linear programming problem. For a single obstacle we show how the region $\Gamma$ available to the obstacle can be enlarged as much as possible in the sense that there is no other strut net, having a region $\Gamma_1$ available to the obstacle with $\Gamma_1 \subset\Gamma$. The case where some of the forces are reactive, unprescribed but reacting to the other prescribed forces, is also treated. It again reduces to identifying the feasible domain in a linear programming problem. Finally, one may allow a subset of the reactive forces to each act not at a prescribed point, but rather at any point on a prescribed line segment. Then the task reduces to identifying the feasible domain in a quadratic programming problem.

Dates et versions

hal-03633877 , version 1 (07-04-2022)

Identifiants

Citer

Ada Amendola, Ornella Mattei, Graeme W. Milton, Pierre Seppecher. The obstacle problem in masonry structures and cable nets. 2022. ⟨hal-03633877⟩

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