scholarly journals Non-linear deformation and break up of enclaves in a rhyolitic magma: A case study from Lipari Island (southern Italy)

2004 ◽  
Vol 31 (24) ◽  
Author(s):  
Francois Holtz
2013 ◽  
Vol 62 (2) ◽  
pp. 145-155 ◽  
Author(s):  
Pietro Rubino ◽  
Anna Maria Stellacci ◽  
Roberta M. Rana ◽  
Maurizia Catalano ◽  
Angelo Caliandro

2021 ◽  
pp. 0739456X2110211
Author(s):  
Laura Lieto

The paper deals with planning norms in action, assuming that planning regulation is one among many kinds of regulation with which planners must contend. Norms operate and co-evolve within a normative ecology where institutions collaborate and compete through overlapping and often incommensurate normative frameworks and rules of the game. The importance of socio-materiality in how different regulations work in practice is emphasized. To develop the normative ecology argument, a case study is presented on the effects of Airbnb tourism on the historic center of Napoli in southern Italy.


Author(s):  
Aly-Joy Ulusoy ◽  
Filippo Pecci ◽  
Ivan Stoianov

AbstractThis manuscript investigates the design-for-control (DfC) problem of minimizing pressure induced leakage and maximizing resilience in existing water distribution networks. The problem consists in simultaneously selecting locations for the installation of new valves and/or pipes, and optimizing valve control settings. This results in a challenging optimization problem belonging to the class of non-convex bi-objective mixed-integer non-linear programs (BOMINLP). In this manuscript, we propose and investigate a method to approximate the non-dominated set of the DfC problem with guarantees of global non-dominance. The BOMINLP is first scalarized using the method of $$\epsilon $$ ϵ -constraints. Feasible solutions with global optimality bounds are then computed for the resulting sequence of single-objective mixed-integer non-linear programs, using a tailored spatial branch-and-bound (sBB) method. In particular, we propose an equivalent reformulation of the non-linear resilience objective function to enable the computation of global optimality bounds. We show that our approach returns a set of potentially non-dominated solutions along with guarantees of their non-dominance in the form of a superset of the true non-dominated set of the BOMINLP. Finally, we evaluate the method on two case study networks and show that the tailored sBB method outperforms state-of-the-art global optimization solvers.


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