Institution
Polytechnic University of Turin
Education•Turin, Piemonte, Italy•
About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Nonlinear system. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.
Topics: Finite element method, Nonlinear system, Population, Energy consumption, Boundary value problem
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, aqueous solution of polymer blends was used to electrospun wool keratin/poly(ethylene oxide) nanofibers under different operating conditions and the filaments were characterized with scanning electron microscopy, Fourier transform infrared, and differential scanning calorimetry analyses.
Abstract: Research on the electrospinning of nanofibers has increased in recent years because of the number of potential applications in different areas, ranging from technical textiles (e.g., filters, composite reinforcements, and protective fabrics) to biomedical commodities and devices such as bandages, membranes, bioactive surfaces, and porous substrates for tissue engineering, for which biocompatible polymers play an essential role. In this work, wool keratin/poly(ethylene oxide) nanofibers were electrospun from aqueous solutions of polymer blends under different operating conditions. The filaments were characterized with scanning electron microscopy, Fourier transform infrared, and differential scanning calorimetry analyses and compared with films of the same materials produced via casting with the aim of investigating structural changes due to the electrospinning process. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 104: 863–870, 2007
134 citations
••
TL;DR: The air permeability of PDMS membranes can be easily tuned by varying their composition as mentioned in this paper, by varying the mixing ratio between oligomers and curing agent it is possible to strongly influence the chemical and mechanical properties of the elastomer resulting in a huge increase in the permeation of gas molecules across the membrane.
Abstract: The air permeability of PDMS membranes is easily tuned by varying their composition. By varying the mixing ratio between oligomers and curing agent it is possible to strongly influence the chemical and mechanical properties of the elastomer resulting in a huge increase in the permeation of gas molecules across the membrane.
134 citations
••
TL;DR: In this article, the authors derived analytical approximations for the conductor losses of asymmetric coplanar waveguides (ACPW) on a finite-thickness dielectric substrate.
Abstract: New analytical approximations are derived for the conductor losses of asymmetric coplanar waveguides (ACPW) and coplanar striplines (ACPS) on a finite-thickness dielectric substrate. The expressions hold for lines whose metallizations have thickness much smaller than the slot and strip widths, but suitably larger than the skin penetration depth at the operating frequency. The derivation is based on an extension of the conformal mapping approach formerly proposed by Owyang and Wu (1958) for symmetric lines in air. Comparisons with published data from quasistatic or full-wave numerical analyses are presented to validate the expressions derived for both the symmetric and the asymmetric case. The analytical characterization presented in the paper is well suited for inclusion into CAD codes for MMIC design. >
134 citations
••
TL;DR: In this paper, a new methodology was developed to combine probabilistic user profiles for both window opening and thermostat set-point adjustments into one building energy model implemented in the dynamic simulation tool IDA Ice.
Abstract: Existing dynamic energy simulation tools exceed the static dimension of the simplified methods through a better and more accurate prediction of energy use; however, their ability to predict real energy consumption is undermined by a weak representation of human interactions with the control of the indoor environment. The traditional approach to building dynamic simulation considers energy consumption as fully deterministic, taking into account standardized input parameters and using fixed and unrealistic schedules (lighting level, occupancy, ventilation rate, thermostat set-point). In contrast, in everyday practice occupants interact with the building plant system and building envelope in order to achieve desired indoor environmental conditions. In this study, occupant behavior in residential building was modelled accordingly to a probabilistic approach. A new methodology was developed to combine probabilistic user profiles for both window opening and thermostat set-point adjustments into one building energy model implemented in the dynamic simulation tool IDA Ice. The aim of the study was to compare mean values of the probabilistic distribution of the obtained results with a singular heating energy consumption value obtained by means of standard deterministic simulations. Major findings of this research demonstrated the weakness of standardized occupant behavior profile in energy simulation tools and the strengths of energy models based on measurements in fields and probabilistic modelling providing scenarios of occupant behavior in buildings.
134 citations
••
TL;DR: In this article, the results of about 70 realizations of the BARC flow configuration obtained under a nominally common set-up in both wind tunnel experiments and numerical simulations are compared among themselves and with the data available in the literature prior to BARC, in terms of bulk parameters, flow and aerodynamic load statistics, pressure and force spanwise correlations.
134 citations
Authors
Showing all 11854 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rodney S. Ruoff | 164 | 666 | 194902 |
Silvia Bordiga | 107 | 498 | 41413 |
Sergio Ferrara | 105 | 726 | 44507 |
Enrico Rossi | 103 | 606 | 41255 |
Stefano Passerini | 102 | 771 | 39119 |
James Barber | 102 | 642 | 42397 |
Markus J. Buehler | 95 | 609 | 33054 |
Dario Farina | 94 | 832 | 32786 |
Gabriel G. Katul | 91 | 506 | 34088 |
M. De Laurentis | 84 | 275 | 54727 |
Giuseppe Caire | 82 | 825 | 40344 |
Christophe Fraser | 76 | 264 | 29250 |
Erasmo Carrera | 75 | 829 | 23981 |
Andrea Califano | 75 | 305 | 31348 |
Massimo Inguscio | 74 | 427 | 21507 |