3,094 research outputs found
Carbon Dioxide Heat Transfer Coefficients And Pressure Drops During Flow Boiling: Assessment Of Predictive Methods
Among the alternatives to the HCFCs and HFCs, carbon dioxide emerged as one of the most promising environmentally friendly refrigerants. In past years many works were carried out about CO2 flow boiling and very different two-phase flow characteristics from conventional fluids were found.
In order to assess the best predictive methods for the evaluation of CO2 heat transfer coefficients and pressure gradients in macro-channels, in the current article a literature survey of works and a collection of the results of statistical comparisons available in literature are furnished.
In addition the experimental data from University of Naples are used to run a deeper analysis. Both a statistical and a direct comparison against some of the most quoted predictive methods are carried out. Methods implemented both for low–medium pressure refrigerants and specifically developed for R744 are used in the comparison.
Some general indications about the choice of the predictive methods dependently on the operating conditions are given
Contextualized property market models vs. Generalized mass appraisals: An innovative approach
The present research takes into account the current and widespread need for rational valuation methodologies, able to correctly interpret the available market data. An innovative automated valuation model has been simultaneously implemented to three Italian study samples, each one constituted by two-hundred residential units sold in the years 2016-2017. The ability to generate a "unique" functional form for the three different territorial contexts considered, in which the relationships between the influencing factors and the selling prices are specified by different multiplicative coefficients that appropriately represent the market phenomena of each case study analyzed, is the main contribution of the proposed methodology. The method can provide support for private operators in the assessment of the territorial investment conveniences and for the public entities in the decisional phases regarding future tax and urban planning policies
The application of a Bayesian approach to assess the seismic vulnerability of historical centers
The seismic vulnerability of historical centers at a territorial scale cannot be assessed performing
detailed analysis which are usually adopted at the single building scale. In fact, a traditional complete survey
would be extremely time-consuming and not sustainable for this purpose.
The approach described in this paper is based on the idea that it is possible to infer quantities which cannot be directly
detected from buildings outside inspection starting from parameters that can be measured. In order to
achieve this purpose, a Bayesian approach is applied, updating initial hypotheses when new data become available.
In this context, the procedure herein proposed aims at applying a probabilistic approach instead of a deterministic
one to define facades inter-storey height starting from buildings height knowledge. In order to validate the method,
for out of plane local mechanisms of collapse (walls overturning), horizontal loads multiplier \uf0610 values are calculated
and compared to results obtained by using data collected on-site
EXPERIMENTS DURING FLOW BOILING OF A R22 DROP-IN: R422D ADIABATIC PRESSURE GRADIENTS
R22, the HCFC most widely used in refrigeration and air-conditioning systems in the last years, is phasing-out. R422D, a zero ozone-depleting mixture of R125, R134a and R600a (65.1%/31.5%/3.4% by weight, respectively), has been recently proposed as a drop-in substitute. For energy consumption calculations and temperature control, it is of primary importance to estimate operating conditions after substitution. To determine pressure drop in the evaporator and piping line to the compressor, in this paper the experimental adiabatic pressure gradients during flow boiling of R422D are reported for a circular smooth horizontal tube (3.00 mm inner radius) in a range of operating conditions of interest for dry-expansion evaporators.
The data are used to establish the best predictive method for calculations and its accuracy: the Moreno-Quibèn and Thome method provided the best predictions for the whole database and also for the segregated data in the annular flow regime.
Finally, the experimental data have been compared with the adiabatic pressure gradients of both R22 and its much used alternative R407C available in the literature
Seismic vulnerability assessment on a territorial scale based on a Bayesian approach
Italian historical centres are mostly characterized by aggregate buildings. As defined by
the Italian codes (Norme Tecniche per le Costruzioni 2008 and Circolare n. 617), the analysis of the most
representative local mechanisms of collapse must be performed in order to assess their vulnerability. In
this article, the out-of-plane local mechanisms of collapse analysis is implemented by applying a new
method of analysis based on a probabilistic approach. Usually information which are necessary for the
implementation of the local mechanisms analyses are affected by uncertainty or are missing, therefore
in lots of cases it is only possible to hypothesize them on the basis of the other buildings information
collected during the on-site survey. In this context, the implementation of a Bayesian approach allows to
deduce buildings lacking information (i.e. wall thickness and interstorey height) starting from certain collected
data (i.e. facades height). The historical centre of Timisoara (Romania) is selected as the case study
for the implementation of this new method of analysis, given the extension of the on-site survey already
carried out in the area (information about more than 200 structural units have been collected) and the
seismic vulnerability assessment on an urban scale already performed by applying a traditional method.
Results obtained by adopting the two approaches are then compared and a validation and a calibration
of the new one is carried out
Isoscaling and the symmetry energy in spectator fragmentation
Isoscaling and its relation to the symmetry energy in the fragmentation of
excited residues produced at relativistic energies were studied in two
experiments conducted at the GSI laboratory. The INDRA multidetector has been
used to detect and identify light particles and fragments with Z <= 5 in
collisions of 12C on 112,124Sn at incident energies of 300 and 600 MeV per
nucleon. Isoscaling is observed, and the deduced parameters decrease with
increasing centrality. Symmetry term coefficients, deduced within the
statistical description of isotopic scaling, are near gamma = 25 MeV for
peripheral and gamma < 15 MeV for central collisions.
In a very recent experiment with the ALADIN spectrometer, the possibility of
using secondary beams for reaction studies at relativistic energies has been
explored. Beams of 107Sn, 124Sn, 124La, and 197Au were used to investigate the
mass and isospin dependence of projectile fragmentation at 600 MeV per nucleon.
The decrease of the isoscaling parameters is confirmed and extended over the
full fragmentation regime covered in these reactions.Comment: Proceedings of the IWM2005, Catania, Italy, Nov 200
Slowly driven sandpile formation with granular mixtures
We introduce a one-dimensional sandpile model with different particle types and an infinitesimal driving rate. The parameters for the model are the N^2 critical slopes for one type of particle on top of another. The model is trivial when N=1, but for N=2 we observe four broad classes of sandpile structure in different regions of the parameter space. We describe and explain the behaviour of each of these classes, giving quantitative analysis wherever possible. The behaviour of sandpiles with N>2 essentially consists of combinations of these four classes. We investigate the model's robustness and highlight the key areas that any experiment designed to reproduce these results should focus on
Preoperative drainage in pancreatic cancer.
Van der Gaag et al. conclude that preoperative biliary drainage in patients undergoing surgery for cancer of the head of the pancreas increases complications. Previous studies have shown that stenting is associated with a doubling in the risk of wound infection and an overall slightly increased risk of any complication
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