OPERA tau neutrino charged current interactions

The OPERA experiment was designed to discover the v(tau) appearance in a v(mu) beam, due to neutrino oscillations. The detector, located in the underground Gran Sasso Laboratory, consisted of a nuclear photographic emulsion/lead target with a mass of about 1.25 kt, complemented by electronic detectors. It was exposed from 2008 to 2012 to the CNGS beam: an almost pure v(mu) beam with a baseline of 730 km, collecting a total of 1.8 center dot 10(20) protons on target. The OPERA Collaboration eventually assessed the discovery of v(mu)-> v(tau) oscillations with a statistical significance of 6.1 sigma by observing ten v(tau) CC interaction candidates. These events have been published on the Open Data Portal at CERN. This paper provides a ydetailed description of the v(tau) data sample to make it usable by the whole community

Design, Performance, and Calibration of the CMS Hadron-Outer Calorimeter

The CMS hadron calorimeter is a sampling calorimeter with brass absorber and plastic scintillator tiles with wavelength shifting fibres for carrying the light to the readout device. The barrel hadron calorimeter is complemented with an outer calorimeter to ensure high energy shower containment in the calorimeter. Fabrication, testing and calibration of the outer hadron calorimeter are carried out keeping in mind its importance in the energy measurement of jets in view of linearity and resolution. It will provide a net improvement in missing \et measurements at LHC energies. The outer hadron calorimeter will also be used for the muon trigger in coincidence with other muon chambers in CMS

Investigation of glass transition temperature of asphalt concrete

The presented manuscript identifies the mix design parameters important for the glasstransition temperature and thermo-volumetric properties of asphalt–concrete mixes. Anumber of compacted specimens were prepared at air-void content, by mixingcomposition of materials in terms of aggregate origins, asphalt types, andgradations. The compacted mixes were later sized to required dimensions and weresubjected to a uniform rate of cooling in a specially designed testing machine. Thecontraction of the sample during the cooling was measured by linear vertical displacementtransducers, and the recorded values obtained were converted into longitudinal strain. Allvariables investigated in the study were found statistically significant to impact the glasstransition temperature of asphalt paving mixes. The methodology adopted in this studyprovides a new approach to predict glass transition temperatures in asphalt–concrete mixesand identifies the mix parameters that will be helpful in delaying the glass transitiontemperature of the mix for reliable performance of asphaltic pavements in cold regions

Bombini and Halictidae (Hymenoptera: Apoidea) Fauna of Afyonkarahisar Province of Turkey

The faunistic study was conducted in 17 boroughs belonging to Afyonkarahisar province between 2006 and 2009. A total number of 809 bee specimens were examined. 80 species belonging to the Bombini (11) and Halictidae (69) were identified. 49 of the determined species are reported for the first time for the Aegean Region and 67 species of which are also reported for the first time for Afyonkarahisar province. The presence of Evylaeus politus (Schenck, 1853), Nomiapis armata (Olivier, 1812), N. bispinosa (Brulle, 1832), N. squamata (Morawitz, 1895), Seladonia confusa (Smith, 1853), S. semitica (Bluthgen 1955) and S. vest ita (Lepeletier, 1841) in Turkey are documented in detail for the first time

Prediction of Subgrade Resilient Modulus Using Genetic Algorithm and Curve-Shifting Methodology Alternative to Nonlinear Constitutive Models

This paper demonstrates the applicability of the genetic algorithm and curve shifting methodology to the estimation of the resilient modulus at various stress states for subgrade soils by using the results of triaxial resilient modulus tests This innovative methodology is proposed as an alternative to conventional nonlinear constitutive relationships With the genetic algorithm laboratory curves for different deviator stress levels at different confining pressures are horizontally shifted to form a final gamma distribution curve that can represent the stress strain behavior of subgrade soils with the corresponding predicted shift factors Resilient modulus values for a given stress state can be estimated on the basis of this curve and another gamma function that represents the variation of the shift values for different confining stresses To corn pare the effectiveness of these two approaches coefficients for the Uzan constitutive model were also determined for each laboratory test and compared with those determined by the approach described in this paper Predicted resilient modulus values from each approach are separately compared with artificial neural network (ANN) model predictions to evaluate their efficiency and reliability for resilient response prediction The results of the analysis indicated that the curve shifting methodology gave superior estimates and a coefficient of determination 14% higher than the Uzan model predictions when the results were evaluated with the ANN model outputs Thus although it is not a con stitutive model use of the genetic algorithm and curve shifting methodology is proposed as a promising technique for the evaluation of the stress strain dependency of subgrade soil

Correlation between light falling weight deflectometer results and laboratory measured elastic response of unbound materials

Measuring in-situ elastic response of unbound materials has gained considerable interest in the design and rehabilitation of road pavements. The use of Light Falling Weight Deflectometer (LFWD) offers significant advantage in terms of time and testing costs over the laboratory determination of resilient modulus. In this study, results of in-situ measurement of modulus using a standard LEWD device are presented for a number of project sections. Laboratory tests are conducted to determine the resilient modulus and various soil index properties for a number of soil samples. Statistical analyses are performed to correlate LFWD results with the measured modulus as a function of material type and the soil index properties. Analyses indicate that the in-situ modulus is generally higher than the modulus measured in the laboratory for the same project sections. Even though a direct relation between the in-situ and laboratory modulus is presented, it is, however, shown that more index properties are necessary to improve such correlations. The findings also indicate that statistical correlations can be significantly improved by using the maximum dry density and the plasticity index of soil samples

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TÜBİTAK MAG Proj

The effect of percent foam fill ratio on the energy absorption capacity of axially compressed thin-walled multi-cell square and circular tubes

In this study, the effect of foam fill ratio on the energy absorption capacity of axially compressed thin-walled multi-cell square and circular tubes is investigated. In the experimental study, Aluminum tubes having circular cross-sections with four different foam fill ratio (11.4%, 22.8%, 34.2%, 100%) were subjected to compression tests under quasi-static test conditions. The finite element (FE) models of these tests were prepared and FE analysis were conducted using LS-DYNA program for validation study. After validating the FE models with real experiments, a total of 24 different multi-cell geometries (6 square empty, 6 square with various foam fill ratio, 6 circular empty and 6 circular with various foam fill ratio) were created. A total of three different wall thicknesses were used for each geometry in the explicit dynamic analyses. It is found out that specific energy absorption (SEA) of foam-filled square design is 5 times larger compared to the empty square design which has minimum SEA. By varying the wall thickness, the SEA and crush force efficiency (CFE) performances of the foam-filled square design can be increased by 87% and 42% respectively. The main goal of this study is to find the best multi-cell design having maximum SEA and CFE. (C) 2017 Elsevier Ltd. All rights reserved.This study is funded by The Scientific and Technological Research Council of Turkey (TUBITAK), under award MAG-115M025