The load bearing capacity of railway masonry arch bridges

This paper deals with the way of calculating the load-bearing capacity of masonry arch railway bridges. It reviews the basic aspects of structural behaviour of these bridges, such as material non-linearity of masonry and interaction with the soil. Paper shows, how to include second order analysis in the calculation, because in some cases it might have non-negligible influence. It reminds the requirements of standards and shows, how to calculate the load-bearing capacity in accordance with these requirements with influence of mentioned non-linearities

The load bearing capacity of railway masonry arch bridges

This paper deals with the way of calculating the load-bearing capacity of masonry arch railway bridges. It reviews the basic aspects of structural behaviour of these bridges, such as material non-linearity of masonry and interaction with the soil. Paper shows, how to include second order analysis in the calculation, because in some cases it might have non-negligible influence. It reminds the requirements of standards and shows, how to calculate the load-bearing capacity in accordance with these requirements with influence of mentioned non-linearities

Experiments with Active-Set LP Algorithms Allowing Basis Deficiency

n interesting question for linear programming (LP) algorithms is how to deal with solutions in which the number of nonzero variables is less than the number of rows of the matrix in standard form. An approach is that of basis deficiency-allowing (BDA) simplex variations, which work with a subset of independent columns of the coefficient matrix in standard form, wherein the basis is not necessarily represented by a square matrix. We describe one such algorithm with several variants. The research question deals with studying the computational behaviour by using small, extreme cases. For these instances, we must wonder which parameter setting or variants are more appropriate. We compare the setting of two nonsimplex active-set methods with Holmström’s TomLab LpSimplex v3.0 commercial sparse primal simplex commercial implementation. All of them update a sparse QR factorization in Matlab. The first two implementations require fewer iterations and provide better solution quality and running time.This work has been funded by grant PID2021-123278OB-I00 from the Spanish Ministry of Science and Innovation. Partial funding for open access charge: Universidad de Málag

Commissioning of the ATLAS Muon Spectrometer with cosmic rays

The ATLAS detector at the Large Hadron Collider has collected several hundred million cosmic ray events during 2008 and 2009. These data were used to commission the Muon Spectrometer and to study the performance of the trigger and tracking chambers, their alignment, the detector control system, the data acquisition and the analysis programs. We present the performance in the relevant parameters that determine the quality of the muon measurement. We discuss the single element efficiency, resolution and noise rates, the calibration method of the detector response and of the alignment system, the track reconstruction efficiency and the momentum measurement. The results show that the detector is close to the design performance and that the Muon Spectrometer is ready to detect muons produced in high energy proton–proton collisions

Muon Storage Rings Design with Simple Mathematica Packages

This report describes the use of Mathematica in automating a step in the early design of a muon storage ring for a neutrino factory, leading from the concept to the input data for a matching program. The design procedure is embedded in a Mathematica notebook and Mathematica packages. These packages were developed for a variety of parameter searches. A 30 GeV muon storage ring, with a physical aperture accepting a muon beam with a normalized emittance exn = 15 mm and a relative RMS momentum spread se=0.003 at three standard deviations is used as a specific example

Commissioning of the ATLAS Muon Spectrometer with cosmic rays

The ATLAS detector at the Large Hadron Collider has collected several hundred million cosmic ray events during 2008 and 2009. These data were used to commission the Muon Spectrometer and to study the performance of the trigger and tracking chambers, their alignment, the detector control system, the data acquisition and the analysis programs. We present the performance in the relevant parameters that determine the quality of the muon measurement. We discuss the single element efficiency, resolution and noise rates, the calibration method of the detector response and of the alignment system, the track reconstruction efficiency and the momentum measurement. The results show that the detector is close to the design performance and that the Muon Spectrometer is ready to detect muons produced in high energy proton–proton collisions.Facultad de Ciencias Exacta

Commissioning of the ATLAS Muon Spectrometer with cosmic rays

The ATLAS detector at the Large Hadron Collider has collected several hundred million cosmic ray events during 2008 and 2009. These data were used to commission the Muon Spectrometer and to study the performance of the trigger and tracking chambers, their alignment, the detector control system, the data acquisition and the analysis programs. We present the performance in the relevant parameters that determine the quality of the muon measurement. We discuss the single element efficiency, resolution and noise rates, the calibration method of the detector response and of the alignment system, the track reconstruction efficiency and the momentum measurement. The results show that the detector is close to the design performance and that the Muon Spectrometer is ready to detect muons produced in high energy proton–proton collisions.Facultad de Ciencias Exacta