EXPERIMENTAL INVESTIGATION OF UNSTEADY FLOW IN A TRANSONIC UNI-STAGE AXIAL COMPRESSOR

Detailed steady and unsteady experimental measurements and analysis were performed on a Single stage Transonic Axial Compressor with asymmetric rotor tip clearance for studying the compressor stall phenomena. The installed compressor had asymmetric tip clearance around the rotor casing varying from about 0.65mm to 1.25mm. A calibrated 5-hole aerodynamic probe was traversed radially at exit of rotor and showed the characteristics of increased flow angle at lower mass flow rates for all the speeds. Mach number distribution and boundary layer effects were also clearly captured. Unsteady measurements for velocity were carried out to study the stall cell behavior using a single component calibrated hotwire probe oriented in axial and tangential directions for choke/free flow and near stall conditions. The hotwire probe was traversed radially across the annulus at inlet to the compressor and showed that the velocity fluctuations were dissimilar when probe was aligned axial and tangential to the flow. Averaged velocities across the annulus showed the reduction in velocity as stall was approached. Axial mean flow velocity decreased across the annulus for all the speeds investigated. Tangential velocity at free flow condition was higher at the tip region due to larger radius. At stall condition, the tangential velocity showed decreased velocities at the tip and slightly increased velocities at the hub section indicating that the flow has breakdown at the tip region of the blade and fluid is accelerated below the blockage zone. The averaged turbulent intensity in axial and tangential flow directions increased from free flow to stall condition for all compressor rated speeds. Fast Fourier Transform (FFT) of the raw signals at stall flow condition showed stall cell and its corresponding frequency of occurrence. The stalling frequency of about half of rotational speed of the rotor along with large tip clearance suggests that modal type stall inception was occurring.

Identification of dominant modes in random dynamical and aeroelastic systems

Identification of dominant modes is an important step in studying linearly vibrating systems, including flow-induced vibrations. In the presence of uncertainty, when some of the system parameters and the external excitation are modeled as random quantities, this step becomes more difficult. This work is aimed at giving a systematic treatment to this end. The ability to capture the time averaged kinetic energy is chosen as the primary criterion for selection of modes. Accordingly, a methodology is proposed based on the overlap of probability density functions (pdf) of the natural and excitation frequencies, proximity of the natural frequencies of the mean or baseline system, modal participation factor, and stochastic variation of mode shapes in terms of the modes of the baseline system - termed here as statistical modal overlapping. The probabilistic descriptors of the natural frequencies and mode shapes are found by solving a random eigenvalue problem. Three distinct vibration scenarios are considered: (i) undamped arid damped free vibrations of a bladed disk assembly, (ii) forced vibration of a building, and (iii) flutter of a bridge model. Through numerical studies, it is observed that the proposed methodology gives an accurate selection of modes. (C) 2015 Elsevier Ltd. All rights reserved.

A hybrid method for stochastic response analysis of a vibrating structure

Response analysis of a linear structure with uncertainties in both structural parameters and external excitation is considered here. When such an analysis is carried out using the spectral stochastic finite element method (SSFEM), often the computational cost tends to be prohibitive due to the rapid growth of the number of spectral bases with the number of random variables and the order of expansion. For instance, if the excitation contains a random frequency, or if it is a general random process, then a good approximation of these excitations using polynomial chaos expansion (PCE) involves a large number of terms, which leads to very high cost. To address this issue of high computational cost, a hybrid method is proposed in this work. In this method, first the random eigenvalue problem is solved using the weak formulation of SSFEM, which involves solving a system of deterministic nonlinear algebraic equations to estimate the PCE coefficients of the random eigenvalues and eigenvectors. Then the response is estimated using a Monte Carlo (MC) simulation, where the modal bases are sampled from the PCE of the random eigenvectors estimated in the previous step, followed by a numerical time integration. It is observed through numerical studies that this proposed method successfully reduces the computational burden compared with either a pure SSFEM of a pure MC simulation and more accurate than a perturbation method. The computational gain improves as the problem size in terms of degrees of freedom grows. It also improves as the timespan of interest reduces.

Study of wrist pulse signals using time domain spatial features

Blood travels throughout the body and thus its flow is modulated by changes in body condition. As a consequence, the wrist pulse signal contains important information about the status of the human body. In this work we have employed signal processing techniques to extract important information from these signals. Radial artery pulse pressure signals are acquired at wrist position noninvasively for several subjects for two cases of interest, viz. before and after exercise, and before and after lunch. Further analysis is performed by fitting a bi-modal Gaussian model to the data and extracting spatial features from the fit. The spatial features show statistically significant (p < 0.001) changes between the groups for both the cases, which indicates that they are effective in distinguishing the changes taking place due to exercise or food intake. Recursive cluster elimination based support vector machine classifier is used to classify between the groups. A high classification accuracy of 99.71% is achieved for the exercise case and 99.94% is achieved for the lunch case. This paper demonstrates the utility of certain spatial features in studying wrist pulse signals obtained under various experimental conditions. The ability of the spatial features in distinguishing changing body conditions can be potentially used for various healthcare applications. (C) 2015 Elsevier Ltd. All rights reserved.

Nonlinear mode coupling and internal resonances in MoS2 nanoelectromechanical system

Atomically thin two dimensional (2D) layered materials have emerged as a new class of material for nanoelectromechanical systems (NEMS) due to their extraordinary mechanical properties and ultralow mass density. Among them, graphene has been the material of choice for nanomechanical resonator. However, recent interest in 2D chalcogenide compounds has also spurred research in using materials such as MoS2 for the NEMS applications. As the dimensions of devices fabricated using these materials shrink down to atomically thin membrane, strain and nonlinear effects have become important. A clear understanding of the nonlinear effects and the ability to manipulate them is essential for next generation sensors. Here, we report on all electrical actuation and detection of few-layer MoS2 resonator. The ability to electrically detect multiple modes and actuate the modes deep into the nonlinear regime enables us to probe the nonlinear coupling between various vibrational modes. The modal coupling in our device is strong enough to detect three distinct internal resonances. (C) 2015 AIP Publishing LLC.

A coupled discriminative dictionary and transformation learning approach with applications to cross domain matching

Cross domain and cross-modal matching has many applications in the field of computer vision and pattern recognition. A few examples are heterogeneous face recognition, cross view action recognition, etc. This is a very challenging task since the data in two domains can differ significantly. In this work, we propose a coupled dictionary and transformation learning approach that models the relationship between the data in both domains. The approach learns a pair of transformation matrices that map the data in the two domains in such a manner that they share common sparse representations with respect to their own dictionaries in the transformed space. The dictionaries for the two domains are learnt in a coupled manner with an additional discriminative term to ensure improved recognition performance. The dictionaries and the transformation matrices are jointly updated in an iterative manner. The applicability of the proposed approach is illustrated by evaluating its performance on different challenging tasks: face recognition across pose, illumination and resolution, heterogeneous face recognition and cross view action recognition. Extensive experiments on five datasets namely, CMU-PIE, Multi-PIE, ChokePoint, HFB and IXMAS datasets and comparisons with several state-of-the-art approaches show the effectiveness of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.

A coupled discriminative dictionary and transformation learning approach with applications to cross domain matching

Cross domain and cross-modal matching has many applications in the field of computer vision and pattern recognition. A few examples are heterogeneous face recognition, cross view action recognition, etc. This is a very challenging task since the data in two domains can differ significantly. In this work, we propose a coupled dictionary and transformation learning approach that models the relationship between the data in both domains. The approach learns a pair of transformation matrices that map the data in the two domains in such a manner that they share common sparse representations with respect to their own dictionaries in the transformed space. The dictionaries for the two domains are learnt in a coupled manner with an additional discriminative term to ensure improved recognition performance. The dictionaries and the transformation matrices are jointly updated in an iterative manner. The applicability of the proposed approach is illustrated by evaluating its performance on different challenging tasks: face recognition across pose, illumination and resolution, heterogeneous face recognition and cross view action recognition. Extensive experiments on five datasets namely, CMU-PIE, Multi-PIE, ChokePoint, HFB and IXMAS datasets and comparisons with several state-of-the-art approaches show the effectiveness of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.

Damage assessment of composite plate structures with material and measurement uncertainty

Composite materials are very useful in structural engineering particularly in weight sensitive applications. Two different test models of the same structure made from composite materials can display very different dynamic behavior due to large uncertainties associated with composite material properties. Also, composite structures can suffer from pre-existing imperfections like delaminations, voids or cracks during fabrication. In this paper, we show that modeling and material uncertainties in composite structures can cause considerable problein in damage assessment. A recently developed C-0 shear deformable locking free refined composite plate element is employed in the numerical simulations to alleviate modeling uncertainty. A qualitative estimate of the impact of modeling uncertainty on the damage detection problem is made. A robust Fuzzy Logic System (FLS) with sliding window defuzzifier is used for delamination damage detection in composite plate type structures. The FLS is designed using variations in modal frequencies due to randomness in material properties. Probabilistic analysis is performed using Monte Carlo Simulation (MCS) on a composite plate finite element model. It is demonstrated that the FLS shows excellent robustness in delamination detection at very high levels of randomness in input data. (C) 2016 Elsevier Ltd. All rights reserved.

Low Resolution Face Recognition Across Variations in Pose and Illumination

We propose a completely automatic approach for recognizing low resolution face images captured in uncontrolled environment. The approach uses multidimensional scaling to learn a common transformation matrix for the entire face which simultaneously transforms the facial features of the low resolution and the high resolution training images such that the distance between them approximates the distance had both the images been captured under the same controlled imaging conditions. Stereo matching cost is used to obtain the similarity of two images in the transformed space. Though this gives very good recognition performance, the time taken for computing the stereo matching cost is significant. To overcome this limitation, we propose a reference-based approach in which each face image is represented by its stereo matching cost from a few reference images. Experimental evaluation on the real world challenging databases and comparison with the state-of-the-art super-resolution, classifier based and cross modal synthesis techniques show the effectiveness of the proposed algorithm.

The ensemble statistics of the band-averaged energy of a random system

This paper is concerned with the response statistics of a dynamic system that has random properties. The frequency-band-averaged energy of the system is considered, and a closed form expression is derived for the relative variance of this quantity. The expression depends upon three parameters: the modal overlap factor m, a bandwidth parameter B, and a parameter α that defines the nature of the loading (for example single point forcing or rain-on-the-roof loading). The result is applicable to any single structural component or acoustic volume, and a comparison is made here with simulation results for a mass loaded plate. Good agreement is found between the simulations and the theory. © 2003 Published by Elsevier Ltd.

Sound transmission in strongly-curved slowly-varying cylindrical and annular lined ducts with flow

In this paper we consider the propagation of acoustic waves along a curved hollow or annular duct with lined walls. The curvature of the duct centreline and the wall radii vary slowly along the duct, allowing application of an asymptotic multiple scales analysis. This generalises Rienstra's analysis of a straight duct of varying cross-sectional radius. The result of the analysis is that the modal wavenumbers and mode shapes are determined locally as modes of a torus with the same local curvature, while the amplitude of the modes evolves as the mode propagates along the duct. The duct modes are found numerically at each axial location using a pseudo-spectral method. Unlike the case of a straight duct, there is a fundamental asymmetry between upstream and downstream propagating modes, with some mode shapes tending to be concentrated on either the inside or outside of the bend depending on the direction of propagation. The interaction between the presence of wall lining and curvature is investigated in particular; for instance, in a representative case it is found that the curvature causes the first few acoustic modes to be more heavily damped by the duct boundary than would be expected for a straight duct. Analytical progress can be made in the limit of very high mode order, in which case well-known 'whispering gallery' modes, localised close to the wall, can be identified.

Crecimiento y desarrollo juvenil de cinco filiales de pitahaya (Hylocereus undatus Britt et Rose) a partir de semilla botánica

La presente investigación se realizó de febrero a noviembre de 1998, en los campos del Programa Recursos Genéticos Nicaragüenses (REGEN) adscrito a la UNA, ubicado en Managua. Se realizó con el objetivo de obtener y brindar información sobre el crecimiento y desarrollo juvenil de cinco híbridos de pitahaya (Hylocereus undatus) a partir de semilla botánica. El diseño utilizado fue un bifactorial completamente al azar (DCA). Se evaluaron 17 descriptores o variables, de las cuales siete fueron cuantitativas y diez cualitativas. A las variables cuantitativas se les realizó análisis de varianza (ANDEVA) y separación de medias de acuerdo a la prueba de rangos múltiples de Duncan al 5 %; y para las variables cualitativas se utilizó el valor modal en cada una de ellas, como valor predominante en su comportamiento. En general, el comportamiento de las variables cualitativas fue bastante similar entre cada una de ellas, sin embargo hubieron diferencias en cuanto a la germinación y el número de aristas intravainas, influenciados principalmente por el sustrato número dos, dado su alto contenido de materia orgánica. Respecto a las variables cuantitativas, la variable altura de planta o crecimiento presentó un comportamiento bastante similar entre los híbridos, superado ligeramente sólo por el híbrido dos fundamentalmente en la etapa final que resultó ser el mejor de ellos. En cuanto al número de aristas fue evidente que estuvo determinado por efectos genéticos, por cuanto predominaron los de cuatro aristas; finalmente en cuanto al peso fresco y seco el híbrido cinco presentó los mejores valores seguido del híbrido tres.

Instrumentos musicales Guane : música precolombina de Santander, Colombia

Resumen: Los hallazgos de instrumentos musicales en entierros y cuevas de Santanderhan permitido reconstruir algunas de las características del arte musical Guane. El grupo de artefactos estudiado esta compuesto porocho quenas de caña, una quena de hueso, una ocarina de cerámica, una ocarina de caña, una zampoña de hueso y unas maracas; estos instrumentos son la única evidenciaen existencia de la práctica musical Guane más allá de los escritos realizados por los cronistas españoles, por lo que han sido estudiados y consignados aún cuando algunos presentan un avanzado estado de deterioro. El estudio acústico y la observación realizada con la aprobación de las instituciones en las cuales reposan estos artefactos han permitido obtenerinformación acerca de la organología, las técnicas de construcción y organización modal de los instrumentos, con lo cual se diluyen las nociones de una cultura musical caótica para dar paso al encuentro de los sistemas sonoros específicos utilizados por esta comunidad prehispánica.

Lo patronal, lo estatal y lo parental en la autobiografía de Ankhtifi de Mo'alla

Resumen: Entre las principales contribuciones académicas de Alicia Daneri, sobresale un estudio monográfico sobre el Primer Período Intermedio (Las Dinastías VII-VIII y el período heracleopolitano en Egipto, 1992). Allí, la Autobiografía de Ankhtifi de Mo‘alla es considerada en el marco de un análisis de la crisis política y socioeconómica que la historiografía ha señalado como el rasgo distintivo de la época. Posteriormente, Jan Assmann (The mind of Egypt, 2002 [1996]) ha abordado esa misma autobiografía, para destacar la emergencia de un nuevo tipo de actor social durante tal período, interpretado en clave de patronazgo. Ciertamente, aquella escena política en crisis facilita la percepción de una lógica social ligada a las prácticas patronales. Sin embargo, tal cosa no implica que otras grandes lógicas de organización social como aquellas que corresponden al ámbito estatal y al del parentesco no continúen gravitando con fuerza. El propósito de este artículo es el de reconsiderar la Autobiografía de Ankhtifi en un intento por vislumbrar el alcance específico de lo patronal, lo estatal y lo parental en el texto, lo que a su vez permite una reflexión más amplia sobre las características de la organización social y política en el valle del Nilo durante el Primer Período Intermedio.

Estrategias de muestreo para la determinación de las propiedades hidráulicas del suelo en dos unidades cartográficas

Cuando se usan los mapas de suelos para estimar las propiedades hidráulicas del suelo, éstos presentan diversas limitaciones debidas a varios factores, entre los cuales podemos citar, la falta de información a cerca de su variabilidad espacial a escala detallada (finca). En estos casos se hace necesario el muestreo adicional de estas propiedades para obtener una mejor estimación de su variabilidad espacial de cara la planificación y ejecución del riego. Con el objetivo de conocer los requerimientos de muestreo de la conductividad hidráulica saturada y la sorptividad (el horizonte Ap y sobre la superficie del suelo) fueron muestreadas dos unidades cartográficas de suelos a escala 1:25000 del área de influencia del canal Segarra-Garrigues, en Cataluña (NE de España) a través de un muestreo anidado. Los semivariogramas muestran un patrón de variabilidad acorde al tamaño modal de las fincas del área (a nivel de serie) con manejo homogéneo de la superficie del suelo. La sorptividad es la propiedad menos afectada por este factor (manejo del suelo). La distancia optima de muestreo y el número de muestras necesarias para obtener un buen resultado en la estimación de la Ks en el horizonte Ap es impracticable en ambas unidades. Para el resto de las propiedades la distancia de muestreo está dentro del tamaño modal de las fincas (100 m). Únicamente se puede obtener una buena estimación de la Ks y la sorptividad en el orden de magnitud del logaritmo de los datos obtenidos con un número de muestras considerablemente baja.