Modeling Yield Surfaces of Various Structural Shapes

This study investigates the possibility of custom fitting a widely accepted approximate yield surface equation (Ziemian, 2000) to the theoretical yield surfaces of five different structural shapes, which include wide-flange, solid and hollow rectangular, and solid and hollow circular shapes. To achieve this goal, a theoretically “exact” but overly complex representation of the cross section’s yield surface was initially obtained by using fundamental principles of solid mechanics. A weighted regression analysis was performed with the “exact” yield surface data to obtain the specific coefficients of three terms in the approximate yield surface equation. These coefficients were calculated to determine the “best” yield surface equation for a given cross section geometry. Given that the exact yield surface shall have zero percentage of concavity, this investigation evaluated the resulting coefficient of determination (

Experimental and modeling study of the filtration and oxidation characteristics of a diesel oxidation catalyst and a catalyzed particulate filter

A diesel oxidation catalyst (DOC) with a catalyzed diesel particulate filter (CPF) is an effective exhaust aftertreatment device that reduces particulate emissions from diesel engines, and properly designed DOC-CPF systems provide passive regeneration of the filter by the oxidation of PM via thermal and NO2/temperature-assisted means under various vehicle duty cycles. However, controlling the backpressure on engines caused by the addition of the CPF to the exhaust system requires a good understanding of the filtration and oxidation processes taking place inside the filter as the deposition and oxidation of solid particulate matter (PM) change as functions of loading time. In order to understand the solid PM loading characteristics in the CPF, an experimental and modeling study was conducted using emissions data measured from the exhaust of a John Deere 6.8 liter, turbocharged and after-cooled engine with a low-pressure loop EGR system and a DOC-CPF system (or a CCRT® - Catalyzed Continuously Regenerating Trap®, as named by Johnson Matthey) in the exhaust system. A series of experiments were conducted to evaluate the performance of the DOC-only, CPF-only and DOC-CPF configurations at two engine speeds (2200 and 1650 rpm) and various loads on the engine ranging from 5 to 100% of maximum torque at both speeds. Pressure drop across the DOC and CPF, mass deposited in the CPF at the end of loading, upstream and downstream gaseous and particulate emissions, and particle size distributions were measured at different times during the experiments to characterize the pressure drop and filtration efficiency of the DOCCPF system as functions of loading time. Pressure drop characteristics measured experimentally across the DOC-CPF system showed a distinct deep-bed filtration region characterized by a non-linear pressure drop rise, followed by a transition region, and then by a cake-filtration region with steadily increasing pressure drop with loading time at engine load cases with CPF inlet temperatures less than 325 °C. At the engine load cases with CPF inlet temperatures greater than 360 °C, the deep-bed filtration region had a steep rise in pressure drop followed by a decrease in pressure drop (due to wall PM oxidation) in the cake filtration region. Filtration efficiencies observed during PM cake filtration were greater than 90% in all engine load cases. Two computer models, i.e., the MTU 1-D DOC model and the MTU 1-D 2-layer CPF model were developed and/or improved from existing models as part of this research and calibrated using the data obtained from these experiments. The 1-D DOC model employs a three-way catalytic reaction scheme for CO, HC and NO oxidation, and is used to predict CO, HC, NO and NO2 concentrations downstream of the DOC. Calibration results from the 1-D DOC model to experimental data at 2200 and 1650 rpm are presented. The 1-D 2-layer CPF model uses a ‘2-filters in series approach’ for filtration, PM deposition and oxidation in the PM cake and substrate wall via thermal (O2) and NO2/temperature-assisted mechanisms, and production of NO2 as the exhaust gas mixture passes through the CPF catalyst washcoat. Calibration results from the 1-D 2-layer CPF model to experimental data at 2200 rpm are presented. Comparisons of filtration and oxidation behavior of the CPF at sample load-cases in both configurations are also presented. The input parameters and selected results are also compared with a similar research work with an earlier version of the CCRT®, to compare and explain differences in the fundamental behavior of the CCRT® used in these two research studies. An analysis of the results from the calibrated CPF model suggests that pressure drop across the CPF depends mainly on PM loading and oxidation in the substrate wall, and also that the substrate wall initiates PM filtration and helps in forming a PM cake layer on the wall. After formation of the PM cake layer of about 1-2 µm on the wall, the PM cake becomes the primary filter and performs 98-99% of PM filtration. In all load cases, most of PM mass deposited was in the PM cake layer, and PM oxidation in the PM cake layer accounted for 95-99% of total PM mass oxidized during loading. Overall PM oxidation efficiency of the DOC-CPF device increased with increasing CPF inlet temperatures and NO2 flow rates, and was higher in the CCRT® configuration compared to the CPF-only configuration due to higher CPF inlet NO2 concentrations. Filtration efficiencies greater than 90% were observed within 90-100 minutes of loading time (starting with a clean filter) in all load cases, due to the fact that the PM cake on the substrate wall forms a very efficient filter. A good strategy for maintaining high filtration efficiency and low pressure drop of the device while performing active regeneration would be to clean the PM cake filter partially (i.e., by retaining a cake layer of 1-2 µm thickness on the substrate wall) and to completely oxidize the PM deposited in the substrate wall. The data presented support this strategy.

TIME SERIES ANALYSIS AS INPUT FOR PREDICTIVE MODELING: PREDICTING CARDIAC ARREST IN A PEDIATRIC INTENSIVE CARE UNIT

The first manuscript, entitled "Time-Series Analysis as Input for Clinical Predictive Modeling: Modeling Cardiac Arrest in a Pediatric ICU" lays out the theoretical background for the project. There are several core concepts presented in this paper. First, traditional multivariate models (where each variable is represented by only one value) provide single point-in-time snapshots of patient status: they are incapable of characterizing deterioration. Since deterioration is consistently identified as a precursor to cardiac arrests, we maintain that the traditional multivariate paradigm is insufficient for predicting arrests. We identify time series analysis as a method capable of characterizing deterioration in an objective, mathematical fashion, and describe how to build a general foundation for predictive modeling using time series analysis results as latent variables. Building a solid foundation for any given modeling task involves addressing a number of issues during the design phase. These include selecting the proper candidate features on which to base the model, and selecting the most appropriate tool to measure them. We also identified several unique design issues that are introduced when time series data elements are added to the set of candidate features. One such issue is in defining the duration and resolution of time series elements required to sufficiently characterize the time series phenomena being considered as candidate features for the predictive model. Once the duration and resolution are established, there must also be explicit mathematical or statistical operations that produce the time series analysis result to be used as a latent candidate feature. In synthesizing the comprehensive framework for building a predictive model based on time series data elements, we identified at least four classes of data that can be used in the model design. The first two classes are shared with traditional multivariate models: multivariate data and clinical latent features. Multivariate data is represented by the standard one value per variable paradigm and is widely employed in a host of clinical models and tools. These are often represented by a number present in a given cell of a table. Clinical latent features derived, rather than directly measured, data elements that more accurately represent a particular clinical phenomenon than any of the directly measured data elements in isolation. The second two classes are unique to the time series data elements. The first of these is the raw data elements. These are represented by multiple values per variable, and constitute the measured observations that are typically available to end users when they review time series data. These are often represented as dots on a graph. The final class of data results from performing time series analysis. This class of data represents the fundamental concept on which our hypothesis is based. The specific statistical or mathematical operations are up to the modeler to determine, but we generally recommend that a variety of analyses be performed in order to maximize the likelihood that a representation of the time series data elements is produced that is able to distinguish between two or more classes of outcomes. The second manuscript, entitled "Building Clinical Prediction Models Using Time Series Data: Modeling Cardiac Arrest in a Pediatric ICU" provides a detailed description, start to finish, of the methods required to prepare the data, build, and validate a predictive model that uses the time series data elements determined in the first paper. One of the fundamental tenets of the second paper is that manual implementations of time series based models are unfeasible due to the relatively large number of data elements and the complexity of preprocessing that must occur before data can be presented to the model. Each of the seventeen steps is analyzed from the perspective of how it may be automated, when necessary. We identify the general objectives and available strategies of each of the steps, and we present our rationale for choosing a specific strategy for each step in the case of predicting cardiac arrest in a pediatric intensive care unit. Another issue brought to light by the second paper is that the individual steps required to use time series data for predictive modeling are more numerous and more complex than those used for modeling with traditional multivariate data. Even after complexities attributable to the design phase (addressed in our first paper) have been accounted for, the management and manipulation of the time series elements (the preprocessing steps in particular) are issues that are not present in a traditional multivariate modeling paradigm. In our methods, we present the issues that arise from the time series data elements: defining a reference time; imputing and reducing time series data in order to conform to a predefined structure that was specified during the design phase; and normalizing variable families rather than individual variable instances. The final manuscript, entitled: "Using Time-Series Analysis to Predict Cardiac Arrest in a Pediatric Intensive Care Unit" presents the results that were obtained by applying the theoretical construct and its associated methods (detailed in the first two papers) to the case of cardiac arrest prediction in a pediatric intensive care unit. Our results showed that utilizing the trend analysis from the time series data elements reduced the number of classification errors by 73%. The area under the Receiver Operating Characteristic curve increased from a baseline of 87% to 98% by including the trend analysis. In addition to the performance measures, we were also able to demonstrate that adding raw time series data elements without their associated trend analyses improved classification accuracy as compared to the baseline multivariate model, but diminished classification accuracy as compared to when just the trend analysis features were added (ie, without adding the raw time series data elements). We believe this phenomenon was largely attributable to overfitting, which is known to increase as the ratio of candidate features to class examples rises. Furthermore, although we employed several feature reduction strategies to counteract the overfitting problem, they failed to improve the performance beyond that which was achieved by exclusion of the raw time series elements. Finally, our data demonstrated that pulse oximetry and systolic blood pressure readings tend to start diminishing about 10-20 minutes before an arrest, whereas heart rates tend to diminish rapidly less than 5 minutes before an arrest.

High-resolution in situ oxygen microprofiles, porewater and solid phase geochemistry from the Crimean shelf (Black Sea) from Maria S. Merian cruise MSM15/1

The outer western Crimean shelf of the Black Sea is a natural laboratory to investigate effects of stable oxic versus varying hypoxic conditions on seafloor biogeochemical processes and benthic community structure. Bottom-water oxygen concentrations ranged from normoxic (175 µmol O2/L) and hypoxic (< 63 µmol O2/L) or even anoxic/sulfidic conditions within a few kilometers' distance. Variations in oxygen concentrations between 160 and 10 µmol/L even occurred within hours close to the chemocline at 134 m water depth. Total oxygen uptake, including diffusive as well as fauna-mediated oxygen consumption, decreased from 15 mmol/m**2/d on average in the oxic zone, to 7 mmol/m**2/d on average in the hypoxic zone, correlating with changes in macrobenthos composition. Benthic diffusive oxygen uptake rates, comprising respiration of microorganisms and small meiofauna, were similar in oxic and hypoxic zones (on average 4.5 mmol/m**2/d), but declined to 1.3 mmol/m**2/d in bottom waters with oxygen concentrations below 20 µmol/L. Measurements and modeling of porewater profiles indicated that reoxidation of reduced compounds played only a minor role in diffusive oxygen uptake under the different oxygen conditions, leaving the major fraction to aerobic degradation of organic carbon. Remineralization efficiency decreased from nearly 100 % in the oxic zone, to 50 % in the oxic-hypoxic zone, to 10 % in the hypoxic-anoxic zone. Overall, the faunal remineralization rate was more important, but also more influenced by fluctuating oxygen concentrations, than microbial and geochemical oxidation processes.

Modeling of the Division Point of Different Propagation Mechanisms in the Near-Region Within Arched Tunnels

An accurate characterization of the near-region propagation of radio waves inside tunnels is of practical importance for the design and planning of advanced communication systems. However, there has been no consensus yet on the propagation mechanism in this region. Some authors claim that the propagation mechanism follows the free space model, others intend to interpret it by the multi-mode waveguide model. This paper clarifies the situation in the near-region of arched tunnels by analytical modeling of the division point between the two propagation mechanisms. The procedure is based on the combination of the propagation theory and the three-dimensional solid geometry. Three groups of measurements are employed to verify the model in different tunnels at different frequencies. Furthermore, simplified models for the division point in five specific application situations are derived to facilitate the use of the model. The results in this paper could help to deepen the insight into the propagation mechanism within tunnel environments.

Characterization cement pastes degraded in lanoratory solutions and physiochemical parameters employed for modeling the process

Previously degradation studies carried out, over a number of different mortars by the research team, have shown that observed degradation does not exclusively depend on the solution equilibrium pH, nor the aggressive anions relative solubility. In our tests no reason was found that could allow us to explain, why same solubility anions with a lower pH are less aggressive than others. The aim of this paper is to study cement pastes behavior in aggressive environments. As observed in previous research, this cement pastes behaviors are not easily explained only taking into account only usual parameters, pH, solubility etc. Consequently the paper is about studying if solution physicochemical characteristics are more important in certain environments than specific pH values. The paper tries to obtain a degradation model, which starting from solution physicochemical parameters allows us to interpret the different behaviors shown by different composition cements. To that end, the rates of degradation of the solid phases were computed for each considered environment. Three cement have been studied: CEM I 42.5R/SR, CEM II/A-V 42.5R and CEM IV/B-(P-V) 32.5 N. The pastes have been exposed to five environments: sodium acetate/acetic acid 0.35 M, sodium sulfate solution 0.17 M, a solution representing natural water, saturated calcium hydroxide solution and laboratory environment. The attack mechanism was meant to be unidirectional, in order to achieve so; all sides of cylinders were sealed except from the attacked surface. The cylinders were taking out of the exposition environments after 2, 4, 7, 14, 30, 58 and 90 days. Both aggressive solution variations in solid phases and in different depths have been characterized. To each age and depth the calcium, magnesium and iron contents have been analyzed. Hydrated phases evolution studied, using thermal analysis, and crystalline compound changes, using X ray diffraction have been also analyzed. Sodium sulphate and water solutions stabilize an outer pH near to 8 in short time, however the stability of the most pH dependent phases is not the same. Although having similar pH and existing the possibility of forming a plaster layer near to the calcium leaching surface, this stability is greater than other sulphate solutions. Stability variations of solids formed by inverse diffusion, determine the rate of degradation.

Propagation Mechanism modeling in the Near-Region of Arbitrary Cross-Sectional Tunnels.

Along with the increase of the use of working frequencies in advanced radio communication systems, the near-region inside tunnels lengthens considerably and even occupies the whole propagation cell or the entire length of some short tunnels. This paper analytically models the propagation mechanisms and their dividing point in the near-region of arbitrary cross-sectional tunnels for the first time. To begin with, the propagation losses owing to the free space mechanism and the multimode waveguide mechanism are modeled, respectively. Then, by conjunctively employing the propagation theory and the three-dimensional solid geometry, the paper presents a general model for the dividing point between two propagation mechanisms. It is worthy to mention that this model can be applied in arbitrary cross-sectional tunnels. Furthermore, the general dividing point model is specified in rectangular, circular, and arched tunnels, respectively. Five groups of measurements are used to justify the model in different tunnels at different frequencies. Finally, in order to facilitate the use of the model, simplified analytical solutions for the dividing point in five specific application situations are derived. The results in this paper could help deepen the insight into the propagation mechanisms in tunnels.

Mathematical and Numerical Modeling in Maritime Geomechanics

A theoretical and numerical framework to model the foundation of marine offshore structures is presented. The theoretical model is composed by a system of partial differential equations describing coupling between seabed solid skeleton and pore fluids (water, air, oil,…) combined with a system of ordinary differential equations describing the specific constitutive relation of the seabed soil skeleton. Once the theoretical model is described, the finite element numerical procedure to achieve an approximate solution of the governing equations is outlined. In order to validate the proposed theoretical and numerical framework the seaward tilt mechanism induced by the action of breaking waves over a vertical breakwater is numerically reproduced. The results numerically attained are in agreement with the main conclusions drawn from the literature associated with this failure mechanism

Multiple Input-Output Bidirectional Solid State Transformer Based on a Series Resonant Converter

Las fuentes de alimentación de modo conmutado (SMPS en sus siglas en inglés) se utilizan ampliamente en una gran variedad de aplicaciones. La tarea más difícil para los diseñadores de SMPS consiste en lograr simultáneamente la operación del convertidor con alto rendimiento y alta densidad de energía. El tamaño y el peso de un convertidor de potencia está dominado por los componentes pasivos, ya que estos elementos son normalmente más grandes y más pesados que otros elementos en el circuito. Para una potencia de salida dada, la cantidad de energía almacenada en el convertidor que ha de ser entregada a la carga en cada ciclo de conmutación, es inversamente proporcional a la frecuencia de conmutación del convertidor. Por lo tanto, el aumento de la frecuencia de conmutación se considera un medio para lograr soluciones más compactas con los niveles de densidad de potencia más altos. La importancia de investigar en el rango de alta frecuencia de conmutación radica en todos los beneficios que se pueden lograr: además de la reducción en el tamaño de los componentes pasivos, el aumento de la frecuencia de conmutación puede mejorar significativamente prestaciones dinámicas de convertidores de potencia. Almacenamiento de energía pequeña y el período de conmutación corto conducen a una respuesta transitoria del convertidor más rápida en presencia de las variaciones de la tensión de entrada o de la carga. Las limitaciones más importantes del incremento de la frecuencia de conmutación se relacionan con mayores pérdidas del núcleo magnético convencional, así como las pérdidas de los devanados debido a los efectos pelicular y proximidad. También, un problema potencial es el aumento de los efectos de los elementos parásitos de los componentes magnéticos - inductancia de dispersión y la capacidad entre los devanados - que causan pérdidas adicionales debido a las corrientes no deseadas. Otro factor limitante supone el incremento de las pérdidas de conmutación y el aumento de la influencia de los elementos parásitos (pistas de circuitos impresos, interconexiones y empaquetado) en el comportamiento del circuito. El uso de topologías resonantes puede abordar estos problemas mediante el uso de las técnicas de conmutaciones suaves para reducir las pérdidas de conmutación incorporando los parásitos en los elementos del circuito. Sin embargo, las mejoras de rendimiento se reducen significativamente debido a las corrientes circulantes cuando el convertidor opera fuera de las condiciones de funcionamiento nominales. A medida que la tensión de entrada o la carga cambian las corrientes circulantes incrementan en comparación con aquellos en condiciones de funcionamiento nominales. Se pueden obtener muchos beneficios potenciales de la operación de convertidores resonantes a más alta frecuencia si se emplean en aplicaciones con condiciones de tensión de entrada favorables como las que se encuentran en las arquitecturas de potencia distribuidas. La regulación de la carga y en particular la regulación de la tensión de entrada reducen tanto la densidad de potencia del convertidor como el rendimiento. Debido a la relativamente constante tensión de bus que se encuentra en arquitecturas de potencia distribuidas los convertidores resonantes son adecuados para el uso en convertidores de tipo bus (transformadores cc/cc de estado sólido). En el mercado ya están disponibles productos comerciales de transformadores cc/cc de dos puertos que tienen muy alta densidad de potencia y alto rendimiento se basan en convertidor resonante serie que opera justo en la frecuencia de resonancia y en el orden de los megahercios. Sin embargo, las mejoras futuras en el rendimiento de las arquitecturas de potencia se esperan que vengan del uso de dos o más buses de distribución de baja tensión en vez de una sola. Teniendo eso en cuenta, el objetivo principal de esta tesis es aplicar el concepto del convertidor resonante serie que funciona en su punto óptimo en un nuevo transformador cc/cc bidireccional de puertos múltiples para atender las necesidades futuras de las arquitecturas de potencia. El nuevo transformador cc/cc bidireccional de puertos múltiples se basa en la topología de convertidor resonante serie y reduce a sólo uno el número de componentes magnéticos. Conmutaciones suaves de los interruptores hacen que sea posible la operación en las altas frecuencias de conmutación para alcanzar altas densidades de potencia. Los problemas posibles con respecto a inductancias parásitas se eliminan, ya que se absorben en los Resumen elementos del circuito. El convertidor se caracteriza con una muy buena regulación de la carga propia y cruzada debido a sus pequeñas impedancias de salida intrínsecas. El transformador cc/cc de puertos múltiples opera a una frecuencia de conmutación fija y sin regulación de la tensión de entrada. En esta tesis se analiza de forma teórica y en profundidad el funcionamiento y el diseño de la topología y del transformador, modelándolos en detalle para poder optimizar su diseño. Los resultados experimentales obtenidos se corresponden con gran exactitud a aquellos proporcionados por los modelos. El efecto de los elementos parásitos son críticos y afectan a diferentes aspectos del convertidor, regulación de la tensión de salida, pérdidas de conducción, regulación cruzada, etc. También se obtienen los criterios de diseño para seleccionar los valores de los condensadores de resonancia para lograr diferentes objetivos de diseño, tales como pérdidas de conducción mínimas, la eliminación de la regulación cruzada o conmutación en apagado con corriente cero en plena carga de todos los puentes secundarios. Las conmutaciones en encendido con tensión cero en todos los interruptores se consiguen ajustando el entrehierro para obtener una inductancia magnetizante finita en el transformador. Se propone, además, un cambio en los señales de disparo para conseguir que la operación con conmutaciones en apagado con corriente cero de todos los puentes secundarios sea independiente de la variación de la carga y de las tolerancias de los condensadores resonantes. La viabilidad de la topología propuesta se verifica a través una extensa tarea de simulación y el trabajo experimental. La optimización del diseño del transformador de alta frecuencia también se aborda en este trabajo, ya que es el componente más voluminoso en el convertidor. El impacto de de la duración del tiempo muerto y el tamaño del entrehierro en el rendimiento del convertidor se analizan en un ejemplo de diseño de transformador cc/cc de tres puertos y cientos de vatios de potencia. En la parte final de esta investigación se considera la implementación y el análisis de las prestaciones de un transformador cc/cc de cuatro puertos para una aplicación de muy baja tensión y de decenas de vatios de potencia, y sin requisitos de aislamiento. Abstract Recently, switch mode power supplies (SMPS) have been used in a great variety of applications. The most challenging issue for designers of SMPS is to achieve simultaneously high efficiency operation at high power density. The size and weight of a power converter is dominated by the passive components since these elements are normally larger and heavier than other elements in the circuit. If the output power is constant, the stored amount of energy in the converter which is to be delivered to the load in each switching cycle is inversely proportional to the converter’s switching frequency. Therefore, increasing the switching frequency is considered a mean to achieve more compact solutions at higher power density levels. The importance of investigation in high switching frequency range comes from all the benefits that can be achieved. Besides the reduction in size of passive components, increasing switching frequency can significantly improve dynamic performances of power converters. Small energy storage and short switching period lead to faster transient response of the converter against the input voltage and load variations. The most important limitations for pushing up the switching frequency are related to increased conventional magnetic core loss as well as the winding loss due to the skin and proximity effect. A potential problem is also increased magnetic parasitics – leakage inductance and capacitance between the windings – that cause additional loss due to unwanted currents. Higher switching loss and the increased influence of printed circuit boards, interconnections and packaging on circuit behavior is another limiting factor. Resonant power conversion can address these problems by using soft switching techniques to reduce switching loss incorporating the parasitics into the circuit elements. However the performance gains are significantly reduced due to the circulating currents when the converter operates out of the nominal operating conditions. As the input voltage or the load change the circulating currents become higher comparing to those ones at nominal operating conditions. Multiple Input-Output Many potential gains from operating resonant converters at higher switching frequency can be obtained if they are employed in applications with favorable input voltage conditions such as those found in distributed power architectures. Load and particularly input voltage regulation reduce a converter’s power density and efficiency. Due to a relatively constant bus voltage in distributed power architectures the resonant converters are suitable for bus voltage conversion (dc/dc or solid state transformation). Unregulated two port dc/dc transformer products achieving very high power density and efficiency figures are based on series resonant converter operating just at the resonant frequency and operating in the megahertz range are already available in the market. However, further efficiency improvements of power architectures are expected to come from using two or more separate low voltage distribution buses instead of a single one. The principal objective of this dissertation is to implement the concept of the series resonant converter operating at its optimum point into a novel bidirectional multiple port dc/dc transformer to address the future needs of power architectures. The new multiple port dc/dc transformer is based on a series resonant converter topology and reduces to only one the number of magnetic components. Soft switching commutations make possible high switching frequencies to be adopted and high power densities to be achieved. Possible problems regarding stray inductances are eliminated since they are absorbed into the circuit elements. The converter features very good inherent load and cross regulation due to the small output impedances. The proposed multiple port dc/dc transformer operates at fixed switching frequency without line regulation. Extensive theoretical analysis of the topology and modeling in details are provided in order to compare with the experimental results. The relationships that show how the output voltage regulation and conduction losses are affected by the circuit parasitics are derived. The methods to select the resonant capacitor values to achieve different design goals such as minimum conduction losses, elimination of cross regulation or ZCS operation at full load of all the secondary side bridges are discussed. ZVS turn-on of all the switches is achieved by relying on the finite magnetizing inductance of the Abstract transformer. A change of the driving pattern is proposed to achieve ZCS operation of all the secondary side bridges independent on load variations or resonant capacitor tolerances. The feasibility of the proposed topology is verified through extensive simulation and experimental work. The optimization of the high frequency transformer design is also addressed in this work since it is the most bulky component in the converter. The impact of dead time interval and the gap size on the overall converter efficiency is analyzed on the design example of the three port dc/dc transformer of several hundreds of watts of the output power for high voltage applications. The final part of this research considers the implementation and performance analysis of the four port dc/dc transformer in a low voltage application of tens of watts of the output power and without isolation requirements.

Some examples of modeling in chemical engineering: thermal treatment of polymers, phase equilibrium calculations and process design

Presentation submitted to PSE Seminar, Chemical Engineering Department, Center for Advanced Process Design-making (CAPD), Carnegie Mellon University, Pittsburgh (USA), October 2012.

Dispersivity Determination Through a Modeling Approach From a Tracer Test Based on Total Br Concentration in Soil Samples

Determination of reliable solute transport parameters is an essential aspect for the characterization of the mechanisms and processes involved in solute transport (e.g., pesticides, fertilizers, contaminants) through the unsaturated zone. A rapid inexpensive method to estimate the dispersivity parameter at the field scale is presented herein. It is based on the quantification by the X-ray fluorescence solid-state technique of total bromine in soil, along with an inverse numerical modeling approach. The results show that this methodology is a good alternative to the classic Br− determination in soil water by ion chromatography. A good agreement between the observed and simulated total soil Br is reported. The results highlight the potential applicability of both combined techniques to infer readily solute transport parameters under field conditions.

Characterization of the Structure and Dynamics of Biomimetic Peptides by Solid-State NMR

Thesis (Ph.D.)--University of Washington, 2016-05

Modeling of hardening and softening processes in Mg alloys

The tensile deformation behavior of a range of supersaturated Mg-Al solid solutions and an as-cast magnesium alloy AM60 has been studied. The Mg-Al alloys were tested at room temperature while the alloy AM60 was tested in the temperature range 293-573 K. The differences in the deformation behavior of the alloys is discussed in terms of hardening and softening processes. In order to identify which processes were active, the stress dependence of the strain-hardening coefficient was assessed using Lukac and Balik's model of hardening and softening. The analysis indicates that hardening involves solid solution hardening and interaction with forest dislocations and non-dislocation obstacles such as second phase particles. Cross slip is not a significant recovery process in the temperature range 293-423 K. At temperatures between 473 and 523 K the analysis suggests that softening is controlled by cross slip and climb of dislocations. At temperatures above 523 K softening seems to be controlled by dynamic recrystallisation. (C) 2004 Elsevier B.V. All rights reserved.

Modeling molecular transport in slit pores

We examine the transport of methane in microporous carbon by performing equilibrium and nonequilibrium molecular dynamics simulations over a range of pore sizes, densities, and temperatures. We interpret these simulation results using two models of the transport process. At low densities, we consider a molecular flow model, in which intermolecular interactions are neglected, and find excellent agreement between transport diffusion coefficients determined from simulation, and those predicted by the model. Simulation results indicate that the model can be applied up to fluid densities of the order to 0.1-1 nm(-3). Above these densities, we consider a slip flow model, combining hydrodynamic theory with a slip condition at the solid-fluid interface. As the diffusion coefficient at low densities can be accurately determined by the molecular flow model, we also consider a model where the slip condition is supplied by the molecular flow model. We find that both density-dependent models provide a useful means of estimating the transport coefficient that compares well with simulation. (C) 2004 American Institute of Physics.