A Mathematical Model for Simplifying Representations of Objects in a Geographic Information System

The study of operations on representations of objects is well documented in the realm of spatial engineering. However, the mathematical structure and formal proof of these operational phenomena are not thoroughly explored. Other works have often focused on query-based models that seek to order classes and instances of objects in the form of semantic hierarchies or graphs. In some models, nodes of graphs represent objects and are connected by edges that represent different types of coarsening operators. This work, however, studies how the coarsening operator "simplification" can manipulate partitions of finite sets, independent from objects and their attributes. Partitions that are "simplified first have a collection of elements filtered (removed), and then the remaining partition is amalgamated (some sub-collections are unified). Simplification has many interesting mathematical properties. A finite composition of simplifications can also be accomplished with some single simplification. Also, if one partition is a simplification of the other, the simplified partition is defined to be less than the other partition according to the simp relation. This relation is shown to be a partial-order relation based on simplification. Collections of partitions can not only be proven to have a partial- order structure, but also have a lattice structure and are complete. In regard to a geographic information system (GIs), partitions related to subsets of attribute domains for objects are called views. Objects belong to different views based whether or not their attribute values lie in the underlying view domain. Given a particular view, objects with their attribute n-tuple codings contained in the view are part of the actualization set on views, and objects are labeled according to the particular subset of the view in which their coding lies. Though the scope of the work does not mainly focus on queries related directly to geographic objects, it provides verification for the existence of particular views in a system with this underlying structure. Given a finite attribute domain, one can say with mathematical certainty that different views of objects are partially ordered by simplification, and every collection of views has a greatest lower bound and least upper bound, which provides the validity for exploring queries in this regard.

Age models of sediment cores from the Southern Ocean

Recent geochemical models invoke ocean alkalinity changes, particularly in the surface Southern Ocean, to explain glacial age pCO2 reduction. In such models, alkalinity increases in glacial periods are driven by reductions in North Atlantic Deep Water (NADW) supply, which lead to increases in deep-water nutrients and dissolution of carbonate sediments, and to increased alkalinity of Circumpolar Deep Water upwelling in the surface Southern Ocean. We use cores from the Southeast Indian Ridge and from the deep Cape Basin in the South Atlantic to show that carbonate dissolution was enhanced during glacial stages in areas now bathed by Circumpolar Deep Water. This suggests that deep Southern Ocean carbonate ion concentrations were lower in glacial stages than in interglacials, rather than higher as suggested by the polar alkalinity model [Broecker and Peng, 1989, doi:10.1029/GB001i001p00015]. Our observations show that changes in Southern Ocean CaCO3 preservation are coherent with changes in the relative flux of NADW, suggesting that Southern Ocean carbonate chemistry is closely linked to changes in deepwater circulation. The pattern of enhanced dissolution in glacials is consistent with a reduction in the supply of nutrient-depleted water (NADW) to the Southern Ocean and with an increase of nutrients in deep water masses. Carbonate mass accumulation rates on the Southeast Indian Ridge (3200-3800 m), and in relatively shallow cores (<3000 m) from the Kerguelen Plateau and the South Pacific were significantly reduced during glacial stages, by about 50%. The reduced carbonate mass accumulation rates and enhanced dissolution during glacials may be partly due to decreases in CaCO3:Corg flux ratios, acting as another mechanism which would raise the alkalinity of Southern Ocean surface waters. The polar alkalinity model assumes that the ratio of organic carbon to carbonate production on surface alkalinity is constant. Even if overall productivity in the Southern Ocean were held constant, a decrease in the CaCO3:Corg ratio would result in increased alkalinity and reduced pCO2 in Southern Ocean surface waters during glacials. This ecologically driven surface alkalinity change may enhance deepwater-mediated changes in alkalinity, and amplify rapid changes in pCO2.

Residuos orgánicos como fuentes de fósforo

En este trabajo, se han llevado a cabo distintos experimentos en laboratorio, con el objetivo de estudiar el efecto de la aplicación de residuos orgánicos como fuentes de P en las pérdidas de este elemento, que se producen en suelo, tanto por escorrentía superficial como por lixiviación. El interés por evaluar las pérdidas de P se debe a la necesidad de conocer mejor los factores que influyen en los procesos de pérdidas de este elemento y así, poder reducir los problemas de eutrofización de aguas, tanto superficiales como subterráneas, provocadas por un exceso de este nutriente, junto con otros como el nitrógeno. Los trabajos experimentales que se han llevado a cabo se detallan a continuación: Se ha realizado el estudio de las formas de P contenidas en una serie de 14 residuos orgánicos, de distinto origen y tratamiento (compost, lodos, purines y digestato), comparando la información aportada por tres protocolos de fraccionamientos de P diferentes, seleccionados entre los principales métodos utilizados: protocolo de fraccionamiento de Ruttemberg (1992), protocolo de Normas, medidas y ensayos (Ruban et al., 2001a) y protocolo de Huang et al. (2008). Todos los métodos de fraccionamiento empleados aportaron información útil para conocer las formas de P de los residuos, a pesar de que alguno de ellos fue descrito para sedimentos o suelos. Sin embargo, resulta difícil comparar los resultados entre unos y otros, ya que cada uno emplea extractantes y tiempos de ensayos diferentes. Las cantidades de P total determinadas por cada método mantienen una relación lineal, aunque el método SMT, por ser más directo, obtiene las cantidades más elevadas para todos los residuos. Los métodos secuenciales (métodos de Huang y Ruttemberg), a pesar de ser más largos y tediosos, aportan información más detallada de la disponibilidad de las formas de P, y con ello, permiten obtener una mejor estimación de las pérdidas potenciales de este elemento tras su aplicación en suelo. Se han encontrado relaciones positivas entre las fracciones determinadas por estos dos métodos. Así mismo, se encuentra una correlación entre las formas solubles de P y la concentración de los iones [Ca + Fe + Al] de los residuos, útiles como indicadores de la disponibilidad de este elemento. Sin embargo, el protocolo SMT, no obtiene información de la solubilidad o disponibilidad de las formas de P contenidas, ni las formas determinadas mantienen relaciones directas con las de los otros métodos, con excepción del P total. Para el estudio del comportamiento de los residuos aplicados en suelos, se pusieron a punto sistemas de lluvia simulada, con el objetivo de caracterizar las pérdidas de P en la escorrentía superficial generada. Por otra parte, se emplearon columnas de suelos enmendados con residuos orgánicos, para el estudio de las pérdidas de P por lixiviación. Los ensayos de simulación de lluvia se llevaron a cabo de acuerdo al “National Phosphorus Research proyect“ (2001), que consigue simular eventos sucesivos de lluvia en unas condiciones semejantes a la realidad, empleando cajas llenas de suelo del horizonte superficial, con residuos aplicados tanto superficialmente como mediante mezcla con el propio suelo. Los ensayos se realizaron con seis residuos de diferente naturaleza y sometidos a distintos tratamientos. Se encontraron diferencias significativas en las pérdidas de las formas de P analizadas, tanto disueltas como particuladas, en las aguas de escorrentía generadas. En general, las pérdidas en el primer evento de lluvia tras la aplicación de los residuos fueron mayores a las generadas en el segundo evento, predominando las formas de P particuladas respecto a las disueltas en ambos. Se encontró una relación positiva entre las pérdidas de P en las aguas de escorrentía generadas en cada ensayo, con los contenidos de P soluble en agua y fácilmente disponible de los residuos empleados, determinados por los protocolos de fraccionamientos secuenciales. Además, se emplearon los modelos matemáticos desarrollados por Vadas et al. (2005, 2007), de evaluación de las pérdidas de P por escorrentía para fertilizantes y estiércoles. La predicción de estos modelos no se cumple en el caso de todos los residuos. Las distintas propiedades físicas de los residuos pueden afectar a las diferencias entre las pérdidas experimentales y las esperadas. Los ensayos de simulación del proceso de lixiviación se llevaron a cabo en columnas de percolación, con suelos enmendados con residuos orgánicos, de acuerdo a la norma “CEN/TS 14405–2004: Caracterización de los residuos – Test de comportamiento de lixiviación – Test de flujo ascendente”. Las pérdidas de P por procesos de lixiviación de agua, han sido despreciadas durante mucho tiempo respecto a las pérdidas por escorrentía. Sin embargo, se ha demostrado que deben tenerse en consideración, principalmente en algunos tipos de suelos o zonas cercanas a acuíferos. Se utilizaron tres suelos de distinta procedencia para los ensayos, de manera que se pudo estudiar la influencia del tipo de suelo en las pérdidas de P para cada tipo de residuo (purín, compost, digestato y lodo de EDAR). Los índices de adsorción de P determinados para cada suelo permiten evaluar aquellos que presentarán más riesgo de producir pérdidas de este elemento al aplicarse fuentes externas de P, encontrando una relación positiva entre ambos. Las pérdidas de P en los lixiviados varían en función tanto del residuo como del suelo empleado. Para el compost, el purín y el lodo, se encontró una relación entre las pérdidas generadas en el agua lixiviada de las columnas y las formas de P soluble contenidas en los residuos. Sin embargo, en el caso del digestato, no existía esta correlación. Las pérdidas para este residuo fueron en todos los casos menores a las estimadas, considerando las formas de P contenido. El estudio de la mojabilidad, propiedad física del residuo que evalúa la capacidad de interacción residuo-agua, permitió explicar el comportamiento anómalo de este residuo, con una mayor resistencia a que el agua entrara en su estructura y por tanto, una mayor dificultad de solubilizar el P contenido en el propio residuo, que en el caso de otros residuos. En general, podemos considerar que el estudio de las formas de P más disponibles o solubles en agua, aporta información útil de las pérdidas potenciales de P. Sin embargo, es necesario estudiar las propiedades físicas de los residuos orgánicos aplicados y la capacidad de adsorción de P de los suelos, para estimar las pérdidas de P y con ello, colaborar a controlar los procesos de eutrofización en aguas. ABSTRACT This dissertation explores the effect of organic wastes application as sources of P in losses of this element that occur by both surface runoff and leaching in soil. To do so, diverse laboratory experiments are conducted and presented here. Evaluating P losses is necessary to better understand the factors that influence the processes behind the loss of this element. Reducing P losses reduces eutrophication problems of both surface water and groundwater caused by an excess of this nutrient, along with other as nitrogen. Details of the experiments are presented below: The first experiment studies the forms of P contained in a series of 14 organic wastes of different origin and treatment (compost, sludge, slurry and digestate), comparing the information provided by three methods of P fractionation. The methods selected were: Ruttemberg protocol (1992); Standards, Measurements and Testing protocol (Ruban et al., 2001a); and Huang protocol (Huang et al., 2008). All fractionation methods employed successfully contribute to our knowledge of P forms in wastes, even though one of them was originally described for sediments or soils information. However, it is difficult to compare results among each other, as each protocol employs different extractants and time in the trials. Total amounts of P obtained by each method show a linear relationship, although the SMT method, which is more direct, obtains the highest amounts for all residues. Sequential methods (Huang and Ruttemberg’s protocols), despite being longer and more tedious, provide more detailed information on the availability of the forms of P. Therefore, allow the estimation of the potential losses of P after application in soil. Furthermore, positive relationships have been found among fractions obtained by these methods. Positive relationship has been found also among soluble forms of P and the concentration of ions Fe + Ca + Al, which is useful as an indicator of the availability of this element. However, the SMT protocol does not collect information about solubility or availability of forms of P contained; neither do certain forms maintain direct relations with the forms from other methods, with the exception of total P methods. To study the behavior of wastes applied to soils two experiments were conducted. Simulated rain systems were prepared to characterize P losses in the surface runoff generated. In addition, columns of soils amended with organic waste were developed for the study of P leaching losses. Simulated rain systems were carried out according to the ’National Phosphorus Research Project’ (2001), which manages to simulate successive rainfall events in conditions resembling reality. The experiment uses boxes filled with soil from the surface horizon amended with residues, both superficially and by mixing with the soil. Tests were conducted with six residues of different type and subjected to diverse treatments. Findings show significant differences in losses of the P forms analyzed in the generated runoff water, in both solution and particulate forms. In general, losses in the first rainfall event after application of waste were higher than the losses generated in the second event, predominating particulate forms of P over dissolved forms in both events. In all trials, a positive relationship was found between various P forms determined by sequential fractionation protocols (water soluble P and readily available P forms) and P losses in runoff. Furthermore, results from Vadas´s mathematical models (Vadas et al., 2005; 2007) to assess P losses by runoff fertilizers and manures indicate that the prediction of this model is not fulfilled in the case of all residues. The diverse physical properties of wastes may affect the differences between experimental and expected losses. Finally, leaching simulation processes were carried out in percolation columns, filled with soils amended with organic wastes, following the ‘CEN/TS 14405-2004 standard: Characterization of waste - Leaching behavior test - Test Flow ascending ’. P losses by leaching have been neglected for a long time with respect to runoff losses. However, findings corroborate previous studies showing that these P losses have to be taken into account, especially in certain types of soils and in zones near aquifers. To study the influence of soil type on P losses, experiments were carried out with three different soils and for each type of waste (manure, compost, digestate and sludge WWTP). Each soil’s P adsorption rates allow assessing which soils imply a higher risk of P losses when external sources of P are applied. P losses in leachate vary according to the type of soil employed and according to the specific residue. In the case of compost, manure and sludge, there is a relationship between leaching losses and residues’ soluble forms of P. The exception being the digestate, where there was no such correlation. Digestate P losses by leaching were lower than expected in all cases considering the forms of P contained. Moreover, examining digestate wettability -- that is, the physical property of the residue that assesses the capacity of waste-water interaction -- allowed explaining the anomalous behavior of this residue. Digestate has a high resistance to water entering its structure and thus higher difficulty to solubilize the P contained. Overall, studying the more available or soluble P forms provides useful information about the potential loss of P. However, this dissertation shows that it is necessary to examine the physical properties of organic residues applied as well as the P adsorption capacity of soils to estimate P losses, and thus to control eutrophication in water.

Modelización del proceso de eliminación de la contaminación de suelos con hidrocarburos mediante desorción térmica “in situ” Comprobación de Modelo

El objetivo definitivo de esta investigación es contribuir con la profundización del conocimiento en las tecnologías de remediación, específicamente las térmicas, debido a que la contaminación de suelos es motivo de preocupación por ser uno de los graves impactos ambientales que origina el hombre con sus actividades, especialmente las industriales, afectando a la salud de los seres humanos, y el medio ambiente, representando elevados costes de saneamiento y en ocasiones problemas graves de salud de las comunidades aledañas. Se establecen tres fases de investigación. En la primera se diseña el sistema de termodesorción a escala piloto, se desarrolla las corridas experimentales, la segunda con corridas en laboratorio para investigar sobre los parámetros que intervienen en el proyecto. Se hacen las corridas respectivas para determinar la eficacia del sistema, y la tercera fase que consiste en comparar los modelos teóricos de Hartley, con los de Hartley Graham –Bryce y el de Hamaker para determinar su aproximación con los resultados reales. Apoyado en investigaciones anteriores, se diseñó y construyó un sistema de desorción térmica, el cual consiste en un horno tipo caja con 4 calentadores (resistencias), y una campana con un filtro para evitar la contaminación atmosférica, así mismo, se diseñó un sistema de control que permitió hacer las corridas con 1/3 de la potencia, con una relación de encendido apagado 3:1 respectivamente. Para validar los resultados obtenidos en el estudio matemático, se compararon dos modelos con la finalidad cuál de ellos se aproxima más a la realidad, se tomaron los ensayos con sus tiempos de operación a las temperaturas y se trabajó a distintas bandas de temperaturas para verificar la fiabilidad del proceso matemático. La temperatura es un variable importante en los procesos de desorción, como los son también la humedad del suelo, pues esta va influir directamente en el tiempo de remediación, por lo que es importante tomarla en cuenta. De igual forma el tipo de suelo va influir en los resultados, siendo las arenas más aptas para este tipo de remediación. Los resultados de la modelización son presentados para temperaturas constantes, el cual difiere de la realidad, pues el proceso de calentamiento es lento y va en accenso dependiendo del contenido de humedad y de las propiedades del suelo. La experimentación realizada concluye con buenos resultados de la aplicación de sistemas de desorción de acuerdo a las variables de Panamá. Con relación al grado de cumplimiento respecto a las normativas actuales relacionadas a los límites máximos permitidos. Los resultados garantizan las posibilidades del proceso de remediación térmica de suelos contaminados con combustibles en rango de diésel, garantizando niveles aceptables de limpieza en un tiempo menor a otras metodologías no destructivas pudieran tomar. ABSTRACT The ultimate goal of this investigation is to enhance the pool of knowledge related to remediation technologies, specifically thermal desorption. The motivation for this study is based on concerns due to pollution of land as one of the most serious environmental impacts caused by anthropogenic effects, specially industrial activities, affecting human health and the environment in general, which represents high reclamation costs, and in some cases, serious health issues in nearby communities. Three phases have been established for this study. The first phase involves the design of a thermal desorption system as a pilot experiment, and associated tests. The second phase consists of laboratory testing to investigate the parameters that affect the investigation, as well as to determine the efficacy of the system. The third phase covers the comparison of theorical models as proposed by Hartley, Hartley Graham – Bryce, and Hamaker, as well as the evaluation of these models versus the laboratory results. Supported by previous researches, the thermal desorption system was designed and installed as a “box” type oven with four heaters (resistances) and one absorption hood with a filter to avoid atmospheric contamination. In the same way, a control system was designed allowing testing with 1/3 of the power, with an on/off rate of 3:1 respectively. In order to validate the results, two mathematical models were compared to identify which model is closer to the experimental results; test results were documented with respective durations and temperatures; and experiments were executed using different ranges of temperature to validate the consistency of the mathematical process. Temperature is an important variable that should be considered for the desorption processes, as well as the humidity content within the soil, that has direct influence over the required duration to achieve remediation. In the same manner, the type of soil also influences the results, where sands are more efficient for this type of remediation process. The results from this experiment are according to constant temperatures, which is not a complete representation of the reality, as the heating process is slow and the temperature gradually increases according to the humidity content and other properties of the soil. The experiment shows good results for the application of thermal desorption systems according to the variables in Panama, as well as the level of compliance required to fulfill current regulations and mandatory maximum limits. The results guarantee the possibility of soil thermo-remediation as a resource to clean sites that have been polluted with diesel-like combustibles, allowing acceptable levels in a period of time that is lower than with other non-destructive remediation technics.

Co-simulation Methodologies for Hybrid and Electric Vehicle Dynamics

In recent decades, full electric and hybrid electric vehicles have emerged as an alternative to conventional cars due to a range of factors, including environmental and economic aspects. These vehicles are the result of considerable efforts to seek ways of reducing the use of fossil fuel for vehicle propulsion. Sophisticated technologies such as hybrid and electric powertrains require careful study and optimization. Mathematical models play a key role at this point. Currently, many advanced mathematical analysis tools, as well as computer applications have been built for vehicle simulation purposes. Given the great interest of hybrid and electric powertrains, along with the increasing importance of reliable computer-based models, the author decided to integrate both aspects in the research purpose of this work. Furthermore, this is one of the first final degree projects held at the ETSII (Higher Technical School of Industrial Engineers) that covers the study of hybrid and electric propulsion systems. The present project is based on MBS3D 2.0, a specialized software for the dynamic simulation of multibody systems developed at the UPM Institute of Automobile Research (INSIA). Automobiles are a clear example of complex multibody systems, which are present in nearly every field of engineering. The work presented here benefits from the availability of MBS3D software. This program has proven to be a very efficient tool, with a highly developed underlying mathematical formulation. On this basis, the focus of this project is the extension of MBS3D features in order to be able to perform dynamic simulations of hybrid and electric vehicle models. This requires the joint simulation of the mechanical model of the vehicle, together with the model of the hybrid or electric powertrain. These sub-models belong to completely different physical domains. In fact the powertrain consists of energy storage systems, electrical machines and power electronics, connected to purely mechanical components (wheels, suspension, transmission, clutch…). The challenge today is to create a global vehicle model that is valid for computer simulation. Therefore, the main goal of this project is to apply co-simulation methodologies to a comprehensive model of an electric vehicle, where sub-models from different areas of engineering are coupled. The created electric vehicle (EV) model consists of a separately excited DC electric motor, a Li-ion battery pack, a DC/DC chopper converter and a multibody vehicle model. Co-simulation techniques allow car designers to simulate complex vehicle architectures and behaviors, which are usually difficult to implement in a real environment due to safety and/or economic reasons. In addition, multi-domain computational models help to detect the effects of different driving patterns and parameters and improve the models in a fast and effective way. Automotive designers can greatly benefit from a multidisciplinary approach of new hybrid and electric vehicles. In this case, the global electric vehicle model includes an electrical subsystem and a mechanical subsystem. The electrical subsystem consists of three basic components: electric motor, battery pack and power converter. A modular representation is used for building the dynamic model of the vehicle drivetrain. This means that every component of the drivetrain (submodule) is modeled separately and has its own general dynamic model, with clearly defined inputs and outputs. Then, all the particular submodules are assembled according to the drivetrain configuration and, in this way, the power flow across the components is completely determined. Dynamic models of electrical components are often based on equivalent circuits, where Kirchhoff’s voltage and current laws are applied to draw the algebraic and differential equations. Here, Randles circuit is used for dynamic modeling of the battery and the electric motor is modeled through the analysis of the equivalent circuit of a separately excited DC motor, where the power converter is included. The mechanical subsystem is defined by MBS3D equations. These equations consider the position, velocity and acceleration of all the bodies comprising the vehicle multibody system. MBS3D 2.0 is entirely written in MATLAB and the structure of the program has been thoroughly studied and understood by the author. MBS3D software is adapted according to the requirements of the applied co-simulation method. Some of the core functions are modified, such as integrator and graphics, and several auxiliary functions are added in order to compute the mathematical model of the electrical components. By coupling and co-simulating both subsystems, it is possible to evaluate the dynamic interaction among all the components of the drivetrain. ‘Tight-coupling’ method is used to cosimulate the sub-models. This approach integrates all subsystems simultaneously and the results of the integration are exchanged by function-call. This means that the integration is done jointly for the mechanical and the electrical subsystem, under a single integrator and then, the speed of integration is determined by the slower subsystem. Simulations are then used to show the performance of the developed EV model. However, this project focuses more on the validation of the computational and mathematical tool for electric and hybrid vehicle simulation. For this purpose, a detailed study and comparison of different integrators within the MATLAB environment is done. Consequently, the main efforts are directed towards the implementation of co-simulation techniques in MBS3D software. In this regard, it is not intended to create an extremely precise EV model in terms of real vehicle performance, although an acceptable level of accuracy is achieved. The gap between the EV model and the real system is filled, in a way, by introducing the gas and brake pedals input, which reflects the actual driver behavior. This input is included directly in the differential equations of the model, and determines the amount of current provided to the electric motor. For a separately excited DC motor, the rotor current is proportional to the traction torque delivered to the car wheels. Therefore, as it occurs in the case of real vehicle models, the propulsion torque in the mathematical model is controlled through acceleration and brake pedal commands. The designed transmission system also includes a reduction gear that adapts the torque coming for the motor drive and transfers it. The main contribution of this project is, therefore, the implementation of a new calculation path for the wheel torques, based on performance characteristics and outputs of the electric powertrain model. Originally, the wheel traction and braking torques were input to MBS3D through a vector directly computed by the user in a MATLAB script. Now, they are calculated as a function of the motor current which, in turn, depends on the current provided by the battery pack across the DC/DC chopper converter. The motor and battery currents and voltages are the solutions of the electrical ODE (Ordinary Differential Equation) system coupled to the multibody system. Simultaneously, the outputs of MBS3D model are the position, velocity and acceleration of the vehicle at all times. The motor shaft speed is computed from the output vehicle speed considering the wheel radius, the gear reduction ratio and the transmission efficiency. This motor shaft speed, somehow available from MBS3D model, is then introduced in the differential equations corresponding to the electrical subsystem. In this way, MBS3D and the electrical powertrain model are interconnected and both subsystems exchange values resulting as expected with tight-coupling approach.When programming mathematical models of complex systems, code optimization is a key step in the process. A way to improve the overall performance of the integration, making use of C/C++ as an alternative programming language, is described and implemented. Although this entails a higher computational burden, it leads to important advantages regarding cosimulation speed and stability. In order to do this, it is necessary to integrate MATLAB with another integrated development environment (IDE), where C/C++ code can be generated and executed. In this project, C/C++ files are programmed in Microsoft Visual Studio and the interface between both IDEs is created by building C/C++ MEX file functions. These programs contain functions or subroutines that can be dynamically linked and executed from MATLAB. This process achieves reductions in simulation time up to two orders of magnitude. The tests performed with different integrators, also reveal the stiff character of the differential equations corresponding to the electrical subsystem, and allow the improvement of the cosimulation process. When varying the parameters of the integration and/or the initial conditions of the problem, the solutions of the system of equations show better dynamic response and stability, depending on the integrator used. Several integrators, with variable and non-variable step-size, and for stiff and non-stiff problems are applied to the coupled ODE system. Then, the results are analyzed, compared and discussed. From all the above, the project can be divided into four main parts: 1. Creation of the equation-based electric vehicle model; 2. Programming, simulation and adjustment of the electric vehicle model; 3. Application of co-simulation methodologies to MBS3D and the electric powertrain subsystem; and 4. Code optimization and study of different integrators. Additionally, in order to deeply understand the context of the project, the first chapters include an introduction to basic vehicle dynamics, current classification of hybrid and electric vehicles and an explanation of the involved technologies such as brake energy regeneration, electric and non-electric propulsion systems for EVs and HEVs (hybrid electric vehicles) and their control strategies. Later, the problem of dynamic modeling of hybrid and electric vehicles is discussed. The integrated development environment and the simulation tool are also briefly described. The core chapters include an explanation of the major co-simulation methodologies and how they have been programmed and applied to the electric powertrain model together with the multibody system dynamic model. Finally, the last chapters summarize the main results and conclusions of the project and propose further research topics. In conclusion, co-simulation methodologies are applicable within the integrated development environments MATLAB and Visual Studio, and the simulation tool MBS3D 2.0, where equation-based models of multidisciplinary subsystems, consisting of mechanical and electrical components, are coupled and integrated in a very efficient way.

Application of the dynamic models to the detection of imperfections in plate Structures

This paper is part of a set of publications related with the development of mathematical models aimed to simulate the dynamic input and output of experimental nondestructive tests in order to detect structural imperfections. The structures to be considered are composed by steel plates of thin thickness. The imperfections in these cases are cracks and they can penetrate either a significant part of the plate thickness or be micro cracks or superficial imperfections. The first class of cracks is related with structural safety and the second one is more connected to the structural protection to the environment, particularly if protective paintings can be deteriorated. Two mathematical groups of models have been developed. The first group tries to locate the position and extension of the imperfection of the first class of imperfections, i.e. cracks and it is the object of the present paper. Bending Kirchoff thin plate models belong to this first group and they are used to this respect. The another group of models is dealt with membrane structures under the superficial Rayleigh waves excitation. With this group of models the micro cracks detection is intended. In the application of the first group of models to the detection of cracks, it has been observed that the differences between the natural frequencies of the non cracked and the cracked structures are very small. However, geometry and crack position can be identified quite accurately if this comparison is carried out between first derivatives (mode rotations) of the natural modes are used instead. Finally, in relation with the analysis of the superficial crack existence the use of Rayleigh waves is very promising. The geometry and the penetration of the micro crack can be detected very accurately. The mathematical and numerical treatment of the generation of these Rayleigh waves present and a numerical application has been shown.

Models of immune memory: On the role of cross-reactive stimulation, competition, and homeostasis in maintaining immune memory

There has been much debate on the contribution of processes such as the persistence of antigens, cross-reactive stimulation, homeostasis, competition between different lineages of lymphocytes, and the rate of cell turnover on the duration of immune memory and the maintenance of the immune repertoire. We use simple mathematical models to investigate the contributions of these various processes to the longevity of immune memory (defined as the rate of decline of the population of antigen-specific memory cells). The models we develop incorporate a large repertoire of immune cells, each lineage having distinct antigenic specificities, and describe the dynamics of the individual lineages and total population of cells. Our results suggest that, if homeostatic control regulates the total population of memory cells, then, for a wide range of parameters, immune memory will be long-lived in the absence of persistent antigen (T1/2 > 1 year). We also show that the longevity of memory in this situation will be insensitive to the relative rates of cross-reactive stimulation, the rate of turnover of immune cells, and the functional form of the term for the maintenance of homeostasis.

USLE and WEPP Soil Erosion Models: Their Applicability and Use in Generating Cover Values to Stabilize Soil in the Los Alamos, New Mexico Area

Soil erosion is a naturally occurring process that involves the detachment, transport, and deposition of soil particles. Disturbances such as thinning and wildfire can reduce cover greatly and increase erosion rates. Forest managers may use erosion prediction tools, such as the Universal Soil Loss Equation (USLE) and Water Erosion Prediction Project (WEPP) to estimate erosion rates and develop techniques to manage erosion. However, it is important to understand the differences and the applications of each model. Erosion rates were generated by each model and the model most applicable to the study site, Los Alamos, New Mexico was determined. It was also used to find the amount of cover needed to stabilize soil. The USLE is a simpler model and less complicated than a computer model like WEPP, and thus easier to manipulate to estimate cover values. Predicted cover values were compared to field cover values. Cover is necessary to establish effective erosion control guidelines.

Integration of different models in the design of chemical processes: Application to the design of a power plant

With advances in the synthesis and design of chemical processes there is an increasing need for more complex mathematical models with which to screen the alternatives that constitute accurate and reliable process models. Despite the wide availability of sophisticated tools for simulation, optimization and synthesis of chemical processes, the user is frequently interested in using the ‘best available model’. However, in practice, these models are usually little more than a black box with a rigid input–output structure. In this paper we propose to tackle all these models using generalized disjunctive programming to capture the numerical characteristics of each model (in equation form, modular, noisy, etc.) and to deal with each of them according to their individual characteristics. The result is a hybrid modular–equation based approach that allows synthesizing complex processes using different models in a robust and reliable way. The capabilities of the proposed approach are discussed with a case study: the design of a utility system power plant that has been decomposed into its constitutive elements, each treated differently numerically. And finally, numerical results and conclusions are presented.

Saint Mathew Law and Bonini Paradox in Textual Theory of Complex Models

The mathematical models of the complex reality are texts belonging to a certain literature that is written in a semi-formal language, denominated L(MT) by the authors whose laws linguistic mathematics have been previously defined. This text possesses linguistic entropy that is the reflection of the physical entropy of the processes of real world that said text describes. Through the temperature of information defined by Mandelbrot, the authors begin a text-reality thermodynamic theory that drives to the existence of information attractors, or highly structured point, settling down a heterogeneity of the space text, the same one that of ontologic space, completing the well-known law of Saint Mathew, of the General Theory of Systems and formulated by Margalef saying: “To the one that has more he will be given, and to the one that doesn't have he will even be removed it little that it possesses.

Comparisons of models predicting ambient lake phosphorus concentrations /

Mode of access: Internet.

Comparison of numerical and physical hydraulic models, Masonboro Inlet, North Carolina /

"June 1977."

Mathematical instruction in France.

Appendices C and D "for later publication."

Models to illustrate the foundations of mathematics /

Mode of access: Internet.

Modelling of froth transportation in industrial flotation cells: Part I. Development of froth transportation models for attached particles

Modelling of froth transportation, as part of modelling of froth recovery, provides a scale-up procedure for flotation cell design. It can also assist in improving control of flotation operation. Mathematical models of froth velocity on the surface and froth residence time distribution in a cylindrical tank flotation cell are proposed, based on mass balance principle of the air entering the froth. The models take into account factors such as cell size, concentrate launder configuration, use of a froth crowder, cell operating conditions including froth height and air rate, and bubble bursting on the surface. (C) 2004 Elsevier Ltd. All rights reserved.