Ultrasonic transducers are used in many fields of daily life, e.g. as parking aids or medical devices. To enable their usage also for mass applications small and low- cost transducers with high performance are required. Capacitive, micro-machined ultrasonic transducers (CMUT) offer the potential, for instance, to integrate compact ultrasonic sensor systems into mobile phones or as disposable transducer for diverse medical applications. This work is aimed at providing fundamentals for the future commercialization of CMUTs. It introduces novel methods for the acoustic simulation and characterization of CMUTs, which are still critical steps in the product development process. They allow an easy CMUT cell design for given application requirements. Based on a novel electromechanical model for CMUT elements, the device properties can be determined by impedance measurement already. Finally, an end-of-line test based on the electrical impedance of CMUTs demonstrates their potential for efficient mass production.

Die rechnergestützte Topologieoptimierung wird zur Gestaltoptimierung, also im Wesentlichen zur Gewichtsreduktion von Bauteilen oder komplexeren Strukturen eingesetzt. Da die Funktionalität im Rahmen von FEM-Programmen zur Verfügung gestellt wird, erfordert sie umfangreiche Kenntnisse zur Bedienung der Software und der festigkeitstechnischen Grundlagen und wird daher überwiegend von Berechnungsexperten im rein technischen Kontext im Maschinenbau oder Luft- und Raumfahrzeugbau angewendet. Allerdings zeigen vereinzelte Arbeiten wie die Sitzmöbel »Bone Furniture«, die aus einer Zusammenarbeit des Studios »Joris Laarman Lab« mit Opel resultieren (Laarman 2006, Abbildung 1), dass derartige Methoden für das Design interessant sein können. [... aus der Einleitung]

Des technologies avancées sont très demandées dans l'industrie automobile pour respecter les réglementations de consommation de carburant de plus en plus rigoureuses. La co-optimisation du dimensionnement et du contrôle des groupes motopropulseurs avec une efficacité de calcul améliorée est étudiée dans cette thèse.Les composants des groupes motopropulseurs, tels que le moteur, la batterie et le moteur électrique, sont modélisés analytiquement au niveau descriptif et prédictif afin de permettre une optimisation du contrôle rapide et une optimisation du dimensionnement scalable. La consommation d'énergie minimale des véhicules hybrides-électriques est évaluée par des nouvelles méthodes optimales. Ces méthodes – y compris Selective Hamiltonian Minimization et GRaphical-Analysis-Based energy Consumption Optimization – permettent d'évaluer une consommation minimale d'énergie avec une efficacité de calcul améliorée. De plus, la méthode de Fully-Analytic energy Consumption Evaluation (FACE) approxime la consommation d'énergie minimale sous forme analytique en fonction des caractéristiques de la mission et des paramètres de conception des composants du groupe motopropulseur. Plusieurs cas d’études sont présentées en détail par rapport aux approches de co-optimisation à bi-niveaux et à uni-niveau, ce qui montre une réduction efficace du temps de calcul requis par le processus global de co-optimisation. / Advanced technologies are highly demanded in automotive industry to meet the more and more stringent regulations of fuel consumption. Cooptimization of design and control for vehicle propulsion systems with an enhanced computational efficiency is investigated in this thesis.Powertrain components, such as internal combustion engines, batteries, and electric motor/generators, are analytically modeled at descriptive and predictive level correspondingly for the development of fastrunning control optimization and for the scalability of design optimization. The minimal fuel consumption of a hybrid-electric vehicle is evaluated through novel optimization methods. These methods – including the Selective Hamiltonian Minimization, and the GRaphical-Analysis-Based energy Consumption Optimization – are able to evaluate the minimal energy consumption with the enhanced computational efficiency. In addition, the Fully-Analytic energy Consumption Evaluation method approximates the minimal energy consumption in closed form as a function of the mission characteristics and the design parameters of powertrain components.A few case studies are presented in details via the bi-level and uni-level co-optimization approaches, showing an effective improvement in the computational efficiency for the overall co-optimization process.

Tesis por compendio / [EN] Currently, there is a trend towards sustainability, especially in developed countries, where the concerns of society about environmental degradation and social problems have increased. Following this trend, the construction sector is one of the most influential sectors due to its high economic, environmental, and social impacts. At the same time, there is an increase in the demand for transport, which drives a need to develop and maintain the necessary infrastructure for this purpose. Taking all these factors into account, bridges become a key structure and therefore assessment of sustainability throughout their whole life-cycle is essential. The main objective of this thesis is to propose a methodology that allows assessment of the sustainability of a bridge under uncertain initial conditions (subjectivity of the decision-maker or variability of initial parameters) and optimization of the design to obtain a robust optimal bridge. To this end, an extensive bibliographic review of all the works that perform assessments of the sustainability of bridges through the valuation of criteria related to their main pillars (economic, environmental, or social) has been carried out. In this review, it has been observed that the most comprehensive way to evaluate the environmental and social pillars is through the use of life-cycle impact assessment methods. These methods allow sustainability assessment to be performed for the whole life-cycle of the bridge. This process provides valuable information to decision-makers for the assessment and selection of the most sustainable bridge. However, the decision-makers' subjective assessments of the relative importance of the criteria influence the final assessment of sustainability. For this reason, it is necessary to create a methodology that reduces the associated uncertainty and seeks robust solutions according to the opinion of decision-makers. In addition, for bridges, the design and decision-making are conditioned by the initially defined parameters. This leads to solutions that may be sensitive to small changes in these initial conditions. A robust optimal design makes it possible to obtain optimal solutions and structurally stable designs under variations of the initial conditions as well as sustainable designs that are not influenced by the preferences of the stakeholders who are part of the decision-making process. Thus, obtaining a robust optimal design becomes a probabilistic optimization process that has a high computational cost. For this reason, the use of metamodels has been integrated into the proposed methodology. Specifically, Latin hypercube sampling is used for the definition of the initial sample and a kriging model is used for the definition of the mathematical approximation. In this way, kriging-based heuristic optimization reduces the computational cost by more than 90% with respect to conventional heuristic optimization while obtaining very similar results. This thesis provides, first of all, an extensive bibliographic review of both the criteria used for the assessment of sustainability of bridges and the different methods of life-cycle impact assessment to obtain a complete profile of the environmental and social pillars. Subsequently, a methodology is defined for the full assessment of sustainability, using life-cycle impact assessment methods. Likewise, an approach is proposed that makes it possible to obtain structures with little influence from the structural parameters, as well as from the preferences of the different decision-makers regarding the sustainability criteria. The methodology provided in this thesis is applicable to any other type of structure. / [ES] Actualmente existe una tendencia hacia la sostenibilidad, especialmente en los países desarrollados donde la preocupación de la sociedad por el deterioro ambiental y los problemas sociales ha aumentado. Siguiendo esta tendencia, el sector de la construcción es uno de los sectores que mayor influencia tiene debido a su alto impacto económico, ambiental y social. Al mismo tiempo, existe un incremento en la demanda de transporte que provoca la necesidad de desarrollo y mantenimiento de las infraestructuras necesarias para tal fin. Con todo esto, los puentes se convierten en una estructura clave, y por tanto, la valoración de la sostenibilidad a lo largo de toda su vida es esencial. El objetivo principal de esta tesis es proponer una metodología que permita valorar la sostenibilidad de un puente bajo condiciones iniciales inciertas (subjetividad del decisor o variabilidad de parámetros iniciales) y optimizar el diseño para obtener puentes óptimos robustos. Para ello, se ha realizado una extensa revisión bibliográfica de todos los trabajos en los que se realiza un análisis de la sostenibilidad mediante la valoración de criterios relacionados con sus pilares principales (económico, medio ambiental o social). En esta revisión, se ha observado que la forma más completa de valorar los pilares medioambientales y sociales es mediante el uso de métodos de análisis de ciclo de vida. Estos métodos permiten llevar a cabo la valoración de la sostenibilidad durante todas las etapas de la vida de los puentes. Todo este procedimiento proporciona información muy valiosa a los decisores para la valoración y selección del puente más sostenible. No obstante, las valoraciones subjetivas de los decisores sobre la importancia de los criterios influyen en la evaluación final de la sostenibilidad. Por esta razón, es necesario crear una metodología que reduzca la incertidumbre asociada y busque soluciones robustas frente a las opiniones de los agentes implicados en la toma de decisiones. Además, el diseño y toma de decisiones en puentes está condicionado por los parámetros inicialmente definidos. Esto conduce a soluciones que pueden ser sensibles frente a pequeños cambios en dichas condiciones iniciales. El diseño óptimo robusto permite obtener diseños óptimos y estructuralmente estables frente a variaciones de las condiciones iniciales, y también diseños sostenibles y poco influenciables por las preferencias de los decisores que forman parte del proceso de toma de decisión. Así pues, el diseño óptimo robusto se convierte en un proceso de optimización probabilística que requiere un gran coste computacional. Por este motivo, el uso de metamodelos se ha integrado en la metodología propuesta. En concreto, se ha utilizado hipercubo latino para la definición de la muestra inicial y los modelos kriging para la definción de la aproximación matemática. De esta forma, la optimización heurística basada en kriging ha permitido reducir más de un 90% el coste computacional respecto a la optimización heurística conveniconal obteniendo resultados muy similares. Esta tesis proporciona en primer lugar, una amplia revisión bibliográfica, tanto de los criterios utilizados para la valoración de la sostenibilidad en puentes como de los diferentes métodos de análisis de ciclo de vida para obtener un perfil completo de los pilares ambientales y sociales. Posteriormente, se define una metodología para la valoración completa de la sostenibilidad, usando métodos de análisis de ciclo de vida. Asimismo, se propone un enfoque que permite obtener estructuras poco influenciables por los parámetros estructurales, así como por las preferencias de los diferentes decisores frente a los criterios sostenibles. La metodología proporcionada en esta tesis es aplicable a cualquier otro tipo de estructura. / [CA] Actualment existeix una tendència cap a la sostenibilitat, especialment en els països desenrotllats on la preocupació de la societat pel deteriori ambiental i els problemes socials ha augmentat. Seguint aquesta tendència, el sector de la construcció és un dels sectors que major influència té a causa del seu alt impacte econòmic, ambiental i social. Al mateix temps, existeix un increment en la demanda de transport que provoca la necessitat de desenrotll i manteniment de les infraestructures necessàries per a tal fi. En tot açò, els ponts es converteixen en una estructura clau, i per tant, la valoració de la sostenibilitat al llarg de tota la seua vida és essencial. L'objectiu principal d'aquesta tesi doctoral és proposar una metodologia que permeta valorar la sostenibilitat d'un pont baix condicions inicials incertes (subjectivitat del decisor o variabilitat dels paràmetres inicials) i optimitzar el disseny per a obtenir ponts òptims robusts. Per a això, s'ha realitzat una extensa revisió bibliogràfica de tots els treballs en els quals es realitza un anàlisis de la sostenibilitat mitjançant la valoració de criteris relacionats amb els seus pilars principals (econòmic, ambiental o social). En aquesta revisió s'ha observat que la forma més completa de valorar els pilars ambientals i socials és mitjançant l'ús de mètodes d'anàlisis de cicle de vida. Aquests mètodes permeten realitzar la valoració de la sostenibilitat al llarg de totes les etapes de la vida dels ponts. Tot aquest procediment proporciona informació molt valuosa als decisors per a la valoració i selecció del pont més sostenible. No obstant això, les valoracions subjectives dels decisors sobre la importància dels criteris influeixen en l'avaluació final de la sostenibilitat. Per aquesta raó, és necessari crear una metodologia que reduïsca la incertesa associada i busque solucions robustes enfront de les opinions dels agents implicats en la presa de decisions. A més, el disseny i la presa de decisions en ponts està condicionat pels paràmetres inicialment definits. Açò condueix a solucions que poden ser sensibles front a menuts canvis en les dites condicions inicials. El disseny òptim robust permet obtenir dissenys òptims i estructuralment estables front a variacions de les condicions inicials, i també dissenys sostenibles i poc influenciables per les preferències dels decisors que formen part del procés de presa de decisió. D'aquesta manera, el disseny òptim robust es converteix en un procés d'optimització probabilística que requereix un gran cost computacional. Per aquest motiu, l'ús de metamodels s'ha integrat en la metodologia proposta. En concret, s'ha utilitzat l'hipercub llatí per a la definició de la mostra inicial i els models kriging per a la definició de l'aproximació matemàtica. D'aquesta forma, l'optimització heurística basada en kriging ha permés reduir més d'un 90% el cost computacional respecte a l'optimització heurística convencional obtenint resultats molt similars. Aquesta tesi doctoral proporciona en primer lloc, una ampla revisió bibliogràfica, tant dels criteris utilitzats per a la valoració de la sostenibilitat en ponts com dels diferents mètodes d'anàlisis de cicle de vida per a obtenir un perfil complet dels pilars ambientals i socials. Posteriorment, es defineix una metodologia per a la valoració completa de la sostenibilitat, utilitzant mètodes d'anàlisis de cicle de vida. Així mateix, es proposa un enfocament que permet obtenir estructures poc influenciables pels paràmetres estructurals, així com per les preferències dels diferents decisors enfront dels criteris sostenibles. La metodologia proporcionada en aquesta tesi doctoral és aplicable a qualsevol altre tipus d'estructura. Nº de páginas: / I would like to acknowledge the economic support of the Spanish Ministry of Economy and Competitiveness, formerly called Spanish Ministry of Science and Innovation. This thesis has been possible thanks to the FPI fellowship and the financially support of BRIDLIFE (Research Project BIA2014-56574-R) and DIMALIFE (Project BIA2017-85098-R). / Penadés Plà, V. (2020). Life-cycle sustainability design of post-tensioned box-girder bridge obtained by metamodel-assisted optimization and decision-making under uncertainty [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/147480 / TESIS / Compendio

This dissertation develops systems engineering and machine learning models for aviation maintenance support. With the constant increase in demand for air travel, aviation organizations compete to maintain airworthy aircraft to ensure the safety of passengers. Given the importance of aircraft safety, the aviation sector constantly needs technologies to enhance the maintenance experience, ensure system safety, and limit aircraft downtime. Based on the current literature, the aviation maintenance sector still relies on outdated technologies to maintain aircraft maintenance documentation, including paper-based technical orders. Aviation maintenance documentation contains a mixture of structured and unstructured technical text, mainly inputted by operators, making them prone to error, misunderstanding communication, and inconsistency. This dissertation intends to develop decision support models based on systems engineering and artificial intelligence models that can automate the maintenance documentation system, extract useful information from maintenance work orders, and predict the aircraft's top degrader signals based on textual data. The first chapter of this dissertation introduces the significant setbacks of the aviation industry and provides a working ground for the following chapters. The dissertation's second chapter develops a system engineering framework using model-based systems engineering (MBSE) methodology to model the aviation maintenance process using the systems engineering language (SysML). The outcome of this framework is the design of an automated maintenance system model that can be used to automate maintenance documentation, making it less prone to error. The third chapter of the dissertation uses textual data in maintenance work orders to develop a hybrid approach that uses natural language processing (NLP) and transformer models to predict the readiness of a legacy aircraft. The model was tested using a real-life case study of the EA-6B military aircraft. The fourth chapter of this dissertation develops an ensemble transformer model based on three different transformer models. The ensemble model leverages the benefits of three different transformer architectures and is used to classify events based on an aviation log-based dataset. This dissertation's final and fifth chapter summarizes key findings, proposes future work directions, and provides the dissertation's limitations.

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This paper describes the changes made from Cal Poly’s initial railgun system, the Mk. 1 railgun, to the Mk. 1.1 system, as well as the design, fabrication, and testing of a newer and larger Mk. 2 railgun system. The Mk. 1.1 system is developed as a more efficient alteration of the original Mk. 1 system, but is found to be defective due to hardware deficiencies and failure, as well as unforeseen efficiency losses. A Mk. 2 system is developed and built around donated hardware from the Naval Postgraduate School. The Mk. 2 system strove to implement an efficient, augmented, electromagnetic railgun and projectile system capable of firing an approximate 1g aluminum projectile to speeds exceeding 2 km/s. A novel three part projectile is proposed to mitigate rail and projectile degradation. Projectile and sabot system kinematic equations are derived and the projectile is designed and tested along with Mk. 2 barrel. A numerical electromechanical model is developed to predict the performance of the Mk. 2 system and projectile assembly, and predicts a final velocity for the fabricated system exceeding 3.5 km/s and an efficiency as high as 24%. Testing of the Mk. 2 system showed catastrophic failure of the projectile during initial acceleration, resulting in very short acceleration times and distance, low velocity projectiles, and low efficiencies. During further testing of various projectile configurations, the barrel structure failed due to a large internal arc. Future work for the Mk. 2 system is discussed, a revised external barrel structure suggested, and a solid, more conventional solid chevron projectile design suggested.

Collision with orbital debris poses a serious threat to spacecraft and astronauts. Hypervelocity impacts resulting from collisions mean that objects with a mass less than 1g can cause mission-ending damage to spacecraft. A means of shielding spacecraft against collisions is necessary. A means of testing candidate shielding methods for their efficacy in mitigating hypervelocity impacts is therefore also necessary. Cal Poly’s Electromagnetic Railgun was designed with the goal of creating a laboratory system capable of simulating hypervelocity (≥ 3 km/s) impacts. Due to several factors, the system was not previously capable of high-velocity (≥ 1 km/s) tests. A deficient projectile design is revised, and a new design is tested. The new projectile design is demonstrated to enable far greater performance than the previous design, with a muzzle velocity ≥ 1 km/sbeing verified during testing, and an energy conversion efficiency of 2.7%. A method of improving contact and controlling wear at the projectile/rail interface using silver plating and conductive silver paste is validated. A mechanism explaining the problem of internal arcing within the railgun barrel is proposed, and design recommendations are made to eliminate arcing on the basis of the work done during testing. The primary structural members are found to be deficient for their application and a failure analysis of a failed member, loading analysis of the railgun barrel, and design of new structures is undertaken and presented.

Reliability of integrated circuit (IC) packages is in great demand for the automotive industry, as they are used in almost every electronic components. IC packages consist of essentially molding compound (MC), lead frame (LF), adhesive and a silicon chip. The elastic mismatch between the components makes the interfaces susceptible to crack initiation, propagation and eventual failure. The main reason of the failure is the thermo-mechanical cycles during the service time. This work presents the robustness estimation and the reliability based robustness improvement of an IC package by minimization of both crack driving force and its standard deviation at the MC and the LF interface with respect to the fatigue fracture toughness. The robustness evaluation and robust design optimization were performed by taking the uncertainty in geometrical parameters into account. Evidently, there are more robust and reliable designs than the current design which have less crack driving force and show less variation. In order to quantify the reliability with respect to the variation of the crack driving force, the fatigue fracture toughness of the interface was characterized under isothermal conditions at 25 ◦C and −40 ◦C with a three point bending test apparatus. The interface characterizations at low temperatures like −40 ◦C is a main concern due to large stress generation during the reliability tests. After then, a test methodology was prepared to validate the fatigue fracture toughness of the interface in the package level. Artificial cracks were introduced at the MC-LF interface in IC packages to predict the crack growth under thermal cycling over a temperature range of −50 ◦C to 150 ◦C. A prediction quality assisted to validate, whether the fatigue fracture toughness, which was obtained mechanically under isothermal conditions, could be used to predict the crack growth in the IC package under thermo-mechanical cycles. Material characterization of the MC and the LF was performed to acquire the fatigue fracture toughness and the crack length by the compliance calibration method as accurate as possible. The mechanical modeling of both materials was accomplished with elasticity plus plasticity at the room temperature. Then the material models were verified by using the behavior of the bi-material structure under three point bending. As the numerical simulations were used to calculate the fracture toughness, this thesis also presents a comparison between the methods in the literature by using finite element simulations. The results were compared with the analytic solution according to their accuracy, ease of implementation and mesh independence. Simultaneously, various crack tip elements were analyzed in contrast considering their capability of fracture toughness calculation. The analyses were included different fracture mechanical concepts from linear elastic to elastic plastic fracture mechanics. The comparison led to a more convenient method and crack tip element preference for the interface characterization.

<p>Subcutaneous injection through devices such as autoinjectors is a preferred delivery method for wide array of pharmaceuticals such as monoclonal antibodies. Needle insertion during drug delivery involves large deformation, damage, and fracture of the skin tissue and affects drug transport and uptake. Yet, our understanding of needle insertion biomechanics is limited, but is crucially important to create autoinjectors that lead to the least amount of pain, penetrate the skin to a desired depth, produce small lesions that minimize back flow of drug, and operate robustly even given the variability in the skin mechanics among individuals. Computational models of needle insertion lends itself as an excellent avenue for studying the biomechanics of injector- skin interactions and for proposing better device designs. This work is focused on introducing a comprehensive computational modeling framework for optimizing needle insertion by autoinjector devices, while addressing limitations in experimental data and constitutive modeling of damage and fracture mechanisms in skin</p>