Application of PZT and FBG impedance sensors for structural health monitoring of reinforced concrete beams strengthened with FRP composite materials

Esta Tesis tiene como objetivo principal el desarrollo de métodos de identificación del daño que sean robustos y fiables, enfocados a sistemas estructurales experimentales, fundamentalmente a las estructuras de hormigón armado reforzadas externamente con bandas fibras de polímeros reforzados (FRP). El modo de fallo de este tipo de sistema estructural es crítico, pues generalmente es debido a un despegue repentino y frágil de la banda del refuerzo FRP originado en grietas intermedias causadas por la flexión. La detección de este despegue en su fase inicial es fundamental para prevenir fallos futuros, que pueden ser catastróficos. Inicialmente, se lleva a cabo una revisión del método de la Impedancia Electro-Mecánica (EMI), de cara a exponer sus capacidades para la detección de daño. Una vez la tecnología apropiada es seleccionada, lo que incluye un analizador de impedancias así como novedosos sensores PZT para monitorización inteligente, se ha diseñado un procedimiento automático basado en los registros de impedancias de distintas estructuras de laboratorio. Basándonos en el hecho de que las mediciones de impedancias son posibles gracias a una colocación adecuada de una red de sensores PZT, la estimación de la presencia de daño se realiza analizando los resultados de distintos indicadores de daño obtenidos de la literatura. Para que este proceso sea automático y que no sean necesarios conocimientos previos sobre el método EMI para realizar un experimento, se ha diseñado e implementado un Interfaz Gráfico de Usuario, transformando la medición de impedancias en un proceso fácil e intuitivo. Se evalúa entonces el daño a través de los correspondientes índices de daño, intentando estimar no sólo su severidad, sino también su localización aproximada. El desarrollo de estos experimentos en cualquier estructura genera grandes cantidades de datos que han de ser procesados, y algunas veces los índices de daño no son suficientes para una evaluación completa de la integridad de una estructura. En la mayoría de los casos se pueden encontrar patrones de daño en los datos, pero no se tiene información a priori del estado de la estructura. En este punto, se ha hecho una importante investigación en técnicas de reconocimiento de patrones particularmente en aprendizaje no supervisado, encontrando aplicaciones interesantes en el campo de la medicina. De ahí surge una idea creativa e innovadora: detectar y seguir la evolución del daño en distintas estructuras como si se tratase de un cáncer propagándose por el cuerpo humano. En ese sentido, las lecturas de impedancias se emplean como información intrínseca de la salud de la propia estructura, de forma que se pueden aplicar las mismas técnicas que las empleadas en la investigación del cáncer. En este caso, se ha aplicado un algoritmo de clasificación jerárquica dado que ilustra además la clasificación de los datos de forma gráfica, incluyendo información cualitativa y cuantitativa sobre el daño. Se ha investigado la efectividad de este procedimiento a través de tres estructuras de laboratorio, como son una viga de aluminio, una unión atornillada de aluminio y un bloque de hormigón reforzado con FRP. La primera ayuda a mostrar la efectividad del método en sencillos escenarios de daño simple y múltiple, de forma que las conclusiones extraídas se aplican sobre los otros dos, diseñados para simular condiciones de despegue en distintas estructuras. Demostrada la efectividad del método de clasificación jerárquica de lecturas de impedancias, se aplica el procedimiento sobre las estructuras de hormigón armado reforzadas con bandas de FRP objeto de esta tesis, detectando y clasificando cada estado de daño. Finalmente, y como alternativa al anterior procedimiento, se propone un método para la monitorización continua de la interfase FRP-Hormigón, a través de una red de sensores FBG permanentemente instalados en dicha interfase. De esta forma, se obtienen medidas de deformación de la interfase en condiciones de carga continua, para ser implementadas en un modelo de optimización multiobjetivo, cuya solución se haya por medio de una expansión multiobjetivo del método Particle Swarm Optimization (PSO). La fiabilidad de este último método de detección se investiga a través de sendos ejemplos tanto numéricos como experimentales. ABSTRACT This thesis aims to develop robust and reliable damage identification methods focused on experimental structural systems, in particular Reinforced Concrete (RC) structures externally strengthened with Fiber Reinforced Polymers (FRP) strips. The failure mode of this type of structural system is critical, since it is usually due to sudden and brittle debonding of the FRP reinforcement originating from intermediate flexural cracks. Detection of the debonding in its initial stage is essential thus to prevent future failure, which might be catastrophic. Initially, a revision of the Electro-Mechanical Impedance (EMI) method is carried out, in order to expose its capabilities for local damage detection. Once the appropriate technology is selected, which includes impedance analyzer as well as novel PZT sensors for smart monitoring, an automated procedure has been design based on the impedance signatures of several lab-scale structures. On the basis that capturing impedance measurements is possible thanks to an adequately deployed PZT sensor network, the estimation of damage presence is done by analyzing the results of different damage indices obtained from the literature. In order to make this process automatic so that it is not necessary a priori knowledge of the EMI method to carry out an experimental test, a Graphical User Interface has been designed, turning the impedance measurements into an easy and intuitive procedure. Damage is then assessed through the analysis of the corresponding damage indices, trying to estimate not only the damage severity, but also its approximate location. The development of these tests on any kind of structure generates large amounts of data to be processed, and sometimes the information provided by damage indices is not enough to achieve a complete analysis of the structural health condition. In most of the cases, some damage patterns can be found in the data, but none a priori knowledge of the health condition is given for any structure. At this point, an important research on pattern recognition techniques has been carried out, particularly on unsupervised learning techniques, finding interesting applications in the medicine field. From this investigation, a creative and innovative idea arose: to detect and track the evolution of damage in different structures, as if it were a cancer propagating through a human body. In that sense, the impedance signatures are used to give intrinsic information of the health condition of the structure, so that the same clustering algorithms applied in the cancer research can be applied to the problem addressed in this dissertation. Hierarchical clustering is then applied since it also provides a graphical display of the clustered data, including quantitative and qualitative information about damage. The performance of this approach is firstly investigated using three lab-scale structures, such as a simple aluminium beam, a bolt-jointed aluminium beam and an FRP-strengthened concrete specimen. The first one shows the performance of the method on simple single and multiple damage scenarios, so that the first conclusions can be extracted and applied to the other two experimental tests, which are designed to simulate a debonding condition on different structures. Once the performance of the impedance-based hierarchical clustering method is proven to be successful, it is then applied to the structural system studied in this dissertation, the RC structures externally strengthened with FRP strips, where the debonding failure in the interface between the FRP and the concrete is successfully detected and classified, proving thus the feasibility of this method. Finally, as an alternative to the previous approach, a continuous monitoring procedure of the FRP-Concrete interface is proposed, based on an FBGsensors Network permanently deployed within that interface. In this way, strain measurements can be obtained under controlled loading conditions, and then they are used in order to implement a multi-objective model updating method solved by a multi-objective expansion of the Particle Swarm Optimization (PSO) method. The feasibility of this last proposal is investigated and successfully proven on both numerical and experimental RC beams strengthened with FRP.

Algoritmos de decisión para priorizar las acciones de restauración en el mantenimiento de redes

En la actualidad, cualquier compañía de telecomunicaciones que posea su propia red debe afrontar el problema del mantenimiento de la misma. Ofrecer un mínimo de calidad de servicio a sus clientes debe ser uno de sus objetivos principales. Esta calidad debe mantenerse aunque ocurran incidencias en la red. El presente trabajo pretende resolver el problema de priorizar el orden en que se restauran los cables, caminos y circuitos, dañados por una incidencia, dentro de una red troncal de transporte perteneciente a una operadora de telecomunicaciones. Tras un planteamiento detallado del problema y de todos los factores que influirán en la toma de decisión, en primer lugar se acomete una solución basada en Métodos Multicriterio Discretos, concretamente con el uso de ELECTRE I y AHP. A continuación se realiza una propuesta de solución basada en Redes Neuronales (con dos aproximaciones diferentes al problema). Por último se utiliza un método basado en la Optimización por Enjambre de Partículas (PSO), adaptado a un problema de permutación de enteros (ordenación), y con una forma particular de evaluar la mejor posición global del enjambre. Complementariamente se realiza una exposición de lo que es una empresa Operadora de telecomunicaciones, de sus departamentos y procesos internos, de los servicios que ofrece, de las redes sobre las que se soportan, y de los puntos clave a tener en cuenta en la implementación de sus sistemas informáticos de gestión integral. ABSTRACT: Nowadays, any telecommunications company that owns its own network must face the problem of maintaining it (service assurance). Provide a minimum quality of service to its customers must be one of its main objectives. This quality should be maintained although any incidents happen to occur in the network. This thesis aims to solve the problem of prioritizing the order in which the damaged cables, trails, path and circuits, within a backbone transport network, should be restored. This work begins with a detailed explanation about network maintenance issues and all the factors that influence decision-making problem. First of all, one solution based on Discrete Multicriteria methods is tried (ELECTRE I and AHP algorithms are used). Also, a solution based on neural networks (with two different approaches to the problem) is analyzed. Finally, this thesis proposes an algorithm based on Particle Swarm Optimization (PSO), adapted to a problem of integers permutation, and a particular way of evaluating the best overall position of the swarm method. In addition, there is included an exhibition about telecommunications companies, its departments, internal processes, services offered to clients, physical networks, and key points to consider when implementing its integrated management systems.

RECIPROCIDADE ENTRE INDIVÍDUO E ORGANIZAÇÃO E SEUS IMPACTOS SOBRE A SATISFAÇÃO E O COMPROMETIMENTO

Reciprocidade indivíduo-organização e afetividade são dois fenômenos presentes na vida organizacional e que se tornaram tópicos de pesquisa no campo de estudos do comportamento organizacional. Esse estudo teve como objetivo reforçar as evidências empíricas acerca das relações entre cognições de troca indivíduo-organização e afetividade no contexto de trabalho. Para tanto, foram submetidas à teste empírico cinco hipóteses inspiradas em um estudo inédito desenvolvido por Siqueira (2002b). Contou-se com a utilização de um questionário composto por cinco escalas validadas, referentes as variáveis do estudo, que avaliaram percepção de suporte organizacional (PSO), percepção de reciprocidade organizacional (PRO), comprometimento organizacional normativo (CON), satisfação no trabalho (STR) e comprometimento organizacional afetivo (COA). Participaram 275 profissionais, sendo 183 pertencentes ao setor administrativo e 92 ao setor administrativo-acadêmico de uma Instituição de Ensino Superior, situada na região do Grande ABCD Paulista e com inserção no estado de São Paulo. OS participantes do estudo tinham idade média de 32 anos, sendo a maioria (58,2%) do sexo feminino, com escolaridade em nível superior (39,6%) e tempo médio de trabalho na organização de quatro anos. Os dados coletados foram organizados em um banco de dados eletrônico para tratamento estatístico, quando se utilizou o aplicativo SPSS (Statistical Package for the Social Scienses). Foram realizadas análises descritivas das variáveis e análises de correlação e de regressão múltipla para os testes das cinco hipóteses. Todas as hipóteses foram confirmadas. Conclui-se então, que o presente estudo reforça as proposições de Siqueira (2002b) acerca da pertinência de se considerar os três conceitos analisados (PSO, PRO E CON) como integrantes do esquema mental de reciprocidade. Ainda, os resultados do estudo reafirmam as evidências acerca da capacidade preditiva do EMR sobre satisfação no trabalho e comprometimento organizacional afetivo. Por fim, a análise dos dados aponta percepção de suporte organizacional como sendo o componente cognitivo do EMR com maior poder de influência sobre satisfação no trabalho e comprometimento organizacional afetivo. Portanto, cognições acerca das relações de troca social com organizações antecedem satisfação e comprometimento afetivo que, por sua vez, são importantes fatores a favor da organização, contribuindo para sua efetividade.

RECIPROCIDADE ENTRE INDIVÍDUO E ORGANIZAÇÃO E SEUS IMPACTOS SOBRE A SATISFAÇÃO E O COMPROMETIMENTO

Reciprocidade indivíduo-organização e afetividade são dois fenômenos presentes na vida organizacional e que se tornaram tópicos de pesquisa no campo de estudos do comportamento organizacional. Esse estudo teve como objetivo reforçar as evidências empíricas acerca das relações entre cognições de troca indivíduo-organização e afetividade no contexto de trabalho. Para tanto, foram submetidas à teste empírico cinco hipóteses inspiradas em um estudo inédito desenvolvido por Siqueira (2002b). Contou-se com a utilização de um questionário composto por cinco escalas validadas, referentes as variáveis do estudo, que avaliaram percepção de suporte organizacional (PSO), percepção de reciprocidade organizacional (PRO), comprometimento organizacional normativo (CON), satisfação no trabalho (STR) e comprometimento organizacional afetivo (COA). Participaram 275 profissionais, sendo 183 pertencentes ao setor administrativo e 92 ao setor administrativo-acadêmico de uma Instituição de Ensino Superior, situada na região do Grande ABCD Paulista e com inserção no estado de São Paulo. OS participantes do estudo tinham idade média de 32 anos, sendo a maioria (58,2%) do sexo feminino, com escolaridade em nível superior (39,6%) e tempo médio de trabalho na organização de quatro anos. Os dados coletados foram organizados em um banco de dados eletrônico para tratamento estatístico, quando se utilizou o aplicativo SPSS (Statistical Package for the Social Scienses). Foram realizadas análises descritivas das variáveis e análises de correlação e de regressão múltipla para os testes das cinco hipóteses. Todas as hipóteses foram confirmadas. Conclui-se então, que o presente estudo reforça as proposições de Siqueira (2002b) acerca da pertinência de se considerar os três conceitos analisados (PSO, PRO E CON) como integrantes do esquema mental de reciprocidade. Ainda, os resultados do estudo reafirmam as evidências acerca da capacidade preditiva do EMR sobre satisfação no trabalho e comprometimento organizacional afetivo. Por fim, a análise dos dados aponta percepção de suporte organizacional como sendo o componente cognitivo do EMR com maior poder de influência sobre satisfação no trabalho e comprometimento organizacional afetivo. Portanto, cognições acerca das relações de troca social com organizações antecedem satisfação e comprometimento afetivo que, por sua vez, são importantes fatores a favor da organização, contribuindo para sua efetividade.

Particle Swarm Optimization Based Reactive Power Dispatch for Power Networks with Distributed Generation

Reactive power is critical to the operation of the power networks on both safety aspects and economic aspects. Unreasonable distribution of the reactive power would severely affect the power quality of the power networks and increases the transmission loss. Currently, the most economical and practical approach to minimizing the real power loss remains using reactive power dispatch method. Reactive power dispatch problem is nonlinear and has both equality constraints and inequality constraints. In this thesis, PSO algorithm and MATPOWER 5.1 toolbox are applied to solve the reactive power dispatch problem. PSO is a global optimization technique that is equipped with excellent searching capability. The biggest advantage of PSO is that the efficiency of PSO is less sensitive to the complexity of the objective function. MATPOWER 5.1 is an open source MATLAB toolbox focusing on solving the power flow problems. The benefit of MATPOWER is that its code can be easily used and modified. The proposed method in this thesis minimizes the real power loss in a practical power system and determines the optimal placement of a new installed DG. IEEE 14 bus system is used to evaluate the performance. Test results show the effectiveness of the proposed method.

A hybrid simulation-optimization approach for the design of internally heat-integrated distillation columns

Paper submitted to AIChE 2012 Annual Meeting: Energy Efficiency by Process Intensification, Pittsburgh, PA, October 28-November 2, 2012.

Rigorous Design of Complex Distillation Columns Using Process Simulators and the Particle Swarm Optimization Algorithm

We present a derivative-free optimization algorithm coupled with a chemical process simulator for the optimal design of individual and complex distillation processes using a rigorous tray-by-tray model. The proposed approach serves as an alternative tool to the various models based on nonlinear programming (NLP) or mixed-integer nonlinear programming (MINLP) . This is accomplished by combining the advantages of using a commercial process simulator (Aspen Hysys), including especially suited numerical methods developed for the convergence of distillation columns, with the benefits of the particle swarm optimization (PSO) metaheuristic algorithm, which does not require gradient information and has the ability to escape from local optima. Our method inherits the superstructure developed in Yeomans, H.; Grossmann, I. E.Optimal design of complex distillation columns using rigorous tray-by-tray disjunctive programming models. Ind. Eng. Chem. Res.2000, 39 (11), 4326–4335, in which the nonexisting trays are considered as simple bypasses of liquid and vapor flows. The implemented tool provides the optimal configuration of distillation column systems, which includes continuous and discrete variables, through the minimization of the total annual cost (TAC). The robustness and flexibility of the method is proven through the successful design and synthesis of three distillation systems of increasing complexity.

The Economics of EU Railway Reform. Bruges European Economic Policy (BEEP) Briefing 8/2004

The EU began railway reform in earnest around the turn of the century. Two ‘railway packages’ have meanwhile been adopted amounting to a series of directives and a third package has been proposed. A range of complementary initiatives has been undertaken or is underway. This BEEP Briefing inspects the main economic aspects of EU rail reform. After highlighting the dramatic loss of market share of rail since the 1960s, the case for reform is argued to rest on three arguments: the need for greater competitiveness of rail, promoting the (market driven) diversion of road haulage to rail as a step towards sustainable mobility in Europe, and an end to the disproportional claims on public budgets of Member States. The core of the paper deals respectively with market failures in rail and in the internal market for rail services; the complex economic issues underlying vertical separation (unbundling) and pricing options; and the methods, potential and problems of introducing competition in rail freight and in passenger services. Market failures in the rail sector are several (natural monopoly, economies of density, safety and asymmetries of information), exacerbated by no less than 7 technical and legal barriers precluding the practical operation of an internal rail market. The EU choice to opt for vertical unbundling (with benefits similar in nature as in other network industries e.g. preventing opaque cross-subsidisation and greater cost revelation) risks the emergence of considerable coordination costs. The adoption of marginal cost pricing is problematic on economic grounds (drawbacks include arbitrary cost allocation rules in the presence of large economies of scope and relatively large common costs; a non-optimal incentive system, holding back the growth of freight services; possibly anti-competitive effects of two-part tariffs). Without further detailed harmonisation, it may also lead to many different systems in Member States, causing even greater distortions. Insofar as freight could develop into a competitive market, a combination of Ramsey pricing (given the incentive for service providers to keep market share) and price ceilings based on stand-alone costs might be superior in terms of competition, market growth and regulatory oversight. The incipient cooperative approach for path coordination and allocation is welcome but likely to be seriously insufficient. The arguments to introduce competition, notably in freight, are valuable and many e.g. optimal cross-border services, quality differentiation as well as general quality improvement, larger scale for cost recovery and a decrease of rent seeking. Nevertheless, it is not correct to argue for the introduction of competition in rail tout court. It depends on the size of the market and on removing a host of barriers; it requires careful PSO definition and costing; also, coordination failures ought to be pre-empted. On the other hand, reform and competition cannot and should not be assessed in a static perspective. Conduct and cost structures will change with reform. Infrastructure and investment in technology are known to generate enormous potential for cost savings, especially when coupled with the EU interoperability programme. All this dynamism may well help to induce entry and further enlarge the (net) welfare gains from EU railway reform. The paper ends with a few pointers for the way forward in EU rail reform.

Factores determinantes de la variabilidad espacial de anchoveta peruana (Engraulis ringens) en el Pacífico Sudoriental

Los modelos de nicho ecológico permiten estudiar el efecto del ambiente sobre la distribución de las especies, relacionando datos de su distribución con información ambiental. El objetivo del presente estudio fue estimar el nicho ecológico y describir la variabilidad en la distribución espacial de la anchoveta (Engraulis ringens) mediante el uso de modelos estadísticos de nicho ecológico. Se trabajó con dos enfoques de análisis: por stocks (norte, centro y sur) en el Pacífico Sudoriental (PSO) y por estadios de desarrollo (pre-reclutas, reclutas y adultos) en la costa peruana. El modelo de nicho ecológico utilizó modelos aditivos generalizados, estimaciones georeferenciadas de presencia y ausencia de anchoveta e información de cuatro variables ambientales (temperatura superficial del mar, salinidad superficial del mar, concentración de clorofila a superficial y la profundidad de la oxiclina) entre los a˜nos 1985 y 2008. Se encontró que no existen diferencias en los nichos ecológicos de los tres stocks de anchoveta siendo los modelos que utilizaron la información de la anchoveta en todo el PSO los que lograron modelar el nicho de manera correcta. Respecto al análisis por estadios, se evidenció que cada estadio de desarrollo tiene distintas tolerancias a las variables ambientales consideradas en este trabajo, siendo los nichos de estadios menos desarrollados los que estuvieron incluidos dentro de los estadios más desarrollados. Se recomienda realizar estudios separados para cada estadio de desarrollo, lo cual permita comprender mejor las relaciones ecológicas encontradas en los resultados del nicho ecológico. Además se recomienda realizar simulaciones con modelos de nicho que incluyan más variables ambientales, las cuales puedan mejorar los mapas de distribución espacial de la anchoveta para los dos enfoques de análisis.

RECIPROCIDADE ENTRE INDIVÍDUO E ORGANIZAÇÃO E SEUS IMPACTOS SOBRE A SATISFAÇÃO E O COMPROMETIMENTO

Reciprocidade indivíduo-organização e afetividade são dois fenômenos presentes na vida organizacional e que se tornaram tópicos de pesquisa no campo de estudos do comportamento organizacional. Esse estudo teve como objetivo reforçar as evidências empíricas acerca das relações entre cognições de troca indivíduo-organização e afetividade no contexto de trabalho. Para tanto, foram submetidas à teste empírico cinco hipóteses inspiradas em um estudo inédito desenvolvido por Siqueira (2002b). Contou-se com a utilização de um questionário composto por cinco escalas validadas, referentes as variáveis do estudo, que avaliaram percepção de suporte organizacional (PSO), percepção de reciprocidade organizacional (PRO), comprometimento organizacional normativo (CON), satisfação no trabalho (STR) e comprometimento organizacional afetivo (COA). Participaram 275 profissionais, sendo 183 pertencentes ao setor administrativo e 92 ao setor administrativo-acadêmico de uma Instituição de Ensino Superior, situada na região do Grande ABCD Paulista e com inserção no estado de São Paulo. OS participantes do estudo tinham idade média de 32 anos, sendo a maioria (58,2%) do sexo feminino, com escolaridade em nível superior (39,6%) e tempo médio de trabalho na organização de quatro anos. Os dados coletados foram organizados em um banco de dados eletrônico para tratamento estatístico, quando se utilizou o aplicativo SPSS (Statistical Package for the Social Scienses). Foram realizadas análises descritivas das variáveis e análises de correlação e de regressão múltipla para os testes das cinco hipóteses. Todas as hipóteses foram confirmadas. Conclui-se então, que o presente estudo reforça as proposições de Siqueira (2002b) acerca da pertinência de se considerar os três conceitos analisados (PSO, PRO E CON) como integrantes do esquema mental de reciprocidade. Ainda, os resultados do estudo reafirmam as evidências acerca da capacidade preditiva do EMR sobre satisfação no trabalho e comprometimento organizacional afetivo. Por fim, a análise dos dados aponta percepção de suporte organizacional como sendo o componente cognitivo do EMR com maior poder de influência sobre satisfação no trabalho e comprometimento organizacional afetivo. Portanto, cognições acerca das relações de troca social com organizações antecedem satisfação e comprometimento afetivo que, por sua vez, são importantes fatores a favor da organização, contribuindo para sua efetividade.

Agent Based Models of Competition and Collaboration

Swarm intelligence is a popular paradigm for algorithm design. Frequently drawing inspiration from natural systems, it assigns simple rules to a set of agents with the aim that, through local interactions, they collectively solve some global problem. Current variants of a popular swarm based optimization algorithm, particle swarm optimization (PSO), are investigated with a focus on premature convergence. A novel variant, dispersive PSO, is proposed to address this problem and is shown to lead to increased robustness and performance compared to current PSO algorithms. A nature inspired decentralised multi-agent algorithm is proposed to solve a constrained problem of distributed task allocation. Agents must collect and process the mail batches, without global knowledge of their environment or communication between agents. New rules for specialisation are proposed and are shown to exhibit improved eciency and exibility compared to existing ones. These new rules are compared with a market based approach to agent control. The eciency (average number of tasks performed), the exibility (ability to react to changes in the environment), and the sensitivity to load (ability to cope with differing demands) are investigated in both static and dynamic environments. A hybrid algorithm combining both approaches, is shown to exhibit improved eciency and robustness. Evolutionary algorithms are employed, both to optimize parameters and to allow the various rules to evolve and compete. We also observe extinction and speciation. In order to interpret algorithm performance we analyse the causes of eciency loss, derive theoretical upper bounds for the eciency, as well as a complete theoretical description of a non-trivial case, and compare these with the experimental results. Motivated by this work we introduce agent "memory" (the possibility for agents to develop preferences for certain cities) and show that not only does it lead to emergent cooperation between agents, but also to a signicant increase in efficiency.

A taxonomy of heterogeneity and dynamics in particle swarm optimisation

We propose a taxonomy for heterogeneity and dynamics of swarms in PSO, which separates the consideration of homogeneity and heterogeneity from the presence of adaptive and non-adaptive dynamics, both at the particle and swarm level. It thus supports research into the separate and combined contributions of each of these characteristics. An analysis of the literature shows that most recent work has focussed on only parts of the taxonomy. Our results agree with prior work that both heterogeneity and dynamics are useful. However while heterogeneity does typically improve PSO, this is often dominated by the improvement due to dynamics. Adaptive strategies used to generate heterogeneity may end up sacrificing the dynamics which provide the greatest performance increase. We evaluate exemplar strategies for each area of the taxonomy and conclude with recommendations.

Laser tracker position optimization

This article presents a laser tracker position optimization code based on the tracker uncertainty model developed by the National Physical Laboratory (NPL). The code is able to find the optimal tracker positions for generic measurements involving one or a network of many trackers, and an arbitrary set of targets. The optimization is performed using pattern search or optionally, genetic algorithm (GA) or particle swarm optimization (PSO). Different objective function weightings for the uncertainties of individual points, distance uncertainties between point pairs, and the angular uncertainties between three points can be defined. Constraints for tracker position limits and minimum measurement distances have also been implemented. Furthermore, position optimization taking into account of lines-of-sight (LOS) within complex CAD geometry have also been demonstrated. The code is simple to use and can be a valuable measurement planning tool.

Laser tracker position optimization

This article presents a laser tracker position optimization code based on the tracker uncertainty model developed by the National Physical Laboratory (NPL). The code is able to find the optimal tracker positions for generic measurements involving one or a network of many trackers, and an arbitrary set of targets. The optimization is performed using pattern search or optionally, genetic algorithm (GA) or particle swarm optimization (PSO). Different objective function weightings for the uncertainties of individual points, distance uncertainties between point pairs, and the angular uncertainties between three points can be defined. Constraints for tracker position limits and minimum measurement distances have also been implemented. Furthermore, position optimization taking into account of lines-of-sight (LOS) within complex CAD geometry have also been demonstrated. The code is simple to use and can be a valuable measurement planning tool.

A novel algorithm of posture best fit based on key characteristics for large components assembly

Measurement and variation control of geometrical Key Characteristics (KCs), such as flatness and gap of joint faces, coaxiality of cabin sections, is the crucial issue in large components assembly from the aerospace industry. Aiming to control geometrical KCs and to attain the best fit of posture, an optimization algorithm based on KCs for large components assembly is proposed. This approach regards the posture best fit, which is a key activity in Measurement Aided Assembly (MAA), as a two-phase optimal problem. In the first phase, the global measurement coordinate system of digital model and shop floor is unified with minimum error based on singular value decomposition, and the current posture of components being assembly is optimally solved in terms of minimum variation of all reference points. In the second phase, the best posture of the movable component is optimally determined by minimizing multiple KCs' variation with the constraints that every KC respectively conforms to its product specification. The optimal models and the process procedures for these two-phase optimal problems based on Particle Swarm Optimization (PSO) are proposed. In each model, every posture to be calculated is modeled as a 6 dimensional particle (three movement and three rotation parameters). Finally, an example that two cabin sections of satellite mainframe structure are being assembled is selected to verify the effectiveness of the proposed approach, models and algorithms. The experiment result shows the approach is promising and will provide a foundation for further study and application. © 2013 The Authors.