Edifícios altos – problemas associados e análise estrutural de um caso prático

Com a presente dissertação pretende-se analisar alguns dos problemas associados aos edifícios altos, na fase de projeto, bem como compilar um conjunto de informações e conhecimentos científicos sobre a área abordada. São descritas algumas soluções de sistemas estruturais possíveis de idealizar para edifícios altos. Posteriormente, tendo por base um projeto de estruturas de um edifício com 25 pisos localizado em Luanda, capital de Angola, o objetivo consistiu em analisar estática e dinamicamente o seu comportamento quando solicitado fundamentalmente pelas ações do vento e dos sismos. A análise estrutural foi realizada com recurso a dois softwares de cálculo automático, nomeadamente, o Cypecad e o Robot Structural Analysis Professional e pelos métodos preconizados no Regulamento de Segurança e Ações para estruturas de edifícios e pontes e o Eurocódigo 8 – “Projeto de estruturas para resistência aos sismos”. Aborda-se a temática do faseamento construtivo, assunto que revela algumas limitações dos programas de cálculo utilizados, sendo descrito um método simplificado para prever os seus efeitos em termos de dimensionamento final. Os resultados obtidos permitiram avaliar o bom comportamento da estrutura no que respeita ao cumprimento dos estados limites últimos e de serviço. Conclui-se que o sistema estrutural adotado no modelo em estudo se encontra bem dimensionado relativamente ao colapso e à limitação de danos.

A fractional approach for the motion planning of redundant and hyper-redundant manipulators

The trajectory planning of redundant robots through the pseudoinverse control leads to undesirable drift in the joint space. This paper presents a new technique to solve the inverse kinematics problem of redundant manipulators, which uses a fractional differential of order α to control the joint positions. Two performance measures are defined to examine the strength and weakness of the proposed method. The positional error index measures the precision of the manipulator's end-effector at the target position. The repeatability performance index is adopted to evaluate if the joint positions are repetitive when the manipulator execute repetitive trajectories in the operational workspace. Redundant and hyper-redundant planar manipulators reveal that it is possible to choose in a large range of possible values of α in order to get repetitive trajectories in the joint space.

An evolutionary approach for the motion planning of redundant and hyper-redundant manipulators

The trajectory planning of redundant robots is an important area of research and efficient optimization algorithms are needed. The pseudoinverse control is not repeatable, causing drift in joint space which is undesirable for physical control. This paper presents a new technique that combines the closed-loop pseudoinverse method with genetic algorithms, leading to an optimization criterion for repeatable control of redundant manipulators, and avoiding the joint angle drift problem. Computer simulations performed based on redundant and hyper-redundant planar manipulators show that, when the end-effector traces a closed path in the workspace, the robot returns to its initial configuration. The solution is repeatable for a workspace with and without obstacles in the sense that, after executing several cycles, the initial and final states of the manipulator are very close.

Person Localization Using Sensor Information Fusion

Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is difficult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to suppress this limitation and to provide location everywhere (even where a structured environment doesn’t exist) a wearable inertial navigation system is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors.