Papers

This article discusses collaborative ethnography as a meaningful source for spatial research, in particular, for participatory methodologies in urban planning and placemaking processes. It investigates the experiences with co-creation and co-research in different research projects to gain insight into the performance of collaborative ethnography as a technique to explore and enrich local knowledge. To better understand the possible causal relationships between the experience gained in the projects and the learnt lessons, we also identify recommendations for improving research methodologies to be applied in placemaking. This article concludes that collaborative ethnography is an effective tool for adding value to spatial co-research and co-creation processes. It opens opportunities for the co-production of space, ideas and knowledge, contributing at the same time to better informed decision-making. It also helps improve ideas and gather insights into the spatial needs of focus groups.

N/A

Physical modelling is a key tool for the characterisation of wave run-up and overtopping phenomena on maritime structures. Traditionally, these parameters have been measured using resistive wave gauges. Nowadays, modern non-intrusive methods have emerged. In particular, video cameras, combined with advanced video analysis such as the TimeStack method, provide a compelling alternative to conventional techniques. TimeStack involves the extraction of pixel arrays along a predetermined image line segment (transect) over the duration of the video. This results in a composite image, known as a TimeStack, which encapsulates the temporal evolution of the pixels. This study describes the application of the TimeStack method to assess the statistical parameters of wave run-up and overtopping events, as well as their spatial distribution in the 3D models of the Leixões breakwater. At the same time, an evaluation of the overtopping events and their extent is carried out in the 2D model of the Peniche breakwater. For the main section of the Leixões breakwater, statistical parameters of wave run-up (Rumax, Rumin, Rumean and Ru2%) derived from video analysis are determined for two sections (trunk and head) of the breakwater. In the case of the trunk section, the wave run-up was once again analysed for tests conducted under the same wave conditions but with different wave directions. Furthermore, the TimeStack method enables the determination of the zone of the breakwater that was most heavily overtopped and the range of overtopping distances. In the second case, it was possible to determine the number of overtopping events as well as statistical parameters such as hmax and h2%. These cases illustrate the advantages and disadvantages of the TimeStack method for different applications in scale model tests of breakwaters. The results confirm that video-based techniques are a viable alternative for measuring run-up across different sections of 3D scale models of breakwaters and for detecting overtopping events, including their peak heights and distances reached. Furthermore, this work outlines future improvements in image processing algorithms and procedural refinements aimed at mitigating some of the inherent drawbacks of the method.

Despite reinforced concrete bridges being highly durable, they remain susceptible to natural ageing and disasters, potentially impairing their performance over time. This drives an increase in maintenance, rehabilitation, and repair expenditure, accounting for half of the construction sector spending in developed nations. Structural and durability monitoring becomes crucial to establish long-term maintenance schedules and ensure safety throughout their lifespan. Typically, maintenance schemes rely on sensor systems that periodically or continuously collect information, utilizing various sensors such as electrical, optical, chemical, and sound sensors. Sensor reliability is subject to environmental factors, its own durability and potential power outages, which can temporarily or permanently interrupt data acquisition making difficult or even impossible damage detection. This study focuses on analyzing the evolution of concrete electrical resistivity over time in five repaired concrete zones instrumented with durability sensors to estimating corrosion progression. Based on a compiled and filled database by the authors, this research utilizes degradation models and correlation indices to estimate concrete cover deterioration. Leveraging over fourteen years of sensor data from a reinforced concrete structure, the study focuses on comprehending concrete resistivity evolution in repaired zones to gain insights into the loss of protective concrete cover characteristics to reinforcement corrosion. The study deliberates its findings and extends recommendations for applying this approach to other sensor analysis, enabling a more profound understanding of concrete structure health and longevity.

Floods pose a significant threat to road networks globally, disrupting transportation, isolating communities, and causing economic losses. This study proposes a four-stage methodology (avoidance, endurance, recovery, and adaptability) to enhance the resilience of road networks. We combine analysis of constructed assets and asset system performance with multiple disaster scenarios (Reactive Flood Response, Proactive Resilience Planning, and Early Warning Systems). Advanced flood Geospatial-AI models and open data sources pinpoint high-risk zones affecting crucial routes.The study investigates how resilient assets and infrastructure scenarios improve outcomes within Urban Resilience Index (CRI) planning, integrating performance metrics with cost

Os ensaios em modelo físico (Fig. 1) são utilizados como apoio ao projeto de quebra-mares detaludes, com o objetivo de avaliação do comportamento da solução projetada do ponto de vista daestabilidade hidráulica da estrutura. Esta avaliação do comportamento é efetuada através da evoluçãodo dano, para a qual são utilizadas duas metodologias distintas na avaliação do comportamento dasecção ensaiada: o método de contagem visual e o método do volume erodido.

ABSTRACTThis study aims to develop a Iaberatory method for the traceability of a rainfali weighing gauge, including an evaluation of the measurement uncertainty. The adopted procedure is similar to the one used for the non-automatic weighing instruments. A static approach is followed to achieve the caiibration deviation of the precipitation scale. The method used te evaluate the measurement uncertainty is based on a nonlinear mathematical model. The Monte Cano method is used to calculate uncertainties and validate estimates following the convencional Guide te the Expression of Uncertainty in Measurement (GUM) approach. Measurementuncertainty contributions of input quantities te the mathematical model used to calculate rainfail also require specific calibrationprocedures. Results show the

The concept of 15-min cities has recently received a lot of attention in recent research. However, the cleardefinition of a measurement for this concept has not yet been done at a neighborhood and city level across allcontinents and encompassing topological constraints. Yielding the question if 15 min is even the right indicator.In this study, we propose a method for determining how closely a city adheres to this concept using Open Data.We also propose an optimized method for generating communities that will assist us in discriminating walkability needs and validating generated communities. We discover that the number of communities meeting the 15-min target is inversely related to population growth and city area.

Em mais um artigo dedicado à reflexão sobre a habitação para as pessoas mais idosas numa perspetiva integrada e intergeracional, abordamos, especificamente e em primeiro lugar a questão do interesse e da oportunidade da abordagem da ideia de

This paper addresses the study of renders and plasters