A5002292624- Dam Engineering and Safety
- Hydraulic flow and structures
- Hydrology and Sediment Transport Processes
- Structural Health Monitoring Techniques
- Geotechnical Engineering and Underground Structures
- Water Systems and Optimization
- Infrastructure Maintenance and Monitoring
- Geophysical Methods and Applications
- Flood Risk Assessment and Management
- Geological and Geophysical Studies Worldwide
- Geography and Environmental Studies
- Photovoltaic System Optimization Techniques
- Flow Measurement and Analysis
- Geochemistry and Geologic Mapping
- Simulation Techniques and Applications
- Distributed and Parallel Computing Systems
- Electrical Fault Detection and Protection
- Parasites and Host Interactions
- Concrete Corrosion and Durability
- Geological and Geochemical Analysis
- Non-Destructive Testing Techniques
- Grouting, Rheology, and Soil Mechanics
- Tailings Management and Properties
- Power Systems and Renewable Energy
- Concrete and Cement Materials Research
National Laboratory for Civil Engineering
2011-2025
Lusíada University of Lisbon
2010
University of Lisbon
2010
In its lifetime, a dam can be exposed to significant water level variations and seasonal environmental temperature changes. The structural safety control of concrete is supported by monitoring activities based on models. practice, the interpretation recorded displacements usually HST (hydrostatic, seasonal, time) statistical These models are widely used consider that thermal effect represented function. main purpose this paper present an HTT thermal, model interpret displacements. idea...
The nowadays-available dynamic monitoring equipment integrating sensitive low-noise sensors creates an opportunity to implement continuously operating systems in dams and validate the suitability of these monitor such massive structures with goal detecting damage. continuous characterisation dam modal properties during important variations water level temperature is a unique experimental result, which particularly interesting for calibration numerical models that consider water–structure...
The main aim of structural safety control is the multiple assessments expected dam behaviour based on models and measurements parameters that characterise dam’s response condition. In recent years, there an increase in use data-based for analysis interpretation dams. Multiple Linear Regression conventional, widely used approach engineering, although interesting results have been published machine learning algorithms such as artificial neural networks, support vector machines, random forest,...
Over the past few decades, a significant number of large concrete structures with deterioration problems related to alkali–silica reaction (ASR) have been identified in Portugal and worldwide. Assessing condition ASR-affected dams involves both diagnosis prognosis. Diagnosis evaluates structure’s current state, while prognosis predicts safety implications. This is key estimate period during which structure will effectively perform its function, essential for timely cost-effective planning...
This study analyzed the physical and bacterial composition of canals on Muralla Street in Intramuros, Manila. Canals samples were collected from five schools: Colegio de San Juan Letran (CSJL), Lyceum Philippines University (LPU), Mapua (MU), Pamantasan ng Lungsod Maynila (PLM), Manila High School (MHS). Physical properties following APHA 1985 methods used Okechukwu Obire's study. Bacterial enumeration serial dilution spread plate techniques to obtain total viable count (TVC). Analysis...
Dam surveillance activities are based on observing the structural behaviour and interpreting past supported by knowledge of main loads. For day-to-day activities, data-driven models usually adopted. Most applications consider regression for analysis horizontal displacements recorded in pendulums. Traditional not commonly applied to relative movements between blocks due non-linearities related simultaneity hydrostatic thermal effects. A new application a multilayer perceptron neural network...
The hydrostatic-season-time (HST) model is a widely used method in the safety assessment of dams and for estimation reversible irreversible deformations due to different load scenarios. After implementing an optimal HST-model observational data, residual time series can still expose some underlying periodicities. In our contribution, periodicities their contribution minimisation are further analysed by Lomb–Scargle normalised periodogram frequency method. extended HST-model, obtained adding...
Dams have played a vital role in human civilization for thousands of years, providing resources such as water and electricity, performing important functions flood control [...]
Abstract Mapping the structural responses based on main loads to characterize signature of complex structures with high-dimensional features is a determinant factor for health monitoring (SHM). Current technological advances contribute optimization data analysis, aiming make process less demanding in terms time and computational demand. Machine learning (ML) models became popular due their capacity estimate behaviour measurements gathered by SHM systems. This work proposes methodology...
Operational Modal Analysis is a reliable methodology for the assessment of civil engineering structures, allowing accurate definition their dynamic behavior. Additionally, since it does not require use artificial excitation, becomes cost-effective choice performance singular tests, as well consistent option long-term continuous monitoring structures. Nevertheless, modal characteristics structures are affected by environmental and operational conditions, concealing variations that could...