Paulo B Lourenço
Biographic Data
| ID | 1765685 |
|---|---|
| NAME | Paulo B Lourenço |
| GIVEN NAMES | Paulo B |
| FAMILY NAME | Lourenço |
| SIGNATURE | LOURENÇO P B |
| AFFILIATIONS | University of Minho |
| ORCID | 0000-0001-8459-0199 |
| VERIFIED | Yes |
| TOTAL WORKS | 12 |
| TOTAL CITATIONS | 21 |
| AUTHOR COUNT | 12 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
A deep learning-driven mobile application for monitoring of tile degradation in heritage buildings
Heritage buildings are vulnerable to gradual deterioration, making continuous inspection and regular maintenance essential for preventive conservation. However, conventional inspection methods rely heavily on manual on-site fieldwork, specialized heritage knowledge, and skilled personnel. This study presents an artificial intelligence-powered mobile application for real-time, on-site monitoring of tile degradation in heritage buildings. The devel…
Safeguarding Heritage Under Conflict
Man-made hazards pose serious threats to the safety and preservation of heritage structures. With armed conflict becoming increasingly prominent, it is urgent to enhance our understanding of how these structures respond under extreme conditions to drive conservation strategies. The Citadel of Aleppo in Syria, placed on the List of World Heritage in Danger in 2013 due to the civil war, tragically exemplifies the vulnerability of cultural heritage …
Earthquake vulnerability assessment of non-engineered URM residential buildings
In many developing countries, unreinforced masonry (URM) buildings are often constructed without following established engineering practices, increasing the risk in seismically active areas. It is therefore imperative to develop a practical and cost-effective method for assessing the seismic vulnerability of these types of residential structures. This study focuses on the development of an approach to assess the seismic vulnerability of non-engin…
Generative modelling of Monopteros and Tholos temples using existing data
Generative programming enables the creation of digital representations of built cultural heritage. • The Vesta temple in Tivoli was chosen as a case study for this research. • Francesco Piranesi's 18th-century etchings informed the layout and modular design. • The workflow allows the generating of exportable files compatible with simulation software. • Parametric modelling provides high reusability and adaptability of algorithms. This paper prese…
A framework for multi-risk assessment in a historical area of Lisbon
Historic areas have faced escalating risks due to population growth, urbanization, climate change, and increasing public awareness. Existing risk assessment methods often focus on individual hazards, necessitating a more integrated approach. This research introduces a comprehensive multi-risk model to assess the potential impacts of rainfall and earthquakes on Lisbon's historic city centre. The model considers key risk components – hazard, exposu…
Artificial intelligence-assisted visual inspection for cultural heritage
Applying computer science techniques such as artificial intelligence (AI), deep learning (DL), and computer vision (CV) on digital image data can help monitor and preserve cultural heritage (CH) sites. Defects such as weathering, removal of mortar, joint damage, discoloration, erosion, surface cracks, vegetation, seepage, and vandalism and their propagation with time adversely affect the structural health of CH sites. Several studies have reporte…
Deep learning-based automated tile defect detection system for Portuguese cultural heritage buildings
A prominent feature in Portuguese historic architecture is Portugal’s azulejos or tiles that cover cultural heritage buildings with colorful patterns. However, tiles are prone to deterioration due to the quality of masonry materials, exposure over time, and natural and human factors. A careful approach is necessary to detect and assess tile damage in time to conserve cultural heritage. Deep learning (DL) methods are applied to detect deterioratio…
Damage classification of residential buildings in historical downtown after the ML5.5 earthquake in Zagreb, Croatia in 2020
Advanced non-destructive techniques for the diagnosis of historic buildings
Interplay between the potential of photovoltaic systems and agricultural land use
Traditional earthquake resistant techniques for vernacular architecture and local seismic cultures
The importance of structural monitoring as a diagnosis and control tool in the restoration process of heritage structures
The paper discusses the monitoring-based approach unfolded to evaluate the health condition of a heritage structure in Portugal. An extensive experimental campaign, including geometric survey, visual inspections, damage diagnosis, monitoring and control, is carried out to support and evaluate the actions undertaken to re-establish the structural strength. The paper focuses on the analysis of case-specific static and dynamic parameters deemed repr…
Artificial intelligence-assisted visual inspection for cultural heritage
Applying computer science techniques such as artificial intelligence (AI), deep learning (DL), and computer vision (CV) on digital image data can help monitor and preserve cultural heritage (CH) sites. Defects such as weathering, removal of mortar, joint damage, discoloration, erosion, surface cracks, vegetation, seepage, and vandalism and their propagation with time adversely affect the structural health of CH sites. Several studies have reporte…
Interplay between the potential of photovoltaic systems and agricultural land use
The importance of structural monitoring as a diagnosis and control tool in the restoration process of heritage structures
The paper discusses the monitoring-based approach unfolded to evaluate the health condition of a heritage structure in Portugal. An extensive experimental campaign, including geometric survey, visual inspections, damage diagnosis, monitoring and control, is carried out to support and evaluate the actions undertaken to re-establish the structural strength. The paper focuses on the analysis of case-specific static and dynamic parameters deemed repr…
Traditional earthquake resistant techniques for vernacular architecture and local seismic cultures
The importance of structural monitoring as a diagnosis and control tool in the restoration process of heritage structures
The paper discusses the monitoring-based approach unfolded to evaluate the health condition of a heritage structure in Portugal. An extensive experimental campaign, including geometric survey, visual inspections, damage diagnosis, monitoring and control, is carried out to support and evaluate the actions undertaken to re-establish the structural strength. The paper focuses on the analysis of case-specific static and dynamic parameters deemed repr…
Interplay between the potential of photovoltaic systems and agricultural land use
Advanced non-destructive techniques for the diagnosis of historic buildings
Damage classification of residential buildings in historical downtown after the ML5.5 earthquake in Zagreb, Croatia in 2020
A framework for multi-risk assessment in a historical area of Lisbon
Historic areas have faced escalating risks due to population growth, urbanization, climate change, and increasing public awareness. Existing risk assessment methods often focus on individual hazards, necessitating a more integrated approach. This research introduces a comprehensive multi-risk model to assess the potential impacts of rainfall and earthquakes on Lisbon's historic city centre. The model considers key risk components – hazard, exposu…
Artificial intelligence-assisted visual inspection for cultural heritage
Applying computer science techniques such as artificial intelligence (AI), deep learning (DL), and computer vision (CV) on digital image data can help monitor and preserve cultural heritage (CH) sites. Defects such as weathering, removal of mortar, joint damage, discoloration, erosion, surface cracks, vegetation, seepage, and vandalism and their propagation with time adversely affect the structural health of CH sites. Several studies have reporte…
Deep learning-based automated tile defect detection system for Portuguese cultural heritage buildings
A prominent feature in Portuguese historic architecture is Portugal’s azulejos or tiles that cover cultural heritage buildings with colorful patterns. However, tiles are prone to deterioration due to the quality of masonry materials, exposure over time, and natural and human factors. A careful approach is necessary to detect and assess tile damage in time to conserve cultural heritage. Deep learning (DL) methods are applied to detect deterioratio…
Earthquake vulnerability assessment of non-engineered URM residential buildings
In many developing countries, unreinforced masonry (URM) buildings are often constructed without following established engineering practices, increasing the risk in seismically active areas. It is therefore imperative to develop a practical and cost-effective method for assessing the seismic vulnerability of these types of residential structures. This study focuses on the development of an approach to assess the seismic vulnerability of non-engin…
Generative modelling of Monopteros and Tholos temples using existing data
Generative programming enables the creation of digital representations of built cultural heritage. • The Vesta temple in Tivoli was chosen as a case study for this research. • Francesco Piranesi's 18th-century etchings informed the layout and modular design. • The workflow allows the generating of exportable files compatible with simulation software. • Parametric modelling provides high reusability and adaptability of algorithms. This paper prese…
A deep learning-driven mobile application for monitoring of tile degradation in heritage buildings
Heritage buildings are vulnerable to gradual deterioration, making continuous inspection and regular maintenance essential for preventive conservation. However, conventional inspection methods rely heavily on manual on-site fieldwork, specialized heritage knowledge, and skilled personnel. This study presents an artificial intelligence-powered mobile application for real-time, on-site monitoring of tile degradation in heritage buildings. The devel…
Safeguarding Heritage Under Conflict
Man-made hazards pose serious threats to the safety and preservation of heritage structures. With armed conflict becoming increasingly prominent, it is urgent to enhance our understanding of how these structures respond under extreme conditions to drive conservation strategies. The Citadel of Aleppo in Syria, placed on the List of World Heritage in Danger in 2013 due to the civil war, tragically exemplifies the vulnerability of cultural heritage …
Engineering (9 works) · 3D Surveying and Cultural Heritage (6 works) · Archaeology (6 works) · Computer Science (6 works) · Cultural heritage (5 works) · Forensic engineering (5 works) · Geography (5 works) · Civil engineering (4 works) · Masonry and Concrete Structural Analysis (4 works) · Artificial Intelligence (3 works)