B. Riveiro
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View article: Latent resistance mechanisms of steel truss bridges after critical failures
Latent resistance mechanisms of steel truss bridges after critical failures Open
Steel truss bridges are constructed by connecting many different types of bars (components) to form a load-bearing structural system. Several disastrous collapses of this type of bridge have occurred as a result of initial component failur…
View article: A hybrid data-physics framework with conformal GNN for enhanced damage identification
A hybrid data-physics framework with conformal GNN for enhanced damage identification Open
Structural damage identification is crucial for ensuring safety, yet existing data-driven and physics-based methods often suffer from accuracy and computational limitations. To address these issues, we propose a hybrid framework that integ…
View article: Integrated software platform for the structural health control of historical constructions and numerical model calibration (HH-Structures)
Integrated software platform for the structural health control of historical constructions and numerical model calibration (HH-Structures) Open
View article: Reliability-based structural assessment of steel truss bridges subjected to failure scenarios
Reliability-based structural assessment of steel truss bridges subjected to failure scenarios Open
Economic losses of bridge failures can mount to millions of dollars per day and spiral quickly. In particular, steel truss bridges are highly vulnerable to member failures, which, if propagated, can cause severe disruptions to the entire s…
View article: Reliability-based vulnerability assessment of steel truss bridge components
Reliability-based vulnerability assessment of steel truss bridge components Open
Bridges are among the most vulnerable and expensive assets of transportation networks. The failure of a bridge component can lead to catastrophic consequences for the entire structure. Therefore, vulnerability assessments have gained promi…
View article: Distributed <scp>AutoML</scp> framework for multi‐objective optimization of concrete crack segmentation models
Distributed <span>AutoML</span> framework for multi‐objective optimization of concrete crack segmentation models Open
Monitoring cracks in concrete surfaces is essential for structural safety. While machine vision techniques have received significant interest in this domain, selecting optimal models and tuning hyperparameters remain challenging. This pape…
View article: Point Transformer Network-Based Surrogate Model for Spatial Prediction in Bridges
Point Transformer Network-Based Surrogate Model for Spatial Prediction in Bridges Open
Bridges are essential assets of inland transportation infrastructure; however, they are among the most vulnerable elements of these networks due to deterioration caused by aging and the increasing loads to which they are subjected over tim…
View article: Remote Sensing in Bridge Digitalization: A Review
Remote Sensing in Bridge Digitalization: A Review Open
A review of the application of remote sensing technologies in the SHM and management of existing bridges is presented, showing their capabilities and advantages, as well as the main drawbacks when specifically applied to bridge assets. The…
View article: Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning
Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning Open
In our contemporary cities, infrastructures face a diverse range of risks, including those caused by climatic events. The availability of monitoring technologies such as remote sensing has opened up new possibilities to address or mitigate…
View article: Risks of bridge collapses are real and set to rise — here’s why
Risks of bridge collapses are real and set to rise — here’s why Open
View article: Methodology for the Integration of Structural Health Assessment of Masonry Bridges into HBIM
Methodology for the Integration of Structural Health Assessment of Masonry Bridges into HBIM Open
[EN] A methodology is proposed to efficiently develop BIM models of masonry arch bridges, with the objective of generating databases (Level of Information, LoI) associated with 3D geometrical models, incorporating different levels of detai…
View article: Structural health monitoring of concrete constructions using BIM and non-destructive techniques
Structural health monitoring of concrete constructions using BIM and non-destructive techniques Open
View article: Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models
Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models Open
The cost of obtaining large volumes of bridge data with technologies like laser scanners hinders the training of deep learning models. To address this, this paper introduces a new method for creating synthetic point clouds of truss bridges…
View article: Gaussian Copula-based Bayesian network approach for characterizing spatial variability in aging steel bridges
Gaussian Copula-based Bayesian network approach for characterizing spatial variability in aging steel bridges Open
View article: Preventing failure propagation in steel truss bridges
Preventing failure propagation in steel truss bridges Open
Metal and steel truss bridges are essential for transportation networks worldwide but are vulnerable to collapse due to deterioration and increasing traffic loads, particularly for ageing structures. Several bridge collapses, such as the S…
View article: Dual Frequency Real Aperture Radar Monitoring of a Railway Bridge
Dual Frequency Real Aperture Radar Monitoring of a Railway Bridge Open
Different studies demonstrated that the monitoring of the vibrational characteristics of bridges can be fostered using real aperture radar interferometers. Commercial systems operating at Ku band have been made available to the users since…
View article: Initiation and propagation of failures in steel truss bridges
Initiation and propagation of failures in steel truss bridges Open
Bridge collapses are catastrophic events with countless consequences. However, bridge engineering has progressed thanks to the knowledge acquired analyzing collapsed structures. In this direction, modern forensic techniques allow detecting…
View article: Model updating of in‐service bridges using multidisciplinary research ‐ case studies in Spain
Model updating of in‐service bridges using multidisciplinary research ‐ case studies in Spain Open
This paper presents several experiences focused to create and update accurate numerical models of ageing bridges in Spain. The experimental campaigns included integration of various NDT technologies such as laser scanning, ultrasounds, etc…
View article: Anticipating the Collapse of Urban Infrastructure: A Methodology Based on Earth Observation and MT-InSAR
Anticipating the Collapse of Urban Infrastructure: A Methodology Based on Earth Observation and MT-InSAR Open
Large-scale infrastructure monitoring and vulnerability assessment are crucial for the preservation and maintenance of built environments. To ensure the safety of urban infrastructure against natural and man-made disasters, constant monito…
View article: BIM methodology for cost analysis, sustainability, and management of steel structures with reconfigurable joints for industrial structures
BIM methodology for cost analysis, sustainability, and management of steel structures with reconfigurable joints for industrial structures Open
One of the main objectives set for future factories, and for Industry 4.0, is to reduce the CO2 footprint of industrial plants and their buildings as much as possible. This objective must be compatible with economic savings, an essential r…
View article: Learning from failure propagation in steel truss bridges
Learning from failure propagation in steel truss bridges Open
Although truss-type bridge collapses usually have catastrophic consequences, their analysis present opportunities for improving different aspects in the field of bridge engineering, such as structural assessment, structural health monitori…
View article: Multi-objective optimization-based model calibration of masonry bridges
Multi-objective optimization-based model calibration of masonry bridges Open
Multi-objective optimization-based model calibration can be an intermediate solution between the computationally expensive probabilistic approaches and the single-objective optimization strategies that do not allow uncertainty quantificati…
View article: IDENTIFICATION OF RELEVANT POINT CLOUD GEOMETRIC FEATURES FOR THE DETECTION OF PAVEMENT CRACKS USING MLS DATA
IDENTIFICATION OF RELEVANT POINT CLOUD GEOMETRIC FEATURES FOR THE DETECTION OF PAVEMENT CRACKS USING MLS DATA Open
The maintenance of road infrastructures is one of the main challenges that transportation authorities must face to guarantee the safe mobility of people and goods. Novel remote monitoring technologies offer advanced solutions for this issu…
View article: Deterministic and probabilistic-based model updating of aging steel bridges
Deterministic and probabilistic-based model updating of aging steel bridges Open
Numerical modeling is a very useful tool in different fields of bridge engineering, such as load-carrying capacity assessment or structural health monitoring. Developing a reliable computational model that accurately represents the actual …
View article: Design and testing of a decision tree algorithm for early failure detection in steel truss bridges
Design and testing of a decision tree algorithm for early failure detection in steel truss bridges Open
This paper develops a methodology for damage identification in steel truss bridges that uses vibration-based monitoring data and a model-based decision tree algorithm. The methodology resorts to a calibrated FE model with an optimization-b…
View article: Instance and semantic segmentation of point clouds of large metallic truss bridges
Instance and semantic segmentation of point clouds of large metallic truss bridges Open
Several methods have been developed for the semantic segmentation of reinforced concrete bridges, however, there is a gap for truss bridges. Therefore, in this study a state-of-the-art methodology for the instance and semantic segmentation…
View article: Multimodal deep learning for point cloud panoptic segmentation of railway environments
Multimodal deep learning for point cloud panoptic segmentation of railway environments Open
The demand for transportation asset digitalisation has significantly increased over the years. For this purpose, mobile mapping systems (MMSs) are among the most popular technologies that allow capturing high precision three-dimensional po…
View article: Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds
Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds Open
[EN] The IFC schema has been evolving towards the infrastructure domain. Furthermore, the use of laser scanning technologies as means to digitalize and monitor infrastructures has also significantly increased. This work presents an automat…
View article: 3D POINT CLOUD TO BIM: AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADS
3D POINT CLOUD TO BIM: AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADS Open
The growing trend of developing standards of information exchange and management processes is leading to Building Information Models (BIM) being adapted to work with linear infrastructure assets. For this reason, the Industry Foundation Cl…
View article: TOWARDS MORE RESILIENT SMART CITIES: MT-InSAR MONITORING OF URBAN INFRASTRUCTURE USING MACHINE LEARNING TECHNIQUES
TOWARDS MORE RESILIENT SMART CITIES: MT-InSAR MONITORING OF URBAN INFRASTRUCTURE USING MACHINE LEARNING TECHNIQUES Open
Global climate change makes the maintenance and resilience of cities one of the greatest challenges facing civilization. Constant monitoring is essential work to determine if the city and its infrastructure are well preserved. This monitor…