Belen Riveiro

Associate Professor

Universidade de Vigo

Spain

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Dr. Belen Riveiro is an Associate Professor at the University of Vigo, Spain. Her research interests encompass structural assessment, damage identification, and the application of machine learning within civil engineering, particularly focusing on steel truss bridges and urban infrastructure. She has contributed to various studies, including the integration of remote sensing in infrastructure digitalization and innovative frameworks for optimizing concrete crack segmentation models.

Belen Riveiro

Research Interests

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About

Articles (19)

Reliability-based structural assessment of steel truss bridges subjected to failure scenarios

A hybrid data-physics framework with conformal GNN for enhanced damage identification

Latent resistance mechanisms of steel truss bridges after critical failures

Distributed AutoML framework for multi‐objective optimization of concrete crack segmentation models

From traditional damage detection methods to Physics-Informed Machine Learning in bridges: A review

Point Transformer Network-Based Surrogate Model for Spatial Prediction in Bridges

Remote Sensing in Bridge Digitalization: A Review

Empowering intermediate cities: cost-effective heritage preservation through satellite remote sensing and deep learning

Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning

Learning from failure propagation in steel truss bridges

Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

A holistic methodology for the non-destructive experimental characterization and reliability-based structural assessment of historical steel bridges

Point cloud semantic segmentation of complex railway environments using deep learning

Structural health control of historical steel structures using HBIM

Automatic Point Cloud Semantic Segmentation of Complex Railway Environments

First results of a methodology to obtain a 1D variable geometry model for the structural analysis of corroded steel beams from the point cloud

Fully automated methodology for the delineation of railway lanes and the generation of IFC alignment models using 3D point cloud data

Probabilistic-based structural assessment of a historic stone arch bridge

Scan-to-BIM for the infrastructure domain: Generation of IFC-complaint models of road infrastructure assets and semantics using 3D point cloud data

Collaborators (7)

Joaquín Martínez-Sánchez

Borja Conde

Antonio M. Ruiz-Armenteros

Oswaldo Morales Nápoles

Manuel Cabaleiro

Fikret Necati Catbas

Rolando Chacón

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