Cover Image

BridgeNet: A Dataset of Graph-based Bridge Structural Models for Machine Learning Applications

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bleker, Lazlo, Güneş, Mustafa Cem, D'Acunto, Pierluigi
Format:	Preprint
Published:	2025
Subjects:	Computational Engineering, Finance, and Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Text2Structure3D: Graph-Based Generative Modeling of Equilibrium Structures with Diffusion Transformers
by: Bleker, Lazlo, et al.
Published: (2026)

Bridging the Gap Between Data-Driven And Theory-Driven Modelling - Leveraging Causal Machine Learning for Integrative Modelling of Dynamical Systems
by: Gonzalez, David Zapata, et al.
Published: (2024)

Surrogate Structure-Specific Probabilistic Dynamic Responses of Bridge Portfolios using Deep Learning with Partial Information
by: Ning, Chunxiao, et al.
Published: (2025)

Synthesis of Service Life Prediction for Bridges in Texas
by: Gao, Lu, et al.
Published: (2025)

Hybrid Fusion for Battery Degradation Diagnostics Using Minimal Real-World Data: Bridging Laboratory and Practical Applications
by: Liu, Yisheng, et al.
Published: (2024)

Efficient Multi-Objective Constrained Bayesian Optimization of Bridge Girder
by: Røstum, Heine Havneraas, et al.
Published: (2025)

Voltage-Based Unsupervised Learning Framework for Bridge Damage Detection in Simultaneous Energy Harvesting and Sensing Systems
by: Yao, S., et al.
Published: (2025)

Bridging Computational Fluid Dynamics Algorithm and Physics-Informed Learning: SIMPLE-PINN for Incompressible Navier-Stokes Equations
by: Wei, Chang, et al.
Published: (2026)

Singularity Protocol for Cross Chain AMM without Intermediate Tokens or Bridges
by: Vohra, Sumit
Published: (2025)

Towards Real-time Structural Dynamics Simulation with Graph-based Digital Twin Modelling
by: Zhang, Jun, et al.
Published: (2025)

Bridging Simulation and Experiment: A Self-Supervised Domain Adaptation Framework for Concrete Damage Classification
by: Xu, Chen, et al.
Published: (2025)

The role of physical models in the validation and calibration of numerical models -- The example of the Lillebælt Bridge
by: Wunderlich, Paula Apollonia, et al.
Published: (2026)

Fast Stochastic Subspace Identification of Densely Instrumented Bridges Using Randomized SVD
by: Tomassini, Elisa, et al.
Published: (2024)

SpecBridge: Bridging Mass Spectrometry and Molecular Representations via Cross-Modal Alignment
by: Wang, Yinkai, et al.
Published: (2026)

Bridging Farm Economics and Landscape Ecology for Global Sustainability through Hierarchical and Bayesian Optimization
by: Dsouza, Kevin Bradley, et al.
Published: (2025)

RoofNet: A Global Multimodal Dataset for Roof Material Identification from Earth Observation
by: Tarver, Benjamin, et al.
Published: (2025)

GrifFinNet: A Graph-Relation Integrated Transformer for Financial Predictions
by: Dai, Chenlanhui, et al.
Published: (2025)

$μ$-FlowNet: A Deep Learning Approach for Mapping Flow Fields in Irregular Microchannels Using an Attention-based U-Net Encoder-Decoder Architecture
by: Meshram, Ganesh Sahadeo, et al.
Published: (2026)

Attention-based Multi-fidelity Machine Learning Model for Computational Fractional Flow Reserve Assessment
by: Yang, Haizhou, et al.
Published: (2023)

Bridging Sequential Deep Operator Network and Video Diffusion: Residual Refinement of Spatio-Temporal PDE Solutions
by: Park, Jaewan, et al.
Published: (2025)

Multi-Objective Loss Balancing in Physics-Informed Neural Networks for Fluid Flow Applications
by: Farea, Afrah, et al.
Published: (2025)

Interpretable Machine Learning Models for Predicting the Next Targets of Activist Funds
by: Kim, Minwu, et al.
Published: (2024)

Machine Learning (ML) based Reduced Order Modeling (ROM) for linear and non-linear solid and structural mechanics
by: Tannous, Mikhael, et al.
Published: (2025)

Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations
by: Tiba, Azzeddine, et al.
Published: (2024)

Blockchain and Stablecoin Integration for Crowdfunding: A framework for enhanced efficiency, security, and liquidity
by: Unsal, Mustafa Savas
Published: (2025)

Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
by: Sanger, Morgan D., et al.
Published: (2025)

Machine Learning Approaches for Defect Detection in a Microwell-based Medical Device
by: Zhao, Xueying, et al.
Published: (2024)

Scientific Machine Learning-assisted Model Discovery from Telemetry Data
by: Micluta-Campeanu, Sebastian, et al.
Published: (2026)

Finite Element and Machine Learning Modeling of Autogenous Self-Healing Concrete
by: Liu, William
Published: (2025)

Machine Learning Surrogates for Optimizing Transportation Policies with Agent-Based Models
by: Natterer, Elena, et al.
Published: (2025)

An Expedient Approach to FDTD-based Modeling of Finite Periodic Structures
by: Kogon, Aaron J., et al.
Published: (2020)

OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery
by: Liu, Qi, et al.
Published: (2026)

Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
by: Liu, Fang, et al.
Published: (2024)

Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs
by: Rezaei, Shahed, et al.
Published: (2024)

A Cutting Mechanics-based Machine Learning Modeling Method to Discover Governing Equations of Machining Dynamics
by: Ren, Alisa, et al.
Published: (2025)

Learning Fluid-Structure Interaction with Physics-Informed Machine Learning and Immersed Boundary Methods
by: Farea, Afrah, et al.
Published: (2025)

Single Atom Convolutional Matching Pursuit: Theoretical Framework and Application to Lamb Waves based Structural Health Monitoring
by: Rodriguez, Sebastian, et al.
Published: (2024)

An Efficient PGD Solver for Structural Dynamics Applications
by: Vella, Clément, et al.
Published: (2024)

Applications of Machine Learning to Optimizing Polyolefin Manufacturing
by: Sharma, Niket, et al.
Published: (2024)

Modeling Batch Crystallization under Uncertainty Using Physics-informed Machine Learning
by: Nai, Dingqi, et al.
Published: (2026)