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#machine learning Preprint Sep 2026

Seismic Site Response Prediction from Sparse Observations Using Finite-Element-Pretrained Latent Dynamics

Numerical site-response predictions often deviate from observations, yet correcting these discrepancies is difficult because records are limited in both sensor coverage and number of events. This study proposes the Transfer-Enabled Forced Latent Autoencoder for Response Equations (FLARE-T) to improve these predictions...

Yi Zhu, Su Chen, Xiao-Jun Li · 0 citations
Open access Aug 2026

Seismic Response Prediction of a 2D Single-Story Steel Frame Using Physics-Guided Support Vector Regression Ensemble

Predicting the nonlinear seismic response of structures that have entered the plastic range under strong ground motions is severely constrained by data scarcity and computational cost. In this article, to address this dual challenge, we propose a physics-guided ensemble model based on Support Vector Regression. A finit...

Wan-Qi Zheng, Ai-Fu Sun, Han-Wei Wang et al. · 0 citations
Open access Aug 2026

Spatiotemporal seismic attribute prediction via SA-GNN and physics-constrained LSTM

The accuracy of seismic attribute prediction directly affects the interpretation of underground structures and the identification of oil and gas reservoirs. In view of the difficulty of traditional methods in modeling non-Euclidean spatial dependencies and physical dynamics, this paper proposes a joint prediction met...

Guo-Qing Chen, Tian-Wen Zhao, Cong Pang et al. · 0 citations
Open access Sep 2026

Machine-Learning-Aided First Natural Frequency Estimation for Masonry Building Archetypes

Masonry buildings represent a significant portion of the existing building stock and are particularly vulnerable to seismic actions, making their reliable dynamic characterization essential for seismic assessment, risk mitigation, and retrofit prioritization. Among their global dynamic properties, the first natural fre...

Ali Ekber Sever, Pınar Usta Evci, Daniel Caicedo et al. · 0 citations
Preprint Sep 2026

Regional-scale nonlinear structural response simulation using building-specific Bouc-Wen models

Regional seismic assessments often assign structural properties by building archetype, limiting their representation of building-specific responses. This study develops a modular physics-regularized framework for identifying equivalent single-degree-of-freedom Bouc--Wen models from seismic input--response histories. A...

Sebin Oh, Taeyong Kim · 0 citations
Open access Aug 2026

Training-Free Structural Damage Localization Using Spatial-Correlation Sensor Networks: Full-Scale Validation on a Seven-Story Reinforced-Concrete Building

Damage identification in instrumented structures is often framed through modal-parameter changes, finite element updating, or supervised classifiers. These approaches are powerful, but they require an explicit structural model, identified modes, labeled damage cases, or expert choices about reference sensors. This pape...

Esmaeil Ghorbani, Jürgen Hackl · 0 citations

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