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A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes

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Bibliographic Details
Published in:International Journal of Concrete Structures and Materials
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title International Journal of Concrete Structures and Materials
description
discipline_display Building and Construction
discipline_facet Building and Construction
format Online Article
RSS Article
genre Journal Article
id rss_article:80671
institution FRELIP
journal_source_facet International Journal of Concrete Structures and Materials
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes
Building and Construction
General
Building and Construction
sub_discipline_display General
sub_discipline_facet General
subject_display Building and Construction
General
Building and Construction
Building and Construction
General
Building and Construction
subject_facet Building and Construction
General
Building and Construction
title A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes
title_auth A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes
title_full A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes
title_fullStr A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes
title_full_unstemmed A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes
title_short A Hybrid Finite-Element–Machine-Learning Framework for Predicting Load Capacity and Eccentricity Effects in Circular Concrete-Filled Steel Tubes
title_sort a hybrid finite-element–machine-learning framework for predicting load capacity and eccentricity effects in circular concrete-filled steel tubes
topic Building and Construction
General
Building and Construction
url https://link.springer.com/article/10.1186/s40069-025-00875-0