{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T11:36:29Z","timestamp":1776512189785,"version":"3.51.2"},"reference-count":71,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T00:00:00Z","timestamp":1736467200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Buildings"],"abstract":"<jats:p>In structures with reinforced concrete walls, coupling beams join individual walls to produce a rigid assembly that withstands sideways forces. A precise forecasting of the critical shear capacity is essential to avoid early shear failure and attain the desired ductility performance of coupled shear wall systems in earthquake design. This paper examines the ability of Support Vector Regression (SVR) in predicting the shear performance of coupling beams. SVR is a distinguished machine learning regression method that has been positively utilized in former works to forecast the performance of several structural members. Nevertheless, the capability of this regression method deeply relies on picking its best hyperparameters. To handle this, a heuristic optimization procedure named Particle Swarm Optimization (PSO) was merged with SVR to select the optimal hyperparameters. The data of RC coupling beams collected from the previous works were utilized to build the proposed model. Several performance metrics, including RMSE, R2, and MAE, were employed to compare the performance of the optimized model against a baseline SVR model and previous approaches. Analytical results indicate that the new optimized prediction model can assist civil engineers in designing RC coupling beam structures more effectively and outperforms existing models in predicting the shear strength of such beams.<\/jats:p>","DOI":"10.3390\/buildings15020191","type":"journal-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T06:25:54Z","timestamp":1736490354000},"page":"191","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Coupling Beams\u2019 Shear Capacity Prediction by Hybrid Support Vector Regression and Particle Swarm Optimization"],"prefix":"10.3390","volume":"15","author":[{"given":"Emad A.","family":"Abood","sequence":"first","affiliation":[{"name":"Department of Material Engineering, College of Engineering, Al-Shatrah University, Al-Shatrah 64007, Iraq"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0896-5491","authenticated-orcid":false,"given":"Mustafa Kamal","family":"Al-Kamal","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Al-Nahrain University, Baghdad 10081, Iraq"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7757-3910","authenticated-orcid":false,"given":"Sabih Hashim","family":"Muhodir","sequence":"additional","affiliation":[{"name":"Department of Architectural Engineering, Cihan University Erbil, Kurdistan Region 44001, Iraq"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0997-6398","authenticated-orcid":false,"given":"Nadia Moneem","family":"Al-Abdaly","sequence":"additional","affiliation":[{"name":"Construction and Building Engineering Technologies Department, Najaf Engineering Technical Colleges, Al-Furat-Al-Awsat Technical University, Najaf 54003, Iraq"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0484-350X","authenticated-orcid":false,"given":"Lu\u00eds Filipe Almeida","family":"Bernardo","sequence":"additional","affiliation":[{"name":"GeoBioTec, Department of Civil Engineering and Architecture, University of Beira Interior, 6201-001 Covilha, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1279-9529","authenticated-orcid":false,"given":"Dario","family":"De Domenico","sequence":"additional","affiliation":[{"name":"Department of Engineering, University of Messina, Villaggio S. Agata, 98166 Messina, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0680-8540","authenticated-orcid":false,"given":"Hamza","family":"Imran","sequence":"additional","affiliation":[{"name":"Department of Construction and Project, Al-Karkh University of Science, Baghdad 10081, Iraq"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"109082","DOI":"10.1016\/j.soildyn.2024.109082","article-title":"Post-tensioned coupling beams: Mechanics, cyclic response, and damage evaluation","volume":"188","author":"Jafari","year":"2025","journal-title":"Soil Dyn. Earthq. Eng."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2474","DOI":"10.1016\/j.nucengdes.2006.03.008","article-title":"Seismic behaviour and design of steel coupling beams in a hybrid coupled shear wall systems","volume":"236","author":"Park","year":"2006","journal-title":"Nucl. Eng. 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