{"best_oa_location":null,"data_standard":2,"doi":"10.1007/s41939-025-01028-2","doi_url":"https://doi.org/10.1007/s41939-025-01028-2","first_oa_location":null,"genre":"journal-article","has_repository_copy":false,"is_oa":false,"is_paratext":false,"journal_is_in_doaj":false,"journal_is_oa":false,"journal_issn_l":"2520-8160","journal_issns":"2520-8160,2520-8179","journal_name":"Multiscale and Multidisciplinary Modeling Experiments and Design","oa_locations":[],"oa_locations_embargoed":[],"oa_status":"closed","published_date":"2025-09-03","publisher":"Springer Science and Business Media LLC","title":"An interpretable machine learning approach for predicting reinforcement bond performance in 3D concrete printing","updated":"2025-09-04T02:50:00Z","year":2025,"z_authors":[{"author_position":"first","is_corresponding":true,"raw_affiliation_strings":["Southern Illinois University, Edwardsville, USA"],"raw_author_name":"Sajid Ahmed Syed"},{"author_position":"additional","is_corresponding":false,"raw_affiliation_strings":["Southern Illinois University, Edwardsville, USA"],"raw_author_name":"Khasim Ali Abid"},{"author_position":"last","is_corresponding":false,"raw_affiliation_strings":["Southern Illinois University, Edwardsville, USA"],"raw_author_name":"Majid Khan"}]}