{"main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S1526612525013787?via%3Dihub","open_access":"1"}],"ddc":["620"],"issue":"Special issue entitled: ‘Trends on spot joining’ published in Journal of Manufacturing Processes.","file_date_updated":"2025-12-26T13:42:22Z","publication":"Journal of Manufacturing Processes","_id":"63418","citation":{"bibtex":"@article{Olfert_Yang_Rochel_Bähr_Hein_Sommer_Meschut_2026, title={Predictive modeling of tolerance-dependent failure behavior of self-pierce riveted joints: From coupon-level tests to sub-component validation}, volume={157}, DOI={<a href=\"https://doi.org/10.1016/j.jmapro.2025.12.058\">10.1016/j.jmapro.2025.12.058</a>}, number={Special issue entitled: ‘Trends on spot joining’ published in Journal of Manufacturing Processes.}, journal={Journal of Manufacturing Processes}, publisher={Elsevier BV}, author={Olfert, Viktoria and Yang, Keke and Rochel, Philip and Bähr, Philipp and Hein, David and Sommer, Silke and Meschut, Gerson}, year={2026}, pages={1250–1273} }","ieee":"V. Olfert <i>et al.</i>, “Predictive modeling of tolerance-dependent failure behavior of self-pierce riveted joints: From coupon-level tests to sub-component validation,” <i>Journal of Manufacturing Processes</i>, vol. 157, no. Special issue entitled: ‘Trends on spot joining’ published in Journal of Manufacturing Processes., pp. 1250–1273, 2026, doi: <a href=\"https://doi.org/10.1016/j.jmapro.2025.12.058\">10.1016/j.jmapro.2025.12.058</a>.","mla":"Olfert, Viktoria, et al. “Predictive Modeling of Tolerance-Dependent Failure Behavior of Self-Pierce Riveted Joints: From Coupon-Level Tests to Sub-Component Validation.” <i>Journal of Manufacturing Processes</i>, vol. 157, no. Special issue entitled: ‘Trends on spot joining’ published in Journal of Manufacturing Processes., Elsevier BV, 2026, pp. 1250–73, doi:<a href=\"https://doi.org/10.1016/j.jmapro.2025.12.058\">10.1016/j.jmapro.2025.12.058</a>.","apa":"Olfert, V., Yang, K., Rochel, P., Bähr, P., Hein, D., Sommer, S., &#38; Meschut, G. (2026). Predictive modeling of tolerance-dependent failure behavior of self-pierce riveted joints: From coupon-level tests to sub-component validation. <i>Journal of Manufacturing Processes</i>, <i>157</i>(Special issue entitled: ‘Trends on spot joining’ published in Journal of Manufacturing Processes.), 1250–1273. <a href=\"https://doi.org/10.1016/j.jmapro.2025.12.058\">https://doi.org/10.1016/j.jmapro.2025.12.058</a>","chicago":"Olfert, Viktoria, Keke Yang, Philip Rochel, Philipp Bähr, David Hein, Silke Sommer, and Gerson Meschut. “Predictive Modeling of Tolerance-Dependent Failure Behavior of Self-Pierce Riveted Joints: From Coupon-Level Tests to Sub-Component Validation.” <i>Journal of Manufacturing Processes</i> 157, no. Special issue entitled: ‘Trends on spot joining’ published in Journal of Manufacturing Processes. (2026): 1250–73. <a href=\"https://doi.org/10.1016/j.jmapro.2025.12.058\">https://doi.org/10.1016/j.jmapro.2025.12.058</a>.","short":"V. Olfert, K. Yang, P. Rochel, P. Bähr, D. Hein, S. Sommer, G. Meschut, Journal of Manufacturing Processes 157 (2026) 1250–1273.","ama":"Olfert V, Yang K, Rochel P, et al. Predictive modeling of tolerance-dependent failure behavior of self-pierce riveted joints: From coupon-level tests to sub-component validation. <i>Journal of Manufacturing Processes</i>. 2026;157(Special issue entitled: ‘Trends on spot joining’ published in Journal of Manufacturing Processes.):1250-1273. doi:<a href=\"https://doi.org/10.1016/j.jmapro.2025.12.058\">10.1016/j.jmapro.2025.12.058</a>"},"year":"2026","date_created":"2025-12-26T13:41:43Z","volume":157,"type":"journal_article","has_accepted_license":"1","department":[{"_id":"157"}],"author":[{"last_name":"Olfert","full_name":"Olfert, Viktoria","first_name":"Viktoria","id":"5974"},{"first_name":"Keke","id":"65085","orcid":"0000-0001-9201-9304","full_name":"Yang, Keke","last_name":"Yang"},{"last_name":"Rochel","full_name":"Rochel, Philip","first_name":"Philip"},{"first_name":"Philipp","last_name":"Bähr","full_name":"Bähr, Philipp"},{"last_name":"Hein","full_name":"Hein, David","first_name":"David","id":"7728"},{"full_name":"Sommer, Silke","last_name":"Sommer","first_name":"Silke"},{"id":"32056","first_name":"Gerson","orcid":"0000-0002-2763-1246","full_name":"Meschut, Gerson","last_name":"Meschut"}],"status":"public","oa":"1","language":[{"iso":"eng"}],"file":[{"access_level":"closed","creator":"kekeyang","file_size":28796238,"file_name":"1-s2.0-S1526612525013787-main.pdf","success":1,"date_created":"2025-12-26T13:42:22Z","date_updated":"2025-12-26T13:42:22Z","file_id":"63419","relation":"main_file","content_type":"application/pdf"}],"doi":"10.1016/j.jmapro.2025.12.058","publisher":"Elsevier BV","user_id":"65085","title":"Predictive modeling of tolerance-dependent failure behavior of self-pierce riveted joints: From coupon-level tests to sub-component validation","page":"1250-1273","date_updated":"2025-12-26T14:06:38Z","intvolume":"       157","publication_identifier":{"issn":["1526-6125"]},"article_type":"original","quality_controlled":"1","abstract":[{"text":"Manufacturing tolerances have a measurable influence on the structural integrity of self-piercing riveted (SPR) joints in automotive applications, yet their quantitative impact on load-bearing behavior remains insufficiently resolved. This study establishes a validated hierarchical methodology to predict tolerance-dependent failure behavior of SPR joints, progressing from coupon to sub-component scale through an integrated experimental–numerical approach. Five critical manufacturing tolerances, including rivet length (±0.5 mm), rivet head position (±0.3 mm), orthogonality deviation (2.8° and 5°), lateral offset (up to 1.2 mm), and flange overlap reduction (up to 7.5 mm), were investigated. Steel–steel joints exhibited a higher sensitivity to tolerances by a factor of 2–3 compared to steel–aluminum joints. A unified effective rivet length concept was developed to consolidate the geometric effects of all tolerances into a single physically meaningful parameter, enabling load-bearing capacity prediction with R2 > 0.95 across all evaluated loading directions. The sub-component validation employing T-joint specimens indicates a 2–3 fold amplification of tolerance effects at critical structural regions, providing experimental evidence for the hierarchical scaling principle. The methodology was implemented in a tolerance-dependent CONSTRAINED_SPR3 formulation, providing >99 % computational efficiency improvement while maintaining a deviation in maximum force prediction within ±7 %. This framework enables the physically consistent representation of manufacturing variation within large-scale simulations and establishes a transferable basis for tolerance-resilient virtual vehicle development.","lang":"eng"}],"publication_status":"published"}