| contributor author | Long, Houmin | |
| contributor author | Fan, Shenggang | |
| contributor author | Wang, Weiyong | |
| contributor author | Wu, Yiwen | |
| date accessioned | 2026-08-20T11:44:05Z | |
| date available | 2026-08-20T11:44:05Z | |
| date copyright | 2026/04/21 | |
| date issued | 2026 | |
| identifier other | JMCEE7.MTENG-21862.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4312600 | |
| description abstract | AbstractThe development of structural engineering is closely tied to innovations in building
materials. Austenitic stainless steel materials, known for their excellent corrosion
resistance, durability, and high plasticity, are drawing growing attention ...A research framework for predicting the mechanical properties and constitutive model
of austenitic stainless steel. It covers data preparation (chemical compositions,
temperatures, mechanical properties, and stress–strain curves), methods (prediction
of ... | |
| publisher | American Society of Civil Engineers | |
| title | Machine Learning–Based Prediction of the Constitutive Model of Austenitic Stainless Steels at Room and Elevated Temperatures | |
| type | Journal Article | |
| journal volume | 38 | |
| journal issue | 7 | |
| journal title | Journal of Materials in Civil Engineering | |
| identifier doi | 10.1061/JMCEE7.MTENG-21862 | |
| journal fristpage | 04026171-1 | |
| journal lastpage | 04026171-14 | |
| page | 14 | |
| tree | Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 007 | |
| contenttype | Fulltext | |
