| dc.contributor.author | Gong, Xiangrui | |
| dc.contributor.author | Zhou, Yicheng | |
| dc.contributor.author | Zhang, Xiaobo | |
| dc.date.accessioned | 2026-08-20T10:47:51Z | |
| dc.date.available | 2026-08-20T10:47:51Z | |
| dc.date.copyright | 2025/08/13 | |
| dc.date.issued | 2025 | |
| dc.identifier.other | AJRUA6.RUENG-1538.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311270 | |
| dc.description.abstract | AbstractThe computational costs of surrogate model–assisted uncertainty quantification methods
become intractable for high-dimensional problems. However, many high-dimensional problems
are intrinsically low-dimensional if the output response exhibits some ... | |
| dc.publisher | American Society of Civil Engineers | |
| dc.title | Active Subspace–Enhanced Support Vector Regression Model for High-Dimensional Probabilistic Uncertainty Propagation | |
| dc.type | Journal Article | |
| dc.journal.volume | 11 | |
| dc.journal.issue | 4 | |
| dc.journal.title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| dc.identifier.doi | 10.1061/AJRUA6.RUENG-1538 | |
| dc.journal.fristpage | 04025070-1 | |
| dc.journal.lastpage | 04025070-11 | |
| dc.page | 11 | |
| dc.tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004 | |
| dc.contenttype | Fulltext | |
