Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Zhou, Zhan, Cao, Jinde, Shi, Xinli, Zhang, Weiguang, Huang, Wei (2024) Probabilistic rutting model using NGBoost and SHAP: Incorporating other performance indicators. Construction and Building Materials, 438. 137052 doi:10.1016/j.conbuildmat.2024.137052

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleProbabilistic rutting model using NGBoost and SHAP: Incorporating other performance indicators
JournalConstruction and Building Materials
AuthorsZhou, ZhanAuthor
Cao, JindeAuthor
Shi, XinliAuthor
Zhang, WeiguangAuthor
Huang, WeiAuthor
Year2024 (August)Volume438
Page(s)137052
PublisherElsevier BV
DOIdoi:10.1016/j.conbuildmat.2024.137052Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17509075Long-form Identifiermindat:1:5:17509075:6
GUID0
Full ReferenceZhou, Zhan, Cao, Jinde, Shi, Xinli, Zhang, Weiguang, Huang, Wei (2024) Probabilistic rutting model using NGBoost and SHAP: Incorporating other performance indicators. Construction and Building Materials, 438. 137052 doi:10.1016/j.conbuildmat.2024.137052
Plain TextZhou, Zhan, Cao, Jinde, Shi, Xinli, Zhang, Weiguang, Huang, Wei (2024) Probabilistic rutting model using NGBoost and SHAP: Incorporating other performance indicators. Construction and Building Materials, 438. 137052 doi:10.1016/j.conbuildmat.2024.137052
In(2024) Construction and Building Materials Vol. 438. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Chen, Shuting, Cao, Jinde, Wan, Ying, Shi, Xinli, Huang, Wei (2024) Enhancing rutting depth prediction in asphalt pavements: A synergistic approach of extreme gradient boosting and snake optimization. Construction and Building Materials, 421. 135726 doi:10.1016/j.conbuildmat.2024.135726
Wu, Tao, Cao, Jinde, Ma, Tao, Huang, Wei, Zhou, Zhan, Chen, Bingquan (2023) Development of rutting forecasting models for distinct asphalt pavement structures in RIOH testing track using different approaches. Construction and Building Materials, 368. 130483 doi:10.1016/j.conbuildmat.2023.130483
Luan, Yingcheng, Zhang, Weiguang, Ma, Tao, Cao, Jinde, Shi, Xinli, Tong, Zheng (2023) Effect of existing pavement condition and overlaying strategy on the reflective cracking resistance of asphalt pavement. Construction and Building Materials, 401. 132620 doi:10.1016/j.conbuildmat.2023.132620
Min, Zhaohui, Chen, Fei, Lu, Jun, Li, Mingyue, Shi, Zhiyong, Huang, Wei (2024) Correlation analysis of evaluation methods and indicators for low-temperature performance of epoxy asphalt. Construction and Building Materials, 438. 137287 doi:10.1016/j.conbuildmat.2024.137287
Wang, Yu, Cao, Jinde, Huang, Wei, Ma, Tao, Zhou, Zhan (2023) Dynamic response analysis of vehicle–pavement-coupled system based on RIOHTrack full-size accelerated loading test. Construction and Building Materials, 402. 132744 doi:10.1016/j.conbuildmat.2023.132744
Zhang, Weiguang, Huang, Xiaoming, Yang, Jun, Chen, Xianhua (2017) RETRACTED: Effect of segregation on rutting resistance of asphalt pavement. Construction and Building Materials, 147. 525-532 doi:10.1016/j.conbuildmat.2017.04.194
Zhang, Jinren, Cao, Jinde, Shi, Xinli, Huang, Wei, Ma, Tao, Zhou, Xingye (2024) Two fractional order cumulative residual time series measures based on Rényi entropy. Information Sciences, 679. 121098 doi:10.1016/j.ins.2024.121098
Huang, Kai, Onifade, Ibrahim, Birgisson, Bjorn (2021) Rutting performance of flexible pavements using new energy-based potentials. Construction and Building Materials, 266. 120896pp. doi:10.1016/j.conbuildmat.2020.120896
Luan, Yingcheng, Ma, Yuan, Ma, Tao, Wang, Chuanle, Xia, Fei (2023) Research on the effects of asphalt performance on rutting resistance and its correlation with rutting performance indicators. Construction and Building Materials, 400. 132773 doi:10.1016/j.conbuildmat.2023.132773
Li, Xiaofan, Zhou, Zhi, Wang, Bo, Huang, Wei (2024) Study on impermeability of reinforced concrete wall with horizontal construction joints. Construction and Building Materials, 438. 137220 doi:10.1016/j.conbuildmat.2024.137220
Huang, Junxian, Yan, Kezhen, Wang, Min, Shi, Kaixin, Li, Yiran, Zhang, Youhong (2024) Performance evaluation of SBS-modified asphalt mixtures incorporating waste tire rubber and HDPE. Construction and Building Materials, 430. 136423 doi:10.1016/j.conbuildmat.2024.136423
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 23, 2025 05:01:29
Go to top of page