2026-10-15T10:22:37Z https://data.mendeley.com/oai

oai:data.mendeley.com/jxsf6fn7hr.1 2026-05-11T15:41:33Z

Guribie, Francis Supplemental Materials for "Smart-Green Hybrid Digital Twin Framework for Vetiver NbS Scour Countermeasures" Mendeley Data This dataset contains supplemental materials supporting a peer-reviewed journal manuscript. Tables S1-S8 provide: S1) HEC-RAS 2D mesh sensitivity analysis at the abutment; S2) Manning’s n calibration for vetiver channels from literature and field tests; S3) Digital twin alert thresholds for velocity, shear stress, and scour depth; S4) Sources of 140 laboratory cases used for Random Forest model training; S5) RF hyperparameter ranges and optimal values from 5-fold cross-validation; S6) UAV image dataset summary for vetiver health classification; S7) Bill of quantities comparing vetiver NbS vs. riprap, using NHA CSR 2023 rates; S8) Embodied carbon calculations using Ecoinvent 3.9 and ICE v3.0 factors. Figures S1-S4 include: S1) HEC-RAS 2D mesh layouts showing 4m, 2m, and 1m refinements; S2) Sample UAV training images from DJI Mavic 3E showing classes for healthy vetiver, stressed vetiver, bare soil, and water; S3) Field photographs of vetiver growth stages at Kala Khatai site, Mar-Jun 2026; S4) Lifecycle cost comparison charts for vetiver NbS vs. conventional riprap. All data were generated using HEC-RAS 6.4.1, Python 3.11.5 with scikit-learn 1.3.2, Agisoft Metashape 2.0, and publicly available sources. Raw code and processing scripts are included where applicable. The main article is complete without this supplemental data. Artificial Intelligence Applications Smart Infrastructure Bridge Engineering Nawaz, Ahsan Feiyong, Chen Dataset doi:10.17632/jxsf6fn7hr.1 oai:data.mendeley.com/jxsf6fn7hr.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/jxsf6fn7hr 2026-05-11T15:41:33Z