首页/数据集/ACI FRP databases - Machine learning assessment of frp-strengthened and reinforced concrete members

ACI FRP databases - Machine learning assessment of frp-strengthened and reinforced concrete members

Name: ACI FRP databases - Machine learning assessment of frp-strengthened and reinforced concrete members
Creator: M.Z. Naser
Published: 2026-04-09T12:26:53+08:00

Mendeley Data2026-04-09 收录

结构加固评估

环境工程机器学习

数据链接：

https://data.mendeley.com/datasets/8hv5grr49s 数据链接链接失效反馈

官方服务：

资源简介：

ACI FRP databases - a database to accompany, "Machine learning assessment of frp-strengthened and reinforced concrete members"

应用场景：

提供机构：

M.Z. Naser

重金属废水处理

环境工程机器学习

The experimental results of the adsorption of Cr6+ from aqueous solutions using the pine cone residue and the machine learning models used to investigate the experimental parameters are available on t

Mendeley Data50

Machine learning codes for predicting vapor intrusion attenuation factors

蒸气入侵风险评估

环境工程机器学习

The uploaded file contains the USEPA's vapor intrusion database and the corresponding machine learning codes for predicting attenuation factors.

Figshare2022-03-10 更新30

Python code and data for intelligent data-driven ensemble approaches for bending strength prediction of ultra-high performance concrete beams

混凝土性能预测

环境工程机器学习

# Supplementary Material: Python Code for ML-Based Flexural Capacity Prediction This notebook (`ML_UHPC_Flexure_Python_Code.ipynb`) provides the full implementation of the machine learning framework

Mendeley Data10

The history and practice of AI in the environmental sciences

环境科学AI应用

环境工程机器学习

Artificial intelligence (AI) and machine learning (ML) have become important tools for environmental scientists and engineers, both in research and in applications. Although...

Virginia Open Data40

Reproducibility Package for Physically Consistent and Unseen-Mix-Validated Machine Learning for Concrete Compressive Strength Prediction

混凝土抗压强度预测

环境工程机器学习

This archive contains the reproducibility package supporting the manuscript “Physically Consistent and Unseen-Mix-Validated Machine Learning for Concrete Compressive Strength Prediction”. The package

Zenodo2026-06-11 更新30

ACI FRP databases - Machine learning assessment of frp-strengthened and reinforced concrete members

资源简介：

相关数据集