Framework for rapid characterization of fresh properties of cementitious materials using point cloud and machine learning

Author:

Yoon JinyoungORCID,Kim HyunjunORCID,Ju Suhwan,Li Zhanzhao,Pyo SukhoonORCID

Funder

Korea Institute of Construction Technology

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference43 articles.

1. Concrete: Microstructure, Properties, and Materials;Mehta,2013

2. Testing dynamic segregation of self-consolidating concrete;Shen;Constr. Build. Mater.,2015

3. ASTM C143/143M-15a, Standard Test Method for Slump of Hydraulic-Cement Concrete, 2015.

4. ASTM C1611/C1611M-21, Standard Test Method for Slump Flow of Self-Consolidating Concrete, 2021.

5. ASTM C1437-20, Standard Test Method for Flow of Hydraulic Cement Mortar, 2020.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of bond strength of CFRP cables with concrete using random forest model;Journal of Building Engineering;2024-11

2. Fresh Concrete Properties from Stereoscopic Image Sequences;PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science;2024-08-26

3. Estimating the Workability of Concrete with a Stereovision Camera during Mixing;Sensors;2024-07-10

4. Image-based Deep Learning for the time-dependent prediction of fresh concrete properties;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-10

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