Data-driven models to predict the water-to-cement ratio and initial setting time of cement grouts-Reference-Cited by-同舟云学术

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Data-driven models to predict the water-to-cement ratio and initial setting time of cement grouts

Published:2024-07-24 Issue: Volume: Page:1-20
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Liu Jiahe¹,Tang Li²,Li Dongsheng¹³,Cui Xiushi¹,Kang Wei¹

Affiliation:

1. School of Civil Engineering, Dalian University of Technology, Dalian, Liaoning, China

2. School of Electrical Engineering, University of South China, Hengyang, China

3. State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2382332

Reference43 articles.

1. Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity

2. Efficiency of NDT techniques to detect voids in grouted post-tensioned concrete ducts

3. Seismic performance of fabricated continuous girder bridge with grouting sleeve-prestressed tendon composite connections

4. Characterization and Performance Prediction of Cement-Based Materials Using a Simple Isothermal Calorimeter

5. Determination of mortar setting times using shear wave velocity evolution curves measured by the bender element technique

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