Estimating the initial fracture energy of concrete using various machine learning techniques-Reference-Cited by-同舟云学术

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Estimating the initial fracture energy of concrete using various machine learning techniques

Published:2024-01 Issue: Volume:295 Page:109776
ISSN:0013-7944
Container-title:Engineering Fracture Mechanics
language:en
Short-container-title:Engineering Fracture Mechanics

Author:

Albaijan Ibrahim,Mahmoodzadeh Arsalan^ORCID,Hussein Mohammed Adil,Mohammadi Mokhtar,Gutub Sohaib^ORCID,Mutab Alsalami Omar,Hashim Ibrahim Hawkar,Alashker Yasser

Funder

Deanship of Scientific Research, King Khalid University

King Khalid University

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference47 articles.

1. Early shrinkage modeling of complex internally confined concrete based on capillary tension theory;Zhou;Buildings,2023

2. Moisture diffusion coefficient of concrete under different conditions;Zhou;Buildings,2023

3. Establishing a 3D aggregates database from X-ray CT scans of bulk concrete;Wang;Constr Build Mater,2022

4. Experimental investigation on the bond performance of sea sand coral concrete with FRP bar reinforcement for marine environments;Sun;Adv Struct Eng,2023

5. Property assessment of high-performance concrete containing three types of fibers;Huang;Int J Concr Struct Mater,2021

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1. Enhanced multi-task learning models for pile drivability prediction: Leveraging metaheuristic algorithms and statistical evaluation;Transportation Geotechnics;2024-07

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