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High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete

Ala’a R.Al-Shamasneh Faten Khalid Karim Arsalan Mahmoodzadeh Abdulaziz Alghamdi Abdullah Alqahtani Shtwai Alsubai Abed Alanazi

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(8)：P.1573-1606,34.

Computer Modeling in Engineering & Sciences2025，Vol.144Issue(8)：P.1573-1606,34.DOI:10.32604/cmes.2025.068887

High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete

Ala’a R.Al-Shamasneh ¹Faten Khalid Karim ²Arsalan Mahmoodzadeh ³Abdulaziz Alghamdi ⁴Abdullah Alqahtani ⁵Shtwai Alsubai ⁵Abed Alanazi⁵

作者信息

1. Department of Computer Science,College of Computer&Information Sciences,Prince Sultan University,Rafha Street,Riyadh,11586,Saudi Arabia
2. Department of Computer Sciences,College of Computer and Information Sciences,Princess Nourah Bint Abdulrahman University,P.O.Box 84428,Riyadh,11671,Saudi Arabia
3. Center of Research and Strategic Studies,Lebanese French University,Erbil,44001,Iraq
4. Department of Civil Engineering,Faculty of Engineering,University of Tabuk,Tabuk,47512,Saudi Arabia
5. Department of Computer Science,College of Computer Engineering and Sciences in Al-Kharj,Prince Sattam bin Abdulaziz University,P.O.Box 151,Al-Kharj,11942,Saudi Arabia
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摘要

关键词

Fiber-reinforced concrete/fracture energy/three-point bending test/machine learning/concretemixing optimization

分类

建筑与水利

引用本文复制引用

Ala’a R.Al-Shamasneh,Faten Khalid Karim,Arsalan Mahmoodzadeh,Abdulaziz Alghamdi,Abdullah Alqahtani,Shtwai Alsubai,Abed Alanazi..High-Fidelity Machine Learning Framework for Fracture Energy Prediction in Fiber-Reinforced Concrete[J].Computer Modeling in Engineering & Sciences,2025,144(8):P.1573-1606,34.

基金项目

Prince Sultan University for their support （）

Princess Nourah Bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R300) （PNURSP2025R300）

supported via funding from Prince Sattam Bin Abdulaziz University project number(PSAU/2025/R/1447). （PSAU/2025/R/1447）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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