Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar-Reference-Cited by-同舟云学术

Investigation of Hybrid Intelligence Models to Optimize Cement Kiln Content Based on the Failure Stress, Chemical Composition, and Loss on Ignition of Mortar

Published:2024-03 Issue:3 Volume:36 Page:
ISSN:0899-1561
Container-title:Journal of Materials in Civil Engineering
language:en
Short-container-title:J. Mater. Civ. Eng.

Author:

Mohammed Ahmed Salih¹^ORCID,Abdalla Aso A.¹^ORCID,Kurda Rawaz²,Qadir Warzer Sarwar³,Mahmood Wael⁴,Ghafor Kawan³

Affiliation:

1. Dept. of Civil Engineering, College of Engineering, Univ. of Sulaimani, Sulaymaniyah 46001, Iraq. ORCID: .

2. Dept. of Highway and Bridge Engineering, Technical Engineering College, Erbil Polytechnic Univ., Erbil 44001, Iraq; Dept. of Civil Engineering, College of Engineering, Nawroz Univ., Duhok 42001, Iraq; Civil Engineering Research and Innovation for Sustainability (CERIS), Dept. of Civil Engineering, Architecture and Georresources, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, Lisbon 1049-001, Portugal (corresponding author).

3. Dept. of Civil Engineering, College of Engineering, Univ. of Sulaimani, Sulaymaniyah 46001, Iraq.

4. Scientific Research Centre, Soran Univ., Soran, Erbil, Kurdistan-Region, Iraq.

Publisher

American Society of Civil Engineers (ASCE)

Subject

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

Link

https://ascelibrary.org/doi/pdf/10.1061/JMCEE7.MTENG-16718

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5. Effect of cement kiln dust (CKD) on mortar and concrete mixtures