Eco-friendly concrete incorporating palm oil fuel ash: Fresh and mechanical properties with machine learning prediction, and sustainability assessment.

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作者： Noor Md Sadiqul,Hasan ^[1] ; Md Habibur Rahman,Sobuz ^[2] ; Nur Mohammad Nazmus,Shaurdho ^[1] ; Md Montaseer,Meraz ^[2] ; Shuvo Dip,Datta ^[2] ; Fahim Shahriyar,Aditto ^[2] ; Md Kawsarul Islam,Kabbo ^[2] ; Md Jihad,Miah ^[3]

作者单位： Department of Civil Engineering, College of Engineering and Technology, International University of Business Agriculture and Technology, Dhaka 1230, Bangladesh. ^[1] Department of Building Engineering and Construction Management, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh. ^[2] Department of Civil Engineering, University of Asia Pacific, Dhaka 1205, Bangladesh. ^[3]

关键词 Concrete Cost and eCO2 emissions Eco-friendly Fresh characteristics Machine learning techniques Mechanical performance Palm oil fuel ash Sustainability

DOI 10.1016/j.heliyon.2023.e22296

PMID 38045200

发布时间 2023-12-05

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Heliyon

2023年9卷11期

e22296页

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Eco-friendly concrete incorporating palm oil fuel ash: Fresh and mechanical properties with machine learning prediction, and sustainability assessment.

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Eco-friendly concrete incorporating palm oil fuel ash: Fresh and mechanical properties with machine learning prediction, and sustainability assessment.

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