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1
Push-out test of eco-friendly steel-concrete–steel composite sections enhanced by polypropylene fibers: An experimental study and statistical analysis
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Push-out test of eco-friendly steel-concrete–steel composite sections enhanced by polypropylene fibers: An experimental study and statistical analysis

Hassan, Sawsan Akram ; Hanoon, Ammar N. ; Abdulhameed, Ali A.

Results in engineering, 2024-09, Vol.23, p.102393, Article 102393 [Periódico revisado por pares]

Elsevier B.V

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Comparative analysis of selected machine learning techniques for predicting the pull-off strength of the surface layer of eco-friendly concrete
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Comparative analysis of selected machine learning techniques for predicting the pull-off strength of the surface layer of eco-friendly concrete

Moj, Mateusz ; Czarnecki, Slawomir

Advances in engineering software (1992), 2024-09, Vol.195, p.103710, Article 103710 [Periódico revisado por pares]

Elsevier Ltd

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3
Valorization of steel slag into sustainable high-performance radiation shielding concrete
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Valorization of steel slag into sustainable high-performance radiation shielding concrete

Shi, Daquan ; Xia, Yan ; Zhao, Yading ; Wang, Jian ; Ma, Xiaobing ; Liu, Minghao ; Yu, Kunyang ; Zhang, Junyi ; Tian, Weichen

Journal of Building Engineering, 2024-08, Vol.91, p.109650, Article 109650 [Periódico revisado por pares]

Elsevier Ltd

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4
An eco-friendly ECC with high slag and polypropylene fiber content for high-tensile strain applications
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An eco-friendly ECC with high slag and polypropylene fiber content for high-tensile strain applications

Saljoughian, Alireza ; Bahmani, Hadi ; Ansari, Zeynab ; Jafari, Nasrin ; Mostofinejad, Davood

Journal of Building Engineering, 2024-08, Vol.91, p.109726, Article 109726 [Periódico revisado por pares]

Elsevier Ltd

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5
Compressive behavior of eco-friendly concrete containing glass waste and recycled concrete aggregate using experimental investigation and machine learning techniques
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Compressive behavior of eco-friendly concrete containing glass waste and recycled concrete aggregate using experimental investigation and machine learning techniques

Yehia, Saad A. ; Shahin, Ramy I. ; Fayed, Sabry

Construction & building materials, 2024-07, Vol.436, p.137002, Article 137002 [Periódico revisado por pares]

Elsevier Ltd

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6
Eupatorium Adenophorum Spreng as a green additive in cementitious materials for sustainable infrastructure
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Eupatorium Adenophorum Spreng as a green additive in cementitious materials for sustainable infrastructure

Paudel, Jiwan ; Thapa, Kiran ; Sedai, Suraj ; Gyawali, Tek Raj

Journal of cleaner production, 2024-07, Vol.461, p.142603, Article 142603 [Periódico revisado por pares]

Elsevier Ltd

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7
Multi-output machine learning for predicting the mechanical properties of BFRC
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Multi-output machine learning for predicting the mechanical properties of BFRC

Najmoddin, Alireza ; Etemadfard, Hossein ; Hosseini.S, Amirhossein ; Ghalehnovi, Mansour

Case Studies in Construction Materials, 2024-07, Vol.20, p.e02818, Article e02818 [Periódico revisado por pares]

Elsevier Ltd

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8
Machine learning based prediction models for spilt tensile strength of fiber reinforced recycled aggregate concrete
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Machine learning based prediction models for spilt tensile strength of fiber reinforced recycled aggregate concrete

Alarfaj, Mohammed ; Qureshi, Hisham Jahangir ; Shahab, Muhammad Zubair ; Javed, Muhammad Faisal ; Arifuzzaman, Md ; Gamil, Yaser

Case Studies in Construction Materials, 2024-07, Vol.20, p.e02836, Article e02836 [Periódico revisado por pares]

Elsevier Ltd

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9
Development of sustainable alkali-activated slag bricks with high content of carbonated recycled concrete fines: Strength, microstructure and environmental benefit
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Development of sustainable alkali-activated slag bricks with high content of carbonated recycled concrete fines: Strength, microstructure and environmental benefit

Ouyang, Xiaowei ; Zhang, Yi ; Li, Jiaming ; Ma, Yuwei ; Zhang, Mingzhong ; Fu, Jiyang

Construction & building materials, 2024-06, Vol.430, p.136457, Article 136457 [Periódico revisado por pares]

Elsevier Ltd

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10
Synergistic optimization: A comprehensive life cycle assessment for high-performance concrete with recycled aggregates and Next-Gen nylon waste fibers
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Synergistic optimization: A comprehensive life cycle assessment for high-performance concrete with recycled aggregates and Next-Gen nylon waste fibers

Gillani, Syed Tafheem Abbas ; Hu, Kui ; Tariq, Jawad ; Song, Liang ; Zhang, Wengang

Construction & building materials, 2024-06, Vol.430, p.136491, Article 136491 [Periódico revisado por pares]

Elsevier Ltd

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