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Calcium carbide residue: Alkaline activator for clay–fly ash geopolymer
Calcium carbide residue: Alkaline activator for clay–fly ash geopolymer
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Calcium carbide residue: Alkaline activator for clay–fly ash geopolymer

Phetchuay, Chayakrit ; Horpibulsuk, Suksun ; Suksiripattanapong, Cherdsak ; Chinkulkijniwat, Avirut ; Arulrajah, Arul ; Disfani, Mahdi M.

Construction & building materials, 2014-10, Vol.69, p.285-294 [Periódico revisado por pares]

Elsevier Ltd

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2
Geopolymers as an alternative to Portland cement: An overview
Geopolymers as an alternative to Portland cement: An overview
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Geopolymers as an alternative to Portland cement: An overview

Singh, N.B. ; Middendorf, B.

Construction & building materials, 2020-03, Vol.237, p.117455, Article 117455 [Periódico revisado por pares]

Elsevier Ltd

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3
Influence of quality of recycled aggregates on the mechanical properties of recycled aggregate concretes: An overview
Influence of quality of recycled aggregates on the mechanical properties of recycled aggregate concretes: An overview
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Influence of quality of recycled aggregates on the mechanical properties of recycled aggregate concretes: An overview

Kim, Jeonghyun

Construction & building materials, 2022-04, Vol.328, p.127071, Article 127071 [Periódico revisado por pares]

Elsevier Ltd

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4
A review on durability of fiber reinforced polymer (FRP) bars reinforced seawater sea sand concrete
A review on durability of fiber reinforced polymer (FRP) bars reinforced seawater sea sand concrete
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A review on durability of fiber reinforced polymer (FRP) bars reinforced seawater sea sand concrete

Ahmed, Azzam ; Guo, Shuaicheng ; Zhang, Zuhua ; Shi, Caijun ; Zhu, Deju

Construction & building materials, 2020-09, Vol.256, p.119484, Article 119484 [Periódico revisado por pares]

Elsevier Ltd

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5
A review of 3D printed concrete: Performance requirements, testing measurements and mix design
A review of 3D printed concrete: Performance requirements, testing measurements and mix design
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A review of 3D printed concrete: Performance requirements, testing measurements and mix design

Hou, Shaodan ; Duan, Zhenhua ; Xiao, Jianzhuang ; Ye, Jun

Construction & building materials, 2021-03, Vol.273, p.121745, Article 121745 [Periódico revisado por pares]

Elsevier Ltd

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6
Influence of the incorporation of recycled coarse aggregate on water absorption and chloride penetration into concrete
Influence of the incorporation of recycled coarse aggregate on water absorption and chloride penetration into concrete
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Influence of the incorporation of recycled coarse aggregate on water absorption and chloride penetration into concrete

Bao, Jiuwen ; Li, Shuguo ; Zhang, Peng ; Ding, Xiaoya ; Xue, Shanbin ; Cui, Yifei ; Zhao, Tiejun

Construction & building materials, 2020-04, Vol.239, p.117845, Article 117845 [Periódico revisado por pares]

Elsevier Ltd

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7
Review on the deterioration and approaches to enhance the durability of concrete in the freeze–thaw environment
Review on the deterioration and approaches to enhance the durability of concrete in the freeze–thaw environment
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Review on the deterioration and approaches to enhance the durability of concrete in the freeze–thaw environment

Wang, Ruijun ; Hu, Zhiyao ; Li, Yang ; Wang, Kai ; Zhang, Hao

Construction & building materials, 2022-02, Vol.321, p.126371, Article 126371 [Periódico revisado por pares]

Elsevier Ltd

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8
Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete
Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete
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Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete

Kakasor Ismael Jaf, Dilshad ; Ismael Abdulrahman, Payam ; Salih Mohammed, Ahmed ; Kurda, Rawaz ; Qaidi, Shaker M.A. ; Asteris, Panagiotis G.

Construction & building materials, 2023-10, Vol.400, p.132604, Article 132604 [Periódico revisado por pares]

Elsevier Ltd

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9
Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete
Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete
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Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete

Kang, Min-Chang ; Yoo, Doo-Yeol ; Gupta, Rishi

Construction & building materials, 2021-01, Vol.266, p.121117, Article 121117 [Periódico revisado por pares]

Elsevier Ltd

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10
Establishing a 3D aggregates database from X-ray CT scans of bulk concrete
Establishing a 3D aggregates database from X-ray CT scans of bulk concrete
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Establishing a 3D aggregates database from X-ray CT scans of bulk concrete

Wang, Mingzhi ; Yang, Xu ; Wang, Wei

Construction & building materials, 2022-01, Vol.315, p.125740, Article 125740 [Periódico revisado por pares]

Elsevier Ltd

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