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Pore Properties and Life Prediction of Salt-eroded Basalt Fiber Recycled Concrete
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Li-ai LIU, Wen-rui YANG*, Yue-wen HUANG, Xun ZHANG, Hai ZHOU, Xiao-long XIONG, Cheng-wei LI
Science Technology and Engineering | 2025, 25(1) : 291 - 300
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Science Technology and Engineering | 2025, 25(1): 291-300
Papers·Architectural Science
Pore Properties and Life Prediction of Salt-eroded Basalt Fiber Recycled Concrete
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Li-ai LIU, Wen-rui YANG*, Yue-wen HUANG, Xun ZHANG, Hai ZHOU, Xiao-long XIONG, Cheng-wei LI
Affiliations
  • School of Civil and Architectural Engineering, East China University of Technology, Nanchang 330013, China
Published: 2025-01-08 doi: 10.12404/j.issn.1671-1815.2308147
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In order to study the effect of basalt fiber on the porosity of recycled concrete under salt erosion, the internal variation of concrete was analyzed by scanning electron microscopy, and a linear regression model was established between the porosity of concrete and the number of dry and wet cycles, the height of penetration, the compressive strength and the splitting tensile strength. A fully connected neural network (FCNN) model was established for the penetration height under different soaking ages and fiber content for predicting the corrosion resistance life of basalt fiber regenerated concrete under salt erosion conditions. The results show that the porosity of concrete increases gradually with the erosion age increasing, and the appropriate addition of basalt fiber can significantly reduce the porosity of concrete, and the improvement effect is most significant when the fiber content is 1.0%. With fiber content increasing, the salt permeability resistance of recycled concrete increases, and permeability height decreases. When the fiber content is 1.0%, the best compressive strength and splitting tensile strength are obtained. The fully connected neural network model has a good effect and provides a reliable reference for the life prediction of basalt fiber recycled concrete.

salt erosion  /  recycled concrete  /  basalt fiber  /  porosity  /  fully connected neural network  /  life prediction
Li-ai LIU, Wen-rui YANG, Yue-wen HUANG, Xun ZHANG, Hai ZHOU, Xiao-long XIONG, Cheng-wei LI. Pore Properties and Life Prediction of Salt-eroded Basalt Fiber Recycled Concrete[J]. Science Technology and Engineering, 2025 , 25 (1) : 291 -300 . DOI: 10.12404/j.issn.1671-1815.2308147
Year 2025 volume 25 Issue 1
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Article Info
doi: 10.12404/j.issn.1671-1815.2308147
  • Receive Date:2023-10-19
  • Online Date:2025-07-29
  • Published:2025-01-08
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  • Received:2023-10-19
  • Revised:2024-07-19
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    School of Civil and Architectural Engineering, East China University of Technology, Nanchang 330013, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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