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Machine-made sand concrete preparation method based on artificial intelligence
The invention discloses a machine-made sand concrete preparation method based on artificial intelligence. The construction process comprises the steps of screening and preparing materials, preparing a modifier, modifying raw materials, mixing the raw materials, detecting and stirring the raw materials and testing strength. The continuous fibers are added as the admixture, so that the toughness and the tensile strength of the concrete can be improved, the micro-crack restraining effect is remarkable, and meanwhile, the anti-permeability, the high temperature resistance and the corrosion resistance of the concrete are also improved; by adding the microbead viscosity-reducing material, the viscosity of newly mixed concrete can be reduced, the flowability of the cement paste is improved, the pumpability of the concrete is improved, and meanwhile, the strength of the hardened cement paste is improved; the concrete hydration temperature rise peak value is relatively low through the freezing resistance and shrinkage resistance of the polycarboxylic acid superplasticizer, and meanwhile, the concrete hydration temperature rise peak value is relatively low, so that the compressive strength and the anti-cracking grade are increased, cracks caused by excessive internal and external temperature difference during setting and hardening of a concrete member are reduced, and the durability of the concrete structure is further improved.
本发明公开了一种基于人工智能的机制砂混凝土制备方法，其施工流程有筛分备料→制备改性剂→原料改性→混合原料→检测搅拌原料→强度测试。本发明通过添加连续纤维为掺合料，能提高混凝土的韧性和抗拉强度，对微裂缝约束效果显著，同时也提高混凝土的抗渗性、耐高温、耐腐蚀性能；通过添加微珠降粘材料可以降低新拌混泥土的粘度，增大水泥浆的流动性，提高了混泥土的可泵性，同时水泥浆体硬化后强度提高；通过聚羧酸高效减水剂的抗冻性、抗收缩使混泥土水化温升峰值较低，同时混泥土水化温升峰值较低，增加了抗压强度和抗裂等级，降低了混凝土构件凝结硬化时因内外温差过大而产生裂纹，进而增加了混凝土结构耐久性。
Machine-made sand concrete preparation method based on artificial intelligence
The invention discloses a machine-made sand concrete preparation method based on artificial intelligence. The construction process comprises the steps of screening and preparing materials, preparing a modifier, modifying raw materials, mixing the raw materials, detecting and stirring the raw materials and testing strength. The continuous fibers are added as the admixture, so that the toughness and the tensile strength of the concrete can be improved, the micro-crack restraining effect is remarkable, and meanwhile, the anti-permeability, the high temperature resistance and the corrosion resistance of the concrete are also improved; by adding the microbead viscosity-reducing material, the viscosity of newly mixed concrete can be reduced, the flowability of the cement paste is improved, the pumpability of the concrete is improved, and meanwhile, the strength of the hardened cement paste is improved; the concrete hydration temperature rise peak value is relatively low through the freezing resistance and shrinkage resistance of the polycarboxylic acid superplasticizer, and meanwhile, the concrete hydration temperature rise peak value is relatively low, so that the compressive strength and the anti-cracking grade are increased, cracks caused by excessive internal and external temperature difference during setting and hardening of a concrete member are reduced, and the durability of the concrete structure is further improved.
本发明公开了一种基于人工智能的机制砂混凝土制备方法，其施工流程有筛分备料→制备改性剂→原料改性→混合原料→检测搅拌原料→强度测试。本发明通过添加连续纤维为掺合料，能提高混凝土的韧性和抗拉强度，对微裂缝约束效果显著，同时也提高混凝土的抗渗性、耐高温、耐腐蚀性能；通过添加微珠降粘材料可以降低新拌混泥土的粘度，增大水泥浆的流动性，提高了混泥土的可泵性，同时水泥浆体硬化后强度提高；通过聚羧酸高效减水剂的抗冻性、抗收缩使混泥土水化温升峰值较低，同时混泥土水化温升峰值较低，增加了抗压强度和抗裂等级，降低了混凝土构件凝结硬化时因内外温差过大而产生裂纹，进而增加了混凝土结构耐久性。
Machine-made sand concrete preparation method based on artificial intelligence
一种基于人工智能的机制砂混凝土制备方法
HUANG ZHOUFENG (author) / XIE SHENGLIN (author) / JI YINGCHANG (author) / RUAN YEPING (author) / YE CAIFA (author) / LUO QIANG (author) / LAN QINGDE (author) / ZHANG LIHUAN (author) / CHEN YUANWEN (author) / DING LINGFEI (author)
2024-01-05
Patent
Electronic Resource
Chinese
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