Robotics & Machine Learning Daily News2024,Issue(Nov.29) :186-186.

Research Conducted at University of Science and Technology Beijing Has Updated O ur Knowledge about Machine Learning (Research On Mechanical Properties and Mix P roportion Design of Solid Waste-based Cemented Paste Backfill)

北京科技大学进行的研究更新了机器学习的知识(固体废物胶结膏体回填材料的力学性能和配比设计研究)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :186-186.

Research Conducted at University of Science and Technology Beijing Has Updated O ur Knowledge about Machine Learning (Research On Mechanical Properties and Mix P roportion Design of Solid Waste-based Cemented Paste Backfill)

北京科技大学进行的研究更新了机器学习的知识(固体废物胶结膏体回填材料的力学性能和配比设计研究)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的最新研究结果已经发表。根据研究称,NewsRx记者源于中华人民共和国北京的新闻报道,固体废物充填采矿是充填采矿的重要发展方向,本研究为充填采矿提供了理论依据。固体废物基胶结充填体(SWCPB)的制备及其在地下采空区治理中的应用以废石、铜渣为混合骨料,配以粒化高炉渣、钢渣,以gyp和脱硫石膏为原料的固体废弃物粘结剂降低环境危害ca由工业固体废物使用。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Solid waste fi lling is an important development direction for filling mining. This research pr oposes thepreparation of solid waste-based cemented paste backfill (SWCPB) to f ill the underground mined areaby using waste rock and copper slag as the mixed aggregate and granulated blast furnace slag, steel slag,and desulfurization gyp sum as raw materials of solid waste binder to reduce the environmental hazards caused by the industrial solid wastes.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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