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基于BP神经网络的钢铁工业建(构)筑物混凝土结构耐久性环境区划研究

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由于高温、潮湿、腐蚀等各种不利生产环境的影响,工业建(构)筑物混凝土结构耐久性问题非常突出,大量在役工业建(构)筑物混凝土结构钢筋锈蚀、混凝土劣化严重,使其使用寿命远小于设计使用年限.以烧结、焦化、炼铁、炼钢及轧钢为代表的钢铁行业的五大主要生产工艺工序的主要混凝土建(构)筑物为研究对象,调研不同年代117 个建(构)筑物的特点和耐久性损伤状况;选取不同地区的两个钢铁工业区A、B,通过对其各工序建(构)筑物混凝土结构耐久性状况调研,以及局部环境调查、检测和分析,确定了钢铁工业建(构)筑物混凝土结构耐久性环境划分的指标体系;基于BP神经网络算法对各工艺流程主要建(构)筑物混凝土结构耐久性环境进行区划,给出了以烧结室、焦化厂、高炉出铁场平台、炼钢厂为例的耐久性环境等级划分图,为钢铁工业建(构)筑物混凝土结构耐久性设计、评估及修复提供可靠依据.
Study on durability environmental zoning of industrial concrete buildings and structures in iron and steel industry based on BP neural network
Due to the influence of various adverse production environments such as high temperature,humidity and corrosion,the durability problem of industrial concrete buildings and structures is very prominent.A large number of in-service industrial concrete buildings and structures have serious reinforcement corrosion and concrete deterioration,so that their service life is far less than the design service life.The main concrete structures in the five main production processes represented by sintering,coking,ironmaking,steelmaking and steel rolling of the iron and steel industry were taken as the research object,and the characteristics and durability damage of 117 buildings and structures in different ages were investigated.Two iron and steel industrial zones A and B in different regions were selected to investigate the durability of concrete buildings and structures of their main process structures,as well as local environmental investigation,detection and analysis,and the index system for the division of durability environment of concrete buildings and structures in iron and steel industry buildings was determined.The durability environment of main concrete buildings and structures in each process flow was divided based on BP neural network algorithm,and the classification diagram of durability environment was given,taking sintering chamber,coking plant,blast furnace tapping yard platform and steelmaking plant as examples,which provides a reliable basis for durability design,evaluation and repair of concrete buildings and structures in iron and steel industry.

BP neural networkiron and steel industryindustrial buildingconcrete structuredurabilityenvironment

王玲、郭小华、周楠、于英俊、关键、毕登山、张家尊、薛善刚

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中冶检测认证有限公司,北京 100088

中冶建筑研究总院有限公司,北京 100088

国家工业建构筑物安全质量安全检验检测中心,北京 100088

BP神经网络 钢铁工业 工业建(构)筑物 混凝土结构 耐久性 环境

2024

建筑结构
中国建筑设计研究院 亚太建设科技信息研究院 中国土木工程学会

建筑结构

CSTPCD北大核心
影响因子:0.723
ISSN:1002-848X
年,卷(期):2024.54(11)