摘要
建筑裂缝影响建筑物的安全和美观,裂缝变化过程中会产生大量数据,将大数据应用到建筑裂缝中是技术发展的需要。若国家建立建筑数据平台,存储试验、工程和事故的大数据,通过输入数据条件可直接输出构件的最佳设计结果。结合结构构件的传统公式及设计方法,构建建筑裂缝大数据平台,建设建筑裂缝数据中心,运用大数据随机森林和GDBT算法估测出最佳建筑构件的设计,对建筑裂缝进行分析和预测并提出裂缝处理的解决方案。
Building cracks affect the safety and aesthetics of buildings. It＇s necessary for technological development to create a lot of data in the process of building cracks and apply mass data to building cracks. If our country builds up the building data platform, storing large data of experiments, engineering and project accidents, the best design results can be output directly by inputting data conditions. Based on the traditional formula and design method of structural element, the data platform of building cracks will be constructed, the building crack data center will be constructed. And using mass data random forest and GDBT algorithm to estimate the design of the best building components, we can analyze and predict the building cracks and propose the solution of crack treatment.
出处
《建筑技术》
2018年第1期61-64,共4页
Architecture Technology
基金
教育部人文社会科学研究专项任务项目(工程科技人才培养研究)“基于“互联网+”思维的工程人才混合式培养模式研究”(16JDGC012)
山东理工大学大学生创新研究项目“建筑墙体裂缝的研究及处理”(2015170)
关键词
大数据
建筑裂缝
数据分析
随机森林模型
mass data
building crack
data analysis
random forest model width
