摘要
上海近代砖木结构房屋质量劣化程度受到多种因素影响,涉及数据量较大,考虑到各指标均为有序分类变量且之间存在着相关关系,应用大数据分析技术中的主成分分析法和复相关系数赋权法,对上海近代砖木结构房屋质量劣化进行定量评定,以提升评定结果的准确性。首先选取材料强度和构件损伤作为房屋质量劣化评定指标,以此为基础采用主成分分析法和复相关系数赋权法分析评价指标数据,获取最终评价结果,即可实现上海近代砖木结构房屋质量劣化评定。工程算例评定结果表明:主成分分析法和复相关系数赋权法评定数值较为相近,且两者与实际鉴定结果一致,证实了2种方法的可行性。
The quality deterioration degree of modern brick-wood houses in Shanghai is affected by various factors and involves a large amount of data. Since indicators are ordered categorical variables, and there is a correlation between them, the principal component analysis method and the weighting method of complex correlation coefficient in the big data analysis technology were applied to quantitatively evaluate the quality deterioration of the modern brick-wood houses in Shanghai, so as to improve the accuracy of evaluation results. Firstly, material strength and component damage were selected as the evaluation indicators of the quality deterioration of the houses. On this basis, the principal component analysis method and the weighting method of the complex correlation coefficient were used to analyze the data of evaluation indicators, and the final evaluation results were obtained. As a result, the quality deterioration of the modern brick-wood houses in Shanghai was evaluated. The evaluation results of an engineering example show that the evaluation values of the principal component analysis method and the weighting method of the complex correlation coefficient are relatively close, and they are consistent with the actual measured results, which confirms the feasibility of the two methods.
作者
白雪
蒋利学
许清风
郑士举
BAI Xue;JIANG Lixue;XU Qingfeng;ZHENG Shiju(Shanghai Key Laboratory of Engineering Structure Safety,Shanghai Research Institute of Building Sciences Co.,Ltd.,Shanghai 200032,China)
出处
《工业建筑》
CSCD
北大核心
2022年第10期111-114,188,共5页
Industrial Construction
基金
上海市科学技术委员会科研项目(19DZ1202400)
上海市住房和城乡建设管理委员会科研项目(沪建科2021-002-040)。
关键词
大数据分析技术
近代砖木结构
主成分分析法
复相关系数赋权法
劣化评定
big data analysis technology
modern brick-wood structure
principal component analysis method
weighting method of complex correlation coefficient
deterioration evaluation
