Prefabricated Concrete Component Geometry Deviation Statistical Analysis

The research objects of this paper were the prefabricated concrete components produced by four enterprises in China, and the dimension deviation data of more than 1400 prefabricated concrete components are measured with high-precision 3D photogrammetry technology. The nonparametric Kruskal–Wallis te...

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Main Authors: Xiaoyong Luo, Hao Long, Shuang Dong, Jingyi Wu
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/9993451
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spelling doaj-9a7ea9ba5fc24e84b03a213afb39f9ea2021-05-31T00:34:10ZengHindawi LimitedMathematical Problems in Engineering1563-51472021-01-01202110.1155/2021/9993451Prefabricated Concrete Component Geometry Deviation Statistical AnalysisXiaoyong Luo0Hao Long1Shuang Dong2Jingyi Wu3Department of Civil EngineeringDepartment of Civil EngineeringDepartment of Civil EngineeringHatchip Co.The research objects of this paper were the prefabricated concrete components produced by four enterprises in China, and the dimension deviation data of more than 1400 prefabricated concrete components are measured with high-precision 3D photogrammetry technology. The nonparametric Kruskal–Wallis test was carried out for the size deviation of the same type of components produced by different enterprises. The distribution characteristics of geometric parameters of typical components of prefabricated structures in China, such as beams, columns, wall boards, and composite slabs, were analyzed by using the probability statistical method. The Kolmogorov–Smirnov goodness-of-fit method was used to test the cumulative distribution function of dimension deviation, and the size distribution of fabricated components was studied. The results showed that there was no significant difference in the size deviation of the same-type component produced by different enterprises, and the range of geometric parameter uncertainty random variables was small, which was between 0.99 and 1.02. Also, the fluctuation was small, the coefficient of variation was below 0.0093, and the variability of component size deviation was small. The transverse dimension of the component shows a positive deviation, the vertical dimension of component shows a negative deviation, and the dimension deviation of prefabricated concrete components follows the normal distribution.http://dx.doi.org/10.1155/2021/9993451
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoyong Luo
Hao Long
Shuang Dong
Jingyi Wu
spellingShingle Xiaoyong Luo
Hao Long
Shuang Dong
Jingyi Wu
Prefabricated Concrete Component Geometry Deviation Statistical Analysis
Mathematical Problems in Engineering
author_facet Xiaoyong Luo
Hao Long
Shuang Dong
Jingyi Wu
author_sort Xiaoyong Luo
title Prefabricated Concrete Component Geometry Deviation Statistical Analysis
title_short Prefabricated Concrete Component Geometry Deviation Statistical Analysis
title_full Prefabricated Concrete Component Geometry Deviation Statistical Analysis
title_fullStr Prefabricated Concrete Component Geometry Deviation Statistical Analysis
title_full_unstemmed Prefabricated Concrete Component Geometry Deviation Statistical Analysis
title_sort prefabricated concrete component geometry deviation statistical analysis
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1563-5147
publishDate 2021-01-01
description The research objects of this paper were the prefabricated concrete components produced by four enterprises in China, and the dimension deviation data of more than 1400 prefabricated concrete components are measured with high-precision 3D photogrammetry technology. The nonparametric Kruskal–Wallis test was carried out for the size deviation of the same type of components produced by different enterprises. The distribution characteristics of geometric parameters of typical components of prefabricated structures in China, such as beams, columns, wall boards, and composite slabs, were analyzed by using the probability statistical method. The Kolmogorov–Smirnov goodness-of-fit method was used to test the cumulative distribution function of dimension deviation, and the size distribution of fabricated components was studied. The results showed that there was no significant difference in the size deviation of the same-type component produced by different enterprises, and the range of geometric parameter uncertainty random variables was small, which was between 0.99 and 1.02. Also, the fluctuation was small, the coefficient of variation was below 0.0093, and the variability of component size deviation was small. The transverse dimension of the component shows a positive deviation, the vertical dimension of component shows a negative deviation, and the dimension deviation of prefabricated concrete components follows the normal distribution.
url http://dx.doi.org/10.1155/2021/9993451
work_keys_str_mv AT xiaoyongluo prefabricatedconcretecomponentgeometrydeviationstatisticalanalysis
AT haolong prefabricatedconcretecomponentgeometrydeviationstatisticalanalysis
AT shuangdong prefabricatedconcretecomponentgeometrydeviationstatisticalanalysis
AT jingyiwu prefabricatedconcretecomponentgeometrydeviationstatisticalanalysis
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