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作 者:贾文振[1] JIA Wen-zhen(Infrastructure Department,Yantai Vocational College,Shandong Yantai 264670,China)
出 处:《齐齐哈尔大学学报(自然科学版)》2021年第5期49-54,共6页Journal of Qiqihar University(Natural Science Edition)
摘 要:常规质量检测方法存在法向量参数不完整的问题,导致检测结果的一致性程度较低,为此,设计一种基于改进蛙跳算法的公共建筑主体结构质量检测方法。根据公共建筑的主体结构特征,利用改进蛙跳算法获取结构法向量参数,确定子簇数据集与复合类样本数据的阈值,聚类公共建筑主体结构数据集,按照合理有效的检测标准,计算检测速度设置质量检测模式,实现公共建筑主体结构质量检测方法设计。为了测试此次设计的质量检测方法的有效性,选取两种常规检测方法进行检测结果一致性测试。实验结果表明,在4种不同的质量等级条件下,此次设计的质量检测方法,其质量检测结果的一致性均值,比常规检测方法1高出13.191%,比常规检测方法2高出15.191%,证明融合了改进蛙跳算法的公共建筑主体结构质量检测方法,其检测结果的一致性程度更高。Conventional quality detection methods have the problem of incomplete normal vector parameters,which leads to low consistency of detection results.This paper designs a quality detection method of public building main structure based on improved frog leaping algorithm.According to the main structure characteristics of public buildings,the improved frog leaping algorithm was used to obtain the structural normal vector parameters,determined the threshold of sub cluster data set and composite sample data,cluster the main structure data set of public buildings,calculated the detection speed and set the quality detection mode according to the reasonable and effective detection standard,so as to realize the design of quality detection method for the main structure of public buildings.In order to test the effectiveness of the design of quality detection method,select two conventional detection methods to test the consistency of test results.The experimental results show that,under four different quality levels,the consistency average value of the quality detection results of the design quality detection method is 13.191%higher than that of the conventional detection method 1 and 15.191%higher than that of the conventional detection method 2,which proves that the consistency degree of the detection results of the public building main structure quality detection method combined with the improved frog leaping algorithm is higher.
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