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作 者:黄可 HUANG Ke(School of Architecture and Civil Engineering,Kunming University of Science and Technology,Kunming Yunnan 650500,China)
机构地区:[1]昆明理工大学建筑与土木工程学院,云南昆明650500
出 处:《计算机仿真》2020年第7期414-417,454,共5页Computer Simulation
摘 要:为了对钢筋混凝土出现的实际损伤状态进行修复,提出了一种钢筋混凝土墩柱实际损伤状态预测技术。首先通过动态主元分析法构建动态数据矩阵,并拟定多传感器采集样本工况下的特征集,之后确定滞后因子与干扰动态数据之间的关联性,再利用最小二乘支持向量机对干扰因素处理,并优化后续模型的计算速度和精准度,然后分析损伤源的扩散流程与腐蚀程度,利用得到的数据构建密实模型,最后通过孔洞性材料力学退化程度和损伤产生孔隙率的尺寸,实现混凝土墩柱实际损伤状态预测。仿真结果证明,所提方法具有预测效率快和精准度较高的优点。In order to repair the actual damage state of reinforced concrete,this paper proposes a prediction technology for actual damage state of reinforced concrete pier.Firstly,the dynamic data matrix was constructed by dynamic principal component analysis,and the feature set under the multi-sensor sampling condition was proposed.After that,the correlation between lag factor and dynamic interference data was determined.Moreover,the least square support vector machine was used to process the interference factors.The calculation speed and accuracy of subsequent models were optimized.Then,the diffusion process and corrosion degree of damage source were analyzed,and the dense model was constructed by data.Finally,the actual damage state of concrete pier was predicted by the mechanical degradation degree of porous material and the size of porosity.Simulation results show that the proposed method has high prediction efficiency and accuracy.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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