检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:周玲[1] 夏永红 Zhou Ling;Xia Yonghong(Digital Architecture Shaanxi University Engineering Research Center,Xi′an Siyuan University,Xi′an 710038,China;China Nuclear Engineering Consulting Co.Ltd.,Beijing 100048,China)
机构地区:[1]西安思源学院数字化建筑陕西省高校工程研究中心,西安710038 [2]中核工程咨询有限公司,北京100048
出 处:《黑龙江科技大学学报》2022年第5期659-664,共6页Journal of Heilongjiang University of Science And Technology
摘 要:为获得基坑沉降变形规律,基于基坑沉降变形监测数据,利用互补式集合经验模态将基坑沉降数据分解为趋势项和随机项,结合长短期记忆模型和多元线性回归分别构建趋势项和随机项预测模型,实现基坑沉降组合预测。结果表明:基坑沉降变形会进一步增加,增加速率较小;各监测点的Z值均小于0,其沉降变形速率具减弱趋势,且随时间持续,沉降速率的减小趋势更为显著,与沉降预测结果一致,基坑沉降大致趋于稳定。This paper is aimed at exploring the law behind foundation pit settlement and deformation.Based on the monitoring data,the study involves decomposing the foundation pit settlement data into trend items and random items by using complementary collective empirical mode,and respectively constructing the trend item and random item prediction models by combining the optimized long-term and short-term memory model and multiple linear regression,therefore,realizing the combined prediction of foundation pit settlement.The results show that the settlement deformation of foundation pit will still increase further,but the increasing rate tends to be small;the Z value at each monitoring point is less than 0,the settlement deformation rate shows a decreasing trend,and the decreasing trend of settlement rate is more significant over time,which is consistent with the settlement prediction results,and it suggests that the settlement of foundation pit tends to be stable.
关 键 词:基坑 沉降变形 经验模态 长短期记忆模型 趋势性检验
分 类 号:TU753[建筑科学—建筑技术科学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.15