Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
ZHOU Mingru, GUO Qiming, XIAO Yongzhan. RESEARCH ON SETTLEMENT PREDICTION OF SUPER HIGH-RISE BUILDINGS ON DEEP AND THICK LOESS FOUNDATION IN QINGYANG[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(8): 72-79. doi: 10.13204/j.gyjzG201905250002
Citation: ZHOU Mingru, GUO Qiming, XIAO Yongzhan. RESEARCH ON SETTLEMENT PREDICTION OF SUPER HIGH-RISE BUILDINGS ON DEEP AND THICK LOESS FOUNDATION IN QINGYANG[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(8): 72-79. doi: 10.13204/j.gyjzG201905250002

RESEARCH ON SETTLEMENT PREDICTION OF SUPER HIGH-RISE BUILDINGS ON DEEP AND THICK LOESS FOUNDATION IN QINGYANG

doi: 10.13204/j.gyjzG201905250002
  • Received Date: 2019-05-28
  • Combined with a super high-rise complex project in Qingyang, Gansu, based on the monitoring data of piled-raft foundation settlement, the three-point method, modified hyperbolic method, Poisson curve method and creep settlement practical algorithm were used to predict the settlement of deep and thick loess foundation. The settlement of high-rise buildings on deep and thick loess foundation was predicted and compared with the measured data on a building site. The research showed that the modified hyperbolic method and the creep settlement practical algorithm were suitable for settlement prediction of super high-rise buildings on deep and thick loess foundation, and the latter could better predict settlement by existing limited measured data; the rationality of effective predict for the creep practical algorithm was verified and based on the settlement prediction about super high-rise buildings by the creep practical algorithm, the effective prediction range by the modified hyperbolic method was obtained according to existing measured data and allowable errors controlled less than 4 mm.
  • 马闫,王家鼎,彭淑君,等.大厚度黄土自重湿陷性场地浸水湿陷变形特征研究[J].岩土工程学报,2014,36(3):537-546.
    戴荣良,陈晖,喻云岩.上海高层建筑桩基土类型特性和沉降分析[J].岩土工程学报,2001,23(5):627-630.
    罗小博.陇东大厚度黄土区超高层结构桩筏基础沉降规律研究[D].兰州:兰州理工大学,2018.
    龚晓楠.地基处理手册[M].北京:中国建筑工业出版社,2008.
    SRIDHARAN A,MURTHY N S,PRAKASH K.Rectangular Hyperbola Method of Consolidation Analysis.[J].Geotechnique,1987, 37(3):355-368.
    王立忠.岩土工程现场监测技术及其应用[M].杭州:浙江大学出版社,2000.
    宰金珉,梅国雄.全过程的沉降量预测方法研究[J].岩土力学,2000,21(4):322-325.
    冯文凯,刘汉超.修正双曲线法在路基沉降变形初期阶段的应用探讨[J].地质灾害与环境保护,2001(3):60-63.
    肖长生,王守林,金亮星.经验分析方法在软基沉降预测中的应用[J].铁道科学与工程学报,2012,9(3):72-76.
    陈威,唐德燕,张届.利用三点法-灰色组合模型预测铁路路基沉降[J].测绘科学,2015,40(7):37-40.
    苗学云,屈耀辉.兰新二线新疆段戈壁土地基沉降预测分析[J].路基工程,2015(4):27-31.
    于宝兴,李仲勤.高速铁路路基过渡段沉降预测研究及方法优化[J].测绘工程,2018,27(5):72-76

    ,80.
    王海英,常肖,阮祺,等.建筑垃圾填埋路基沉降预测的三点-星野法[J].铁道科学与工程学报,2017,14(3):473-479.
    刘射洪,袁聚云,赵昕.地基沉降预测模型研究综述[J].工业建筑,2014,44(增刊1):738-741,681.
    邹隽,刘胜峰.地基沉降的泊松模型预测[J].公路工程,2015,40(5):225-227

    ,230.
    姚仰平,祁生钧,车力文.高填方地基工后沉降计算[J].水力发电学报,2016,35(3):1-10.
    姚仰平,车力文,祁生钧,等.高填方地基蠕变沉降计算方法研究[J].工业建筑,2016,46(9):25-31.
    姚仰平,王珅,王乃东,等.临线堆载影响下高铁路基长期沉降预测方法[J].岩土工程学报,2019,41(4):625-630.
  • Cited by

    Periodical cited type(1)

    1. 王顺泽,姚保民,屈璐. 某高速公路物流仓储区地基沉降预测模型建立与分析. 福建交通科技. 2023(03): 56-60 .

    Other cited types(2)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (83) PDF downloads(6) Cited by(3)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return