Advanced Search
  • Included in CSCD
  • Chinese Core Journals
  • Included in WJCI Report
  • Included in Scopus, CA, DOAJ, EBSCO, JST
  • The Key Magazine of China Technology
Volume 43 Issue 5
Dec.  2024
Turn off MathJax
Article Contents
Article Navigation >  CARSOLOGICA SINICA  > 2024  >  43(5): 1179-1186
MA Lin. Early warning of settlement and deformation of high-rise buildings on soft foundations in karst areas[J]. CARSOLOGICA SINICA, 2024, 43(5): 1179-1186. doi: 10.11932/karst20240513
Citation: MA Lin. Early warning of settlement and deformation of high-rise buildings on soft foundations in karst areas[J]. CARSOLOGICA SINICA, 2024, 43(5): 1179-1186. doi: 10.11932/karst20240513
shu

Early warning of settlement and deformation of high-rise buildings on soft foundations in karst areas

doi: 10.11932/karst20240513

  • Architectural Engineering Branch, Yangling Vocational & Technical College, Xianyang, Shaanxi 712100, China

  • Received Date: 2023-03-31
    Available Online: 2024-12-30
    Abstract
  • The background of this article pertains to a high-rise building project, which encompasses a building land area of about 4,630 m2 and features a roughly square shape in its plane. The safety classification of the building structure is designated as Level 2, while the foundation design is categorized as Level A. The foundation form is raft foundation. This building project is of high engineering importance. According to the survey results, underlying strata of the building foundation are mainly composed of clay and limestone layers, each possessing distinct engineering properties that are generally unfavorable. In addition, the average annual rainfall in the project area is 1,107.27 mm, and the dissolution effect of the bedrock will continue. Even worse, the building has already undergone unfavorable deformation. Therefore, to ensure the safe operation of the building, it is necessary to conduct research on early warning of its settlement and deformation.In this study, a total of three types of warning criteria were constructed, namely, stability criterion, ultimate deformation criterion, and deformation rate criterion. Among them, the implementation of stability criterion involves sharp point mutation analysis. This technique derived mutation characteristic values from sharp point mutation analysis of building settlement data and used these values to assess the stable state of building settlement. The ultimate deformation criterion was calculated with the use of the ultimate displacement formula to obtain the ultimate deformation value. This value was then combined with existing monitoring data to construct corresponding criterion indicators. The implementation of the deformation rate criterion was conducted with the rescaled range method, which calculated the Hurst index through rescaled range analysis of building settlement data. This analysis evaluated the development trend of building settlement and deformation. Giving the differing emphases of the three criteria, the early warning level of building settlement and deformation, determined based on principle of unfavorable conditions, is deemed reasonable and accurate through comparative analysis.According to the analysis results, there is a significant difference in settlement and deformation among the monitoring points of the building, with a range of 22.76−56.27 mm, indicating notable settlement characteristics. The primary causes of this settlement are the soil and groundwater conditions of foundation. In the process of early warning of building settlement and deformation, the analysis mainly focuses on monitoring points JC3−JC5. The stability criterion shows that the △ values of the three monitoring points are all greater than 0, indicating that they are all in a stable state, and their corresponding early warning levels of settlement and deformation fall into Levels I−III. The range of evaluation indicators for ultimate deformation criterion is from 0.61 to 0.74, corresponding to the early warning Levels II−III of settlement and deformation, that is, the early warning level of JC5 monitoring point falls into Level II, and the other two monitoring points are Level III. The deformation rate criterion shows that the Hurst index values of the three monitoring points are all less than 0.5, indicating a decreasing trend in the rate of building settlement and deformation. The trend level of JC3 monitoring point is Level 2, while that of the other two monitoring points is Level 1. By comparison, based on the principle of unfavorable conditions, the early warning level of the three monitoring points is determined to be Level III. Therefore, the degree of settlement hazard for this building is moderate. It is necessary to not only increase the monitoring frequency to observe subsequent changes but also to take reinforcement measures.Through this study, a novel approach has been developed for the early warning of building settlement and deformation. This method offers a theoretical basis for ensuring the safe operation of buildings in later stages and holds significant practical implications.

     

    • FullText(HTML)
  • loading
    • References(13)
  • [1]
    石晟, 杜东升, 徐敬海, 王曙光. 基础隔震结构基于实时监测数据的多级预警及其在南京博物院老大殿中的应用[J]. 建筑结构学报, 2022, 43(4):47-57.

    SHI Sheng, DU Dongsheng, XU Jinghai, WANG Shuguang. Multi-level early-warning system for base-isolated structures based on real-time monitoring data and its application on the Old Hall of Nanjing Museum[J]. Journal of Building Structures, 2022, 43(4): 47-57.
    [2]
    沈阳, 徐磊, 郑冠雨, 章超, 匡志平. 考虑风险因素耦合的超高层施工预警方法研究[J]. 郑州大学学报(工学版), 2021, 42(4):98-104, 110.

    SHEN Yang, XU Lei, ZHENG Guanyu, ZHANG Chao, KUANG Zhiping. Research on early-warning method for super high-rise building construction considering coupling effect of risk factors[J]. Journal of Zhengzhou University (Engineering Science), 2021, 42(4): 98-104, 110.
    [3]
    沈阳, 徐磊, 王少纯. 基于风险管理的整体钢平台变形预警指标研究[J]. 中国安全科学学报, 2021, 31(6):56-63.

    SHEN Yang, XU Lei, WANG Shaochun. Research on early-warning index for deformation of integrated scaffolding and formwork with steel platform based on risk management[J]. China Safety Science Journal, 2021, 31(6): 56-63.
    [4]
    左自波, 潘曦, 黄玉林, 汪小林, 张龙龙. 超高层ICCP安全监测与控制的预警指标研究[J]. 中国安全科学学报, 2020, 30(1):53-60.

    ZUO Zibo, PAN Xi, HUANG Yulin, WANG Xiaolin, ZHANG Longlong. Early warning indicators for safety monitoring and control of super high-rise ICCP[J]. China Safety Science Journal, 2020, 30(1): 53-60.
    [5]
    肖鸿斌, 金耀岷. 深埋串珠状溶洞的超高层基础设计案例分析[J]. 中国岩溶, 2023, 42(2):382-390. doi: 10.11932/karst20230209

    XIAO Hongbin, JIN Yaomin. Case study on super high-rise foundation design of the deep-buried beaded karst cave[J]. Carsologica Sinica, 2023, 42(2): 382-390. doi: 10.11932/karst20230209
    [6]
    曹贤发, 刘玉康, 刘之葵, 张炳辉. 基于强溶蚀带特征的地基岩溶发育程度评价方法[J]. 中国岩溶, 2020, 39(4):577-583.

    CAO Xianfa, LIU Yukang, LIU Zhikui, ZHANG Binghui. Evaluation method of development degree based on features of intense dissolution layer[J]. Carsologica Sinica, 2020, 39(4): 577-583.
    [7]
    李想, 尹骥, 卫佳琦, 韦马季. 深覆盖岩溶地区高层建筑桩基优化实践[J]. 中国岩溶, 2019, 38(4):591-599.

    LI Xiang, YIN Ji, WEI Jiaqi, WEI Maji. Optimization of pile foundation for high - rise buildings in deep - covered karst areas[J]. Carsologica Sinica, 2019, 38(4): 591-599.
    [8]
    代长生. 基于变形数据分解处理的基坑危险性潜势分级研究[J]. 地质与勘探, 2022, 58(6):1271-1280. doi: 10.12134/j.dzykt.2022.06.011

    DAI Changsheng. Hazard potential classification of foundation pit based on deformation data decomposition[J]. Geology and Exploration, 2022, 58(6): 1271-1280. doi: 10.12134/j.dzykt.2022.06.011
    [9]
    耿海深, 吕文斌, 栗燊, 蒋国良. 滑坡失稳机理分析及预警预测研究[J]. 西北师范大学学报(自然科学版), 2021, 57(6):103-109.

    GENG Haishen, LYU Wenbin, LI Shen, JIANG Guoliang. Mechanism analysis and early warning prediction of landslide instability[J]. Journal of Northwest Normal University (Natural Science), 2021, 57(6): 103-109.
    [10]
    李晓斌. 软岩隧道大变形预警分级研究及发展趋势[J]. 地质与勘探, 2021, 57(5):1149-1157. doi: 10.12134/j.dzykt.2021.05.019

    LI Xiaobin. Early warning classification of large deformation in soft rock tunnels and its development trend[J]. Geology and Exploration, 2021, 57(5): 1149-1157. doi: 10.12134/j.dzykt.2021.05.019
    [11]
    宁波, 刘玉健, 王安东. 巨型古滑坡的稳定性评价及发展趋势分析[J]. 大地测量与地球动力学, 2022, 42(5):515-519.

    NING Bo, LIU Yujian, WANG Andong. Stability evaluation and development trend analysis of giant ancient landslide[J]. Journal of Geodesy and Geodynamics, 2022, 42(5): 515-519.
    [12]
    薛晓辉, 周玲, 秦爱红. 库岸涉水滑坡危险性现状分析与预测评价[J]. 中国安全生产科学技术, 2021, 17(5):169-175. doi: 10.11731/j.issn.1673-193x.2021.05.026

    XUE Xiaohui, ZHOU Ling, QIN Aihong. Status analysis and prediction assessment on risk of wading landslide on reservoir bank[J]. Journal of Safety Science and Technology, 2021, 17(5): 169-175. doi: 10.11731/j.issn.1673-193x.2021.05.026
    [13]
    邓小鹏. 基于信息分解的滑坡变形稳定性评价及预警分析[J]. 人民长江, 2021, 52(5):101-107.

    DENG Xiaopeng. Landslide deformation stability evaluation and early warning analysis based on information decomposition[J]. Yangtze River, 2021, 52(5): 101-107.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 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
    Get Citation
    PDF(811.0KB)
    XML

    Article Metrics

    Article views (16) PDF downloads(5) Cited by()
    Proportional views
    Related

    Website Copyright © CARSOLOGICA SINICA 桂ICP备05009877号-1

    Sponsor: Chinese Academy of Geological Sciences Sponsored by: Institute of Karst Geology, Chinese Academy of Geological Sciences Address: No.50, Qixing Road, Guilin, Guangxi

    Post Code: 541004 Tel: 0773-5812949 7796657 Email: zgyr@mail.cgs.gov.cn; zgyrbjb@163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return