Effect of Uncertainty in Design Decisions for Driven Piles in Soil with High Boulder Content

被引:0
|
作者
Cannizzaro, Chiara [1 ]
Alinejad, Maedeh [2 ]
Beijer-Lundberg, Anders [3 ]
Larsson, Stefan [1 ]
Spross, Johan [1 ]
机构
[1] KTH Royal Inst Technol, Div Soil & Rock Mech, Stockholm, Sweden
[2] GeoMind AB, Nacka, Sweden
[3] ELU Konsult AB, Stockholm, Sweden
来源
GEO-RISK 2023: ADVANCES IN MODELING UNCERTAINTY AND VARIABILITY | 2023年 / 347卷
关键词
OBSERVATIONAL METHOD;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Driven piles can be severely damaged during driving into soil with high boulder content and can potentially lose their structural integrity, resulting in premature pile refusal. This can cause large additional project cost and delays, including an urgency to change the design in progress. Geotechnical uncertainties related to the spatial variability of soil's boulder content aggravate the complexity of the problem, making it difficult to assess the probability of premature pile refusal due to boulders and to identify the optimal pile design and driving strategy. Existing tools for drivability assessment are mainly deterministic and excessively simplistic, relying on the technical expertise of the personnel involved in the design and execution of the project rather than adopting a systematic treatment of the uncertainties at the specific geological location. A transparent methodology to support the decision-making in pile design is necessary for a cost-effective driving and optimal design solutions. This paper discusses how pile design can be understood from a risk perspective, with specific focus on the assessment of pile drivability. It is found that a new probabilistic approach that provides a correlation between the results from site investigations with the quantities of boulder in the soil layer by inverse analysis can create a solid basis for decision-making in pile design.
引用
收藏
页码:268 / 276
页数:9
相关论文
共 48 条
  • [21] Solidification effect and mechanism of ionic soil stabilizer applied on high-water-content clay
    Xue-Ting Wu
    Yi Qi
    Bin Chen
    Bulletin of Engineering Geology and the Environment, 2021, 80 : 8583 - 8595
  • [22] Preferential flow of surface-applied solutes: Effect of lysimeter design and initial soil water content
    Williams, Mark R.
    Coronel, Oscar
    McAfee, Scott J.
    Sanders, Laura L.
    VADOSE ZONE JOURNAL, 2020, 19 (01)
  • [23] Scaling Factors Quantifying Seismic Load Uncertainty with Soil Nonlinearity Effect in Displacement-Based Design of Bridge Abutments
    Jadhav, Prajakta R.
    Prashant, Amit
    JOURNAL OF BRIDGE ENGINEERING, 2022, 27 (11)
  • [24] Design and experimentation of soil organic matter content detection system based on high-temperature excitation principle
    Jia, Cunhu
    Zhou, Tong
    Zhang, Kailiang
    Yang, Li
    Zhang, Dongxing
    Cui, Tao
    He, Xiantao
    Sang, Xingchao
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 214
  • [25] Effect of Shallow-Buried High-Intensity Mining on Soil Water Content in Ningtiaota Minefield
    Cui, Fan
    Du, Yunfei
    Ni, Jianyu
    Zhao, Zhirong
    Peng, Shiqi
    WATER, 2021, 13 (03)
  • [26] EFFECT ON SOIL-CONDITIONS OF MECHANIZED CULTIVATION AT HIGH MOISTURE-CONTENT AND OF LOOSENING BY HAND DIGGING
    GOODERHAM, PT
    JOURNAL OF AGRICULTURAL SCIENCE, 1976, 86 (JUN): : 567 - 571
  • [27] Effect of electrokinetic process on in situ stabilization and detoxification of arsenic-contaminated soil with high content of calcium
    Cheng, Fenglian
    Guo, Shuhai
    Zeng, Hui
    Wu, Bo
    ENVIRONMENTAL RESEARCH, 2024, 241
  • [28] Experimental study on the effect of stress and water content on resilient modulus of unsaturated subgrade soil: implications for pavement design
    Mulugeta Damtew Amare
    Tompai Zoltan
    Lemlem Abebaw Asaye
    Yasir Mahmood
    Arabian Journal of Geosciences, 2025, 18 (4)
  • [29] High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates
    Julia Ling
    Maxwell Hutchinson
    Erin Antono
    Sean Paradiso
    Bryce Meredig
    Integrating Materials and Manufacturing Innovation, 2017, 6 : 207 - 217
  • [30] High-Dimensional Materials and Process Optimization Using Data-Driven Experimental Design with Well-Calibrated Uncertainty Estimates
    Ling, Julia
    Hutchinson, Maxwell
    Antono, Erin
    Paradiso, Sean
    Meredig, Bryce
    INTEGRATING MATERIALS AND MANUFACTURING INNOVATION, 2017, 6 (03) : 207 - 217