摘要
针对特定场地下土工构筑物的正常使用极限状态,采用近年发展的几何可靠性方法计算了多种构筑物的可靠度指标。考虑同一场地下的钻孔灌注桩、抗浮锚杆和CFG桩单桩加载变形测试曲线的离散性,各曲线回归参数呈现差异并可作为随机变量,进而探讨了各曲线回归参数间的相关性及联合分布特性。基于这些回归参数的联合发散概率密度等值线,即随机变量刚好达到极限承载能力状态,该几何可靠性算法可在随机变量的原始空间求得土工构筑物的可靠度指标。通过比对该几何可靠度指标与常规的一次可靠性算法成果,验证了该几何可靠性计算技术的可行性。计算表明,几何可靠性评价模型实施简便,易于被工程技术人员接受。
According to the limit state of geotechnical structures at a specific site under normal conditions of use, the reliability index of various structures is calculated by geometric reliability method that developed in recent years. At the same site, considering the discreteness of load-displacement curves of bored piles, anti-floating anchors and single CFG piles, the regression parameters of these curves show differences and can be regarded as random variables. The correlation and joint distribution characteristics of the site-specific regression parameters are discussed. Based on the joint divergence probability density contour(PDC) of these regression parameters, which means the random variables just reach the critical state of limit bearing capacity, the reliability index of geotechnical structures is calculated by the geometric reliability algorithm in the original space of random variables. The feasibility of geometric reliability algorithm is verified by comparing the geometric reliability index with the results calculated by conventional first-order reliability method. The results show that the geometric reliability evaluation model is simple to implement and can be easily accepted by engineers and technicians.
作者
吴兴征
王瑞凯
辛军霞
WU Xing-zheng;WANG Rui-kai;XIN Jun-xia(College of Civil Engineering and Architecture,Hebei University,Baoding,Hebei 071002,China;Beijing Building Construction Research Institute,Beijing 100039,China;Beijing Construction Engineering Quality First Testing Institute Co.,Ltd.,Beijing 100039,China)
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2020年第6期2070-2080,共11页
Rock and Soil Mechanics
基金
河北省自然科学基金面上项目(No.E2019201296)
河北省高等学校科学技术研究重点项目(No.ZD2018216)
一省一校专项资助(No.801260201262)。
关键词
离散性
概率密度
拟合优度
承载能力
几何可靠性
discreteness
probability density
goodness-of-fit
bearing capacity
geometric reliability