[1]王雪艳,袁一力,张珊珊.陕北地区黄土自然高边坡与填方边坡可靠度分析[J].西安建筑科技大学学报(自然科学版),2021,53(05):665-672.[doi:10.15986/j.1006-7930.2021.05.008 ]
　WANG Xueyan,YUAN Yili,ZHANG Shanshan.Reliability analysis of natural high loess slope and backfill slope in Northern Shaanxi area[J].J. Xi'an Univ. of Arch. & Tech.(Natural Science Edition),2021,53(05):665-672.[doi:10.15986/j.1006-7930.2021.05.008 ]
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陕北地区黄土自然高边坡与填方边坡可靠度分析()
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西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
53
期数:
2021年05期
页码:
665-672
栏目:
出版日期:
2021-10-25

文章信息/Info

Title:
Reliability analysis of natural high loess slope and backfill slope in Northern Shaanxi area
文章编号:
1006-7930(2021)05-0665-08
作者:
王雪艳1; 袁一力2; 张珊珊2; 3
(1.西安工程大学 城市规划与市政工程学院,陕西 西安 710048; 2.西安建筑科技大学 土木工程学院,陕西 西安 710055; 3.德州市房屋建设综合开发集团有限公司,山东 德州 253000)
Author(s):
WANG Xueyan1;  YUAN Yili2;  ZHANG Shanshan2; 3
(1.School of Urban Planning and Municipal Engineering, Xi'an Polytechnic University,Xi'an 710048,China; 2.School of Civil Engineering, Xi'an Univ.of Arch. & Tech., Xi'an 710055,China; 3.Dezhou Housing Construction Comprehensive Development Group Co., Ltd., Shandong Dezhou 253000,China)
关键词:
黄土边坡;  可靠度分析;  c、φ变异性;  坡率优化
Keywords:
loess slope;  reliability analysis;  variability of c、φ;  slope rate optimization
分类号:
TU444
DOI:
10.15986/j.1006-7930.2021.05.008
文献标志码:
A
摘要:
针对陕北某高填方工程典型黄土Q2、Q3的抗剪强度指标分布概率模型及变异性进行了统计分析,并将结果应用于黄土自然高边坡和填方边坡可靠度分析中.对比了可靠度分析与有限元分析的边坡稳定性计算结果,并初步探讨了基于可靠度分析法的黄土填方边坡坡率优化办法.研究结果表明:Q2和Q3的c、φ值均接受正态分布和对数正态分布,且c值的变异性较大,φ值的变异性较小; φ值变异性对黄土自然边坡的可靠性指数影响程度普遍大于c值; 相对应地,对于填方边坡而言c值变异性的影响更大,这可能与土体颗粒得重新排列与结构重新分布有关; 通过方法的对比分析,验证了可靠度分析方法的准确性与适用性,在缺乏模型试验及监测数据的支撑下,可用于黄土边坡的可靠度分析及坡率优化; 若要求填方边坡失效概率小于10%,则坡高与最小坡度系数的关系式为y=0.008 2x+1.422.
Abstract:
The distribution probability model and variability of shear strength index of typical loess Q2 and Q3 in a high fill project in northern Shaanxi were statistically analyzed, and the results were applied to the reliability analysis of natural high loess slope and backfill slope. The slope stability calculation results of reliability analysis and finite element analysis were compared, and the optimization method of loess backfill slope ratio was preliminarily discussed based on reliability analysis. The results show that both normal and lognormal distribution is capable of describing the mechanical behavior c and φ of Q2 and Q3 loess, and the cohesion c tends to have a larger variability than φ. The effect of φ value variability on the reliability index of loess natural slope is generally greater than that of c value. Correspondingly, the variability of c value has a greater impact on the fill slope, which may be related to the rearrangement of soil particles and the redistribution of soil structure. The accuracy and applicability of the reliability analysis method are verified by comparative analysis. The method can be used for reliability analysis and slope rate optimization of loess slope without support of model test and monitoring data. If the failure probability of fill slope is required to be less than 10%, the relational expression between slope height and minimum slope coefficient is y=0.008 2x+1.422

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备注/Memo

备注/Memo:
收稿日期:2021-07-13修改稿日期:2021-09-16
基金项目:陕西省重点研发计划基金资助项目(2021SF-523); 陕西省教育厅科研计划基金资助项目(19JK0381)
第一作者:王雪艳(1984-),女,讲师,博士,主要从事土木工程建造与管理研究. E-mail: wxy19860412@.163.com
更新日期/Last Update: 2021-10-25