白志华, 李万州, 李海波, 张仕林, 周家文. 2018: 红石岩震损高陡边坡工程岩体质量评价. 工程地质学报, 26(5): 1155-1161. DOI: 10.13544/j.cnki.jeg.2018029
    引用本文: 白志华, 李万州, 李海波, 张仕林, 周家文. 2018: 红石岩震损高陡边坡工程岩体质量评价. 工程地质学报, 26(5): 1155-1161. DOI: 10.13544/j.cnki.jeg.2018029
    BAI Zhihua, LI Wanzhou, LI Haibo, ZHANG Shilin, ZHOU Jiawen. 2018: ENGINEERING ROCK MASS QUALITY ASSESSMENT FOR POST EARTHQUAKE HIGH SLOPE AT HONGSHIYAN. JOURNAL OF ENGINEERING GEOLOGY, 26(5): 1155-1161. DOI: 10.13544/j.cnki.jeg.2018029
    Citation: BAI Zhihua, LI Wanzhou, LI Haibo, ZHANG Shilin, ZHOU Jiawen. 2018: ENGINEERING ROCK MASS QUALITY ASSESSMENT FOR POST EARTHQUAKE HIGH SLOPE AT HONGSHIYAN. JOURNAL OF ENGINEERING GEOLOGY, 26(5): 1155-1161. DOI: 10.13544/j.cnki.jeg.2018029

    红石岩震损高陡边坡工程岩体质量评价

    ENGINEERING ROCK MASS QUALITY ASSESSMENT FOR POST EARTHQUAKE HIGH SLOPE AT HONGSHIYAN

    • 摘要: 高陡岩质边坡在经历强震过后,其浅部岩体受地震动力瞬时循环载荷作用而导致岩体质量下降,即所谓震损边坡。震损边坡的工程岩体质量对施工措施的制定和边坡安全评价至关重要。针对震损边坡岩体的实际特点,以工程岩体质量评价的BQ分级体系为基础,应用三维激光扫描技术来识别岩体结构面和节理裂隙,并结合岩块单轴抗压强度试验,建立了震损边坡工程岩体质量评价方法。应用提出的方法对云南鲁甸红石岩震损边坡Ⅱ区进行工程岩体质量评价,分析结果表明:震损边坡Ⅱ区浅部岩体较为破碎、受长期卸荷和地震扰动影响,节理裂隙发育,运用三维激光扫描技术识别、统计岩体结构面情况,再结合常规的岩体质量分类方法,最终确定岩体分级为Ⅳ类,结果较符合实际情况。该方法能够远程非接触式地识别统计岩体的结构面信息,尤其适合岩体破碎或坡面高陡而技术人员无法到达的危险边坡的岩体质量评价,可为其他类似工程提供参考。

       

      Abstract: Strong earthquake can affect the engineering quality of the rock mass forming the shallow strata of the high and steep rock slope. Moreover, engineering rock mass quality of the slope damaged by strong earthquake is crucial to making construction management plan and assessing the safety of slope. Considering actual characteristics of the slope caused by seismic disturbance, this paper applies three-dimensional laser scanning technology, based on the basic quality(BQ)system, to recognize rock mass discontinuity and joint cracks. Meanwhile, the paper combines with rock mechanical test, puts forward a method for engineering slope rock mass quality assessment. The presented method is used to assess the engineering rock mass quality of the Hongshiyan slope(zone Ⅱ)in Ludian, Yunnan Province. The results show that the shallow rock mass is awfully broken, a bit hard, and is classified as Ⅳ-class. Furthermore, the results are consistent with the practical situation. The present method can identify the structural surface information on the premise of not arriving at measurement site and is particularly appropriate for broken rock mass quality assessment of high and steep slope where surveyors cannot arrive. The paper can provide a reference for other similar projects.

       

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