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1.
隧洞围岩分类与洞径和超欠挖之间的关系研究 总被引：5，自引：0，他引：5
岩体的地质结构特征是影响隧洞围岩超欠挖的主要因素,正确评价岩体的质量,对岩体进行分类,并研究岩体质量与隧洞超欠挖之间的关系对分析和预测隧洞超欠挖具有重要的意义。对隧洞围岩的RMR分类和Q分类与超欠挖之间的关系进行了详细研究,研究了在同类岩体条件下不同开挖洞径与隧洞超欠挖之间的关系,并由此建立了RMR分类和Q分类之间的关系,得出围岩的RMR分类和Q分类与隧洞超欠挖呈线性关系和对数线性关系,根据超欠挖建立起来的RMR分类和Q分类之间的关系比较符合工程实际。最后研究了超欠挖与围岩分类及洞径之间的复相关关系。 相似文献
2.
In this paper, preliminary support design of Kaletepe tunnel, located on Bilecik-Istanbul highway, Turkey, was analyzed by empirical and numerical methods. The rock mass rating (RMR) and rock mass quality (Q) systems were employed for empirical rock mass quality determination. Numerical analysis for the stress–strain distribution of the tunnel excavation and support systems was also carried out. The applied support performance was investigated at different sections of the tunnel route. It was seen that empirical and numerical approaches showed similar results. This indicates that when the empirical method is supported by numerical method, the preliminary support design will be more reliable. 相似文献
3.
This paper encompasses the engineering geological properties of rock mass along the power tunnel of hydropower in Kohistan, Khayber Pakhtun Khawa (KPK), Pakistan. The major geological units of the study area are Chilas complex (CC) and Gilgit complex (GC) that consists mostly of igneous and metamorphic rocks. Discontinuity surveys were conducted to classify the rock mass by utilizing rock mass rating (RMR) and tunneling quality index (Q) classification systems. RMR system involves collection of data for parameters of rock strength, RQD, spacing of discontinuities, condition of discontinuities, groundwater condition and Q system involves rock quality designation (RQD), joint roughness (Jr), joint sets (Js), joint alteration (Ja), stress reduction factor (SRF) and joint water reduction (Jw). RMR values ranges from 46 to 66 (fair to good) for rock unit of Chilas complex (CC) and 50 to 58 (fair) for rock unit of Gilgit complex (GC). The evaluated values of tunnel quality by Q-system are 1.55 to 6.4 (poor to fair) for Chilas complex (CC) and 1.35 to 1.84 (poor) for Gilgit complex (GC). The required support along the tunnel route is also estimated by both classification systems. Unwedge program is used to analyze the unstable zones due to the intersection of different joint sets. Total 14 cases are analyzed in Unwedge from which 3 cases have failure potential with FOS less than 1. These failure potential blocks can become stable by applying further support of rock bolting and shotcrete layer. 相似文献
4.
Evangelin Ramani Sujatha Thirukumaran V. 《Journal of the Geological Society of India》2018,91(4):489-495
Linear infrastructure networks like roads play a vital role in the socio-economic development of hill towns centered on tourism. Stability of the slopes along the hill roads are therefore a major concern and slope failures lead to disruption of traffic and loss of property/life or both. This study analyses the stability of cut-slopes along the Kodaikkanal – Palani hill road in the Western Ghats, India using rock mass classification systems like rock mass rating (RMR), slope mass rating (SMR) and continuous slope mass rating (CSMR). These geomechanical classifications provide a preliminary assessment of rock quality based on rock strength, discontinuity properties, hydrogeological condition of the slopes and slope stability based on the inherent rock strength parameters, discontinuity orientation and method of excavation. The results showed that both rock quality and discontinuity orientation contribute to type of failure in rock slopes with RMR > 40. SMR results are conservative while CSMR classification is matches more closely to the failures obtained from the field survey. CSMR classification represents continuous slope stability conditions and hence are more suitable for development of spatial database. Cutting of roads, thereby, steepening slopes has a definite influence on the stability of slopes. 相似文献
5.
Raoof Gholami Vamegh Rasouli Andisheh Alimoradi 《Rock Mechanics and Rock Engineering》2013,46(5):1199-1209
Rock mass classification systems such as rock mass rating (RMR) are very reliable means to provide information about the quality of rocks surrounding a structure as well as to propose suitable support systems for unstable regions. Many correlations have been proposed to relate measured quantities such as wave velocity to rock mass classification systems to limit the associated time and cost of conducting the sampling and mechanical tests conventionally used to calculate RMR values. However, these empirical correlations have been found to be unreliable, as they usually overestimate or underestimate the RMR value. The aim of this paper is to compare the results of RMR classification obtained from the use of empirical correlations versus machine-learning methodologies based on artificial intelligence algorithms. The proposed methods were verified based on two case studies located in northern Iran. Relevance vector regression (RVR) and support vector regression (SVR), as two robust machine-learning methodologies, were used to predict the RMR for tunnel host rocks. RMR values already obtained by sampling and site investigation at one tunnel were taken into account as the output of the artificial networks during training and testing phases. The results reveal that use of empirical correlations overestimates the predicted RMR values. RVR and SVR, however, showed more reliable results, and are therefore suggested for use in RMR classification for design purposes of rock structures. 相似文献
6.
某电站地下厂房围岩质量综合分级 总被引：7，自引：0，他引：7
在大量现场调查、统计资料基础上，利用国际上通用的RMR分类、Q系统分类及我国的水电围岩分类方案，对某电站地下厂房围岩进行了岩体质量分级。三种围岩分类结果具有良好的一致性，围岩质量较好。 相似文献
7.
传统的RMR法采用固定评估因素、固定评分方式进行岩体分级,其评分过程中存在着许多不确定性和主观性,在地质条件复杂的情况下岩体分级效果差.为了改变RMR法存在的不足,本文在参考RMR法的基础之上,提出了将AHP法应用于岩体分级的方案,给出了模型计算流程.将岩体分级看作一个多属性决策问题,根据实际情况可随机加入或减少影响岩... 相似文献
8.
This paper presents the engineering geological properties and support design of a planned diversion tunnel at the Boztepe dam site that contains units of basalt and tuffites. Empirical, theoretical and numerical approaches were used and compared in this study focusing on tunnel design safety. Rock masses at the site were characterized using three empirical methods, namely rock mass rating (RMR), rock mass quality (Q) and geological strength index (GSI). The RMR, Q and GSI ratings were determined by using field data and the mechanical properties of intact rock samples were evaluated in the laboratory. Support requirements were proposed accordingly in terms of different rock mass classification systems. The convergence–confinement method was used as the theoretical approach. Support systems were also analyzed using a commercial software based on the finite element method (FEM). The parameters calculated by empirical methods were used as input parameters for the FEM analysis. The results from the two methods were compared with each other. This comparison suggests that a more reliable and safe design could be achieved by using a combination of empirical, analytical and numerical approaches. 相似文献
9.
10.
Support capacity estimation of a diversion tunnel in weak rock 总被引：4，自引：0，他引：4
This paper presents the results of the support capacity estimation for the diversion tunnel of the Uru
dam site in highly weathered tuff and weak zone. Tunneling in weak rock requires some special considerations, since misjudgment in support design results in costly failures. There are several ways of estimating rock support pressure and selecting support. However, all systems suffer from their characteristic limitations in achieving objectives. Thus, it is more useful to use different methods for estimating support pressure and type of support. The support pressure pi was established by three different methods. These methods are the (1) empirical methods based on rock mass rating (RMR) and rock mass quality index (Q-classification systems), (2) ground support interaction analysis (GSIA) and (3) numerical methods, namely, Phase2 finite element (FEM) program. Rock masses were characterized in terms of RSR, RMR, Q-system and GSI. Drill-core samples were tested in the rock mechanics laboratory to determine physico-mechanical properties. Rock mass strength was estimated by empirical methods. Finally, the required support system is proposed and evaluated by different methods in the highly weathered tuff and weak zone of the diversion tunnel. 相似文献
11.
The joint frequency rating index accounts for 40% of the weight in the hundred-mark Rock Mass Rating 2014 (RMR14) classification system. However, owning to the natural variations of in-situ rock mass, this parameter is difficult for site engineers to obtain along the tunnel axis, especially in groundwater-rich conditions or prior to any disturbances made to rock mass. In this study, we propose an equivalent joint frequency, expressed quantitatively in terms of the ratio of the P-wave propagation velocity in the rock mass to that of the intact rocks, which is mainly based on engineering statistics easily obtained from the Chinese National Standard, GB/T 50218. We also explore a new rating method, based on field P-wave propagation velocity tests, for the joint frequency in the RMR14 classification system. Literature from in-situ databases is discussed to verify the applicability of the proposed rating method. The verifications demonstrate that, compared with the results of on-site parameters ratings as per the RMR classification system, the new rating method using P-wave propagation velocity can obtain a certain degree of accuracy. Hence, this enables the presentation of the primary state of integrity of an in-situ rock mass in accordance with the RMR14 classification system, through simple and non-destructive field P-wave velocity tests.
相似文献12.
Shen Yan-jun Yan Rui-xin Yang Geng-she Xu Guang-li Wang Shan-yong 《Geotechnical and Geological Engineering》2017,35(6):2523-2548
The basic quality (BQ) system is regarded as the national rock mass classification system that can be appropriate for use in most types of rock engineering in China. Two underlying parameters that the uniaxial compressive strength (UCS) and the rock intactness index (KV) are taken into account to access the basic BQ value. However, The KV was usually measured by an indirect acoustic wave approach which often cannot reflected the actual conditions. In this study, a direct measured parameter KGSI is recommended to obtain by means of the GSI system to replace the original KV, and a new method [BQ]GSI expressed by the new parameter KGSI is proposed. In particular, a graphic method is also presented to determine rapidly and rationally the rock mass classification by the X, Y coordinates of the UCS and the KGSI. In order to further compare the evaluation results and application effects between the [BQ]GSI and the international rock mass classification systems, a comprehensive solution is carried out. First, the evaluation factors of rock mass qualities from all these system are classified according to three groups: the rock mass inherent parameters, external parameters, and construction parameters. Second, the correlations among these evaluation factors in the new [BQ]GSI system and the common international systems (i.e. RMR, Q, and RMi) were compared. And the formulas or charts among the three groups are presented. Finally, five hydropower underground excavations are chosen to analysis the comparison results of the [BQ]GSI system and the international common RMR, Q, or RMi systems. The applicability scope of these international RMR, Q, or RMi systems is also discussed in the context of China’s rock characteristics and geological stress conditions. 相似文献
13.
G. Exadaktylos M. Stavropoulou G. Xiroudakis M. de Broissia H. Schwarz 《Rock Mechanics and Rock Engineering》2008,41(6):797-834
Summary Basic principles of the theory of rock cutting with rolling disc cutters are used to appropriately reduce tunnel boring machine
(TBM) logged data and compute the specific energy (SE) of rock cutting as a function of geometry of the cutterhead and operational
parameters. A computational code written in Fortran 77 is used to perform Kriging predictions in a regular or irregular grid in 1D, 2D or 3D space based on sampled data referring to rock mass classification
indices or TBM related parameters. This code is used here for three purposes, namely: (1) to filter raw data in order to establish
a good correlation between SE and rock mass rating (RMR) (or tunnelling quality index Q) along the chainage of the tunnel,
(2) to make prediction of RMR, Q or SE along the chainage of the tunnel from boreholes at the exploration phase and design
stage of the tunnel, and (3) to make predictions of SE and RMR or Q ahead of the tunnel’s face during excavation of the tunnel
based on SE estimations during excavation. The above tools are the basic constituents of an algorithm to continuously update
the geotechnical model of the rock mass based on logged TBM data. Several cases were considered to illustrate the proposed
methodology, namely: (a) data from a system of twin tunnels in Hong Kong, (b) data from three tunnels excavated in Northern
Italy, and (c) data from the section Singuerlin-Esglesias of the Metro L9 tunnel in Barcelona.
Correspondence: G. Exadaktylos, Department of Mineral Resources Engineering, Technical University of Crete, Chania, Greece 相似文献
14.
Abhishek Kumar Chaurasia H. K. Pandey H. C. Nainwal Jitendra Singh S. K. Tiwari 《Journal of the Geological Society of India》2017,89(6):689-696
The rock mass rating (RMR) and slope mass rating (SMR) has been carried out to classify the slope in terms of slope instability. To understand the RMR and SMR various geostructural, geomorphologic and hydrological parameters of the slopes were measured and analyzed. 32 rock slopes/rock cum debris slopes were identified in the study area. The present RMR and SMR study is an outcome of extensive field study along a stretch of about 10 km on road leading from Srinagar to Pauriarea along Alaknanda valley. The technique followed incorporates the relation between discontinuities and slope along with rock mass rating (RMR) and slope mass rating (SMR). The analysis of the 32 studied slopes shows that in the Gangadarshan area out of six rock slope facets, two falls in class II (stable) and four in class IV (unstable). It is significant to note that the slope facets coming under class IV are comprised of active landslide portions. While the slopes under class II show minor failure or old landslide debris. 相似文献
15.
针对目前水电站地下厂房工程中不同围岩分类方法存在评价结果不一致、围岩力学参数存在室内试验值与实际情况不吻合的现象,现推荐采用岩体精细化描述体系对围岩岩体结构进行定量化评价。将常用围岩分类方法(RMR、Q、RMi、GSI、BQ、HC)评价指标予以归纳分组,并通过各组内不同指标对比分析获得围岩分类方法中的基础评价指标。以大岗山水电站主厂房某区段为分析对象,采取现场岩体精细化地质素描与后期数据挖掘、拟合相结合方法,并依据评价指标间的关联关系,获得了基础、非基础评价指标的分布概型及对应参数,实现对该段围岩岩体精细化描述认知;基于精细化描述结果,应用Monte Carlo法生成符合各评价指标分布概型的大量随机数,而后参照各分类方法评价思路与评分流程,得到评价指标在各分类方法对应的大量随机评分值,通过归纳统计获得不同围岩分类方法评价结果的分布概型;基于各围岩分类方法评价结果与力学参数值之间的关联关系实现对力学参数概率特征分析。该分析方法与思路可为类似工程围岩质量及力学参数的精确确定提供一定借鉴,并可为实现围岩支护极限状态设计提供必要的原始参数支持。 相似文献
16.
ABSTRACT The local site experience is a valuable component for the success of rock mass classification systems as tunnel design methods. The Ituango hydroelectric project is a very important source of information in order to evaluate the usefulness of the main rock mass classification systems. The objective of this research is to improve understanding of some important features of excavated rock mass, such as discontinuities, block size, shear strength and joint alteration, by analyzing some hundreds of data obtained during excavation cycle. The field study included a survey of exposures after drilling and blasting rounds. Rock mass classification and support measures for each type of terrain along 1400 m tunnel were performed. The rock mass classes could be better explained if shear strength, alteration or block size is calculated. The assessment of these data allows evaluating the block fall risk, improving support and liner. A local correlation between the RMR and Q system was also obtained. 相似文献
17.
This paper discusses the results of the engineering geological and geotechnical investigations that have been carried out
at the Daroongar dam site. According to the geomorphology and geological conditions and economic reason, the dam has been
designed as an earth dam with a clay core. The dam foundation is composed of a sequence of sandy limestone and limy marl of
the Upper Cretaceous period. This study is based on field and laboratory investigations, surface discontinuity surveying,
drilled borehole data and permeability of dam foundation. The present studies include the evaluation of the dam foundation
by water pressure tests. The water pressure tests indicate the necessity to provide a grout curtain below the dam foundation.The
geology of the Daroongar dam foundation has a significant influence on the permeability and groutability characteristics.
The permeability of jointed rock masses is strongly depended on joint characteristics; degree of jointing, opening, continuity
and presence of filling materials. The laboratory tests included tests for unit weight, porosity, uniaxial, triaxial, tensile
strength and deformation parameters. The strength and modulus of elasticity of rock masses were determined using the Hoek–Brown
empirical strength criterion. The rock mass qualities and classifications of the dam site is assigned using the rock mass
rating (RMR), the rock quality (Q) and the geological strength index (GSI) classification systems. 相似文献
18.
Satish Kumar Kishor Kumar N. N. Dogra 《Journal of the Geological Society of India》2017,89(4):407-412
Rock slopes require geo-engineering evaluation to assess the instability of critical slopes leading to landslides particularly in Himalayan terrain where rocks are highly jointed, fractured and weathering prone. Interplay of discontinuities in the rocks coupled with other parameters is one of the prime causes of failure of slopes. Engineering rock mass classification, such as, rock mass rating (RMR) and slope mass rating (SMR) along with geological strength index (GSI) have widely been used for stability assessment of rock slopes above tunnel portals, and these classifications are employed here for assessment of stability of slopes of critical nature along Rampur-Powari highway in Himachal Pradesh. In the present study, out of 154 numbers of slopes, a total of 29 have been selected for assessment of their criticality by employing RMR, SMR and GSI. 相似文献
19.
大型地下洞室岩体质量受诸多因素影响,围岩分类相对复杂,综合运用几种围岩分类方法有利于准确确定围岩的综合类别。在试验资料和长期现场地质工作的基础上,利用RMR、Q、HC、BQ及RMi分类方法,对大岗山水电站代表性洞室主厂房围岩进行分类,并通过对分类结果的回归分析,得出Q值与RMR值、HC值,RMi值与HC值、RMi值与RMR值呈指数关系,相关系数依次为0.91、0.82、0.87、0.94; Q值与RMi值呈乘幂关系,RMR值与HC值呈线性关系,相关系数分别为0.90、0.85;[BQ]值与HC值、RMR值呈线性关系,而与Q值、RMi值分别呈指数、对数关系,相关系数依次为0.49、0.38、0.38、0.40。研究结果表明,RMR、Q、HC及RMi分类方法相关性好,可互相补充、验证,有效应用于工程实践中; BQ分类与另4种分类相关性较差,在该水电站及类似工程中适用性相对较小。 相似文献
20.
本文结合岩体CSIR和NGI分类体系,介绍了由岩体经验强度准则和岩体分类指标RMR和Q估算地基岩体强度参数和变形模量的方法,从而为快速、经济地进行岩基设计提供了重要途径。 相似文献