岩土力学
巖土力學
암토역학
ROCK AND SOIL MECHANICS
2014年
2期
565-572
,共8页
申艳军%徐光黎%杨更社%叶万军
申豔軍%徐光黎%楊更社%葉萬軍
신염군%서광려%양경사%협만군
岩体精细化描述%围岩分类%力学参数%Monte Carlo法%概率分布特征
巖體精細化描述%圍巖分類%力學參數%Monte Carlo法%概率分佈特徵
암체정세화묘술%위암분류%역학삼수%Monte Carlo법%개솔분포특정
rock mass fine description system%rock mass classification%mechanical parameters%Monte Carlo simulation%probabilistical distribution characteristics
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。
針對目前水電站地下廠房工程中不同圍巖分類方法存在評價結果不一緻、圍巖力學參數存在室內試驗值與實際情況不吻閤的現象,現推薦採用巖體精細化描述體繫對圍巖巖體結構進行定量化評價。將常用圍巖分類方法(RMR、Q、RMi、GSI、BQ、HC)評價指標予以歸納分組,併通過各組內不同指標對比分析穫得圍巖分類方法中的基礎評價指標。以大崗山水電站主廠房某區段為分析對象,採取現場巖體精細化地質素描與後期數據挖掘、擬閤相結閤方法,併依據評價指標間的關聯關繫,穫得瞭基礎、非基礎評價指標的分佈概型及對應參數,實現對該段圍巖巖體精細化描述認知;基于精細化描述結果,應用Monte Carlo法生成符閤各評價指標分佈概型的大量隨機數,而後參照各分類方法評價思路與評分流程,得到評價指標在各分類方法對應的大量隨機評分值,通過歸納統計穫得不同圍巖分類方法評價結果的分佈概型;基于各圍巖分類方法評價結果與力學參數值之間的關聯關繫實現對力學參數概率特徵分析。該分析方法與思路可為類似工程圍巖質量及力學參數的精確確定提供一定藉鑒,併可為實現圍巖支護極限狀態設計提供必要的原始參數支持。
침대목전수전참지하엄방공정중불동위암분류방법존재평개결과불일치、위암역학삼수존재실내시험치여실제정황불문합적현상,현추천채용암체정세화묘술체계대위암암체결구진행정양화평개。장상용위암분류방법(RMR、Q、RMi、GSI、BQ、HC)평개지표여이귀납분조,병통과각조내불동지표대비분석획득위암분류방법중적기출평개지표。이대강산수전참주엄방모구단위분석대상,채취현장암체정세화지질소묘여후기수거알굴、의합상결합방법,병의거평개지표간적관련관계,획득료기출、비기출평개지표적분포개형급대응삼수,실현대해단위암암체정세화묘술인지;기우정세화묘술결과,응용Monte Carlo법생성부합각평개지표분포개형적대량수궤수,이후삼조각분류방법평개사로여평분류정,득도평개지표재각분류방법대응적대량수궤평분치,통과귀납통계획득불동위암분류방법평개결과적분포개형;기우각위암분류방법평개결과여역학삼수치지간적관련관계실현대역학삼수개솔특정분석。해분석방법여사로가위유사공정위암질량급역학삼수적정학학정제공일정차감,병가위실현위암지호겁한상태설계제공필요적원시삼수지지。
According to the drawbacks that the evaluation results by different rock mass classification systems are not consistent and the rock mass mechanical parameters between indoor tests and current situation have a great gap, a method named rock mass fine description system is recommended to describe surrounding rock mass structures quantitatively. Firstly, these evaluation indexes of the common rock mass classification systems(RMR、Q、RMi、GSI、BQ、HC) are summarized as some groups, and basic indexes are selected from these groups by the in-detail comparative analysis. Then, some sections of powerhouse in Danggangshan hydropower station are chosen as the research objects;we use the method combining the in-situ rock mass fine geological sketches with post-data mining and fitting, and based on the association relationship between the ranking parameters and the basic ones, these probabilistical distribution models and their relevant parameters of evaluation indexes are able to be required; thus the surrounding rock mass elaborate descriptions of the section can be obtained. Based on the rock mass fine description, lots of random numbers that meeting the probabilistical distribution models and relevant parameters of these evaluation indexes can be produced by the Monte Carlo simulation; and then according to the evaluation idea and rating process of each rock mass classification system, plenty of corresponding random rating-values of these evaluation indexes are also gained;the surrounding rock mass evaluation results and these probabilistical distribution characteristics by six rock mass classification systems can be attained easily by the inductive statistics. At last, these probabilistical distribution characteristics and their relevant parameters of these rock mass mechanical parameters can be decided by the correlation formulas between them and the rock mass classification indexes. This research can provide some references to estimate accurately the rock mass classification and mechanical parameters in some similar projects, and offer the essential primary data for supporting limit state design to the surrounding rock mass.