铁道标准设计
鐵道標準設計
철도표준설계
RAILWAY STANDARD DESIGN
2015年
7期
36-39,127
,共5页
地震活动性参数b值%地应力评估方法%川藏交通廊道%铁路选线设计
地震活動性參數b值%地應力評估方法%川藏交通廊道%鐵路選線設計
지진활동성삼수b치%지응력평고방법%천장교통랑도%철로선선설계
Seismic activity parameter b-value%Evaluation method of crustal stress%Sichuan-Tibet moraine transportation corridor%Railway route design
在铁路选线的可行性研究阶段,当线路方案尚未确定时,不宜通过大规模的钻探查明地应力数值,而希望借鉴现有资料或经验公式对地应力状况有所把握。国内外已有研究表明,在反映地震震级与发生频率的幂律关系中,幂指数b值与地应力水平具有反相关关系,据此提出增加参数b,对水平主应力随埋深分布规律统计回归方程进行修正的方法。以川藏交通廊道地应力分析为例,绘制地震活动性参数b值的空间分布云图；基于研究区已有地应力实测数据,以埋深H和b值作为自变量,拟合得到地应力量值的评估模型,经检验,与目前仅采用埋深作为自变量的方法相比,评估精度明显提高。
在鐵路選線的可行性研究階段,噹線路方案尚未確定時,不宜通過大規模的鑽探查明地應力數值,而希望藉鑒現有資料或經驗公式對地應力狀況有所把握。國內外已有研究錶明,在反映地震震級與髮生頻率的冪律關繫中,冪指數b值與地應力水平具有反相關關繫,據此提齣增加參數b,對水平主應力隨埋深分佈規律統計迴歸方程進行脩正的方法。以川藏交通廊道地應力分析為例,繪製地震活動性參數b值的空間分佈雲圖；基于研究區已有地應力實測數據,以埋深H和b值作為自變量,擬閤得到地應力量值的評估模型,經檢驗,與目前僅採用埋深作為自變量的方法相比,評估精度明顯提高。
재철로선선적가행성연구계단,당선로방안상미학정시,불의통과대규모적찬탐사명지응력수치,이희망차감현유자료혹경험공식대지응력상황유소파악。국내외이유연구표명,재반영지진진급여발생빈솔적멱률관계중,멱지수b치여지응력수평구유반상관관계,거차제출증가삼수b,대수평주응력수매심분포규률통계회귀방정진행수정적방법。이천장교통랑도지응력분석위례,회제지진활동성삼수b치적공간분포운도；기우연구구이유지응력실측수거,이매심H화b치작위자변량,의합득도지응역량치적평고모형,경검험,여목전부채용매심작위자변량적방법상비,평고정도명현제고。
During the feasibility study of railway route selection, it is inadvisable to conduct large-scale on-site drilling to investigate crustal stress while the route is not determined and it is helpful to rely on existing data or empirical formula to understand the crustal stress situation. Researches have shown the inverse relationship between power exponent b-value and crustal stress. Thus, a correction method of adding b-value to the maximum horizontal principal stress varying with the depth formula is proposed. In view of the earth stress analysis in Sichuan-Tibet moraine transportation corridor, the seismic activity parameter b-value’s spatial distribution nephogram is drawn out. Based on the existing measured stress data, and b-value and depth H-value as independent variables, an evaluation model of crustal stress is developed. Compared with the current method which uses the depth as the only independent variable, the evaluation precision of the model is much higher.
