首页> 外文期刊>Journal of structural geology >Superposed deformation fabrics in the Precambrian metabasic rocks of the Iron Ore Group, Singhbhum craton, Eastern India: Evidences from anisotropy of magnetic susceptibility studies
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Superposed deformation fabrics in the Precambrian metabasic rocks of the Iron Ore Group, Singhbhum craton, Eastern India: Evidences from anisotropy of magnetic susceptibility studies

机译:印度东部Singhbhum克拉通铁矿组前寒武纪准生代岩石中的叠加形变构造:磁化率各向异性研究的证据

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摘要

Anisotropy of magnetic susceptibility (AMS) data have been utilized to build up the multiple deformation sequences and strain variation from an apparently undeformed metabasic lava sequence of the basal part of the Paleo-Mesoarchean greenstone succession of the Iron Ore Group rocks in the western Iron Ore basin, Singhbhum craton, eastern India. The basal lava crops out bordering the regional horseshoe shaped outcrop (the horseshoe synclinorium structure) of the overlying B1F rocks. AMS data of 892 cylindrical specimens drilled from 83 samples collected from different structural domains within the synclinorium structure are presented in the analysis. AMS orientation data have been analyzed in the light of superposed fold (Type-1 interference) fabrics developed within BIF as a result of successive deformation episodes (D_1 and D_2). It is found that the lava samples ubiquitously present two consistent magnetic fabrics homogeneous over smaller sub-areas, which have been successfully correlated with the D_1 and D_2 deformation fabrics from the BIF rocks. Moreover, a regional scale variation in intensity and nature of strain is noticed from the AMS data, which have been utilized to decipher folding mechanism as well as the changing deformation pattern during successive folding events.
机译:磁化率(AMS)数据的各向异性已被用来建立西部铁矿石群岩石的古-中上古统绿岩序列基部的一个明显未变形的变质熔岩序列的多个变形序列和应变变化盆地,印度东部的Singhbhum克拉通。基底熔岩与上层B1F岩石的区域马蹄形露头(马蹄形斜斜构造)接壤。分析中显示了从共轭层结构内不同结构域收集的83个样品中钻取的892个圆柱样品的AMS数据。根据连续变形事件(D_1和D_2)在BIF内形成的叠合折叠(Type-1干涉)织物,对AMS定向数据进行了分析。发现熔岩样品在较小的子区域普遍存在两种均匀的磁性织物,这些磁性织物已与BIF岩石的D_1和D_2变形织物成功相关。此外,从AMS数据中可以看到强度和应变性质的区域尺度变化,这些变化已被用于破译折叠机制以及在连续折叠事件中变形模式的变化。

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