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The Schmidt hammer (SH) is widely used in geomorphology for relative- and calibrated-exposure age dating surfaces and deposits within landforms. This study employs a laboratory-based methodology to assess the effects of surface roughness, clast roundness, and clast volume on SH rebound values (R-values) by analyzing samples from three modern depositional environments (i.e. river, alluvial fan, talus). Each environment contains clasts of Torlesse supergroup greywacke sandstones with distinct roundness and micro-scale roughness characteristics. Roundness, surface roughness, and clast volume were all found to influence R-values significantly. The R-values from different deposit types are statistically significant and could potentially create an apparent age divergence of several thousand years for samples with the same exposure-age. © 2020 John Wiley & Sons, Ltd. 相似文献
103.
This study presented the specified steps of comprehensively analyzing the hydraulic-driven hammer system with the application of the Virtual Prototype Technology. By comparing the simulation results with experimental phenomena and data, the correctness of simulation analysis conclusion is verified. Meanwhile, by means of its perfect visualization, the internal work process which can not be seen before is simulated. The mechanism of some abnormal phenomena encountered during the experiment is explained. 相似文献
104.
传统钻井工艺与空气潜孔锤钻进综合技术在西南缺水地区水井钻探中的应用 总被引：2，自引：0，他引：2
分析传统钻井工艺、空气潜孔锤钻进工艺原理并相互对比,结合本单位2010年抗旱找水打井不断摸索和实践证明:根据不同地层的工程地质特征,采用两种工艺综合运用技术,在西南缺水地区能有效提高成井速度和质量。 相似文献
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空气反循环钻进工艺具有钻进速度快、施工环保等特点,是地质勘探取样又一重要方法手段。通过浅层取样生产试验,探讨了施工设备材料、钻进参数的选择依据,指出了施工中应重点把握的技术措施,列举了施工中常见的问题,研究提出了解决办法,总结了工艺特点等。 相似文献
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Air down-the-hole(DTH)hammer drilling has long been recognized to have the potential of drilling faster than conventional rotary drill,especially in some hard rocks such as granite,sandstone,limestone,dolomite,etc.with the same weight on bit(WOB)and rotations per minute(RPM).So,it has been widely used in many drilling fields including mineral resource exploration drilling,oil and gas drilling and geothermal drilling.In order to reduce drilling cost by selecting optimal drilling parameters,rate of penetration(ROP)should be estimated accurately and the effects of different factors on ROP should be analyzed.In this research,ANN model with several multi-layer perception back propagation(BP)networks for predicting ROP of air DTH hammer drilling was developed using controllable parameters such as impact energy,impact frequency,WOB,RPM and bit operating time for the formations with a certain drillability index of rock.Several BP neural networks with the different neurons in hidden layers were developed and compared for selecting optimal architecture of ANN.The effects of the drilling parameters such as impact energy,impacting frequency,WOB,RPM and bit operating time on the ROP of air DTH hammer drilling were investigated by trained ANN.From the analyses,the optimum range of drilling parameters for providing high ROP were determined and analyzed for a formation with a certain drillability index of rock.The methodology proposed in this study can be used in many mathematical problems for optimization of drilling process with air DTH hammer. 相似文献
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