The blow count (N) measured from the standard penetration test is widely used to predict the shear wave velocity (V_s) of soils. As the N - V_s relationships vary from one region to another, the N - V_s relationship in a region is often determined based on the regional data. When there is no region-specific data or when the region-specific data is limited, such methods can hardly be applicable. In this study, a hierarchical Bayesian model based method is suggested to develop region-specific N - V_s relationships which is applicable to regions without region-specific data and regions with limited region-specific data. The validity of the suggested method is verified using new data that has not been used for model calibration. It is found that the suggested method can be used to predict V_s for a region with no region-specific data, but the uncertainty associated with V_s could be large. On the other hand, a few region-specific data can significantly reduce the uncertainty associated with V_s. When the amount of region-specific data is small, the N - V_s relationship developed based on the method suggested in this paper is more reliable than the N - V_s relationships developed based on two alternative methods. When the amount of region-specific data is large, a comparison between the N - V_s relationship established by the suggested method and that developed based on regression analyses of the regional data may help identify the risk that the region-specific data may not be representative.

由标准渗透试验测得的冲击数（N）被广泛用于预测土壤的剪切波速度（V _s）。作为Ñ - V_小号关系变化从一个区域到另一个区域时，Ñ - V_小号的区域关系通常的基础上确定的区域的数据。当不存在特定于区域的数据时或当特定于区域的数据受到限制时，此类方法将几乎不适用。在这项研究中，提出了一种基于分层贝叶斯模型的方法来开发特定于区域的N - V _s适用于没有特定区域数据的区域和有限特定区域数据的区域的关系。使用尚未用于模型校准的新数据验证了所建议方法的有效性。已经发现，所建议的方法可以用于没有区域特定数据的区域的V _s预测，但是与V _s相关的不确定性可能很大。另一方面，一些特定于区域的数据可以显着降低与V _s相关的不确定性。当特定于区域的数据量较小时，N - V _s关系的基础上研制本文提出的方法比更可靠Ñ - V_小号关系的基础上研制两种可供选择的方法。当特定于区域的数据量很大时，通过建议的方法建立的N - V _s关系与基于区域数据的回归分析得出的N - V _s关系之间的比较可能有助于确定可能不会存在特定于区域的数据的风​​险。代表。