Canadian Geotechnical Journal, Ahead of Print.
A generic rock mass database consisting of nine parameters is compiled from 225 studies. The nine parameters are the deformation modulus, elastic modulus, dynamic modulus, rock quality designation, rock mass rating, Q-system, geological strength index of a rock mass, as well as intact-rock Young’s modulus and intact-rock uniaxial compressive strength. This generic database, labeled as ROCKMass/9/5876, consists of 5876 rock mass cases. The goal of this paper is to examine how an existing transformation model such as deformation modulus versus rock mass rating can be made more unbiased and more precise for a specific site by combining sparse site data with ROCKMass/9/5876 in a manner sensitive to site-specific differences. The outcome is a quasi-site-specific transformation model. Four methods are studied to construct a quasi-site-specific transformation model for the deformation modulus of a rock mass: probabilistic multiple regression (current state of practice), hybridization method, hierarchical Bayesian model, and similarity method. The results from two case studies in Turkey show that the hierarchical Bayesian model is the most effective.

中文翻译：

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岩体变形模量准场址预测

加拿大岩土工程杂志，提前印刷。
由 9 个参数组成的通用岩体数据库是根据 225 项研究汇编而成的。这九个参数是变形模量、弹性模量、动力模量、岩石质量标志、岩体评级、Q-系统、岩体地质强度指数，以及完整岩石杨氏模量和完整岩石单轴抗压强度。这个通用数据库，标记为 ROCKMass/9/5876，包含 5876 个岩体案例。本文的目的是通过以对场地敏感的方式将稀疏场地数据与 ROCKMass/9/5876 相结合，研究如何使变形模量与岩体评级等现有变换模型对特定场地更无偏、更精确。 - 具体差异。结果是一个准站点特定的转换模型。研究了四种方法来构建岩体变形模量的准场地特定变换模型：概率多元回归（当前实践状态）、混合方法、分层贝叶斯模型和相似性方法。土耳其两个案例研究的结果表明，分层贝叶斯模型是最有效的。