DOI: 10.14704/nq.2018.16.6.1546

Neural Net Prediction Analysis for Rock Mass Elastic Modulus Based on Joint Fissure Characteristics

Yushu Li, Yuyang Yuan

Abstract


Elastic modulus of rock mass is an important mechanics index in critical project. Due to the influence joint fissure characteristics, it can only be get from complicated in situ test or from indirect empirical formula. Basing on qualitative and quantitative data got from in situ investigation, utilizing the neural net’s ability of fault tolerance, adaptivity and self-learning, here gives a full set of technological process for rock mass elastic modulus prediction, which can cover the shortages of in situ test and empirical formula method.

Keywords


Joint Fissure Characteristic, Rock Mass Elastic Modulus, Neural Net, Slope

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