UnBlocksgen: A Python library for 3D rock mass generation and analysis | Zendy

Leandro Lima Rasmussen | Zendy

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UnBlocksgen: A Python library for 3D rock mass generation and analysis

Author(s) -

Leandro Lima Rasmussen

Publication year - 2020

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2020.100577

Subject(s) - python (programming language) , computer science , algorithm , block (permutation group theory) , excavation , artificial intelligence , computer graphics (images) , geometry , geology , programming language , mathematics , geotechnical engineering

In this paper, a Python library named U n B l o c k s g e n is presented for the generation and analysis of 3D rock block systems. The library provides the tools for the construction of Discrete Fracture Networks; the generation of rock blocks based on the constructed DFN; and the analysis of blocks’ geometrical characteristics, such as shape and size. An illustrative example is presented based on the Brazilian Monte Seco tunnel. It shows the library capabilities in dealing with complex Discrete Fracture Networks as well as performing excavation through a selected region of the block system. The library shall be valuable to research that attempts to understand the relations between rock masses’ geometrical characteristics and behavior during engineering works.

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