Karen joined Itasca Australia in 2017, and with a background in marketing and process improvement, she provides administration support to the team and manages software sales for the region.
Mr Lachenicht has 25 years’ experience in mining geomechanics ranging from consulting, research projects, studies to mine operational experience. Over the course of his experience, positions held include manager, senior geotechnical engineer, geotechnical superintendent and principal geotechnical engineer roles with associated levels of responsibility.
AUTHORS: Xin Wang and Ming Cai
ABSTRACT: Based on the concept of the representative elementary volume (REV) and the synthetic rock mass (SRM) modeling technique, a DFN–DEM multi-scale modeling approach is proposed for modeling excavation responses in jointed rock masses. Discrete fracture networks (DFNs) are generated using MoFrac. For a given volume of jointed rock masses, multi-scale DFN models are constructed according to the hierarchical order of fracture size. Based on the DFN models of various scales, equivalent rock mass properties are obtained using 3DEC SRM models. A tunnel excavation simulation using data from the Äspö TAS08 tunnel is conducted to demonstrate the applicability of the proposed multi-scale modeling approach. The modeling results show that it is efficient to model the mechanical response of the rock mass using the proposed approach. The proposed approach has the advantages of both equivalent continuum and discontinuum methods, with a higher degree of accuracy compared with the pure continuum approach and a less computational effort compared with the pure discontinuum approach.
KEYWORDS: Multi-scale approach, Jointed rock mass, Discrete fracture network modeling, Synthetic rock mass, Representative elementary volume, Äspö TAS08 tunnel
CITATION: Wang, X., Cai, M. A DFN–DEM Multi-scale Modeling Approach for Simulating Tunnel Excavation Response in Jointed Rock Masses. Rock Mech Rock Eng 53, 1053–1077 (2020). https://doi.org/10.1007/s00603-019-01957-8
This policy applies to the site www.itasca.com.au (hereinafter the "Site").
A cookie is a small text file in alphanumeric format deposited on the
hard disk of the user by the server of the Site visited or by a third
party server (advertising network, web analytics service, etc.). When
you log on to our Site, we may install various cookies on your device.
The cookies we issue are:
In accordance with the regulations, cookies are kept for 13 months.
By browsing our site, you can click on the "social networks" buttons to consult our LinkedIn profile and our YouTube page. By clicking on the icon corresponding to the social network, the latter is likely to identify you. If you are connected to the social network during your navigation on
our Site, the sharing buttons allow you to link the contents consulted
to your user account. Google, through Google Analytics, places cookies and tracks the site's audience. We can not control the process used by third-party applications to collect information about your browsing on our Site. We
invite you to consult their policy of protection of personal data to
know their purpose of use and the navigation information they can
When you visit our Site for the first time, a cookies banner
will appear indicating the purposes of the cookies. Please note that
further navigation on the Site is equivalent to giving your consent to
time to adapt the management of cookies according to your preferences,
disable them or express a different choice via the means described
access to a number of features necessary to navigate certain areas of
For the management of cookies and your choices, each browser offers a different configuration.
For Internet Explorer 8:
For Internet Explorer 10 and 11:
According to the GDPR, you have the right to access, rectify, oppose,
delete and limit information from cookies and other tracers. You also
have the right to withdraw your consent. For this, please contact [email protected].