Is Complexity the Answer to the Continuum vs. Discontinuum Question in Rock Engineering?

Abstract The question for which rock masses discontinuum modeling must be used and which can be abstracted as a continuum concerned rock engineering for decades. This paper proposes that the answer to the continuum versus discontinuum question lies in the relative structural complexity of the rock mass and its discontinuities. Complexity in this case refers to discretely computed parameters that put a number on the perceived complexity of a rock mass and quantify its emergent properties. Parameters like the multiscale structural complexity, the Shannon entropy, the compression complexity or the Euler characteristic are implemented in a computational framework. It is shown that there are two scale-dependent low complexity end members: on the one hand, massive rock masses with very few discontinuities or very small rock samples, and on the other, rock masses with a very high discontinuity density approaching soil-like material or mountain-range scale samples. In between, however, lies a spectrum where rock mass complexity increases rapidly with increasing discontinuity density and then decreases again. Based on this observation, we assert that the discontinuum approach should be used for the majority of rock masses, but the continuum approach can be justified in cases of low complexity. Two case studies show how these theoretical insights support conceptual approaches in real rock engineering cases. The full code and data for the executed simulations are provided to facilitate further studies on this topic.

Authors

Institutions

Publication Details

Journal
Rock Mechanics and Rock Engineering
Published
2025-07-21
DOI
https://doi.org/10.1007/s00603-025-04777-1
Citations
2
Primary Topic
Drilling and Well Engineering
Type
article
Field-Weighted Citation Impact
2.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Is Complexity the Answer to the Continuum vs. Discontinuum Question in Rock Engineering?

Georg H. Erharter, Davide Elmo
2 citations
Rock Mechanics and Rock Engineering
Drilling and Well Engineering
2.29
article

Is Complexity the Answer to the Continuum vs. Discontinuum Question in Rock Engineering?

Georg H. Erharter, Davide Elmo
article en
2 citations

Abstract

Abstract The question for which rock masses discontinuum modeling must be used and which can be abstracted as a continuum concerned rock engineering for decades. This paper proposes that the answer to the continuum versus discontinuum question lies in the relative structural complexity of the rock mass and its discontinuities. Complexity in this case refers to discretely computed parameters that put a number on the perceived complexity of a rock mass and quantify its emergent properties. Parameters like the multiscale structural complexity, the Shannon entropy, the compression complexity or the Euler characteristic are implemented in a computational framework. It is shown that there are two scale-dependent low complexity end members: on the one hand, massive rock masses with very few discontinuities or very small rock samples, and on the other, rock masses with a very high discontinuity density approaching soil-like material or mountain-range scale samples. In between, however, lies a spectrum where rock mass complexity increases rapidly with increasing discontinuity density and then decreases again. Based on this observation, we assert that the discontinuum approach should be used for the majority of rock masses, but the continuum approach can be justified in cases of low complexity. Two case studies show how these theoretical insights support conceptual approaches in real rock engineering cases. The full code and data for the executed simulations are provided to facilitate further studies on this topic.

Rock Mechanics and Rock EngineeringVol. 58(11)
Norwegian Geotechnical Institute (NO), University of British Columbia (CA)
TU Graz, Internationale Beziehungen und Mobilitätsprogramme
Openalex Percentile: Top 12%
Drilling and Well Engineering
2.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.