How many holes need to be drilled to collapse a wooden cube?

February 18, 2016 by Lisa Zyga, feature

(Top) Experiment photos and (bottom) simulation images of cube drilling. For this cube, each face has 36 possible places where it can be drilled. However, the researchers found that the cube will fall apart after about 13 holes are randomly drilled in each of the three directions (x, y, and z axis), or 39 holes total. Credit: Schrenk, et al. ©2016 American Physical Society
(—It may sound like a simple riddle, but a team of scientists is intrigued with the answer because it could lead to a better understanding of percolation, the process that occurs when a liquid trickles through small holes in a filter. Percolation models have applications in unexpected areas, such as understanding cancer metastasis and in distributed computing.

The scenario involves a wooden cube with 6-cm sides made of medium-density fiberboard. Each of the six faces is marked with a 6 x 6-cm square lattice for a total of 36 square cells per face. Then round holes (of diameter equal to the length of a square cell) are drilled through random cells all the way through the cube. Holes continue to be randomly drilled until the structure breaks apart into separate pieces.

Through both experiments and simulations, the researchers found that the number of holes that needs to be drilled to collapse this particular cube is always around 13 holes in each of the three directions, or 39 holes total. Their formula shows that, although this critical number changes for different lattice sizes, the critical density of drills is very similar. (Also, the type of wood doesn't matter, since whatever wood is not drilled is considered intact.) But for the scientists, what's more important than a particular number is how the cube reaches its breaking point.

The researchers, a seven-member collaboration representing institutions in Switzerland, the UK, Brazil, the US, China, Portugal, and Germany, have published a paper on the fragmentation properties due to random drilling in a recent issue of Physical Review Letters.

As the number of drilled holes approaches the critical number, the researchers found that the cube begins to exhibit critical fragmentation properties. Surprisingly, the properties observed here turn out to differ greatly from those observed by researchers 30 years ago using similar models, but before modern simulation technology.

"We find that the statistical properties of drilling are different from the ones of classical percolation—we say in physics of critical phenomena that these two systems fall into different universality classes," coauthor Nuno Araújo, at the University of Lisbon in Portugal, told

Whereas the classical model suggests that random hole-drilling follows random percolation behavior, in the new study the researchers found that the behavior departs from random behavior as the cube approaches its critical breaking point. They found that the cube gradually transitions to this critical point, accompanied by a rich spectrum of critical phenomena. For percolation applications, this finding means that a liquid's transport properties change in a predictable way as the filter it passes through approaches its .

The results could have diverse applications, including helping researchers better understand how enzymes degrade the gel that surrounds and supports organs and tissues. The structural gel, also called the "extracellular matrix," is often modeled as a cube and the enzyme activity is modeled as random cutting. Understanding enzyme gel degradation is vital for understanding many biochemical processes, including tumor metastasis, since the enzyme "drilling" allows tumor cells to move to other organs.

Percolation models are also used to understand networks, in particular to detect communities within networks. The models apply to many different types of networks, from social networks to distributed computing networks, in which multiple computers communicate with one another to solve problems.

In the future, the researchers plan to investigate how drilling might affect the material's physical properties.

"Percolation is all about connectivity," Araújo said. "In this work we mainly focus on the evolution of the largest connected piece. Other properties that are still unexplored for drilling are the conductivity properties—for example, electric conductivity if the material is a conductor."

Explore further: What does turbulence have in common with an epidemic?

More information: K. J. Schrenk, et al. "Critical Fragmentation Properties of Random Drilling: How Many Holes Need to Be Drilled to Collapse a Wooden Cube?" Physical Review Letters. DOI: 10.1103/PhysRevLett.116.055701
Also at arXiv:1601.03534 [cond-mat.stat-mech]

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not rated yet Feb 18, 2016
I do not see how you need 39 holes, 13 on the x,y and z planes to do the job. 36 holes drilled on just one face should reduce the cube to long thin strips of wood. Am I missing the point here?
not rated yet Feb 18, 2016
Perhaps the article is poorly worded. Should it ask what is the maximum number of holes that can be drilled in a cube before it collapses?
3 / 5 (2) Feb 18, 2016
depends on the size of the hole ,no? ???? odd stuff
5 / 5 (4) Feb 18, 2016
@MR166 - the goal is not to see how few holes one can fragment the cube with (a line of 6 holes across one face would do that), nor to see how many (a checkerboard of 18 holes could be drilled in each face, for 54 holes, and still not collapse it) .

The goal is to see how many holes can be drilled at RANDOM locations before it collapses.

The number 'e' (2.71828...) arises very often in problems involving randomness, and with 36 holes per face, 36/e is ~13.24, so 13 holes per face makes sense.
5 / 5 (3) Feb 18, 2016
Thanks RS
5 / 5 (1) Feb 18, 2016
One really big one with r = L
1 / 5 (1) Feb 19, 2016
The doctrine of randomness is junk science: Beethoven and Riemann: Polemicists against Chaos Theory http://thingumbob...sts.html
5 / 5 (1) Feb 19, 2016
The number 'e' (2.71828...) arises very often in problems involving randomness

That's probably because of scale invariance of the phenomenon when dealing with a random distribution. "e" is a curious number because it can be used in an exponential function that is its own derivate and integral, so you get the same function whether you're looking at the accumulation or the rate of it.

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