New Data about the structure of the Pyramid of Cheops

Researchers from TUM and Cairo University made interesting measurements in the P

Researchers from TUM and Cairo University made interesting measurements in the Pyramid of Khufu - they want to contribute to the structural elucidation of the over 4500 year old structure. Image: Christian Große / TUM

An interview with Prof. Christian Große about his pyramid research

Measuring a height of 139 meters (455 ft.), the largest of the three pyramids of Giza is one of the oldest edifices in the world. Yet, even after 4,500 years, this architectural masterpiece still leaves some questions unanswered. Christian Grosse, Professor for Non-destructive Testing at Technical University of Munich (TUM) has performed fascinating measurements at the Pyramid of Cheops in coordination with Cairo University. In this interview, he presents his experiences.

Our measurements were part of the ScanPyramid Project , in the course of which muon anomalies were detected, in other words, density deviations in the construction. These anomalies were made visible using detection devices. Changes in density within a structure can be an indicator for hidden structures. Regardless of that, our measurements are also meant to provide a better understanding of the construction history of the Great Pyramid of Giza as well as its internal composition. When we did our research trip, our goal was to use modern devices to find out how ancient Egyptians built pyramids. Which volumes do the building blocks have? What are the dimensions between the single block joints?

First, we performed numerical simulations based on all the data we had about the pyramid, so geometric and material data. Based on the results, we chose the best possible non-destructive testing procedures to be used in this instance. We figured out where to place sensors and how to set up suitable parameters for the measurements - such as frequencies and wavelengths - in order to be able to analyze the most interesting sections in an optimal yet non-destructive way.

After these preliminary considerations, we chose our measurement methods. In addition to three different radar methods, we also chose a special array-based ultrasound technology as well as electrical resistivity tomography. All these methods generate complementary datasets that can be compared to one another in the context of data fusion. This approach of using various measurement techniques in parallel based on simulations had never been tested before in the pyramid.

In order to make the measurement profiles comparable, we had to calibrate our measurement points using geodetic datums. In order to do this, you need reliable models; after all, most of our measurement points were inside the pyramid, not outside. We received some highly valuable support from our Egyptian colleagues lead by Prof. Hany Helal from Cairo University. They had geodesic measurement teams who calibrated all these measurements points. Furthermore, we had extensive literature including images from the inside of the pyramid at our disposal. We entered our measurement profiles in those existing schematics.

The one thing that turned out to be a bit difficult, however, was that we were not allowed to leave any markings on the structure, meaning the walls; usually that is something we do in construction. But we had tested techniques here in Germany for performing calibration without markings or direct contact on comparable objects using cross-line lasers. This approach worked quite well for us. This cross-line laser technology is used to project laser lines onto an object. This works notably well in dark environments and that is what we have inside a pyramid.

We performed measurements in the three main chambers of the pyramid: the Lower Chamber located in the bedrock underneath the pyramid, the Queen’s Chamber built into the core masonry a bit higher up, and in the King’s Chamber that is open to the public and contains King Cheops’ sarcophagus in which the king is said to have been entombed. We also did measurements in the very long and only one-meter (3 ft.) high shaft system as well as in the entrance area of the pyramid.

Naturally, we focused our measurements on hidden sections in the pyramid, but also measured well-known parts in order to validate our measurements. It is essential to create confidence in the measurement technique you are using. The methods are complementary regarding the parameters of penetration depth and resolution. Every device offers a certain penetration depth and therefore the various devices allow us to "look into" the structure of existing rooms and shafts at varying depths. Our techniques "scan" the structure. As part of this scan, the devices are moved along a straight line while performing continuous measurements - this is comparable to seismic measurements.

My Ph.D. students actually built the trolley we used for moving the radar equipment through the narrow shafts. In many cases, a project like this requires unconventional approaches. One measuring device broke down in Egypt, but luckily, my colleagues are able to repair these things on location. The research environment truly is not ideal for the kind of measuring devices we use. Everything is narrow and covered in desert dust. You need to use highly robust technology and still things break down from time to time - so you need a lot of talent for improvisation. My colleagues really invested a lot of effort into this project but we also received plenty of support from our Egyptian partners.

We have recorded data in outstanding quality and I am positive that we can provide a range of new information. But first, the data needs to be evaluated in cooperation with out Egyptian colleagues.

In particular, our department cannot perform the interpretation of the data alone. For this, we need interdisciplinary expertise from the areas Archeology and Egyptology, as well as sensor technology and data analysis. Furthermore, we plan to make use of new evaluation technologies from the fields of data fusion and machine learning, in order to improve our ability to identify structural components. Therefore, it will take some time until we are ready to publish results - and perhaps we get another opportunity to perform further measurements.


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