What Next?

A more complete explanation for biological structure


Icosahedron tensegrity scarr

The biotensegrity concept is different to what has gone before because it is based on the rules of physics first and from which everything else is derived, and thus represents a paradigm shift in the way that we think about the human body, and every organism.

Tensegrity models are physical representations of the invisible forces that hold them together, and the same applies to the whole of biology, where we refer to these forces as ‘attraction and repulsion’ and ‘tension and compression’. So, we cannot literally see the tensegrity-icosahedron within the body because it is simply a diagram of those invisible forces and the same principles apply to anatomical structure:

Geodesic geometry – where these forces always act over the shortest distance and in straight lines (but also give rise to complex curvature at higher size-scales);

The efficient close-packing of multiple components into the smallest amount of space where each part is nested within (and dependent on) all those surrounding it;

Minimal-energy – where everything happens in the simplest and most efficient way possible;

Heterarchical organization at multiple size-scales where each part has an influence on all the others surrounding it;

Closed kinematic chain mechanics;

or in other words: EFFICIENCY

Our understanding of the biotensegrity concept and its relevance to our understanding living organisms continues to develop as we explore new avenues relating to the newly-emerging fields of soft-matter, which recognizes that biological materials are not ‘solids’ and ‘liquids’, in the traditional sense, but display characteristics of both – polymers, colloids, emulsions, surfactants, foams and liquid crystals etc – or can shift between one and the other.

The coupling of structural anatomy with the haptic perceptionTurvey, Cabe, Doyon system is now being examined through the lens of biotensegrity because both appreciate the invariant scale-free organization that is necessary to unable them to operate as they do.

There is also an ongoing project to formalize the math that underpins biotensegrity, and which includes super-stability, static and kinematic indeterminacies etc. The following summarizes latest thinking on this particular aspect:

Biotensegrity is a very specific and informative term, which has a strong position embedded into it. ‘Tensegrity’ is a precise mathematical/architectural/mechanical concept that implies dichotomy. It is either a tensegrity or not. It is a commitment to a specific interpretation of force resolutions within the system under mechanical loads – pointing out that it has super stability via internal self-stress that makes it kinematically indeterminate. In other words, the forces resolve through the system in a distributed spreading manner via tensional members first (with compression members serving as tension multipliers). It implies tensional logic behind the internal mapping of the force distribution/resolution within the system. Thus the statement of ‘biotensegrity’ carries maximum information in it – it is a ‘meat cleaver of reality’ – where one cannot be on both sides at the same time. The opposite of ‘tensegrity’ is a system with compression logic, where the compression members play the primary role of defining the internal resolution of forces (and tension members ‘assist’ the compression members) – which is the central assumption behind standard biomechanics, kinesiology and functional anatomy.” Leonid Blyum (Facebook, February 2020).

So, while the geodesic geometries of the platonic solids and tensegrity models are sometimes dismissed as being too simple an explanation of complex biological structure, let alone have relevance to biomechanics or any practical application, the above summarizes some of the advantages of the biotensegrity concept and its model demonstrations; and all these pages are elaborating on this. The biotensegrity concept describes an energy-efficient structural system that replaces the outdated biomechanical model from hundreds of years ago and enables complex biological organisms to be understood in terms of first principles.