The Revit Structure building information model combines a physical representation of the
building fully associated with an analytical representation. This common, computable
building model is used for structural design, drawing production, and coordination – and
drives third-party structural analysis applications.
Computable Building Model
Digital data is not necessarily computable data – a distinction that at first glance may
seem insignificant but in actuality wreaks havoc for the user of the data. For example, a
word processor can be used to create rows and columns of financial data, but most of the
numeric calculations and modifications must be done manually. The data is digital, but not
very useful.
In contrast, a spreadsheet version of the same financial data might look identical to the
word processor version, but the spreadsheet model contains numerical values,
relationships, and sophisticated calculations. When a number changes, the rest of the
spreadsheet updates automatically. The spreadsheet model is computable whereas the
word processor representation is not, even though both are digital.
The building industry, for the most part, has adopted the word processor approach to
documenting building designs over the past 20 years. CAD tools are primarily used to
create electronic drawings of buildings. Even some 3D models are little more than 3D
drawings. Although the output of these systems may resemble the output of a BIM
solution – just as the financial table in the word processor looks the same as the
spreadsheet table – it is not computable information.
It's quite common to try to use this incomputable building design data for analysis and find
that the data, although seemingly computable, is actually an empty shell – a collection of
graphic elements with no implicit knowledge of building elements such as walls, beams or
ducts. For the most part, humans look at the data, interpret it, and transfer it to new
applications for additional analysis.
Architects make occasional use of analysis packages, lighting studies, or baseline energy
calculations, for example, which are typically outsourced to specialized engineering firms.
Whereas the structural engineer is heavily dependent on analysis, which is an integral
part of the structural design process. As a result, a computable building model is a key
ingredient for efficient structural design processes.