Computational BIM

There are so many approach with BIM for construction, with the digital platform engaged for design and construction activities. 

One of the direction is Computational BIM, or Smart BIM with intelligent objects basing on visual programming with parametric attributes, automated process and data collection approach for predictive actions for operations & maintenance.

Some pointers for Computational BIM here:

How do you define computational BIM?

- An automated computational approach basing on scripting, Building Information Modelling (BIM) technologies for Virtual Design and Construction (VDC) processes. 

Why Computational BIM?

- To save time, cost and improve quality through iterations, analysis and collaborated approach in BIM and VDC.

How to do it?

- With numerous design iterations automated by the scripting and BIM software that facilitates the holistic and optimum design decisions and outputs.

What are the current main platform for computational BIM?

- Dynamo / Revit and Grasshopper / Rhino are the main platforms used in Singapore now.

 As according to Stanford University, the formula for VDC = (BIM + ICE +PPM) / Metrics

VDC (Virtual Design Construction) : the process for virtual construction that involves collaboration from all parties.

BIM (Building Information Modelling) : the digital technologies used to generate information, models and etc. analysis and collaboration.

ICE (Integrated Concurrent Engineering) here is referring the integrated concurrent decision making approach.

PPM (Production and Process Management) : the process looking into the time, cost and resources deployment for maximum value with minimum effort.

Metrics : the continuous quality control & monitoring system for constant improvement

Reference links: 

http://cife.stanford.edu/VDCProgram

http://au.autodesk.com/au-online/classes-on-demand/class-catalog/2014/revit-for-architects/ab6542#chapter=1