A simulative framework to evaluate constructability through parameter optimization at early design stage

Construction process is becoming progressively more complex in terms of time and cost because of the increasing number of parameters to satisfy, whilst persist a lack of collaboration among design and construction actors. Construction phases strategies rarely influence choices made in design phase, and they considered consequently 4D and 5D analysis outcomes and not objectives of the whole design process. So, the aim of the research is to develop a methodology capable of providing designers a real-time simulation of optimised construction solutions. To reach this result, a combined algorithm of structural solution, construction difficulties and performance is developed. This collaborative procedure can check in real-time the feasibility of the design solution in structural and constructional terms. So, a framework of the Visual Programming linking among the different tools involved is presented, and finally an experiment on a real construction site is briefly analysed. the future works will improve the autonomy of the system by changing the input data collected by users with those elaborated from experiences through a machine learning approach.