Innovation in Construction by Unknown

Innovation in Construction by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9783030957988
Publisher: Springer International Publishing


1 Introduction

Traditional design methodologies involve the development of geometric options and technical elemental design within a static environment. Whilst, in any given project, there are numerous variables which can be investigated; a full assessment of the potential benefits of differing combinations can be a time-consuming iterative process. Due to time, budget and resource constraints, the full breadth of solutions is rarely assessed, and the final solution is often identified using experience and design judgement. Whilst this tried and tested way of working delivers satisfactory options, potential optimal solutions may remain untested, leaving new and potentially innovative and more sustainable designs unconsidered. With the need to challenge building design to deliver better environmentally sustainable outcomes, historic methods of design will not allow rapid testing of new ideas. These historic methods, with individual elements, be they structural elements, façade components or MEP systems, being designed manually for the geometry which is under consideration, do not allow the full optimisation of key parameters (materials, geometric layout, embodied carbon, etc.), to enable designers to identify the best outcome for future buildings.

Parametric modelling and design allow a more dynamic approach to design to rapidly assess multiple options and push the selected design towards a chosen optimal outcome. Through the identification of variable parameters across the project, parametric software can be used to rapidly alter key variables to allow different solutions to be tested with relatively little effort and in a compressed timeframe. Each combination can easily be reviewed the impact on other parameters, and the key benefits and drawbacks of multiple options can be collaboratively discussed with design partners to identify the optimal solution.



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