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Towards a decision-support tool for selecting an appropriate structural frame

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conference contribution
posted on 22.12.2014, 12:21 authored by Robby SoetantoRobby Soetanto, Andrew Dainty, Jacqui Glass, Andrew Price
The selection of the appropriate structural frame for a building during the conceptual design stage is crucial to the overall performance and value delivered to clients. Although several attempts have been made to develop IT-based decision support tools to select the structural frame, these have failed to recognise the importance of ‘soft’ performance criteria, primarily because of the complexity inherent in the selection process. In reality, structural frame selection is usually based upon heuristic decision-making dominated by subjectivity and qualitative reasoning. Following a thorough review of literature in the building performance domain, a tool that incorporates both ‘soft’ and ‘hard’ performance metrics for selecting appropriate structural frame was developed. The tool requires a systematic evaluation of the importance of each criterion and the likely performance achieved using various structural frame options. A worked example is provided to demonstrate how a project team can use this tool. This tool essentially helps to make explicit the most important issues to be considered during the selection process, which should demonstrably lead to improved performance and added value for clients.

History

School

  • Architecture, Building and Civil Engineering

Published in

Proceedings of the First SCRI International Symposium

Pages

450 - 459

Citation

SOETANTO, R. ... et al, 2004. Towards a decision-support tool for selecting an appropriate structural frame. IN: Aouad, G. ... et al (eds). Proceedings of the First SCRI International Symposium, University of Salford, 30th-31st March 2004, pp.450-459.

Publisher

University of Salford

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2004

Notes

This is a conference paper.

Language

en

Location

University of Salford