A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages

S. Eleftheriadis; C. F. Dunant; M. P. Drewniok; W. Rogers-Tizard

A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages

S. Eleftheriadis, C. F. Dunant, M. P. Drewniok, W. Rogers-Tizard

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

4 Citations (SciVal)

Abstract

The study explores a practical engineering paradigm that aims to augment the cost and carbon analysis of steel building structures. Cost and carbon functions were developed specifically for this purpose including raw material, fabrication, design, fire protection, and erection components. A customised computational model for the analysis of structural alternatives is investigated. The proposed model is tested in an actual building case where several benchmark designs are computed. The outputs from the model are compared with a small number of actual design alternatives which were developed by engineering practitioners. The proposed method can significantly increase the understanding of the design space's boundaries whilst the computed solutions have exhibited enhanced cost and carbon performance compared to actual designs.

Original language	English
Title of host publication	Digital Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering
Place of Publication	Nottingham
Publisher	University of Nottingham
Pages	64-73
Number of pages	10
Volume	24 (2017)
Publication status	Published - 31 Dec 2017
Event	24th EG-ICE International Workshop on Intelligent Computing in Engineering 2017 - Nottingham, UK United Kingdom Duration: 10 Jul 2017 → 12 Jul 2017

Conference

Conference	24th EG-ICE International Workshop on Intelligent Computing in Engineering 2017
Country/Territory	UK United Kingdom
City	Nottingham
Period	10/07/17 → 12/07/17

ASJC Scopus subject areas

Engineering(all)
Computer Science Applications

Cite this

Eleftheriadis, S., Dunant, C. F., Drewniok, M. P., & Rogers-Tizard, W. (2017). A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages. In Digital Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering (Vol. 24 (2017), pp. 64-73). University of Nottingham.

A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages. / Eleftheriadis, S.; Dunant, C. F.; Drewniok, M. P. et al.

Digital Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering. Vol. 24 (2017) Nottingham : University of Nottingham, 2017. p. 64-73.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Eleftheriadis, S, Dunant, CF, Drewniok, MP & Rogers-Tizard, W 2017, A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages. in Digital Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering. vol. 24 (2017), University of Nottingham, Nottingham, pp. 64-73, 24th EG-ICE International Workshop on Intelligent Computing in Engineering 2017, Nottingham, UK United Kingdom, 10/07/17.

@inproceedings{398a8aef78bd4d3c874472b891b773ec,

title = "A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages",

abstract = "The study explores a practical engineering paradigm that aims to augment the cost and carbon analysis of steel building structures. Cost and carbon functions were developed specifically for this purpose including raw material, fabrication, design, fire protection, and erection components. A customised computational model for the analysis of structural alternatives is investigated. The proposed model is tested in an actual building case where several benchmark designs are computed. The outputs from the model are compared with a small number of actual design alternatives which were developed by engineering practitioners. The proposed method can significantly increase the understanding of the design space's boundaries whilst the computed solutions have exhibited enhanced cost and carbon performance compared to actual designs.",

author = "S. Eleftheriadis and Dunant, {C. F.} and Drewniok, {M. P.} and W. Rogers-Tizard",

note = "Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; 24th EG-ICE International Workshop on Intelligent Computing in Engineering 2017 ; Conference date: 10-07-2017 Through 12-07-2017",

year = "2017",

month = dec,

day = "31",

language = "English",

volume = "24 (2017)",

pages = "64--73",

booktitle = "Digital Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering",

publisher = "University of Nottingham",

address = "UK United Kingdom",

}

TY - GEN

T1 - A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages

AU - Eleftheriadis, S.

AU - Dunant, C. F.

AU - Drewniok, M. P.

AU - Rogers-Tizard, W.

PY - 2017/12/31

Y1 - 2017/12/31

N2 - The study explores a practical engineering paradigm that aims to augment the cost and carbon analysis of steel building structures. Cost and carbon functions were developed specifically for this purpose including raw material, fabrication, design, fire protection, and erection components. A customised computational model for the analysis of structural alternatives is investigated. The proposed model is tested in an actual building case where several benchmark designs are computed. The outputs from the model are compared with a small number of actual design alternatives which were developed by engineering practitioners. The proposed method can significantly increase the understanding of the design space's boundaries whilst the computed solutions have exhibited enhanced cost and carbon performance compared to actual designs.

AB - The study explores a practical engineering paradigm that aims to augment the cost and carbon analysis of steel building structures. Cost and carbon functions were developed specifically for this purpose including raw material, fabrication, design, fire protection, and erection components. A customised computational model for the analysis of structural alternatives is investigated. The proposed model is tested in an actual building case where several benchmark designs are computed. The outputs from the model are compared with a small number of actual design alternatives which were developed by engineering practitioners. The proposed method can significantly increase the understanding of the design space's boundaries whilst the computed solutions have exhibited enhanced cost and carbon performance compared to actual designs.

UR - http://www.scopus.com/inward/record.url?scp=85026828694&partnerID=8YFLogxK

M3 - Chapter in a published conference proceeding

AN - SCOPUS:85026828694

VL - 24 (2017)

SP - 64

EP - 73

BT - Digital Proceedings of the 24th EG-ICE International Workshop on Intelligent Computing in Engineering

PB - University of Nottingham

CY - Nottingham

T2 - 24th EG-ICE International Workshop on Intelligent Computing in Engineering 2017

Y2 - 10 July 2017 through 12 July 2017

ER -

A computational paradigm for the optimisation of steel building structures based on cost and carbon indexes in early design stages

Abstract

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this