A Review of Parametric Design of Tall Buildings

A review of the Sustainability and Parametric Design Approach of Complex Tall Buildings at an Early Design Stage

10.1109/ieeeconf53624.2021.9668164 ◽

2021 ◽

Author(s):

Aiman H. H. Al-Masoodi ◽

F. H. Alkhatib ◽

Nasir Shafiq ◽

Al-Hussein M. H. Al-Aidrous

Keyword(s):

Parametric Design ◽

Tall Buildings ◽

Design Approach ◽

Design Stage ◽

Early Design ◽

Early Design Stage

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Genetic Algorithm for Embodied Energy Optimisation of Steel-Concrete Composite Beams

Sustainability ◽

10.3390/su12083102 ◽

2020 ◽

Vol 12 (8) ◽

pp. 3102 ◽

Cited By ~ 1

Author(s):

Alex H. Whitworth ◽

Konstantinos Daniel Tsavdaridis

Keyword(s):

Genetic Algorithm ◽

Parametric Design ◽

Construction Materials ◽

Tall Buildings ◽

Composite Beams ◽

Embodied Energy ◽

Objective Functions ◽

Composite Frames ◽

Energy Optimisation ◽

The Relationship

The optimisation of structural performance is acknowledged as a means of obtaining sustainable structural designs. A minimisation of embodied energy of construction materials is a key component in the delivery of sustainable future designs. This study attempts to understand the relationship between embodied energy and structural form of composite floor plates for tall buildings, and how this form can be optimised to minimise embodied energy. As a search method based upon the principles of genetics and natural selection, genetic algorithms (GA) have previously been used as novel means of optimising composite beams and composite frames for cost and weight objective functions. Parametric design models have also been presented as optimisation tools to optimise steel floor plates for both cost and embodied carbon. In this study, a Matlab algorithm is presented incorporating MathWorks global optimisation toolbox GA and utilising Eurocode 4 design processes to optimise a composite beam for five separate objective functions: maximise span length; minimise beam cross-section; minimise slab depth; minimise weight; minimise deflected shape for each of the objective functions. Candidate designs are to be assessed for embodied energy to determine individual relationships. This study shows that it is possible to reduce the embodied energy of steel–concrete composite beams by genetic algorithm optimisation whilst remaining compliant to given design codes.

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