Multidisciplinary Computational Optimization: An Integrated Approach to Achieve Sustainability in Tall Building Design at Early Stage-Review

• Main Authors: Alkhatib, F.H., Kasim, N., Goh, W.I., Al-Masudi, A.A.H.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125075774&doi=10.1109%2fIEEECONF53624.2021.9668031&partnerID=40&md5=2ba4c722828db1deb89b17f4a3dc8e90; http://eprints.utp.edu.my/29146/

Tall buildings become the solution in facing scarcity of lands and population growth, but also considered as major energy consumer with little regard to sustainable design. Tall building performance is increasingly being a topic of considerable interest and research as the built environment becomes more concerned about sustainability. However, contemporary architecture is characterized by irregular shapes whose complexity is related to the fulfilment of several requirements architecturally and structurally, which compounds the challenges of effective collaboration between architects and engineers during early stage where design decisions heavily impact the overall performance of the building and its sustainability index. This paper presents an overview of the related previous studies to explore the key factors influencing the design outcome of complex tall buildings. Consequently, this research provides the groundwork for Multidisciplinary Computational Optimization (MCO) through proposing a methodological interactive design approach in which structure is integrated into the development of tall building forms. The method creates a synergy between generative and analytical tools, allowing for the parallel interaction of architectural and structural design consideration for a sustainable-effective design during conceptual stage. © 2021 IEEE.