MULTI-OBJECTIVE GREEN DESIGN MODEL BASED ON COSTS, CO2 EMISSIONS AND SERVICEABILITY FOR HIGH-RISE BUILDINGS WITH A MEGA-STRUCTURE SYSTEM

Jewoo Choi, Seung Hyeong Lee, Taehoon Hong, Dong Eun Lee, Hyo Seon Park

Research output: Contribution to journalArticlepeer-review

Abstract

In light of growing environmental concerns, the reduction of CO2 emissions is increasingly vital. Particularly in the construction industry, a major contributor to global carbon emissions, addressing this issue is critical for environmental sustainability and mitigating the accelerating impacts of climate change. This study proposes the Optimal Green Design Model for Mega Structures (OGDMM) to optimise CO2 emissions, cost-effectiveness, and serviceability in high-rise buildings with mega structures. The OGDMM examines the impact of each material and structural design of main members on these three critical aspects. Analytical results for high-rise buildings (120–200 m, slenderness ratio: 2.0–8.0) demonstrate that OGDMM can reduce CO2 emissions and costs by an average of 4.67% and 3.97%, respectively, without compromising serviceability. To ensure comprehensive evaluation, this study introduces five new evaluation indicators encompassing environmental, economic, and serviceability performances of high-rise buildings. Based on these criteria, optimised structural designs for high-rise buildings are classified into four categories according to slenderness ratio, leading to the formulation of corresponding design guidelines. The model’s applicability is further validated through its application to a 270-m-tall high-rise building in Korea, showing reductions in CO2 emissions and costs by 8.99% and 18.50%, respectively, while maintaining structural serviceability.

Original languageEnglish
Pages (from-to)354-372
Number of pages19
JournalJournal of Civil Engineering and Management
Volume30
Issue number4
DOIs
StatePublished - 15 Apr 2024

Keywords

  • green design
  • high-rise building
  • mega-structure system
  • serviceability
  • structural optimisation

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