Literature DB >> 31022547

Multi-objective green design model to mitigate environmental impact of construction of mega columns for super-tall buildings.

Jewoo Choi1, Min Gyu Lee1, Hyung Seok Oh1, Sang Geun Bae1, Jung Hwan An1, Da Yo Yun1, Hyo Seon Park2.   

Abstract

The mega columns used in super-tall buildings are several meters in size; thus, a greater quantity of construction materials are required than for a general column. Considering the environmental impact, research on a green design model for super-tall buildings is necessary. This design model should minimize both CO2 emissions and cost in the mega-column construction and design phases with consideration of the member or building size. In this regard, a multi-objective green design model (MOGDM) capable of minimizing construction cost and reducing CO2 emissions is proposed in this study. The MOGDM is applied to the design of mega columns for a super-tall building and its performance is evaluated based on the average environmental impact reduction rate (AER) and the average increase-in-cost reduction rate (AICR); these indexes are developed to assess the CO2 emission and construction cost reduction capability. Under the loading scenarios considered in this study, the average AER and AICR for the MOGDM output are 6.76% and 58.02%, respectively. Thus, the evaluation results confirm that the MOGDM proposed in this study can effectively reduce CO2 emissions and cost in the design and construction phases of mega columns for super-tall buildings.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Construction material cost; Embodied CO(2) emissions; Green design method; High-rise building; Mega column

Year:  2019        PMID: 31022547     DOI: 10.1016/j.scitotenv.2019.04.152

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

1.  A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.

Authors:  Iván Palomares; Eugenio Martínez-Cámara; Rosana Montes; Pablo García-Moral; Manuel Chiachio; Juan Chiachio; Sergio Alonso; Francisco J Melero; Daniel Molina; Bárbara Fernández; Cristina Moral; Rosario Marchena; Javier Pérez de Vargas; Francisco Herrera
Journal:  Appl Intell (Dordr)       Date:  2021-06-11       Impact factor: 5.086

2.  Analysis on the stochastic evolution process of low-carbon transformation for supplier groups in construction supply chain.

Authors:  Yaohong Yang; Jing Dai; Yi Zeng; Ying Liu
Journal:  PLoS One       Date:  2022-03-08       Impact factor: 3.240

3.  Visual Sensor Image Deconstruction in Constructing Green Building Design Space Adjustment Construction Strategy.

Authors:  Xiumin Xia
Journal:  Comput Intell Neurosci       Date:  2022-09-10
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.