...
首页> 外文期刊>The Science of the Total Environment >Multi-objective green design model to mitigate environmental impact of construction of mega columns for super-tall buildings
【24h】

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

机译:多目标绿色设计模型,以减轻超高层建筑巨型柱的施工对环境的影响

获取原文
获取原文并翻译 | 示例
           

摘要

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. (C) 2019 Elsevier B.V. All rights reserved.
机译:超高层建筑中使用的巨型柱子的尺寸为几米;因此,比一般的立柱需要更多的建筑材料。考虑到环境影响,有必要研究超高层建筑的绿色设计模型。该设计模型应在考虑构件或建筑物大小的情况下,在巨型柱的建造和设计阶段中,将二氧化碳排放量和成本降至最低。因此,本研究提出了一种多目标绿色设计模型(MOGDM),该模型能够最大程度地降低建筑成本并减少CO2排放。 MOGDM用于超高层建筑的巨型柱的设计,其性能基于平均环境影响降低率(AER)和平均成本降低率(AICR)进行评估;开发这些指标是为了评估CO2排放和降低建筑成本的能力。在本研究中考虑的负载情况下,MOGDM输出的平均AER和AICR分别为6.76%和58.02%。因此,评估结果证实了本研究中提出的MOGDM可以在超高层建筑的巨型柱的设计和施工阶段有效减少CO2排放和成本。 (C)2019 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号