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Integrated design optimization framework for green lightweight concrete

delete2023-08-01
delete6
PRE
AI
F
Fahad Alqahtani *
M
Mohamed Sherif
I
Ibrahim Abotaleb
O
Ossama Hosny
K
Khaled Nassar
A
Ahmed Gouda Mohamed
DOI:10.1016/j.jobe.2023.106838delete
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摘要

摘要

En 中文
The increasing global concern for the environment and advancements in computational tools and techniques are transforming the way building structures are designed and constructed. The current economic climate and growth of the Architecture, Engineering, and Construction (AEC) industry demand the creation of environmentally sustainable and efficient buildings, starting from the design stage. Despite the AEC industry being a thriving sector in many countries, it is vulnerable to environmental degradation due to the impact of building materials. This paper presents a decision support framework for the optimal structural design of green concrete buildings using recycled plastic aggregates and lightweight concrete. The framework considers uncertainties such as design safety, architectural requirements, material efficacy, cost-effectiveness, and environmental impact. The approach evaluates four concrete aggregate materials with varying characteristics: Natural Weight Aggregate, Lightweight Volcanic Aggregate, and Plastic-Based Green Lightweight Aggregates. The proposed approach is demonstrated through a prototype model, which shows cost savings of up to 5% per floor compared to the conventional concrete mix. The results provide quantitative evidence of the direct financial benefits of using green concrete in lieu of the optimization framework, which is expected to encourage construction professionals to use environmentally friendly concrete and take part in greening the construction industry.
Keyword:
Optimization framework
Modeling and simulation
Decision support framework
Optimal structural design
Cost saving
Green lightweight concrete

期刊

Journal of Building Engineering 封面图
Journal of Building Engineering
IF:
7.4
论文数:
1.7W
被引数:
6.6W

机构

K
King Saud University
学者数:
3.4W
论文数: 3.8W
被引数: 815
U
University of Hawaii Manoa
学者数:
6.0K
论文数: 4.8K
被引数: 9
E
egyptian knowledge bank (ekb)
学者数:
11.6W
论文数: 9.3W
被引数: 84
University of Hawaii System 封面图
University of Hawaii System
学者数:
1.6W
论文数: 1.5W
被引数: 1.2W
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