Integrated design optimization framework for green lightweight concrete

被引:8
作者
Alqahtani, Fahad K. [1 ]
Sherif, Mohamed [2 ]
Abotaleb, Ibrahim S. [3 ]
Hosny, Ossama [3 ]
Nassar, Khaled [3 ]
Mohamed, Ahmed Gouda [4 ]
机构
[1] King Saud Univ, Coll Engn, Dept Civil Engn, POB 800, Riyadh 11421, Saudi Arabia
[2] Univ Hawaii Manoa, Coll Engn, Civil & Environm Engn Dept, Honolulu, HI USA
[3] Amer Univ Cairo, Sch Sci & Engn, Dept Construct Engn, New Cairo 11835, Egypt
[4] British Univ Egypt, Fac Engn Construct Engn & Management, Cairo 11837, Egypt
关键词
Optimization framework; Modeling and simulation; Decision support framework; Optimal structural design; Cost saving; Green lightweight concrete; CO2; EMISSIONS; COST; REINFORCEMENT;
D O I
10.1016/j.jobe.2023.106838
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 34 条
[11]   Investigating relationships between cost and CO2 emissions in reinforced concrete structures using a BIM-based design optimisation approach [J].
Eleftheriadis, S. ;
Duffour, P. ;
Greening, P. ;
James, J. ;
Stephenson, B. ;
Mumovic, D. .
ENERGY AND BUILDINGS, 2018, 166 :330-346
[12]   Life cycle assessment of lightweight concrete containing recycled plastics and fly ash [J].
Ersan, Yusuf Cagatay ;
Gulcimen, Sedat ;
Imis, Tuba Nur ;
Saygin, Osman ;
Uzal, Nigmet .
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING, 2022, 26 (07) :2722-2735
[13]   Parametric modelling and evolutionary optimization for cost-optimal and low-carbon design of high-rise reinforced concrete buildings [J].
Gan, Vincent J. L. ;
Wong, C. L. ;
Tse, K. T. ;
Cheng, Jack C. P. ;
Lo, Irene M. C. ;
Chan, C. M. .
ADVANCED ENGINEERING INFORMATICS, 2019, 42
[14]   Multiobjective optimization of post-tensioned concrete box-girder road bridges considering cost, CO2 emissions, and safety [J].
Garcia-Segura, Tatiana ;
Yepes, Victor .
ENGINEERING STRUCTURES, 2016, 125 :325-336
[15]   Multi-objective optimization for cost-effective aseismic design of submerged floating tunnels considering weighted preferences [J].
He, Renfei ;
Zhang, Limao .
OCEAN ENGINEERING, 2022, 250
[16]   Optimizing structural roof form for life-cycle energy efficiency [J].
Huberman, N. ;
Pearlmutter, D. ;
Gal, E. ;
Meir, I. A. .
ENERGY AND BUILDINGS, 2015, 104 :336-349
[17]  
International Energy Agency United Nations, 2019, 2019 GLOB STAT REP B
[18]  
Kosloski A., 2014, 1776 CLEMS U
[19]   Automated optimization of steel reinforcement in RC building frames using building information modeling and hybrid genetic algorithm [J].
Mangal, Mohit ;
Cheng, Jack C. P. .
AUTOMATION IN CONSTRUCTION, 2018, 90 :39-57
[20]   Environmental assessment of cost optimized structural systems in tall buildings [J].
Mavrokapnidis, Dimitris ;
Mitropoulou, Chara Ch ;
Lagaros, Nikos D. .
JOURNAL OF BUILDING ENGINEERING, 2019, 24