Building Tomorrow: Navigating Sustainable Construction with Artificial Intelligence

被引:1
作者
Pasupuleti, Revathi [1 ]
Orekanti, Eswara Reddy [1 ]
Rao, B. Narendra Kumar [2 ]
机构
[1] Mohan Babu Univ, Sch Engn, Dept Civil Engn, Tirupati, Andhra Pradesh, India
[2] Mohan Babu Univ, Sch Engn, Dept AI & ML, Tirupati, Andhra Pradesh, India
来源
2024 INTERNATIONAL CONFERENCE ON SOCIAL AND SUSTAINABLE INNOVATIONS IN TECHNOLOGY AND ENGINEERING, SASI-ITE 2024 | 2024年
关键词
Artificial Intelligence; Sustainable Buildings; Neural Networks; Sustainable Construction; RECYCLED AGGREGATE; CONCRETE;
D O I
10.1109/SASI-ITE58663.2024.00029
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the realm of modern architecture and construction projects, a multitude of factors weigh heavily on designers, driving them to make intricate and challenging decisions. These factors encompass the imperative to curtail energy consumption, manage resources efficiently, incorporate eco-friendly materials, harness an array of contemporary technologies, and navigate the intricate, multi-branch nature of architectural and construction endeavors. The work at hand seeks to unveil a spectrum of project tools that are currently in use within the construction industry, facilitating sustainable building design analysis. Additionally, it offers a panoramic view of the potential applications of artificial intelligence methodologies and tools, including Knowledge-Based Engineering (KBE), fuzzy logic, neural networks, and genetic algorithms. These innovative approaches can substantially enhance the early stages of design by streamlining decision making processes and optimizing both the design phase and the overall project. This article expounds upon the prospective avenues for the development and broader implementation of AI techniques in sustainable building construction, with a strong emphasis on their commercial viability.
引用
收藏
页码:125 / 130
页数:6
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