Academic Journal
Utilizing Generative Design Algorithms for Innovative Structural Engineering Solutions
| العنوان: | Utilizing Generative Design Algorithms for Innovative Structural Engineering Solutions |
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| المؤلفون: | Ramesh B, RJ Anandhi, Singla Atul, Chandra Pradeep Kumar, Sethi Vandana Arora, Abood Ahmed Salam |
| المصدر: | E3S Web of Conferences, Vol 505, p 03010 (2024) |
| بيانات النشر: | EDP Sciences, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Environmental sciences |
| مصطلحات موضوعية: | generative design, structural engineering, algorithmic processes, sustainability, innovative solutions, design optimization, Environmental sciences, GE1-350 |
| الوصف: | The present research paper examines the application of generative design algorithms in the area of structural engineering. This new approach has transformed the field of structural engineering through its innovative solutions. The integration of algorithms and AI in generative engineering enables the investigation of broad possibilities for design, with a goal of increasing the productivity, environmental sustainability and aesthetically appeal of constructions. The current research examines the effective implementation of generative design algorithms for dealing with difficult structural issues to generate creative solutions. The text explores into the mathematical methods included its effect on sustainable design, and the potential for customization throughout the area of structural engineering. This study also explores case studies in which the use of generative design is being successfully implemented, providing valuable insights into its real-world benefits and limitations. The main objective is to prove the consequences of generative design algorithms for the design procedure, as well as their involvement in increased creativity, efficiency, as well as environmental sustainability in the field of construction engineering. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English French |
| تدمد: | 2267-1242 |
| Relation: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/35/e3sconf_icarae2023_03010.pdf; https://doaj.org/toc/2267-1242 |
| DOI: | 10.1051/e3sconf/202450503010 |
| URL الوصول: | https://doaj.org/article/e862406ff6124f918de6c62249637948 |
| رقم الانضمام: | edsdoj.862406ff6124f918de6c62249637948 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 22671242 |
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| DOI: | 10.1051/e3sconf/202450503010 |