Parametric Analysis, Generative Design and Machine Learning in Architectural Practice
暫譯: 建築實務中的參數分析、生成設計與機器學習

Okhoya, Victor, Bernal, Marcelo

  • 出版商: Wiley
  • 出版日期: 2026-08-10
  • 售價: $1,960
  • 貴賓價: 9.5$1,862
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1394197993
  • ISBN-13: 9781394197996
  • 相關分類: Design Pattern Machine Learning
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Let these cutting-edge tools revolutionize your architectural problem-solving

Recent technological advances, including rapid development of high-performance computing power, have produced computational tools for architects and designers that are swiftly revolutionizing the field. Two of these tools, parametric analysis and generative design, can be used together to model complex problems and test solutions with extraordinary speed and efficiency. The next generation of architects and designers will bring these tools to bear in a transformed professional landscape.

Parametric Analysis and Generative Design in Architectural Practice offers a detailed introduction to these tools and their applications. Balancing theory and practice, it is replete with useful examples and provides algorithms for three different architectural scales: urban design, building design, and interior design. A foundational discussion on machine learning in architectural practice is presented, along with examples of machine learning applications for energy analysis and solar analysis. It is a must-own for architects looking to leverage an unprecedented level of computational power.

The book also includes:

  • Detailed guidelines for building performance simulation for energy analysis and daylight analysis
  • Algorithms for scales from interiors to buildings to entire cityscapes
  • Discussion of how to implement machine learning in order to solve complex problems

Parametric Analysis and Generative Design in Architectural Practice is ideal for professionals and students at every level looking to diversify their architectural toolkit.

商品描述(中文翻譯)

讓這些尖端工具徹底改變您的建築問題解決方式

最近的技術進步,包括高效能計算能力的快速發展,為建築師和設計師提供了計算工具,這些工具正在迅速改變這個領域。其中兩種工具,參數分析(parametric analysis)和生成設計(generative design),可以結合使用,以驚人的速度和效率來建模複雜問題並測試解決方案。下一代建築師和設計師將在轉變的專業環境中運用這些工具。

《建築實踐中的參數分析與生成設計》提供了這些工具及其應用的詳細介紹。該書在理論與實踐之間取得平衡,充滿了有用的範例,並提供了三種不同建築規模的算法:城市設計、建築設計和室內設計。書中還介紹了機器學習在建築實踐中的基礎討論,以及機器學習在能源分析和太陽能分析中的應用範例。對於希望利用前所未有的計算能力的建築師來說,這是一本必備的書籍。

本書還包括:
- 建築性能模擬的詳細指導,適用於能源分析和日光分析
- 從室內到建築再到整個城市景觀的算法
- 討論如何實施機器學習以解決複雜問題

《建築實踐中的參數分析與生成設計》非常適合各個層級的專業人士和學生,幫助他們擴展建築工具箱。

作者簡介

Dr. Victor Okhoya holds a Doctor of Design in Architecture from Carnegie Mellon University with a specialty in Computational Design, and has worked with architectural computational technology for more than twenty years. He has published widely on architectural computation technology and related subjects, has held leadership roles in digital design technology at leading architectural practices, and has trained hundreds of industry professionals on the use of digital design tools.

Marcelo Bernal, Ph.D., holds a doctoral degree in Architecture from the Georgia Institute of Technology with a specialty in Computational Design, and has more than two decades' experience in research and architectural practice. He has held professorial positions at the Universidad Técnica Federico Santa María (UTFSM), Chile, has published widely on architectural design and related subjects, and is the Past President of the Iberoamerican Society of Digital Graphics, SIGraDi.

作者簡介(中文翻譯)

維克多·奧科亞博士擁有卡內基梅隆大學的建築設計博士學位,專攻計算設計,並在建築計算技術領域工作超過二十年。他在建築計算技術及相關主題上發表了大量文章,曾在領先的建築事務所擔任數位設計技術的領導職位,並培訓了數百名行業專業人士使用數位設計工具。

馬塞洛·伯納爾博士擁有喬治亞理工學院的建築博士學位,專攻計算設計,並在研究和建築實踐方面擁有超過二十年的經驗。他曾在智利的聖瑪麗亞技術大學(UTFSM)擔任教授職位,並在建築設計及相關主題上發表了大量文章,曾擔任伊比利亞美洲數位圖形學會(SIGraDi)的前會長。