算法路径和20世纪的持续叙事

IF 0.5 0 ARCHITECTURE Technology Architecture and Design Pub Date : 2022-01-02 DOI:10.1080/24751448.2022.2040302
A. Schultz, Julian Wang
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引用次数: 0

摘要

“历史”揭示了建筑技术、历史和文化的多样化叙事,在促进历史和当代研究创新模式的同时,寻找意想不到的拐点。本期收录的几篇论文对技术与历史之间的交集进行了深入研究,最终为当代话语铺平了道路。作者强调了上述拐点,尝试创新的研究方法,将档案探索与推测性的数字重建相结合,扩展了我们对历史倡议,设计和机器的知识。Elizabeth Andrzejewski、Marcus Shaffer和Ester Obonyo讨论了Konrad Wachsmann富有远见的定位机器人(LOM),该设备在1969年引领了自动化现场建筑装配的道路,代表了机器人的早期版本,标志着建筑自动化过程的开始。在他们的论文“组装组装器:重新激活Wachsmann, Bollinger和Mendoza的“丢失”运动机器”中,作者在完成数字重建,重新阐明其能力并分析其部件后检查了LOM。该研究将LOM定位在一系列关注建筑过程的调查中。Andrew Witt和Eunu Kim在他们的研究工作“历史建筑元素和类型学的神经图像分类器”中利用数据科学技术和机器视觉工具来扫描,分析和分类基于风格和形态特征的历史建筑的大型图像数据集。这种方法和技术可以将传统的历史建筑语境中的定性解释转化为新的定量分析,促进历史建筑的自动编目和分类。Samuel Johnson和Mitesh Dixit的作品《历史重建中的反事实建模:El Lissitzky的水平摩天大楼WB2》探讨了20世纪另一个富有远见的作品——El Lissitzky的wolkenbgel WB2,参与了对未建成结构的推测性重建过程,从而揭示了现有设计文件中不明显的条件。在采取解释自由的同时,作者对利西茨基迭代设计过程的延续是基于选定的证据,将设计过程、应用研究和推测重建结合起来。“从效率到耗竭:马德里计算中心的计算机辅助建筑(1968-1973)”分析了一个未被探索的案例研究的工作,这是一个负责创造力算法的机构。Diana Cristobal Olave认为,在马德里大学计算中心,由算法技术驱动的设计过程重组并没有产生有效的程序,而是产生了一种详尽的(和令人筋疲力尽的)丰富和冗长的方法。对这四篇关于20世纪历史实例的论文的批评和重新背景化代表了对历史项目和过程的一系列富有成效的见解,同时也为理解我们当前状况的潜力和失败提供了工具。此外,本期的另外两篇论文采用算法路径,使设计过程中的深刻理解和创新应用成为可能。Mohammad Makki、Diego Navarro-Mateu和Milad Showkatbakhsh合著的《解码建筑基因组:设计中的多目标进化算法》展示了算法路径和20世纪的持续叙事
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Algorithmic Pathways and the Continuing Narratives of the Twentieth Century
T A D 6 : 1 “Histories” uncovers the diverse narratives in architecture technology, history, and culture, looking for unexpected inflection points while facilitating innovative modes of historical and contemporary research. Several of the papers included in this issue instrumentalize a close look at the intersection between technology and history ultimately paving the road to contemporary discourse. The authors highlight the aforementioned inflection points, experimenting with innovative research methods, combining archival explorations with speculative digital reconstruction, expanding our knowledge of historic initiatives, designs, and machines. Elizabeth Andrzejewski, Marcus Shaffer, and Ester Obonyo discuss Konrad Wachsmann’s visionary Location Orientation Manipulator (LOM), a device that led the way for automated on-site building assembly in 1969, representing an early version of a robot that marks the beginning of automated processes in construction. In their paper “Assembling the Assembler: Reanimating the ‘Lost’ Motion Machine of Wachsmann, Bollinger, and Mendoza” the authors examine the LOM after completing a digital reconstruction, rearticulating its capacities, and analyzing its parts. The research positions the LOM in a line of inquiry focused on the building process. Andrew Witt and Eunu Kim leverage data science techniques and machine vision tools in their research work “Neural Image Classifiers for Historical Building Elements and Typologies” to scan, analyze, and categorize large imagery datasets of historical architecture based on stylistic and morphological characteristics. Such methods and techniques can transcribe the conventional qualitative interpretation in historical architecture contexts into a new quantitative analysis, facilitating automatic cataloging and classification of historical architecture. Samuel Johnson and Mitesh Dixit’s contribution “Counterfactual Modeling in Historical Reconstruction: El Lissitzky’s Horizontal Skyscraper WB2” explores the work of another visionary work of the twentieth century—El Lissitzky’s Wolkenbügel WB2, engaging in a process of speculative reconstruction of an unbuilt structure thus uncovering conditions not obvious in the existing design documentation. While taking interpretative liberties, the authors’ continuation of Lissitzky’s iterative design process is based on selected evidence, uniting the design process, applied research, and speculative reconstruction. “From Efficiency to Exhaustion: Computer-Aided Architecture at the Madrid Calculation Center (1968–1973)” analyzes the work of an unexplored case study, an institution tasked with the algorithmizing of creativity. Diana Cristobal Olave argues that the reorganization of the design process driven by algorithmic techniques at the Calculation Center at the University of Madrid did not result in efficient procedures, but an exhaustive (and exhausting) abundance and lengthy methodologies. The criticism and recontextualization of the four papers addressing historic instances of the twentieth century represent a series of productive insights into historic projects and processes while at the same time laying out tools for understanding the potential and downfalls of our present condition. In addition, the two other papers in this issue adopt algorithmic pathways to enable deep understandings and innovative applications in the design process. “Decoding the Architectural Genome: Multi-Objective Evolutionary Algorithms in Design” by Mohammad Makki, Diego Navarro-Mateu, and Milad Showkatbakhsh demonstrates the Algorithmic Pathways and the Continuing Narratives of the Twentieth Century
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来源期刊
Technology Architecture and Design
Technology Architecture and Design Arts and Humanities-Visual Arts and Performing Arts
CiteScore
1.30
自引率
0.00%
发文量
18
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