Architectural intelligence最新文献_第8页

Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment 建筑环境中行人层湍急风流建模的最新进展

Architectural intelligence Pub Date : 2022-07-18 DOI: 10.1007/s44223-022-00008-7

Jiading Zhong, Jianlin Liu, Yongling Zhao, Jianlei Niu, Jan Carmeliet

{"title":"Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment","authors":"Jiading Zhong, Jianlin Liu, Yongling Zhao, Jianlei Niu, Jan Carmeliet","doi":"10.1007/s44223-022-00008-7","DOIUrl":"10.1007/s44223-022-00008-7","url":null,"abstract":"<div><p>Pressing problems in urban ventilation and thermal comfort affecting pedestrians related to current urban development and densification are increasingly dealt with from the perspective of climate change adaptation strategies. In recent research efforts, the prime objective is to accurately assess pedestrian-level wind (PLW) environments by using different simulation approaches that have reasonable computational time. This review aims to provide insights into the most recent PLW studies that use both established and data-driven simulation approaches during the last 5 years, covering 215 articles using computational fluid dynamics (CFD) and typical data-driven models. We observe that steady-state Reynolds-averaged Navier-Stokes (SRANS) simulations are still the most dominantly used approach. Due to the model uncertainty embedded in the SRANS approach, a sensitivity test is recommended as a remedial measure for using SRANS. Another noted thriving trend is conducting unsteady-state simulations using high-efficiency methods. Specifically, both the massively parallelized large-eddy simulation (LES) and hybrid LES-RANS offer high computational efficiency and accuracy. While data-driven models are in general believed to be more computationally efficient in predicting PLW dynamics, they in fact still call for substantial computational resources and efforts if the time for development, training and validation of a data-driven model is taken into account. The synthesized understanding of these modeling approaches is expected to facilitate the choosing of proper simulation approaches for PLW environment studies, to ultimately serving urban planning and building designs with respect to pedestrian comfort and urban ventilation assessment.</p></div>","PeriodicalId":72270,"journal":{"name":"Architectural intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336517/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40577055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From type to network: a review of knowledge representation methods in architecture intelligence design 从类型到网络:建筑智能设计中的知识表示方法综述

Architectural intelligence Pub Date : 2022-07-14 DOI: 10.1007/s44223-022-00006-9

Yihui Li, Wen Gao, Borong Lin

{"title":"From type to network: a review of knowledge representation methods in architecture intelligence design","authors":"Yihui Li, Wen Gao, Borong Lin","doi":"10.1007/s44223-022-00006-9","DOIUrl":"10.1007/s44223-022-00006-9","url":null,"abstract":"<div><p>With the rise of the next generation of artificial intelligence driven by knowledge and data, the research on knowledge representation in architecture is also receiving widespread attention from the academia. This paper sorts out the evolution of architectural knowledge representation methods in the history of architecture, and summarizes three progressive representation frameworks of their development with type, pattern and network. By searching these three keywords in the Web of Science Core Collection among 4867 publications from 1990 to 2021, the number of publications in the past 5 years raised more than 50%, which show significant research interest in architecture industry in recent years. Among them, the first two are static declarative knowledge representation methods, while the network-based knowledge representation method also includes procedural knowledge representation methods and provides a way for knowledge association. This means the network representation has more advantage in terms of the logical completeness of knowledge representation, and accounts for 67% of the current research on knowledge representation in architecture. In the context of the rapid development of artificial intelligence, this method can realize the construction of architectural knowledge system and greatly improve the work efficiency of the building industry. On the other hand, in the face of carbon-neutral sustainable development scenarios, using knowledge representation, building performance knowledge and design knowledge could be expressed in a unified manner, and a personalized and efficient workflow for performance-oriented scheme design and optimization would be achieved.</p></div>","PeriodicalId":72270,"journal":{"name":"Architectural intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44223-022-00006-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42346459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and automation at the end of modernity: the teachings of the pandemic 现代性终结时的设计与自动化：大流行病的教诲

Architectural intelligence Pub Date : 2022-06-25 DOI: 10.1007/s44223-022-00001-0

Mario Carpo

引用次数: 0

Launch editorial 启动编辑

Architectural intelligence Pub Date : 2022-06-24 DOI: 10.1007/s44223-022-00002-z

Philip F. Yuan

引用次数: 0

Generalized topology optimization for architectural design 面向建筑设计的广义拓扑优化

Architectural intelligence Pub Date : 2022-06-24 DOI: 10.1007/s44223-022-00003-y

Yi Min Xie

引用次数: 0

Form Finding and Evaluating Through Machine Learning: The Prediction of Personal Design Preference in Polyhedral Structures 通过机器学习的形式发现和评估:多面体结构中个人设计偏好的预测

Architectural intelligence Pub Date : 2020-01-01 DOI: 10.1007/978-981-15-6568-7_13

Hao Zheng

引用次数: 3

An Architecture for Cyborg Super-Society 半机械人超级社会的架构

Architectural intelligence Pub Date : 2020-01-01 DOI: 10.1007/978-981-15-6568-7_3

P. Schumacher, Xuexin Duan

引用次数: 1

Advanced Timber Construction Platform Multi-Robot System for Timber Structure Design and Prefabrication 先进木结构设计与预制木结构平台多机器人系统

Architectural intelligence Pub Date : 2020-01-01 DOI: 10.1007/978-981-15-6568-7_9

Hua Chai, Liming Zhang, Philip F. Yuan

引用次数: 0

A Question of Style 风格问题

Architectural intelligence Pub Date : 2020-01-01 DOI: 10.1007/978-981-15-6568-7_11

M. Campo, Sandra Manninger, Alexandra Carlson

引用次数: 0

Architectural Intelligence: Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2019) 建筑智能:第一届计算设计与机器人制造国际会议(CDRF 2019)论文选集

Architectural intelligence Pub Date : 2020-01-01 DOI: 10.1007/978-981-15-6568-7

Philip F. Yuan, Mike Xie, Neil Leach, Jiawei Yao, Xiang Wang

引用次数: 4