HBIM: Background, Current Trends, and Future Prospects

被引:0
|
作者
Avila, Fernando [1 ,2 ]
Blanca-Hoyos, Alvaro [1 ]
Puertas, Esther [1 ]
Gallego, Rafael [1 ]
机构
[1] Univ Granada, Dept Struct Mech & Hydraul Engn, Granada 18001, Spain
[2] Univ Politecn Valencia, Dept Continuum Mech & Theory Struct, Valencia 46022, Spain
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 23期
关键词
HBIM; BIM; built heritage; cultural heritage; historic building; preventive preservation; heritage management; SCANNING POINT CLOUDS; CULTURAL-HERITAGE; BUILT HERITAGE; LASER; BIM; DOCUMENTATION; DIAGNOSIS; MODELS;
D O I
10.3390/app142311191
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Historic building information modeling (HBIM) represents an emerging field that extends traditional building information modeling (BIM) to the preservation, management, and analysis of heritage structures. This paper provides a comprehensive overview of HBIM, tracing its evolution from its origins and early applications to its current state and future prospects. The processes of data collection and modeling are thoroughly examined, addressing levels of detail, digitization methods, and commonly used software and data formats. Attention is also given to existing BIM standards and protocols and their potential application to HBIM. The paper emphasizes the importance of appropriate data selection and management, both for geometrical and non-geometrical (historical and architectural) information. Furthermore, it explores the integration of HBIM with structural analysis tools, a subject of growing interest, particularly in light of its potential for integration with structural health monitoring systems and advanced computational models. The results of this review highlight the increasing role of HBIM in heritage preventive preservation and management, a topic that accounted for 40% of the articles on this subject in 2023. These findings demonstrate that HBIM offers significant potential for managing and preserving heritage buildings, but to fully realize its capabilities, advancements in data interoperability, standardized protocols, and real-time structural analysis are essential to make it a widely effective tool in conservation efforts.
引用
收藏
页数:23
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