Canadian Inventory of Historic Building

1986 ◽  
Vol 18 (1/2) ◽  
pp. 49
Author(s):  
Christina Cameron
Keyword(s):  
2015 ◽  
Vol 95 ◽  
pp. 86-91 ◽  
Author(s):  
Lorenza Bianco ◽  
Valentina Serra ◽  
Stefano Fantucci ◽  
Marco Dutto ◽  
Marco Massolino

2010 ◽  
Vol 133-134 ◽  
pp. 1225-1231 ◽  
Author(s):  
Feng Lin ◽  
Ying Wang ◽  
Xiang Lin Gu ◽  
Xin Yuan Zhao

Important historic buildings may be subjected to accidental loads during their service life. It is therefore necessary not only to evaluate their safety under traditional loads and seismic action (only in earthquake area), but also to evaluate the structural performance of resisting progressive collapse. For historic buildings, two aspects make them different from the modern buildings: the material properties are usually deteriorated to some extent, and the structural system/constructions may not meet the requirements of current design and construction codes. Considering such aspects, a method consisting of four steps to evaluate the performance of the historic buildings to resist progressive collapse is presented in this paper. Firstly, the building layout should be evaluated whether it can protect the occupants from the possible explosion. Secondly, geometrical information, structural constructions and the material properties are to be investigated in details. Thirdly, by means of tie force method and the alternate path method the performance of the structure is analyzed to resist progressive collapse. The load combinations used in the analysis are derived based on the expected service life of the structure. The failure criteria for the structural elements as well as the damage limits for the structure follow the provisions addressed in American Unified Facilities Criteria “Design of Structure to Resist Progressive Collapse” (UFC 4-023-03). Finally, based on the above information an overall evaluation is made for the probably structural retrofitting and strengthening. This method is illustrated with a case study of a steel frame historic building, namely the Bund 18 building, in Shanghai, China. Some suggestions for retrofitting and strengthening this building are also presented.


Author(s):  
Heliara Aparecida Costa ◽  
MARCIO PRESENTE DE SOUZA ◽  
GUILHERME QUINILATO BALDESSIN ◽  
GABRIELA ALBANO ◽  
MARCIO MINTO FABRÍCIO

A metodologia Building Information Modelling (BIM) é, atualmente, uma das principais expressões das inovações tecnológicas digitais aplicadas à Arquitetura, Engenharia, Construção e Operação. Trata-se de instrumento capaz de analisar grande quantidade de informações, por meio de um modelo virtual que gerencia o ciclo de vida do edifício, voltado as fases anteriores à construção. Para edifícios construídos tem-se o conceito de HBIM (Historic Building Information Modelling) como alternativa de gerenciamento, na qual objetos paramétricos são construídos a partir de dados de edifícios históricos. No entanto, componentes destinados ao registro histórico são raros em bibliotecas BIM e exigem grande esforço de modelagem, necessitando de protocolos e especificações relativos aos seus processos. Este artigo identifica e analisa meios para modelagem de componentes de um edifício histórico em BIM, partindo de um elemento do edifício moderno E1, localizado no campus USP São Carlos, SP. O método consistiu em revisão bibliográfica, levantamentos no local, modelagem paramétrica e avaliação das formas de desenvolvimento dos componentes, com uso de software BIM. Os resultados identificam três processos distintos de modelagem: Família de Sistema, Família Composta e Família Modelada no Local. A contribuição do artigo é a descrição e discussão dos procedimentos adotados, das potencialidades e limitações de cada processo e da sua aplicação a estudos similares. Os elementos produzidos foram disponibilizados em um repositório público, a fim de possibilitar seu registro, documentação e uso em projetos de gestão, manutenção, preservação e reconstrução do patrimônio estudado, e também como modelo exemplificado para bibliotecas HBIM a serem futuramente construídas.


2018 ◽  
Vol 44 ◽  
pp. 00013 ◽  
Author(s):  
Vladimir Badenko ◽  
Alexander Fedotov ◽  
Dmitry Zotov

Analyses of gaps in processing of raw laser scanning data and results of bridging the gaps discovered on the basis of usage of laser scanning data for historic building information modelling are presented. Some results of the development of a unified hybrid technology for the processing, storage, access and visualization of combined laser scanning and photography data about historical buildings are analyzed. The first result of the technology application to historical building of St. Petersburg Polytechnic University shows the robustness of the approaches proposed.


2019 ◽  
Vol 232 ◽  
pp. 751-758 ◽  
Author(s):  
Marcos L.S. Oliveira ◽  
Carolina Dario ◽  
Bernardo F. Tutikian ◽  
Hinoel Z. Ehrenbring ◽  
Caliane C.O. Almeida ◽  
...  

2020 ◽  
Vol 12 (14) ◽  
pp. 5848
Author(s):  
Antonio Martinez-Molina ◽  
Miltiadis Alamaniotis

In recent years, the interest in properly conditioning the indoor environment of historic buildings has increased significantly. However, maintaining a suitable environment for building and artwork preservation while keeping comfortable conditions for occupants is a very challenging and multi-layered job that might require a considerable increase in energy consumption. Most historic structures use traditional on/off heating, ventilation, and air conditioning (HVAC) system controllers with predetermined setpoints. However, these controllers neglect the building sensitivity to occupancy and relative humidity changes. Thus, sophisticated controllers are needed to enhance historic building performance to reduce electric energy consumption and increase sustainability while maintaining the building historic values. This study presents an electric cooling air controller based on a fuzzy inference system (FIS) model to, simultaneously, control air temperature and relative humidity, taking into account building occupancy patterns. The FIS numerically expresses variables via predetermined fuzzy sets and their correlation via 27 fuzzy rules. This intelligent model is compared to the typical thermostat on/off baseline control to evaluate conditions of cooling supply during cooling season. The comparative analysis shows a FIS controller enhancing building performance by improving thermal comfort and optimizing indoor environmental conditions for building and artwork preservation, while reducing the HVAC operation time by 5.7%.


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