The paper focuses on a classification procedure of building typologies benchmark aimed at vulnerability and exposure analysis of existing building stock at urban scale. This procedure is based on data collection at different levels of detail of typological, structural and technological component of existing residential buildings according to the CARTIS scheme developed in the framework of ReLUIS project.The data structure of CARTIS schedule are complemented by a further envelope building information and plant features, in order to define different building typology classes on the bases of characteristics regarding both structural and energy behaviour, representative of a whole urban building stock.As a first step the information are collected at urban scale in order to carry out a preliminary division in homogeneous sectors in which different building typologies are identified on the bases of similar characteristics. Subsequently more detailed data for several building sample are obtained by available technical documentations, photographic record, expeditious inspections and survey to know typological, geometrical, structural, technological characteristics, possible damage and degradation state and maintenance condition at single building scale. This allow a cross-validation of the data collected at different level of detail.The procedure proposed has been implemented for a city of Bisceglie located in Puglia, Italy, for which data gathered has carried out at urban scale and then at single building scale.The methodology presented in this work makes it possible to classify a large number of buildings in specific typology class considering not only typological and structural features but also envelope and plant characteristics in order to implement a fast procedure of analysis of different fundamental aspects of existing building stock using data with a growing level of detail.
Proposal of a Procedure for Gathering Data for The Structural and Energy Classification of Residential Building Stock: A Case Study in Puglia
Leggieri, Valeria
Secondo
;
2019-01-01
Abstract
The paper focuses on a classification procedure of building typologies benchmark aimed at vulnerability and exposure analysis of existing building stock at urban scale. This procedure is based on data collection at different levels of detail of typological, structural and technological component of existing residential buildings according to the CARTIS scheme developed in the framework of ReLUIS project.The data structure of CARTIS schedule are complemented by a further envelope building information and plant features, in order to define different building typology classes on the bases of characteristics regarding both structural and energy behaviour, representative of a whole urban building stock.As a first step the information are collected at urban scale in order to carry out a preliminary division in homogeneous sectors in which different building typologies are identified on the bases of similar characteristics. Subsequently more detailed data for several building sample are obtained by available technical documentations, photographic record, expeditious inspections and survey to know typological, geometrical, structural, technological characteristics, possible damage and degradation state and maintenance condition at single building scale. This allow a cross-validation of the data collected at different level of detail.The procedure proposed has been implemented for a city of Bisceglie located in Puglia, Italy, for which data gathered has carried out at urban scale and then at single building scale.The methodology presented in this work makes it possible to classify a large number of buildings in specific typology class considering not only typological and structural features but also envelope and plant characteristics in order to implement a fast procedure of analysis of different fundamental aspects of existing building stock using data with a growing level of detail.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
