Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/98937
Author(s): Jianhua Zhao
Rudolf Plagge
Nuno M. M. Ramos
M. Lurdes Simões
John Grunewald
Title: Concept for development of stochastic databases for building performance simulation - A material database pilot project
Issue Date: 2015
Abstract: Probabilistic assessment of hygrothermal performance of building components has received increasing attention by recently published research. Compared to deterministic simulation, probabilistic simulation provides a wide range of possibilities that could cover unexpected scenarios. The inputs' uncertainties determine the corresponding range and distribution of simulation outputs. However, the lack of knowledge of input variability becomes one of the obstacles in the risk assessment. In this paper the concept of a stochastic material database for probabilistic building performance simulation was developed and illustrated. The source of uncertainty in the material data was addressed and uncertainty in different data levels was analyzed. In addition to specific materials, generic materials which have the common characteristics of one type of specific material were also included in the database, to take into consideration the situations in which the specific materials of concern are not well known. It is essential that when performing data sampling the correlations between material parameters and the interrelations between material parameters and material functions are taken into account. Probability distributions of material properties in different material categories were analyzed with statistical tests.
Subject: Engenharia civil, Engenharia civil
Civil engineering, Civil engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia civil
Engineering and technology::Civil engineering
URI: https://hdl.handle.net/10216/98937
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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