Concept for development of stochastic databases for building performance simulation – A material database pilot project
| Autor: | John Grunewald, Nuno M. M. Ramos, Jianhua Zhao, M. Lurdes Simões, Rudolf Plagge |
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| Přispěvatelé: | Faculdade de Engenharia |
| Rok vydání: | 2015 |
| Předmět: |
Environmental Engineering
Database Computer science Geography Planning and Development Engenharia civil Engenharia civil Probabilistic logic Building and Construction computer.software_genre Development (topology) Deterministic simulation Range (statistics) Probability distribution Engenharia civil [Ciências da engenharia e tecnologias] Civil engineering Civil engineering Data mining Civil engineering [Engineering and technology] Material properties computer Uncertainty analysis Civil and Structural Engineering Statistical hypothesis testing |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 0360-1323 |
| DOI: | 10.1016/j.buildenv.2014.10.030 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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