Loading...
Loading...

Go to the content (press return)

On the selection of significant variables in a model for the deteriorating process of facades

Author
Serrat, C.; Gibert, V.; Casas, J.; Rapinski, J.
Type of activity
Journal article
Journal
IOP conference series: materials science and engineering
Date of publication
2017
Volume
251
Number
012071
First page
1
Last page
8
DOI
https://doi.org/10.1088/1757-899X/251/1/012071 Open in new window
Project funding
Grup de Recerca en Bioestadística i Bioinformàtica (GRBIO)
Statistical methods for clinical trials, complex censoring schemes and integrative omics data analysis
Repository
http://hdl.handle.net/2117/114948 Open in new window
URL
http://iopscience.iop.org/article/10.1088/1757-899X/251/1/012071/pdf Open in new window
Abstract
In previous works the authors of this paper have introduced a predictive system that uses survival analysis techniques for the study of time-to-failure in the facades of a building stock. The approach is population based, in order to obtain information on the evolution of the stock across time, and to help the manager in the decision making process on global maintenance strategies. For the decision making it is crutial to determine those covariates -like materials, morphology and characteristics...
Citation
Serrat, C., Gibert, V., Casas, J., Rapinski, J. On the selection of significant variables in a model for the deteriorating process of facades. "IOP Conference Series: Materials Science and Engineering", 2017, vol. 251, núm. 012071, p. 1-8.
Keywords
Building stock durability, collaboratory, inspection methodologies, modeling techniques, survival analysis
Group of research
EC - Construction Engineering
GRBIO - Biostatistics and Bioinformatics Research Group
GREIP - Building Construction and Heritage Research Group

Participants

Attachments