Issue |
E3S Web Conf.
Volume 172, 2020
12th Nordic Symposium on Building Physics (NSB 2020)
|
|
---|---|---|
Article Number | 21008 | |
Number of page(s) | 6 | |
Section | Advanced building envelope | |
DOI | https://doi.org/10.1051/e3sconf/202017221008 | |
Published online | 30 June 2020 |
Risk-based Optimization of Sensor Distribution in Roof Constructions – A Conceptual Study
SINTEF, Architecture, Building Materials and Structures, 7034 Trondheim, Norway
* Corresponding author: klodian.gradeci@sintef.no
The objective of placing moisture sensors in roof constructions is to warn about leakage events, and thus avoid undesirable consequences. However, considering that placing an additional sensor is directly related to increasing the total cost of the solution, the distribution and placement of the sensor system should be sought as a risk-based problem seeking for the most optimal solution. This paper conceptualises a risk-based optimization methodology that seeks the optimal solution for the sensor system in roof constructions as the one that maximises the return of investment. The latter is sought as a function of the leakage risk, which is derived as a multiplication of the likelihood that leakage events may occur in a roofing system, and their consequences, defined as the amount of direct (and indirect) costs in case a leakage event occurs. The optimal solution is expressed as the total number of sensors and their geometrical distribution. This conceptual study intends to foster innovative usage of sensor systems within the construction sector to allow owners and contractors to identify and avoid consequences of leakage events in roofing systems.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.