Analysis to determine the average life of the residential building

DOI

10.2991/iccet-15.2015.62How to use a DOI?

Keywords

Residential building; life; Weibull; regression analysis

Abstract

short-lived building received more and more attention . With the assumed distribution function method to measure the life of residential buildings , with the frequency of things occured in n trials to estimate the probability of something happening , make maximum use of fewer lifetime data , and then regression analysis to determine the life of the residential building meet the Weibull distribution, and determined related parameters, finally using a small group of residential life data in the 1980s calculated the average life of residential building in this area is 45.6 years . Providing an effective method to calculate the average service life of residential construction. Finally through analysis the influence factors of building life, the strategies which can prolong the service life of the building are put forward.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cui-Ping Wang
PY  - 2015/11
DA  - 2015/11
TI  - Analysis to determine the average life of the residential building
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 312
EP  - 316
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.62
DO  - 10.2991/iccet-15.2015.62
ID  - Wang2015/11
ER  -