TY - JOUR
T1 - A risk-based optimisation for pavement preventative maintenance with probabilistic LCCA
T2 - a Chinese case
AU - Wu, Dayong
AU - Yuan, Changwei
AU - Liu, Hongchao
N1 - Funding Information:
This research was supported by Natural Science Foundation of China [project no. 51278057] and Natural Science Foundation of Shaanxi Province, P.R. China [project no. 2012JQ5013].
Publisher Copyright:
© 2015 Taylor & Francis.
PY - 2017/1/2
Y1 - 2017/1/2
N2 - Compared to major structural repair or even replacement, preventative preservation of in-service pavements has been more popular in engineering practices, but recently, pavement preventative maintenance (PPM) has become more complex in China as the competition for pavement preservation funds has grown and the need to justify decisions has increased. Therefore, the life cycle cost analysis (LCCA) has increasingly attracted attention from transportation agencies. However, most of previous studies were conducted deterministically or only focused on a single factor, while PPM is apparently affected by many potential sources of uncertainty. The risk-based analysis to investigate potential risks and combined effects of multiple factors is a necessary component of PPM. This paper aims at presenting a risk-based PPM with the probabilistic LCCA for a Chinese highway case. Major analysis variables of different range are examined to probe risks of different scenarios, investigate combined effects of multiple variables and identify an optimal preservation strategy.
AB - Compared to major structural repair or even replacement, preventative preservation of in-service pavements has been more popular in engineering practices, but recently, pavement preventative maintenance (PPM) has become more complex in China as the competition for pavement preservation funds has grown and the need to justify decisions has increased. Therefore, the life cycle cost analysis (LCCA) has increasingly attracted attention from transportation agencies. However, most of previous studies were conducted deterministically or only focused on a single factor, while PPM is apparently affected by many potential sources of uncertainty. The risk-based analysis to investigate potential risks and combined effects of multiple factors is a necessary component of PPM. This paper aims at presenting a risk-based PPM with the probabilistic LCCA for a Chinese highway case. Major analysis variables of different range are examined to probe risks of different scenarios, investigate combined effects of multiple variables and identify an optimal preservation strategy.
KW - life cycle cost analysis
KW - net present values
KW - optimisation
KW - pavement preventative maintenance
KW - probabilistic
KW - risk-based analysis
UR - http://www.scopus.com/inward/record.url?scp=84927739513&partnerID=8YFLogxK
U2 - 10.1080/10298436.2015.1030743
DO - 10.1080/10298436.2015.1030743
M3 - Article
AN - SCOPUS:84927739513
SN - 1029-8436
VL - 18
SP - 11
EP - 25
JO - International Journal of Pavement Engineering
JF - International Journal of Pavement Engineering
IS - 1
ER -