RESEARCH PAPER
A statistical data-based approach to instability detection and wear prediction in radial turning processes
1
Tecnalia R&I Industry and Transport Division Paseo Mikeletegui 7, Donostia-San Sebastin, 20009, Spain
2
University of the Basque Country (UPV/EHU) Manuel Lardizabal Ibilbidea 1, Donostia-San Sebastin, 20018, Spain
Publication date: 2018-09-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2018;20(3):405-412
KEYWORDS
ABSTRACT
Pavement maintenance management poses a significant challenge for highway agencies in terms of pavement deterioration over
time and limited financial resources to keep the road condition at an acceptable level. In this paper two probabilistic maintenance
models are proposed and compared for pavement deterioration and maintenance processes to evaluate different maintenance
strategies. Firstly, the states of pavement condition are defined using the features of different pavement maintenance works, instead
of using the traditional method of cumulative service index rating. Secondly, a Markovian model is presented to describe the pavement deterioration and maintenance process with some constraints on the number of interventions, the effect of interventions and
etc. But for the complex scenarios, such as non-Markovian deterioration, dependencies between the different types of interventions
and the usage of emergency maintenance for roads when the required budget for maintenance is unavailable, a simulation-based
Petri-net model is built up to investigate the whole life-cycle evolution. Two examples are used to illustrate and compare the proposed models to demonstrate the merits and disadvantages of each model and its applicable conditions.
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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