Developing A Semi-Markov Process Model for Bridge Deterioration Prediction in Shanghai
نویسندگان
چکیده
منابع مشابه
Concrete Bridge Deterioration Prediction using Markov Chain Approach
Condition monitoring diagnosis of distress and forecasting deterioration, strengthening and rehabilitation of aging bridge structures is a challenge faced by many road authorities in the world. The accurate prediction of the future condition of bridge elements is essential for optimising the maintenance activities. Most authorities conduct regular condition inspection activities followed by a h...
متن کاملA Bridge Management Strategy Based on Future Reliability and Semi-markov Deterioration Models
This paper introduces the outline of a bridge management strategy based on the prediction of future bridge reliability using a semi-Markov deterioration model. This approach applies equally well to single bridges and to a whole network, and is expected to be implemented in the Bridge Management System (BMS) of the Autonomous Province of Trento (APT). More in detail, the model assumes the lifesp...
متن کاملBridge Performance Prediction Model Using the Markov Chain
As part of a study to develop a comprehensive bridge management system for the Indiana Department of Highways (IDOH), a bridge performance prediction model using the Markov chain was developed. The model can be used to predict the percentages of bridges with different condition ratings as well as to develop performance curves of bridges. The Markov chain, a probability-based method, was used in...
متن کاملChapter 8 SEMI - MARKOV PROCESS
In many (if not most) real-world applications, the arrival of customers to a service center is not well described by renewal processses. Quite often, the times between successive arrivals are correlated, whereas renewal processes have independent interarrival times. A natural generalization is the class of semiMarkov processes (SMP), which when specifically applied to the arrival of customers a...
متن کاملThe Hierarchical Dirichlet Process Hidden Semi-Markov Model Citation
There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the traditional HMM. However, in many settings the HDP-HMM’s strict Markovian constraints are undesirable, particularly if we wish to learn or encode non-geometric state durations. We can extend the HDP-HMM to capture such structure by drawing upon explicit...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sustainability
سال: 2019
ISSN: 2071-1050
DOI: 10.3390/su11195524