A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Life-Cycle Cost Based Maintenance of Infrastructure Systems Considering Prediction Uncertainties
In order to establish a rational maintenance program, it is necessary to predict the future changes of structural characteristics and environments. In this paper, an attempt is made to develop a method that can provide us with several practical maintenance plans, considering the prediction uncertainties of the structural capacity and environments. Applying the genetic algorithm developed by Tamaki to the maintenance planning problem, it is possible to obtain practical solutions that are robust to the variety of structural and environmental conditions. Some numerical examples are presented to demonstrate the applicability of the method developed here.
Life-Cycle Cost Based Maintenance of Infrastructure Systems Considering Prediction Uncertainties
In order to establish a rational maintenance program, it is necessary to predict the future changes of structural characteristics and environments. In this paper, an attempt is made to develop a method that can provide us with several practical maintenance plans, considering the prediction uncertainties of the structural capacity and environments. Applying the genetic algorithm developed by Tamaki to the maintenance planning problem, it is possible to obtain practical solutions that are robust to the variety of structural and environmental conditions. Some numerical examples are presented to demonstrate the applicability of the method developed here.
Life-Cycle Cost Based Maintenance of Infrastructure Systems Considering Prediction Uncertainties
Furuta, Hitoshi (author) / Hirokane, Michiyuki (author) / Saito, Makiko (author)
First US-Japan Workshop on Life-Cycle Cost Analysis and Design of Civil Infrastructure Systems ; 2000 ; Honolulu, Hawaii, United States
2001-06-22
Conference paper
Electronic Resource
English
Life-Cycle Cost Based Maintenance of Infrastructure Systems Considering Prediction Uncertainties
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