Life-Cycle Cost Analysis for Infrastructure Systems: Life-Cycle Cost vs. Safety Level vs. Service Life

Author(s):  
Hitoshi Furuta ◽  
Takahiro Kameda ◽  
Yoshiko Fukuda ◽  
Dan M. Frangopol
2018 ◽  
Vol 196 ◽  
pp. 04079 ◽  
Author(s):  
Edyta Plebankiewicz ◽  
Krzysztof Zima ◽  
Damian Wieczorek

The paper deals with the issue of the life cycle cost in the construction. It also focuses on the part of the model for the calculation of the life cycle cost of buildings with consideration of the risk that allows the calculation of the life cycle cost of buildings with different lifetimes. For the construction of this part of the model, the authors used the life cycle equivalent annual cost indicator (LCEAC). The operation of this part of the model was presented on the example of three scenarios of the life cycle of pneumatic sports halls for which the estimated service life of the building (ESLB) was ranged from 19 to 30 years.


2014 ◽  
Vol 20 (6) ◽  
pp. 441-446
Author(s):  
O. During ◽  
K. Malaga

Abstract The aim of this study is to perform a life cycle cost analysis (LCC), where the economic cost of extending service life by the impregnation of bridge edge beams is compared to the reparation of an edge beam. Previous economic analyses on bridge edge beams had shown that there was no clear economic benefit in impregnating the edge beams. However, results from this study pointed out that in most cases there is a clear economic benefit to impregnate the bridge edge beams even if it has to be repeated every 15 years.


Author(s):  
Leanne Whiteley ◽  
Susan Tighe ◽  
Zhanmin Zhang

This paper describes a recent research study that examined how changes in design life affected the pavement life-cycle cost and ultimately how the reduction in or addition to life-cycle cost attributed to superior or inferior in-service performance could be used as a basis for establishing a pay factor for a performance-based specification. Previous models were developed with data from the Canadian Long-Term Pavement Performance Program, which indicated that overlay thickness, total prior cracking, annual freezing index, annual days with precipitation, and accumulated equivalent single-axle loads (ESALs) after 8 years affected the slope of pavement deterioration for asphalt overlay pavements. One of these models, as well as data from the U.S. Long-Term Pavement Performance test sites, is used to determine the service life of asphalt overlay pavements. This paper examines how the variability associated with overlay thickness, total prior cracking, and accumulated ESALs after 8 years affects the service life of asphalt overlay pavements. Furthermore, this paper considers the variability associated with the discount rate and incorporates all associated variability into the life-cycle cost analysis (LCCA). LCCA is performed by using Monte Carlo techniques. On the basis of a recent study, distributions for service life and life-cycle costs are developed by using both normal and lognormal distributions for overlay thickness. With the LCCA values for typical design lives, a sensitivity analysis is subsequently performed to evaluate the impact of 10%, 20%, and 30% differences in the in-service performance as compared to the design life. These LCCA differences are then used as a basis for establishing pay factors. Overall the paper attempts to relate design to in-service performance life-cycle cost and the ultimate use of pay factors.


2018 ◽  
Vol 10 (10) ◽  
pp. 3642 ◽  
Author(s):  
Elena Fregonara ◽  
Diego Ferrando

The durability of components is characterized by uncertainty, and, consequently, their estimated service life is critical for building project evaluation. Data on the durability of components used as life cycle cost analysis (LCCA) model input are able to influence model construction, model outputs, and residual value calculations. This implies dealing with uncertainty in cost estimates, according to the real estate market dynamics and the economic trends of the construction sector, and in service life estimates during the project time-horizon. This paper acknowledges the methodology presented in previous studies, based on the stochastic global cost calculation. The aim is to propose a methodological step forward by introducing flexibility over time in model input, through a stochastic approach to the Factor Method (FM). This represents an advancement in respect to the FM normed by ISO 15686—part 1:2000. Two different frames, timber and aluminum, as components of a glass façade of an office building project (located in Turin, Northern Italy), are proposed as a case study. The results give full evidence of the capacity of lifespan variables to affect the global cost calculation, overcoming the effects of environmental and financial elements, in contrast with the consolidated literature. The study demonstrates that beta and gamma distributions are preferable when introducing flexibility over time during the building construction processes, confirming the literature on the topic. The methodology adopted is demonstrated to be an effective tool when in presence of alternative investment options, enforcing decision-making in a temporal perspective.


2011 ◽  
Vol 4 (5) ◽  
pp. 158-161 ◽  
Author(s):  
A. Morfonios A. Morfonios ◽  
◽  
D. Kaitelidou D. Kaitelidou ◽  
G. Filntisis G. Filntisis ◽  
G. Baltopoulos G. Baltopoulos ◽  
...  

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