Life Cycle Cost Analysis of Deteriorated Bridge Expansion Joints

Kelly, Aura Lee; Atadero, Rebecca A.; Mahmoud, Hussam

doi:10.1061/(asce)sc.1943-5576.0000407

Cited by 8 publications

(1 citation statement)

References 5 publications

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“…The US Federal Highway Administration (FHWA) was the first to introduce the application of LCC theory in bridge engineering [1]. Then Hawk proposed a LCC analysis method suitable for bridge structures [2]; and Scott et al conducted an in-depth study on decision-making and economic analysis of bridge decks [3][4][5]. At present, commonly-used optimization methods include mathematical planning methods and artificial intelligence optimization methods, wherein the mathematical planning methods generally have the characteristics of unstable solution and slow operation speed [6], and the artificial intelligence optimization methods include Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC) algorithm, etc.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Optimization Algorithm for Maintenance Scheme Based on Life Cycle Cost

Liu¹,

Li²,

Wang³

et al. 2020

JESA

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In engineering practice, to make sure that a project can achieve safe operation while minimizing the overall cost during the whole life cycle, the supervisor of the project generally needs to make optimal decisions for the Life Cycle Cost (LCC) of the project. To this end, this paper adopted Genetic Algorithms (GA) and LCC theory to propose and implement a kind of optimization algorithms suitable for solving maintenance scheme problems. Combining with the selection of three actual maintenance scenarios of "take no maintenance measure/preventive maintenance measures only", "take major maintenance measures", and "take major maintenance measures and preventive maintenance measures", the proposed algorithm adopted real number coding to give optimization solutions from two perspectives of "control service life and calculate cost" and "control cost and calculate service life"; moreover, the paper conducted a comparative analysis on the maintenance schemes of reinforced concrete bridge decks using Matlab and verified the reliability and efficiency of the proposed algorithm. Keywords:life cycle cost (LCC), intelligent optimization, genetic algorithm (GA), optimal solution, maintenance scheme LCC ANALYSIS OF THE EXAMPLE PROJECT Description of the problemLCC analysis is the basis of engineering projects and scheme optimization, this paper took the reinforced concrete bridge deck as the research object, the initial reliability was set to be β=8.0, the degradation start time was set as T1=15, and Journal Européen des Systèmes Automatisés

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