Practical Use of Bridge Management Systeam by Improved Genetic Algorithm

Furuta, Hiroyuki; Kameda, Takahiro; Nakahara, Koichiro

doi:10.2208/jsceja.62.656

Cited by 4 publications

(5 citation statements)

References 1 publication

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“…Therefore, the purpose of planning is to minimize the maintenance cost under the circumstances. The performance of component to sustain the safety is more than 0.8 as well as the previous research (Furuta et al 2006). This is because the purpose of this paper is to verify the applicability of planning method through numerical examples.…”

Section: Figure 2breakdown Of Construction Pricementioning

confidence: 72%

“…In this study, the coding of gene is defined as shown in Figure 4 (Furuta et al 2006). In the coding, a gene of individual is separated into two parts of repair method and interval.…”

Section: Figure 3 Effect Of Preventive Maintenancementioning

confidence: 99%

“…In order to establish a sustainable bridge management, it is important to reduce the life-cycle cost (LCC) of bridges (Furuta et al 2006). A long-term planning for the bridge maintenance is expected to be effective for ensuring the sufficient safety of bridges.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Bridge Maintenance of Large Number of Bridges Using Robust Genetic Algorithm

Furuta

Nakatsu

Ishibashi

et al. 2014

Structures Congress 2014

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In the maintenance planning, LCC (Life-Cycle Cost) can be reduced by treating multiple bridges simultaneously. However, it is difficult for a practical case to establish an optimal plan that reduces LCC because there are a large number of bridges to be maintained. In this study, an attempt is made to propose an optimal planning method for a large number of bridges in two stages by using (GA) Genetic Algorithm. In the first stage, the proposed method optimizes a maintenance plan for single bridge with considering the preventive maintenance. Here, this optimal plan involves some periods in which maintenance works can be postponed without increasing LCC under the same safety condition. Then, in the second stage, the proposed method minimizes the total LCC of a large number of bridges by using each maintenance plan obtained for single bridge, modifying it using such flexible periods involved in the maintenance plan, and calculating the total LCC by summing up the LCC for single bridge. Furthermore, the effects of budget constraints on LCC minimization are discussed. Numerical examples are presented to demonstrate the applicability of the proposed method.

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Section: Figure 2breakdown Of Construction Pricementioning

confidence: 72%

“…In this study, the coding of gene is defined as shown in Figure 4 (Furuta et al 2006). In the coding, a gene of individual is separated into two parts of repair method and interval.…”

Section: Figure 3 Effect Of Preventive Maintenancementioning

confidence: 99%

See 1 more Smart Citation

Optimal Bridge Maintenance of Large Number of Bridges Using Robust Genetic Algorithm

Furuta

Nakatsu

Ishibashi

et al. 2014

Structures Congress 2014

Self Cite

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“…In particular, mediumand long-term management plans have proved to be effective for increasing the transparency of the need for bridge maintenance. Therefore, various studies have been conducted on bridge management (Doebling et al, 1998;Furuta et al, 2006a).…”

Section: Sustainable Bridge Managementmentioning

confidence: 99%

“…Further, this type of plan is optimized to maximize the safety and reduce the LCC in consideration of factors such as repair methods, working years, and number of bridges. Therefore, a genetic algorithm (GA), which is effective for solving combinatorial optimization problems (Goldberg, 1989), has been applied to develop an optimal plan (Furuta et al, 2006a).…”

Section: Introductionmentioning

confidence: 99%

Bridge Maintenance Scheduling in Consideration of Resilience Against Natural Disasters

Ishibashi

Furuta

Nakatsu

2020

Front. Built Environ.

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Multi-stage Optimization for Flexible Bridge Maintenance and Management Planning against Modification of Deterioration Curve

Furuta¹,

Fujikawa²,

Kagawa³

et al. 2015

IABSE Conference, Nara 2015: Elegance in Structures

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<p>In this study, an attempt is made to propose a method for flexible bridge maintenance plans against the modification of deterioration curve by using the multi-stage optimization. Both the minimization of cost and the maximization of structural soundness are important for the maintenance planning. Numerical experiments with 10 bridges were presented to demonstrate that solutions obtained by the proposed method were effective against the uncertainties involved in the financial circumstances and the deterioration prediction.</p>

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Practical Use of Bridge Management Systeam by Improved Genetic Algorithm

Cited by 4 publications

References 1 publication

Optimal Bridge Maintenance of Large Number of Bridges Using Robust Genetic Algorithm

Optimal Bridge Maintenance of Large Number of Bridges Using Robust Genetic Algorithm

Bridge Maintenance Scheduling in Consideration of Resilience Against Natural Disasters

Multi-stage Optimization for Flexible Bridge Maintenance and Management Planning against Modification of Deterioration Curve

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