• Korean Journal of Construction Engineering and Management
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• v.3 no.4 s.12
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• pp.123-131
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• 2002

The M&R(Maintenance & Repair) budgeting system for domestic military facilities based incremental budgeting model has caused many problems due to the difference between M&R requirement and budget, so military facility become early deterioration. this study proposes the application method of foreign M&R budgeting model for domestic military facility to improve current M&R budgeting system. In order to investigate the current status and problem of M&R budgeting system, this study reviewed various literature related characteristics and types of the foreign M&R budgeting model. The interview was performed for domestic military facility official. The model would greatly improve the current M&R budgeting process for the domestic military facilities.

• Korean Journal of Construction Engineering and Management
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• v.13 no.5
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• pp.3-11
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• 2012

The most of domestic bridge has an used life under 30 years, Future maintenance budgets can be expected to increase. However, because of bridge maintenance budgets are limited, demand for asset management being performed to achieve required performance within available budget is increasing. To perform effective asset management of bridges should be made the best use of information to occur in all phase of construction project. Therefore, the development of system and DB is required to support asset management by effective information management. The objective of this study is the development of the BIM-based bridge asset management model. Through previous research survey, BIM capabilities and asset management components were established and mutual linkages were examined. Bridge asset management model was composed of alternate assessment model. In addition, BIM-based asset management model was performed case studies to verify feasibility and applicability. The proposed model can be applied to a current bridge maintenance procedures and supported to perform effective bridge maintenance tasks within a limited budget.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.420-420
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• 2018

하천법에서 정의하고 있는 하천시설은 시설은 제방과 수문을 포함하여 20여종에 달한다. 이 중 하천유지 보수 매뉴얼(국토교통부, 2016)에서 정한 유지관리 대상은 총 14종이며, 국가 및 지방하천 정비와 유지관리에 4대강살리기사업 완료 시점인 2012년 이후 연간 약 1.3조원의 예산을 투입하고 있다. 연간 막대한 예산이 투입되어 관리되고 있는 하천관리의 효율성을 제고하기 위해 하천시설에 대한 생애주기관리기법적용 연구가 진행 중이며 이를 위해서는 하천시설의 성능에 대한 정확한 평가가 선행되어야 한다. 본 연구에서는 배수통문에 대한 성능평가모델을 산정하는 방법을 제시하였다. 우선적으로 배수통문의 설치년도와 시설물안전등급을 조사하고 등급별 평균사용연수를 산정하고 시설물 성능예측 기본식의 계수를 산정하여 성능평가모델 산정식을 도출하였다. 배수통문 성능평가모델 산정식과 등급별 평균 사용연수를 비교하여 산정식의 적용성을 검증하였다. 본 연구를 통해 하천시설의 사용연수에 따른 성능을 개략적으로 예측하여 유지관리예산 투입의 우선 순위를 결정하는데 기초자료로 활용이 가능하다고 판단된다.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.489-490
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• 2011

사회기반 시설물들의 노후화로 유지보수 비용이 급격하게 증가하고 있는 선진국뿐만 아니라 국내에서도 시설물을 체계적으로 관리하여 안전사고를 예방하고 유지관리 예산을 절감하고자 하는 관심이 날로 증대하고 있다. 해외의 뉴질랜드, 호주, 캐나다, 미국, 영국 등의 나라에서는 공공시설물 유지관리에 자산개념을 도입하여 관련 법과 제도를 정비하고 대웅적 유지관리방식보다 자산의 가치 중심의 예방적 유지관리로 전환하여 일정 부분 성과를 내고 있다. 국내에서도 시설물을 체계적으로 관리하여 안전사고를 예방하고 유지관리 예산을 절감하고자 하는 관심이 날로 증대하고 있다. 이에 IIMM의 자산관리 업무절차 모델과 국내에서 제시된 KTAM-40을 비교하여 공공시설물 자산관리 정보시스템의 설계방안을 제시하고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.16 no.5
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• pp.29-39
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• 2012

The main objective is to predict the future degradation and maintenance budget for a suspension bridge system. Bayesian inference is applied to find the posterior probability density function of the source parameters (damage indices and serviceability), given ten years of maintenance data. The posterior distribution of the parameters is sampled using a Markov chain Monte Carlo method. The simulated risk prediction for decreased serviceability conditions are posterior distributions based on prior distribution and likelihood of data updated from annual maintenance tasks. Compared with conventional linear prediction model, the proposed quadratic model provides highly improved convergence and closeness to measured data in terms of serviceability, risky factors, and maintenance budget for bridge components, which allows forecasting a future performance and financial management of complex infrastructures based on the proposed quadratic stochastic regression model.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.1
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• pp.33-40
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• 2016

In this study, using the Cost Prediction Model and Performance Prediction Model have developed a way to estimate future management costs and performance for bridge and tunnel by Network Level. Studies to date have primarily focused on the single facility, it is difficult to apply to the analysis of the Network Level. This study, items used as an index of 'Special Act for the Safety Control of Public Structures' was added to Usability and Functionality to Status. Action period and annual budget for each facility can be estimated through the Basic and Advanced analysis. In addition, we verified the technical feasibility through case analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.130-137
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• 2017

To maintain traffic safety during the target lifetime of bridges, it is essential to secure an appropriate maintenance budget and allocate that budget appropriately. This paper proposes a reasonable budget allocation system that considers various impact factors to improve the conventional budget allocation method simply considering the bridge scale. The maintenance action rate model and the unit cost model based on the prior maintenance history were developed to allocate appropriately the bridge maintenance budget for the total bridges of the management organization with the target management level. A method to determine the optimal budget allocation ratio for each management subject was proposed and case analysis was conducted using the proposed model. Proper budget allocation was made considering the bridge types, current safety level, and service life as well as the bridge size as an impact factor of the budget allocation of the bridge. The developed method can prevent budget waste and provide a rational basis for budget allocation by implementing the rational budget distribution.

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.4
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• pp.87-96
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• 2017

It is important to estimate the future maintenance budget of all SOC infrastructure at the national strategic level. In this study, Based on a currently available statistics data, we predicted future maintenance investment for all SOC infrastructure in Korea. We have studied the applicable prediction models, and we developed the prediction models that can calculated the future maintenance cost by a real expenditure date. The subjects of facilities are bridges, tunnels, pavements, harbors, dams, airports, water supply, rivers and port. As a result of total estimated cost, eight types of SOC infrastructures are about 23 trillion won for the next 10years, and the most expensive facilities are road pavements and bridges.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.298-298
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• 2020

하천 혹은 그 인근에 설치된 시설물은 수문, 통문, 제방, 댐, 보, 배수펌프장, 상·하수도, 하구둑 등이 존재한다. 이러한 하천 시설물은 홍수나 가뭄 등 수해를 저감하는 역할을 한다. 그러나 많은 하천 시설물은 노후화, 기후변화, 하천환경변화 등으로 구조적 혹은 기능적 안정성의 저하가 우려되는 실정이다. 시설물 유형별 고령화율을 살펴보면, 댐, 하천, 상하수도 순으로 조사되었으며, 준공연수가 30년을 초과한 하천 시설물은 약 40%를 넘어섰다. 그럼에도 불구하고 하천시설물의 관리 구조는 시설물 설치단계까지만 치중되었으며, 이후 계획 재수립 단계까지의 평가 및 모니터링, 유지관리, 정보관리 등에 이르는 선순환 구조가 미흡한 실정이다. 시설물의 노후화에 따라 유지관리 비용이 증가하며, 대형사고로 이어질 수 있기 때문에 적절한 시기에 시설물 점검 및 유지보수가 매우 중요하다. 우리나라의 경우 시설물의 안전 및 유지관리에 관한 특별법에 따라 국가주요시설물은 안전점검을 실시하고 있으며, 시설물통합정보관리시스템(Facility Management System; FMS)에 안전등급을 제공하고 있다. 본 연구에서는 FMS의 하천 시설물 안전등급 현황을 기반으로 시설물의 효과적인 생애주기관리를 위해 하천 시설물의 성능평가모델을 제안하였다. 성능평가모델은 하천 시설물의 사용연수에 따른 안전등급의 예측이 가능하며, 관리자 측면에서 예산투입 등의 의사결정 시 활용이 가능할 것으로 판단된다.

• Korean Journal of Construction Engineering and Management
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• v.18 no.2
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• pp.108-116
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• 2017

It is expected that the maintenance cost of domestic bridges will increase considerably due to the increase of bridge service time. In response to this situation, the government and relevant ministries are focusing on developing ways to efficiently allocate limited budgets and to rationally select maintenance bridge. In this study, to develop a risk - based bridge maintenance priority decision model, 14 common risk factors causing damage to bridges were extracted and AHP analysis was performed to select 5 important factors. Based on the existing literature review and expert consultation, we derive the evaluation criteria and the impact weights of the selected factors, and based on this, I presented risk based bridge maintenance priority model. Using this model in combination with existing maintenance priority methods will lead to more reasonable bridge maintenance priorities.