• Structural Engineering and Mechanics
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• 제53권6호
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• pp.1183-1200
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• 2015

Reinforcement corrosion can cause serious safety deterioration to aging concrete structures exposed in aggressive environments. This paper presents an approach for reliability analyses of deteriorating reinforced concrete structures affected by reinforcement corrosion on the basis of the representative symptoms identified during the deterioration process. The concrete cracking growth and rebar bond strength evolution due to reinforcement corrosion are chosen as key symptoms for the performance deterioration of concrete structures. The crack width at concrete cover surface largely depends on the corrosion penetration of rebar due to the expansive rust layer at the bond interface generated by reinforcement corrosion. The bond strength of rebar in the concrete correlates well with concrete crack width and decays steadily with crack width growth. The estimates of cracking development and bond strength deterioration are examined by experimental data available from various sources, and then matched with symptom-based lifetime Weibull model. The symptom reliability and remaining useful life are predicted from the predictive lifetime Weibull model for deteriorating concrete structures. Finally, a numerical example is provided to demonstrate the applicability of the proposed approach for forecasting the performance of concrete structures subject to reinforcement corrosion. The results show that the corrosion rate has significant impact on the reliability associated with serviceability and load bearing capacity of reinforced concrete structures during their service life.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2011년도 정기 학술대회
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• pp.710-713
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• 2011

본 논문에서는 교량의 주부재에 교량용 고성능강을 적용하여 설계해 본 후, 이러한 적용이 교량의 진동사용성에 어떠한 영향을 미치는지 그 영향을 분석해 보고자 한다. 최근들어 교량상의 구조적인 결함이 없더라도 진동에 의해 교량을 통행하는 운전자나 보행자에게 불안감을 주는 경우가 빈번히 발생하기 때문에 진동사용성이란 문제는 보다 부각되고 있다. 특히 고성능강이 개발되고 이를 교량에 적용하게 되면 허용응력의 증가로 이어져 거더의 형고감소를 가능하게 한다. 그러나 이러한 형고의 감소는 교량의 휨강성을 저하시켜 사용성의 악화를 초래할 것이란 예측이 있었다. 따라서 본 연구는 차량-교량의 상호작용에 의해 발생하는 진동영향의 분석을 위해 유한요소해석 프로그램인 Abaqus 6.10을 이용해 수치해석을 수행하였고 이때의 진동영향을 평가했다. 차량-교량 상호작용의 해석을 위해 ASSHTO 기준의 HS 20-44 차량을 해석 대상교량 위로 주행하도록 하였다. 해석대상교량은 인장강도가 각각 600MPa와 800MPa인 교량용 고성능강재(HSB, High-Performance Steel for Bridge)를 적용하여 주거더를 설계한 강플레이트 거더교를 대상으로 삼았다. 차량이 교량을 통과하면서 발생하는 교량의 경간 중앙부에서 발생하는 수직진동의 시간이력을 분석하여 진동평가의 기준으로 삼았다. 해석결과 HSB600과 HSB800으로 각각 설계된 교량은 가속도이력에서는 큰 차이가 없었으나 변위이력에서는 HSB800적용 교량이 진동사용성 측면에서 매우 불리한 거동을 보였다. 따라서 고성능강 적용에 따른 교량의 진동사용성을 평가하기 위해서는 변위를 기준으로한 평가가 이루어져야하며, 변위의 진동을 제어하기 위한 방안이 모색되어야 할 것으로 판단된다.

• 한국전산구조공학회논문집
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• 제22권4호
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• pp.349-354
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• 2009

초고층 건물의 안전성 및 사용성을 합리적으로 확보하고 유지하기 위해서 부재의 구조 반응 모니터링은 필요하다. 이러한 대형 건물의 건전도 모니터링은 최근 들어 많은 연구자들에 의해서 관심 되어지고 있지만 건물 특성상 계측 대상 부재가 많고 하중과 구조반응의 관계가 복잡하기 때문에 센싱 부재 선정의 어려움으로 그 적용에 한계가 있다. 본 논문에서는 부재의 변위기여도 및 변형에너지밀도를 기반으로 초고층 건물의 안전성 모니터링을 위한 구조반응 계측 부재 선정에 대한 연구를 수행하였다.

• Wind and Structures
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• 제13권6호
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• pp.499-517
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• 2010

Advances in structural materials and construction methods have resulted in flexible and light tall buildings, making an assessment of structural safety during strong wind and serviceability/habitability during comparable medium/weak wind important design criteria. So far, lots of studies on suppressing the wind-induced responses have been carried out for tall buildings with aerodynamic modification. Most of the studies on aerodynamic modification have forced on the corner modification, while the studies on taper and set-back are limited. Changes of sectional shape through taper and set-back can modify the flow pattern around the models, encouraging more 3-dimensionalities, which results in reducing the wind-induced excitations. This paper discusses the characteristics of overturning moments and wind-induced responses of the tall buildings with height variations. The reduction of mean along-wind and fluctuating across-wind overturning moments are apparent in the suburban area than in urban area. A series of the response analyses, the rms displacement responses of the tall buildings with height variations are reduced greatly, while the rms acceleration responses are not necessarily reduced, showing dependences on wind direction.

• Smart Structures and Systems
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• 제14권2호
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• pp.159-189
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• 2014

One of the most important requirements in the evaluation of existing structural systems and ensuring a safe performance during their service life is damage assessment. Damage can be defined as a weakening of the structure that adversely affects its current or future performance which may cause undesirable displacements, stresses or vibrations to the structure. The mass and stiffness of a structure will change due to the damage, which in turn changes the measured dynamic response of the system. Damage detection can increase safety, reduce maintenance costs and increase serviceability of the structures. Artificial Neural Networks (ANNs) are simplified models of the human brain and evolved as one of the most useful mathematical concepts used in almost all branches of science and engineering. ANNs have been applied increasingly due to its powerful computational and excellent pattern recognition ability for detecting damage in structural engineering. This paper presents and reviews the technical literature for past two decades on structural damage detection using ANNs with modal parameters such as natural frequencies and mode shapes as inputs.

• Geomechanics and Engineering
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• 제21권4호
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• pp.379-390
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• 2020

The behavior of a piled raft system in multi-layered soil subjected to vertical loading has been studied numerically using 3D finite element analysis. Initially, the 3D finite element model has been validated by analytically simulating the field experiments conducted on vertically loaded instrumented piled raft. Subsequently, a comprehensive parametric study has been conducted to assess the performance of a combined piled raft system in terms of optimum pile spacing and settlement of raft and piles, in multi-layered soil stratum subjected to vertical loading. It has been found that a combined pile raft system can significantly reduce the total settlement as well as the differential settlement of the raft in comparison to the raft alone. Two different arrangements below the piled raft with the same pile numbers show a significant amount of increase of load transfer of piled raft system, which is in line with the load transfer mechanism of a piled raft. A methodology for the factor of safety assessment of a combined pile raft foundation has been presented to improve the performance of piled raft based on its serviceability requirements. The findings of this study could be used as guidelines for achieving economical design for combined piled raft systems.

• Structural Engineering and Mechanics
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• 제70권5호
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• pp.639-647
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• 2019

The performance of precast concrete structures is greatly influenced by the behaviour of beam-to-column connections. A single connection may be required to transfer several loads simultaneously so each one of those loads must be considered in the design. A good connection combines practicality and economy, which requires an understanding of several factors; including strength, serviceability, erection and economics. This research work focuses on the performance aspect of a specific type of beam-to-column connection using partly hidden corbel in precast concrete structures. In this study, the results of experimental assessment of the proposed beam-to-column connection in precast concrete frames was used. The purpose of this research is to develop and apply the Extreme Learning Machine (ELM) for moment-rotation prediction of precast beam-to-column connections. The ELM results are compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models was accessed based on simulation results and using several statistical indicators.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1166-1169
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• 2009

Bridges are exposed to very severe environment and experience, as service life increased, elevated traffic load and traffic flow, in addition to natural disasters. In comparing to other road structures, bridges may cause more significant damage, such as human-involved accidents, to the society in the event of collapse. A certain level of service shall be necessarily secured to assure the minimum safety of users. The cost for manage and preserve bridges will increase gradually and more restrictions will be loaded to efficiently distribute the limited resources, such as monetary budget and human resource etc. In order to enhance performance and serviceability of bridges with the limited resource, asset management technique has been applied into the bridge management system, which capitalizes the road infrastructures including bridges and assess them in accordance with the government finance report. In the application of asset management, there must be a tool for assess the performance of bridges and this study introduces the basic information on the definition and role of performance measures for asset management for bridges. This research suggests future development direction of performance measure for asset management for bridges in Korea.

• 한국가스학회지
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• 제18권3호
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• pp.44-52
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• 2014

높은 지가로 인해 초기 설치투자비가 많이 필요한 수도권의 경우 간이 주유취급소는 광범위하게 보급할 수 있는 큰 잠재력을 가지고 있다. 본 연구에서는 향후 국내에 설치 보급될 수 있는 간이 주유취급소에 대하여 편의성 및 안전성을 갖는 합리적인 시설기준을 제시하고자 하였다. 이를 위해 현실적으로 간이 주유취급소에서 발생할 수 있는 상황을 고려한 누출 시나리오를 선정하고, 피해예측 프로그램인 PHAST v.6.5를 이용하여 화재 및 폭발 사고의 피해범위를 산출하고, 그 피해영향을 해석하였다. 위험성 평가결과를 바탕으로, 간이 주유취급소의 주유공지, 전용탱크 상한용량, 고정주유설비 설치위치 및 방화벽 높이에 대한 기준을 현행 위험물안전관리법상의 일반 주유취급소와 비교하여 제안하였다.

• Computers and Concrete
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• 제24권6호
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• pp.541-553
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• 2019

Alkali-silica reaction (ASR) in concrete can induce degradation in its mechanical properties, leading to compromised serviceability and even loss in load capacity of concrete structures. Compared to other properties, ASR often affects the modulus of elasticity more significantly. Several empirical models have thus been established to estimate elastic modulus reduction based on the ASR expansion only for condition assessment and capacity evaluation of the distressed structures. However, it has been observed from experimental studies in the literature that for any given level of ASR expansion, there are significant variations on the measured modulus of elasticity. In fact, many other factors, such as cement content, reactive aggregate type, exposure condition, additional alkali and concrete strength, have been commonly known in contribution to changes of concrete elastic modulus due to ASR. In this study, an artificial intelligent model using artificial neural network (ANN) is proposed for the first time to provide an innovative approach for evaluation of the elastic modulus of ASR-affected concrete, which is able to take into account contribution of several influence factors. By intelligently fusing multiple information, the proposed ANN model can provide an accurate estimation of the modulus of elasticity, which shows a significant improvement from empirical based models used in current practice. The results also indicate that expansion due to ASR is not the only factor contributing to the stiffness change, and various factors have to be included during the evaluation.