• Smart Structures and Systems
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• 제6권5_6호
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• pp.423-438
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• 2010

Wireless smart sensors enable new approaches to improve structural health monitoring (SHM) practices through the use of distributed data processing. Such an approach is scalable to the large number of sensor nodes required for high-fidelity modal analysis and damage detection. While much of the technology associated with smart sensors has been available for nearly a decade, there have been limited numbers of fulls-cale implementations due to the lack of critical hardware and software elements. This research develops a flexible wireless smart sensor framework for full-scale, autonomous SHM that integrates the necessary software and hardware while addressing key implementation requirements. The Imote2 smart sensor platform is employed, providing the computation and communication resources that support demanding sensor network applications such as SHM of civil infrastructure. A multi-metric Imote2 sensor board with onboard signal processing specifically designed for SHM applications has been designed and validated. The framework software is based on a service-oriented architecture that is modular, reusable and extensible, thus allowing engineers to more readily realize the potential of smart sensor technology. Flexible network management software combines a sleep/wake cycle for enhanced power efficiency with threshold detection for triggering network wide operations such as synchronized sensing or decentralized modal analysis. The framework developed in this research has been validated on a full-scale a cable-stayed bridge in South Korea.

• Steel and Composite Structures
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• 제31권6호
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• pp.575-589
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• 2019

The main focus of this study is to numerically investigate the influence of strong earthquake and tsunami-induced wave impact on the response and behavior of a cable-stayed steel bridge with large caisson foundations, by assuming that the earthquake and the tsunami come from the same fault motion. For this purpose, a series of numerical simulations were carried out. First of all, the tsunami-induced flow speed, direction and tsunami height were determined by conducting a two-dimensional (2D) tsunami propagation analysis in a large area, and then these parameters obtained from tsunami propagation analysis were employed in a detailed three-dimensional (3D) fluid analysis to obtain tsunami-induced wave impact force. Furthermore, a fiber model, which is commonly used in the seismic analysis of steel bridge structures, was adopted considering material and geometric nonlinearity. The residual stresses induced by the earthquake were applied into the numerical model during the following finite element analysis as the initial stress state, in which the acquired tsunami forces were input to a whole bridge system. Based on the analytical results, it can be seen that the foundation sliding was not observed although the caisson foundation came floating slightly, and the damage arising during the earthquake did not expand when the tsunami-induced wave impact is applied to the steel bridge. It is concluded that the influence of tsunami-induced wave force is relatively small for such steel bridge with large caisson foundations. Besides, a numerical procedure is proposed for quantitatively estimating the accumulative damage induced by the earthquake and the tsunami in the whole bridge system with large caisson foundations.

• Wind and Structures
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• 제27권6호
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• pp.399-416
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• 2018

In order to reveal the independent relationship between track irregularity and wind loads, the stochastic characteristics of train-bridge coupling systems subjected to wind loads were investigated by the multi-sample calculation. The vehicle was selected as 23 degrees of freedom dynamical model, and the bridge was described by three-dimensional finite element model. It was assumed that the wind loads were random processes with strong spatial correlation, while the track irregularities were stationary random ones. As a case study, a high-speed train running on a cable-stayed bridge subjected to wind loads was studied. The effect of rail irregularities was deemed to be independent of the effect of wind excitations on the coupling system in the same wind circumstance for the same project, leading to the conclusion that the effect of wind loads and moving vehicle could be calculated separately. The variance results of the stochastic responses of vehicle-bridge coupling system under the action of wind loads and rail irregularities together were equivalent to the sum of the variance of the responses induced by each excitation. Therefore, when one of the input excitations is different, only the effect of changed loads needs to be assessed. Moreover, the new calculated results were combined with the effect of unchanged loads to present the stochastic response of coupling system subjected to the different excitations, reducing the cost of computations. The stochastic characteristics, the CFD (cumulative distribution function) of the coupling system with different wind velocities, vehicle speed, and vehicle marshalling were studied likewise.

• 국제강구조저널
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• 제18권4호
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• pp.1191-1199
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• 2018

Concepts of submerged floating tunnels (SFTs) for land connection have been continuously suggested and developed by several researchers and institutes. To maintain their predefined positions under various dynamic environmental loading conditions, the submerged floating tunnels should be effectively moored by reasonable mooring systems. With rational mooring systems, the design of SFTs should be confirmed to satisfy the structural safety, fatigue, and operability design criteria related to tunnel motion, internal forces, structural stresses, and the fatigue life of the main structural members. This paper presents a feasibility study of a submerged floating tunnel moored by an inclined tendon system. The basic structural concept was developed based on the concept of conventional cable-stayed bridges to minimize the seabed excavation, penetration, and anchoring work by applying tower-inclined tendon systems instead of conventional tendons with individual seabed anchors. To evaluate the structural performance of the new type of SFT, a hydrodynamic analysis was performed in the time domain using the commercial nonlinear finite element code ABAQUS-AQUA. For the main dynamic environmental loading condition, an irregular wave load was examined. A JONSWAP wave spectrum was used to generate a time-series wave-induced hydrodynamic load considering the specific significant wave height and peak period for predetermined wave conditions. By performing a time-domain hydrodynamic analysis on the submerged floating structure under irregular waves, the motional characteristics, structural stresses, and fatigue damage of the floating tunnel and mooring members were analyzed to evaluate the structural safety and fatigue performance. According to the analytical study, the suggested conceptual model for SFTs shows very good hydrodynamic structural performance. It can be concluded that the concept can be considered as a reasonable structural type of SFT.

• 한국구조물진단유지관리공학회 논문집
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• 제26권5호
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• pp.43-48
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• 2022

본 논문에서는 신축량이 크고 내구성이 우수한 모듈러 신축이음장치의 내진성능을 평가하기 위해 지진응답 거동해석과 지진거동모사실험을 수행하였다. 지진응답 거동해석은 한국(KS), 미국(AASHTO LRFD), 그리고 유럽(Eurocode)의 설계기준 응답스팩트럼을 적용하여 인공지진파를 생성하였다. 해석대상 교량은 경간 1,000m 사장교를 대상으로 각 기준에 대해 세가지의 인공지진파를 생성하였으며, 지진거동모사실험은 축방향과 횡방향의 동적 유압가력기를 사용하여 인공지진파를 재현하였다. 실험결과 축방향, 횡방향 및 양방향에 인공지진파를 재하하였을 때 신축이음의 거동 이상이나 파괴는 발생하지 않았으며, 신축이음장치의 지진거동에 대한 내구성 및 안전성을 확인하였다.

• Smart Structures and Systems
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• 제29권1호
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• pp.77-91
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• 2022

Various monitoring systems have been implemented in civil infrastructure to ensure structural safety and integrity. In long-term monitoring, these systems generate a large amount of data, where anomalies are not unusual and can pose unique challenges for structural health monitoring applications, such as system identification and damage detection. Therefore, developing efficient techniques is quite essential to recognize the anomalies in monitoring data. In this study, several machine learning techniques are explored and implemented to detect and classify various types of data anomalies. A field dataset, which consists of one month long acceleration data obtained from a long-span cable-stayed bridge in China, is employed to examine the machine learning techniques for automated data anomaly detection. These techniques include the statistic-based pattern recognition network, spectrogram-based convolutional neural network, image-based time history convolutional neural network, image-based time-frequency hybrid convolution neural network (GoogLeNet), and proposed ensemble neural network model. The ensemble model deliberately combines different machine learning models to enhance anomaly classification performance. The results show that all these techniques can successfully detect and classify six types of data anomalies (i.e., missing, minor, outlier, square, trend, drift). Moreover, both image-based time history convolutional neural network and GoogLeNet are further investigated for the capability of autonomous online anomaly classification and found to effectively classify anomalies with decent performance. As seen in comparison with accuracy, the proposed ensemble neural network model outperforms the other three machine learning techniques. This study also evaluates the proposed ensemble neural network model to a blind test dataset. As found in the results, this ensemble model is effective for data anomaly detection and applicable for the signal characteristics changing over time.

• 대한토목학회논문집
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• 제42권3호
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• pp.323-331
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• 2022

PS 긴장재의 긴장률, 온도 그리고 자속투과율의 상호관계가 실험적으로 조사되었다. 자속투과율은 두 지점 사이의 자속이 통과하는 비율이다. 실험에 사용된 긴장재는 케이블 교량에 주로 사용되는 ϕ7 mm 고강도 강선과 PSC 긴장재로 사용되는 ϕ12.7 mm 강연선이다. 다양한 도입 긴장률과 온도 조건하에서 강선과 강연선의 자속투과율 실험이 수행되었다. 실험결과로부터, PS 긴장재의 자속투과율은 도입 긴장률에 선형 비례하고, 온도에 선형 반비례함을 알 수 있다. PS 긴장재의 자속투과율-온도-긴장률 사의의 실험적 관계를 미리 알게 되면, 현장에서 PS 강재의 자속투과율과 온도만을 계측함으로써, PS 긴장재의 현재 긴장응력 수준을 변형률 계측 없이 직접 평가할 수 있다.

• 한국전산구조공학회논문집
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• 제36권1호
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• pp.49-56
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• 2023

기술의 발전에 따라 전 세계적으로 교량은 대형화되고 있으며, 또한 노후 교량의 수도 급격히 증가하고 있다. 이들 대형, 노후 교량에 대한 구조건전성 모니터링은 대형 사고 예방을 위해 필수적이다. 본 연구에서는 LoRa LPWAN 기반 무선계측시스템의 적용에 대한 연구를 수행하였으며, 전남 신안군에 위치한 천사대교의 사장교 구간에 LoRa 무선계측시스템을 구축하였다. 교량의 주탑, 케이블, 보강거더에 대하여 계측시스템을 구축하여 기구축되어 운영 중인 유선기반 모니터링 시스템과 성능 및 경제성을 비교하여 LoRa LPWAN 기반 무선 모니터링 시스템의 대형 교량에서의 적용성을 검토하였다.

• Smart Structures and Systems
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• 제31권1호
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• pp.57-68
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• 2023

Bridge hangers, such as those in suspension and cable-stayed bridges, suffer from cumulative fatigue damage caused by dynamic loads (e.g., cyclic traffic and wind loads) in their service condition. Thus, the identification of damage to hangers is important in preserving the service life of the bridge structure. This study develops a new method for condition assessment of bridge hangers. The tension force of the bridge and the damages in the element level can be identified using the Bayesian optimization method. To improve the number of observed data, the additional mass method is combined the Bayesian optimization method. Numerical studies are presented to verify the accuracy and efficiency of the proposed method. The influence of different acquisition functions, which include expected improvement (EI), probability-of-improvement (PI), lower confidence bound (LCB), and expected improvement per second (EIPC), on the identification of damage to the bridge hanger is studied. Results show that the errors identified by the EI acquisition function are smaller than those identified by the other acquisition functions. The identification of the damage to the bridge hanger with various types of boundary conditions and different levels of measurement noise are also studied. Results show that both the severity of the damage and the tension force can be identified via the proposed method, thereby verifying the robustness of the proposed method. Compared to the genetic algorithm (GA), particle swarm optimization (PSO), and nonlinear least-square method (NLS), the Bayesian optimization (BO) performs best in identifying the structural damage and tension force.

• 대한토목학회논문집
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• 제26권2A호
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• pp.293-300
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• 2006

일반적으로 부식된 부재의 두께를 측정하는 데는 많은 불확실성이 존재하며, 부식의 진행정도에 따라 부재의 부식 두께는 측정 위치마다 다르므로, 기존의 신뢰성 해석 방법을 사용하여 모든 불확실성을 고려한 정량적인 안전도를 평가하는 것은 실질적으로 불가능하다. 따라서 본 논문에서는 불확실 신뢰도 기법을 적용한 안전도 분석 절차를 제안하였으며, 효율성과 적용성을 검토하기 위하여 국내 공용중인 사장교에 적용하였다. 심하게 부식된 부재의 잔존 두께의 불확실성은 부식이 진행되는 정도에 따라 증가하므로 부재의 부식 두께를 불확실 정도로 표현되는 불확실 구간으로 표현하였으며, 기존의 신뢰성 기법과 불확실 신뢰도 기법의 비교를 수행하였다. 이러한 불확실 신뢰도 기법은 주관적이거나 조건부 독립에 대한 통계적 판단을 이용하여, 부식된 구조물의 안전도 평가나 위험도 평가를 하는 경우에 유용하여 적용할 수 있을 것으로 판단된다.