• Smart Structures and Systems
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• 제12권6호
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• pp.661-678
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• 2013

In this paper, a wireless sensing system for structural field evaluation and rating of bridges is presented. The system uses a wireless platform integrated with traditional analogue sensors including strain gages and accelerometers along with the operating software. A wireless vehicle position indicator is developed using a tri-axial accelerometer node that is mounted on the test vehicle, and was used for identifying the moving truck position during load testing. The developed software is capable of calculating the theoretical bridge rating factors based on AASHTO Load and Resistance Factor Rating specifications, and automatically produces the field adjustment factor through load testing data. The sensing system along with its application in bridge deck rating was successfully demonstrated on the Evansville Bridge in West Virginia. A finite element model was conducted for the test bridge, and was used to calculate the load distribution factors of the bridge deck after verifying its results using field data. A confirmation field test was conducted on the same bridge and its results varied by only 3% from the first test. The proposed wireless sensing system proved to be a reliable tool that overcomes multiple drawbacks of conventional wired sensing platforms designed for structural load evaluation of bridges.

• Smart Structures and Systems
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• 제24권4호
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• pp.507-524
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• 2019

A Bayesian dynamic linear model (BDLM) is presented for a data-driven analysis for response prediction and load effect separation of a revolving auditorium structure, where the main loads are self-weight and dead loads, temperature load, and audience load. Analyses are carried out based on the long-term monitoring data for static strains on several key members of the structure. Three improvements are introduced to the ordinary regression BDLM, which are a classificatory regression term to address the temporary audience load effect, improved inference for the variance of observation noise to be updated continuously, and component discount factors for effective load effect separation. The effects of those improvements are evaluated regarding the root mean square errors, standard deviations, and 95% confidence intervals of the predictions. Bayes factors are used for evaluating the probability distributions of the predictions, which are essential to structural condition assessments, such as outlier identification and reliability analysis. The performance of the present BDLM has been successfully verified based on the simulated data and the real data obtained from the structural health monitoring system installed on the revolving structure.

• Structural Engineering and Mechanics
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• 제82권1호
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• pp.69-79
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• 2022

This paper discusses the field testing of two single-span double-tee girder (DTG) bridges in South Dakota to determine live load distribution factors (LLDFs) and the dynamic load allowance (IM). One bridge had seven girders and another had eight girders. The longitudinal girder-to-girder joints of both bridges were deteriorated in a way that water could penetrate and the joint steel members were corroded. A truck traveled across each of the two bridges at five transverse paths. The paths were tested twice with a crawl speed load test and twice with a dynamic load. The LLDFs and IM were determined using strain data measured during the field tests. These results were compared with those determined according to the AASHTO Standard and the AASHTO LRFD specifications. Nearly all the measured LLDFs were below the AASHTO LRFD design LLDFs, with the exception of two instances: 1) An exterior DTG on the seven-girder bridge and 2) An interior DTG on the eight-girder bridge. The LLDFs specified in the AASHTO Standard were conservative compared with the measured LLDFs. It was also found that both AASHTO LRFD and AASHTO Standard specifications were conservative when estimating IM, compared to the field test results for both bridges.

• 한국도로학회논문집
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• 제3권3호
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• pp.147-158
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• 2001

콘크리트포장의 구조적 능력을 평가하는 가장 중요한 요소 중의 하나는 하중전달효과이다. 하중전달효과는 슬래브 상 하부 온도차, 다우월바 시공여부, 포장 노후도, 그리고 균열틈 등에 영향을 받는다. 본 연구의 목적은 콘크리트 포장의 하중전달효과 특성을 파악하고 하중전달효과에 영향을 주는 요소를 정량화하고 적절한 하중전달효과 조사방법을 제시하는 것이다. 연구결과 하중전달효과는 슬래브 표면온도가 아닌 슬래브 평균온도 영향을 받는 것으로 나타났다. 하중전달효과는 온도가 내려가고 균열틈이 벌어질수록 감소하는 것으로 나타났다. 다우월바를 시공한 구간의 경우 온도변화에 따라 하중전달효과는 큰 차이를 보이지 않은 반면, 다우월바를 시공하지 않은 구간에서는 온도가 내려갈수록 하중전달효과는 급격히 감소하였다. 다우월바를 시공한 구간이라도 포장이 노후화되면 하중전달효과는 온도가 하락함에 따라 감소하는 것으로 나타났다. 본 조사대상 구간에서는 슬래브 단위온도 하락시 하중전달효과는 1.4% 감소하는 것으로 나타났다.

• 한국지반공학회논문집
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• 제21권10호
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• pp.113-122
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• 2005

신뢰성 기반의 한계상태설계법(Limit State Design; LSD)의 지반공학적 적용은 세계적으로 확산추세이며, 북미지역의 경우 일부 시방서에 하중 및 저항에 의한 LRFD 설계법이 지반공학적 설계에 적용되고 있다. 그러나 지금까지 제안되어 온 지반공학적 저항계수는 상당히 포괄적인 값이며, 이와 관련된 연구는 아직까지 초기단계라 할 수 있다. 콘관입시험은 대표적인 현장시험으로 특히 말뚝 설계에서 유용하게 활용되고 있으며, 다양한 말뚝 지지력 산정법이 제시되어 왔다. 본 연구에서는 콘관입시험을 이용한 항타 말뚝 지지력 평가를 위한 저항계수를 산정하고자 한다. 이를 위하여 여러 지역에서 수행된 말뚝재하시험과 콘관입시험 결과를 수집하여 확률적 분석을 수행하였으며, 이를 종합하여 저항계수 산정에 적용하였다. 본 연구에서는 전체지지력뿐만 아니라 말뚝의 선단 및 주면 지지력 각각에 대한 저항계수 또한 도출하고자 하였다. 저항계수 산정 결과, 목표신뢰도지수 $2.0{\sim}2.5$의 범위에서 전체지지력에 대한 저항계수 $0.35{\sim}0.55$범위를 나타내었다.

• 콘크리트학회지
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• 제2권2호
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• pp.63-72
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• 1990

In this study, an optimization design of reinforced concrete structures is performed by using the structural optimization techniques based on the LRFD criteria. The target reliability index is estimated by the optimal reliability index considering the expected cost which is taken as a sum of the structural cost and the expected costs due to failure of the structure. The load and resistance factors calculated by using level I reliability theory with the target reliability index are compared for each load combination (D+L, D+L+w). The results of this study show that the resistance factors are ${\phi}_{M}$=0.90, ${\phi}_{V}$==0.70, ${\phi}_{C}$==0.65 and the load factors are 1.20D + 1.70L, 1.07L + 0.07L + 1.10W. The optimization techinques used to this study are S.L.P. The optimization design based on the LRFD criteria is more economical and rational than other criteria.

• 산업기술연구
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• 제2권
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• pp.3-11
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• 1982

Reliability analysis methods have been employed in this study to determine the safety index ${\beta}$ for flexure associated with reinforced concrete designs that are in accordance with current USD code of Korea. In reliability analysis, the mean first-order second-moment methods are employed. The following specific conclusions can be drawn from this study; 1) Levels of safety for reinforced concrete design, measured by ${\beta}$, vary from 2.8 to 3.8 in flexure depending on the limit state, the ratio of live load to dead load and the uncertainties. 2) Target reliability ${\beta}$ associated with reinforced concrete beams in flexure is assumed to be 3.5~4.0 in Korea. 3) Load factors and resistance factors in flexure associated with the current provisions contained in USD code generally seem to be too high. The writer concluded the factors as following; ${\phi}=0.8,\;{\gamma}_D=1.1\;{\gamma}_L=1.75$.

• 드라이브 ㆍ 컨트롤
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• 제19권1호
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• pp.16-25
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• 2022

The purpose of this study was to calculate and analyze the engine load factor of major agricultural operations using a 78 kW class agricultural tractor for estimating the emission of air pollutants and greenhouse. Engine load data were collected using controller area network (CAN) communication. Main agricultural operations were selected as plow tillage (PT), rotary tillage (RT), baler operation (BO), loader operation (LO), driving on soil (DS), and driving on concrete (DC). The engine power was calculated using the measured engine load data. A weight factor was applied to load factor for considering usage ratio according to agricultural operations. Weight factors for different agricultural operations were calculated to be 27.4%, 32.9%, 17.5%, 7.7%, 4.5%, and 10.0% for PT, RT, BO, LO, DS, and DC, respectively. As a result of the field test, load factors were 0.74, 0.93, 0.41, 0.23, 0.27, and 0.21 for PT, RT, BO, LO, DS, and DC, respectively. The engine load factor was the highest for RT. Finally, as a result of applying the weight factor for usage ratio of agricultural operations, the integrated engine load factor was estimated to be 0.63, which was about 1.31 times higher than the conventional applied load factor of 0.48. In future studies, we plan to analyze the engine load factor by considering various horsepower and working conditions of the tractor.

• 한국산업안전학회:학술대회논문집
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• 한국안전학회 1997년도 추계 학술논문발표회 논문집
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• pp.145-150
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• 1997

In this thesis, the field test by truck load and the structural analysis were performed on a preflex beam bridge to investigate the load carrying capacity. From the field test and the structural analysis results, K(corrective factor) and $P_n$(load carrying capacity) of the preflex beam bridges were studied, and these factors were applied to the load carrying capacity assessment of the preflex bridges.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2008년도 추계학술대회A
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• pp.481-484
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• 2008

The important factor to evaluate the running safety of a railway vehicle would be the interaction force between wheel and rail(derailment coefficient), for which is one of important factors to check the running safety of a railway vehicle that may cause a tragic accident. Element that analyze derailment coefficient is consisted of wheel load and lateral force. In this paper, studied about method that calculate vertical force(wheel load) by bending load of axle in rolling stocks.