• 한국안전학회지
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• 제30권1호
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• pp.52-59
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• 2015

The aim of the paper is to introduce the statistical definition of the specified compressive strength of the concrete to be used for safety evaluation of the existing structure in domestic practice and to present the practical method to obtain the specified strength by utilizing the non-destructive test data as well as the limited number of core test data. The statistical definition of the specified compressive strength of concrete in the design codes is reviewed and the consistent formulations to statistically estimate the specified strength for assessment are described. In order to prevent estimating an unrealistically small value of the specified strength due to limited number of data, it is proposed that the information from the non-destructive test data is combined to that of the minimum core test data. The the sample mean, standard deviation and total number of concrete test are obtained from combined test data. The proposed procedures are applied to an example test data composed of the artificial numerical values and the actual evaluation data collected from the bridge assessment reports. The calculation results show that the proposed statistical estimation procedures yield reasonable values of the specified strength for assessment by applying the non-destructive test data in addition to the limited number of core test data.

• 터널과지하공간
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• 제7권1호
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• pp.75-83
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• 1997

The interest of diagnosis and maintenance of construction is increasing due to the collapse of infastructures. To obtain the complete, reliable and reproducible data ont he state of the entire structure, various non-destructive techniques are available, Especially, specific constructional characteristics of tunnels make the application of non-destructive tests more difficult. Despite of the complications of these conditions, non-destructive techniques should be capable of providing a description of the state of the tunnel lining, without the removal of the tunnel installations. In this paper, the infrared thermography technique using the difference of surface temperature was studied. The optimum equipment was selected and introduced, the principle, testing method and data anlaysis were investigated. Also, through the case study for inspection of concrete tunnel lining, this technique has proven to be a valuable non-destructive test for detecting the defects such as crack, leakage of water and exfoliation of concrete. The applicability and usefulness of this technique for estimation of concrete tunnel lining have been conformed.

• Geomechanics and Engineering
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• 제25권4호
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• pp.317-330
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• 2021

This paper reports the results of advanced data analysis involving artificial neural networks for the prediction of the unconfined compressive strength of granite using only two non-destructive test indexes. A data-independent site-independent unbiased database comprising 182 datasets from non-destructive tests reported in the literature was compiled and used to train and develop artificial neural networks for the prediction of the unconfined compressive strength of granite. The results show that the optimum artificial network developed in this research predicts the unconfined compressive strength of weak to very strong granites (20.3-198.15 MPa) with less than ±20% deviation from the experimental data for 70% of the specimen and significantly outperforms a number of available models available in the literature. The results also raise interesting questions with regards to the suitability of the Pearson correlation coefficient in assessing the prediction accuracy of models.

• 자동차안전학회지
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• 제13권2호
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• pp.50-56
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• 2021

The purpose of this study is to investigate vulnerable parts of tower crane structures by analyzing extensive non-destructive test data. Approximately ten percent of domestically registered tower cranes were inspected by using magnetic particle inspection. The testing was carried out as advised in KS B 0213. The non-destructive results was analyzed with respect to jib types, age and crane size. As a result, the number of crack occurrences were the largest in mast parts, followed by main jib part. Moreover, it was found that turntables were important parts deserved to be noticed at the perspective of safe maintenance.

• Journal of Welding and Joining
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• 제17권6호
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• pp.100-107
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• 1999

In this paper, we deal with the speckle noise reduction and parameter estimation of ultrasonic NDT(non-destructive test) signals obtained during weld inspection of piping. The overall approach consists of three major steps, namely, speckle noise analysis, proposition of wavelet domain AR(autoregressive) model and flaw detection by proposed model parameter. The data are first processed whereby signals obtained using vertical and angle beam transducer. Correlation properties of speckle noise are then analyzed using multiresolution analysis in wavelet domain. The parameter estimation curve obtained using the proposed model is classified a flaw in weld region where is contaminated by severe speckle noise and also clear flaw signal is obtained through CA-CFAR threshold estimator that is a nonlinear post-processing method for removing the noise from reconstructed ultrasonic signal.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 가을 학술발표회 논문집
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• pp.385-390
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• 2000

In this study, the Non-Destructive Testing Equipment was introduced for the compaction control and the evaluation of pavements properties and the developing process was showed. Falling Weight Deflectometer(FWD) is a system for performing non-destructive testing of pavement and the other foundation structures. The system develops forces from the acceleration caused by the arrest of a falling weight and these forces are transmitted onto the surface of a structure causing it to deflect much as it would due to the weight of a passing wheel load. The structure will bend downward and exhibit a deflection basin. FWD uses a set of velocity sensors to determine the amplitude and shape of the deflection basin. The deflection response, when related to the applied loading, can provide information about the strength and condition of the various elements of the test structure. In this study, a computer program was developed that can be used to evaluate pavement and foundation structures from the data produced by FWD. The Falling Weight Deflectometer, non-destructive testing equipment, is increasing used at the whole world.

• Journal of the Korean Wood Science and Technology
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• 제32권4호
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• pp.74-81
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• 2004

비파괴 시험 방법 중 초음파 방법을 이용하여, 목재의 열화상태를 진단하였다. 기초 자료로서, 목재 내 온도변화에 따른 초음파 전송속도의 변화, 목재 내 함수율변화에 따른 초음파 전송속도 변화, 목재 강제부후에 의한 중량감소와 초음파 전송속도 변화를 검토하였다. 또한 원목의 비파괴 시험 등을 수행하고, 초음파 전송속도에 근거한 부후분포도를 작성하여 고목재의 열화 진단을 하였다. 일련의 시험들을 통하여 비파괴 방법에 의한 목재 열화진단을 위한 데이터를 축적하고, 이를 고목재에 적용하여 목재 내부의 부후분포도를 작성함으로써 금후 고목재의 비파괴 방법에 의한 부후탐지의 가능성을 검토하였다.

• 농업과학연구
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• 제39권1호
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• pp.111-116
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• 2012

Nondestructive evaluation of seed viability is one of the highly demanding technologies for seed production industry. Conventional seed sorting technologies, such as tetrazolium and standard germination test are destructive, time consuming, and labor intensive methods. Near infrared spectroscopy technique has shown good potential for nondestructive quality measurements for food and agricultural products. In this study, FT-NIR spectroscopy was used to classify normal and artificially aged lettuce seeds. The spectra with the range of 1100~2500 nm were scanned for lettuce seeds and analyzed using the principal component analysis(PCA) method. To classify viable seeds from nonviable seeds, a calibration modeling set was developed with a partial least square(PLS) method. The calibration model developed from PLS resulted in 98% classification accuracy with the Savitzky-Golay $1^{st}$ derivative preprocessing method. The prediction accuracy for the test data set was 93% with the MSC(Multiplicative Scatter Correction) preprocessing method. The results show that FT-NIR has good potential for discriminating non-viable lettuce seeds from viable ones.

• 한국건축시공학회지
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• 제16권3호
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• pp.229-235
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• 2016

현장에서는 콘크리트 공사시 거푸집 탈형작업을 위한 다양한 기술들이 활용되고 있다. 그중에서 콘크리트의 압축강도추정을 위한 비파괴 시험방법에는 다양한 방법들이 제시되고 있지만, 일반적으로 타격법(반발경도법이라 칭함)과 비타격법(초음파법이라 칭함)을 활용한 시험방법이 주로 활용된다. 비파괴시험에 의한 압축강도의 추정은 경험 값에 의한 방정식에 의하여 계산할 수 있으며 다양한 식들이 제시되고 있으나, 초기재령에서 조기강도가 발현되는 콘크리트에 대한 데이터는 적은 편으로 기존의 강도추정식에 의한 압축강도의 계산에는 한계점이 있을 수 있다. 본 연구에서는 현장에서 주로 활용되는 조기탈형용 콘크리트의 배합을 활용하여 소형 공시체 및 Mock-up 시험체의 파괴 및 비파괴검사를 수행하였으며, 기존 비파괴검사 추정식을 통한 강도 결과 값을 분석하였다. 실험결과, 기존 연구의 비파괴시험에 의한 제안식을 활용한 압축강도 추정값은 파괴시험방법에 비하여 하회하는 경향으로 70% 이하의 값을 나타냈으며, 초음파속도에 의한 신뢰성은 강도가 높아질수록 낮아지는 것으로 확인되었다. 본 연구의 범위에서 조기강도 발현 콘크리트의 강도추정에 있어 기존식의 활용의 한계점이 있을 것으로 분석되어, 24~60MPa의 콘크리트를 대상으로 반발경도법 및 초음파속도법에 의한 추정식을 제안하였다.

• 한국해양공학회지
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• 제15권1호
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• pp.73-78
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• 2001

Soundness evaluation of a structure being constructed under the sea is usually difficult. In this study, a cross-hole sonic logging(CSL) which have been used for non-destructive test of concrete piles is adopted for the integrity test and monitoring of DCM(deep cement mixing) treated soils. Chemical and physical characteristics of raw ground materials are analysed to delineate ground environmental effects on the strength of DCM treated soils. In order to convert cross-hole sonic logging data into compressive strength, correlations between compressive strengths and wave velocities of core samples have been obtained. It is found that there is little effect of ground environment on the strength of the DCM treated soils, and the density distribution of core samples and cross-hole logging data show that a defective zone may exist in the DCM treated soils. With the time lapse, however, the defective zone has been cured and consequently, compressive strength of the DCM treated soils increases and satisfies the design parameter. From this study it can be concluded that the cross-hole sonic logging can be used for the integrity test as well as monitoring the curing stage of the structures, successfully.