• Title/Summary/Keyword: Integrity Estimation

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Integrity Assessment of Asphalt Concrete Pavement System Considering Uncertainties in Material Properties (재료 물성치의 불확실성을 고려한 포장구조체의 건전성 평가)

  • Yi, Jin-Hak;Kim, Jae-Min;Kim, Young-Sang;Moon, Sung-Ho
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2007.04a
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    • pp.49-54
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    • 2007
  • Structural integrity assessment technique for pavement system is studied considering the uncertainties among the material properties. The artificial neural networks technique is applied for the inverse analysis to estimate the elastic modulus based on the measured deflections from the FWD test. A computer code based on the spectral element method was developed for the accurate and fast analysis of the multi-layered soil structures, and the developed program was used for generating the training and testing patterns for the neural network. Neural networks was applied to estimate the elastic modulus of pavement system using the maximum deflections with and without the uncertainties in the material properties. It was found that the estimation results by the conventiona1 neural networks were very poor when there exist the uncertainties and the estimation results could be significantly improved by adopting the proposed method for generating training patterns considering the uncertainties among material properties.

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Integrity test and depth estimation of deep foundations (깊은 기초의 건전도시험과 근입깊이 조사)

  • Jo Churl-hyun;Jung Hyun-key;Lee Tai-sup;Kim Hag-soo
    • 한국지구물리탐사학회:학술대회논문집
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    • 1999.08a
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    • pp.202-216
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    • 1999
  • The deep foundation is frequently used for the infrastructures. Since the quality control of the cast-in-place concrete foundations such as CIP piles and slurry walls is not so easy as that of the ready made PC(prestressed concrete) piles, it is necessary to get the information on the integrity of the concrete of the foundation. The depth estimation of foundations whose depths are unknown is also very important in repair and reinforcement works or in safety inspection and assessment to the big structures. The cross-hole sonic logging(CSL) system and the single channel reflection seismic measurement system were developed to test the integrity of pile. The former is well applied to CIP structures, while the later to all kinds of piles with less accurate result compared to that of CSL. To estimate the depth of the deep foundations, parallel seismics, borehole RADAR, and borehole magnetics can be used.

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Estimation of Hardening Layer Depths in Laser Surface Hardening Processes Using Neural Networks (레이져 표면 경화 공정에서 신경회로망을 이용한 경화층 깊이 예측)

  • Woo, Hyun Gu;Cho, Hyung Suck;Han, You Hie
    • Journal of the Korean Society for Precision Engineering
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    • v.12 no.11
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    • pp.52-62
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    • 1995
  • In the laser surface hardening process the geometrical parameters, especially the depth, of the hardened layer are utilized to assess the integrity of the hardening layer quality. Monitoring of this geometrical parameter ofr on-line process control as well as for on-line quality evaluation, however, is an extremely difficult problem because the hardening layer is formed beneath a material surface. Moreover, the uncertainties in monitoring the depth can be raised by the inevitable use of a surface coating to enhance the processing efficiency and the insufficient knowledge on the effects of coating materials and its thicknesses. The paper describes the extimation results using neural network to estimate the hardening layer depth from measured surface temperanture and process variables (laser beam power and feeding velocity) under various situations. To evaluate the effec- tiveness of the measured temperature in estimating the harding layer depth, estimation was performed with or without temperature informations. Also to investigate the effects of coating thickness variations in the real industry situations, in which the coating thickness cannot be controlled uniform with good precision, estimation was done over only uniformly coated specimen or various thickness-coated specimens. A series of hardening experiments were performed to find the relationships between the hardening layer depth, temperature and process variables. The estimation results show the temperature informations greatly improve the estimation accuracy over various thickness-coated specimens.

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A Study on the Measurement of Fracture Resistance Characteristics for Steam Generator Tubes (증기발생기 세관의 파괴저항 특성 측정에 관한 연구)

  • Chang Yoon-Suk;Huh Nam-Su;Ahn Min-Yong;Hwang Seong-Sik;Kim Joung-Soo;Kim Young-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.30 no.4 s.247
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    • pp.420-427
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    • 2006
  • The structural and leakage integrity of steam generator tubes should be sustained against all postulated loads even if a crack is present. During the past three decades, most of the efforts with respect to integrity evaluation of steam generator tubes have been focused on limit load solutions but, recently, the applicability of elastic-plastic fracture mechanics was examined cautiously due to its effectiveness. The purpose of this paper is to introduce a testing method to estimate fracture resistance characteristics of steam generator tubes with a through-wall crack. Due to limited thickness and diameter, inevitably, the steam generator tubes themselves were tested instead of standard specimen or alternative ones. Also, a series of three dimensional elastic-plastic finite element analyses were carried out to derive closed-form estimation equations with respect to J-integral and crack extension for direct current potential drop method. Since the effectiveness of $J_{IC}$ as well as J-R curves was proven through comparison with those of standard specimens taken from pipes, it is believed that the proposed scheme can be utilized as an efficient tool for integrity evaluation of cracked steam generator tubes.

Distance Attenuation of Bending Wave to Analyze the Loose Parts Impact Signal (금속파편 충격 신호분석을 위한 굽힘파의 거리 감쇠)

  • Lee, Jeong-Han;Park, Jin-Ho
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.5
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    • pp.594-601
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    • 2016
  • Mass estimation analysis of loose-parts in pressure vessel is necessary for the structural integrity assessment of pressure boundary in nuclear power plants. Mass of loose-parts can be generally estimated from the peak values and the center frequency of impact signals. Magnitude of impact signals is, however, inevitably attenuated according to the traveling distance of the signals and depending on the frequencies. Attenuation rate must be therefore carefully compensated for the precise estimation of loose-part mass. This paper proposes a new compensation method for the attenuation rate based on Bessel function instead of Hankel function in conventional method which has a limitation of usage in near the impact location. It was verified that the suggested compensating equation based on the Bessel function can be applied to the attenuation rate calculation without any limitation.

The Study on Autonomous State Estimator for Smart Grid (스마트그리드를 위한 자율형 상태관측기 연구)

  • Park, Jong-Chan;Lee, Se-In
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.60 no.1
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    • pp.32-36
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    • 2011
  • In this study, authors have proposed the autonomous state estimation which has been composed with IEC61850, GPS time synchronization and objective model design concept. The proposed method is able to supervise/correct measurement and communication error from SCADA. The major advantages of the proposed autonomous state estimation are that it is possible to evaluate integrity of data measured and transferred from SCADA, to reduce human intervention and to expense national-size applications such as EMS (Energy Management System), WAMS (Wide Area Monitoring System) or WAPS (Wide Area Protection System). This study addresses the issues related to the operation of the smart grid and proposes a new automated approach to achieve this goal. Through applying the proposed system to IEEE 14-bus test electric system, we prove the possibility of the proposed idea.

Estimation Accuracy Analysis of GPS Inter-Frequency Biases (GPS 주파수간 편이 추정정확도 분석)

  • Kim, Minwoo;Kim, Jeongrae;Heo, Moonbeom
    • Journal of Aerospace System Engineering
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    • v.4 no.1
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    • pp.19-22
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    • 2010
  • The accuracy and integrity of global navigation satellite systems (GNSS) can be improved by using GNSS augmentation systems. Large ionospheric spatial gradient, during ionosphere storm, is a major threat for using GNSS augmentation systems by increasing the spatial decorrelation between a reference system and users. Ionosphere decorrelation behavior can be analyzed by using dual frequency GPS data. GNSS receivers have their own biases, called inter-frequency bias (IFB) between dual(P1 and P2) frequencies and they must be accurately estimated before computing ionosphere delays. GPS network data in Korea is used to compute each receiver's IFB, and their estimation accuracy and variability are analyzed. IFB estimation methodology to apply for ionosphere gradient analysis is discussed.

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The Study of the Position Estimation for an Autonomous Land Vehicle

  • Lim, Ho;Park, Chong-Kug
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.2
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    • pp.239-246
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    • 2004
  • In this paper, we develop and implement a high integrity GNC(Guidance, Navigation, and Control) system, based on the combined use of the Global Positioning System (GPS) and an Inertial Measurement Unit (IMU), for autonomous land vehicle applications. This paper highlights guidance for the predetermined trajectory and navigation with detection of possible faults during the fusion process in order to enhance the integrity of the navigation loop. The implementation of the GNC system to the autonomous land vehicle presented with fault detection methodology considers high frequency faults from the GPS receiver caused by shadowing and multipath error The implementation, based on a low-cost, strapdown INS aided by standard GPS technology, is described. The results of the field test in the urban environment are presented and showed effectiveness of the GNC system.

Probabilistic Estimation of the Fatigue Strength of an Electric Car Bogie Frame (전동차 대차 프레임의 확률론적 피로강도 평가)

  • 서정원;구병춘;김남포;유원희;정흥채
    • Proceedings of the KSR Conference
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    • 2001.10a
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    • pp.261-266
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    • 2001
  • Bogie frame of the electric car is an important structural member for the support of vehicle leading. In general, more than 25 years' durability is necessary. A lot of study has been carried out for the prediction of the structural integrity of the bogie frame in experimental and theoretical domains. One of the useful methods is reliability-based approach. The objective of this paper is to estimate the structural integrity of the bogie frame of an electric car, which is under the running test. We used two approachs. In the first approach probabilistic distribution of S-N curve is used. In the second approach, limit state function is used.

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Measurement of Ultrasonic Wave Velocity Changes in Silica-Sand Specimens with Voids (공극을 포함한 실리카샌드 시편의 초음파 속도변화 측정)

  • Kim, Dae-You;Rhim, Hong-Chul;Cho, Youn-Jin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2017.05a
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    • pp.48-49
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    • 2017
  • In order to examine the effect of voids on the ultrasonic wave velocity, specimens made of Silica-Sand with voids were prepared for the measurements. The volume fraction of 0, 15, and 30% of voids were used to compare the differences. Because of its more homogeneous distribution of materials properties, the Silica-Sand specimens were used, as compared to mortar specimens. The results showed clear change in ultrasonic wave velocity with different volume fraction of voids. This result is to be used for the estimation of the integrity of concrete structures using ultrasonic wave velocity method as nondestructive testing.

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