• Title/Summary/Keyword: 주요 손상

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Detection of Structural Damage from Measured Acceleration (측정 가속도를 사용한 구조 손상 진단)

  • 곽임종
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 1997.04a
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    • pp.144-151
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    • 1997
  • 구조물로부터 측정된 가속도 시간이력을 이용하여 구조손상을 찾아내고 평가하는 기법을 제시하였다. 구조계의 손상을 찾아내는 알고리즘의 주요한 수단으로써 parametric system identification 방법을 사용하였고 매개변수화된 구조물의 최적 매개변수를 추정하기 위해 구속된 비선형 최적화기법을 사용하였다. 손상된 부재를 분리하기 위한 방법으로서 적합적 매개변수 모음법을 적용하였고 손상의 정도를 통계적으로 평가하기 위하여 측정된 가속도 시간이력에 time window 기법을 적용하였다. 가속도 이력 측정에 있어서의 불충분성과 측정오차를 고려하여 알고리즘을 개발하였고, 조화진동하중으로 구조물을 가진하여 구조 손상을 진단하는 수치모의 실험을 실시하였다.

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Seismic Fragility Analysis by Key Components of a Two-pylon Concrete Cable-stayed Bridge (2주탑 콘크리트 사장교의 주요 부재 지진 취약도 분석)

  • Shin, Yeon-Woo;Hong, Ki-Nam;Kwon, Yong-Min;Yeon, Yeong-Mo
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.4
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    • pp.26-37
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    • 2020
  • This study intends to present a fragility analysis method suitable for concrete cable-stayed bridges by performing an analysis reflecting design criteria and material characteristics from the results of inelastic time-history analysis. In order to obtain the fragility curve of the cable-stayed bridge, the limit state of the main component of the cable-stayed bridge is determined, and the damage state is classified by comparing it with the response value based on inelastic time history analysis. The seismic fragility curve of the cable-stayed bridge was made by obtaining the probability of damage to PGA that the dynamic response of the vulnerable parts to input ground motion would exceed the limit state of each structural member. According to the pylon's fragility curve, the probability of moderate damage at 0.5g is 32% for the longitudinal direction, while 7% for the transversal direction, indicating that the probability of damage in the longitudinal direction is higher in the same PGA than in the transversal direction. The seismic fragility curve of the connections showed a very high probability of damage, meaning that damage to the connections caused by earthquakes is very sensitive compared to damage to the pylon and cables. The cable's seismic fragility curve also showed that the probability of complete damage state after moderate damage state gradually decreased, resulting in less than 30% probability of complete damage at 2.0g.

Ageing Assessments of Nuclear Components (원자력발전소 기기의 노화손상 평가)

  • 박인규
    • Journal of the KSME
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    • v.33 no.5
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    • pp.414-420
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    • 1993
  • 원자력 발전소의 운전환경에 따른 노화손상은 발전소 운전 내력에 연류된다. 통상SCC는 40년 또는 40년 이하의 수명을 가정하여 이에 따른 설계 여유도나 안전 계수를 기초로 하여 설계된다. 그러나 설계여유도나 안전계수는 운전중 변경될 수도 있다. 원자력 발전소 기기의 변경될 수도 있다. 원자력 발전소 기기의 수명평가를 위해서는 초기설계치 및 잔여수명이나 실제 설계치의 변화 등을 평가하여야 한다. 주요 물성치 및 손상 매개변수의 실제 변경 상황은 수명기간 설정에 근간이 된다. SSC의 수명평가를 위해 재료의 노화손상은 철저히 파악되어야 한다. 또한 기계적 하중, 열적하중 등의 노화 촉진요인과 정상운전 및 시험도 노화손상에 영향을 미치므로 이들에 대해 상세 평가를 수행하여야 한다. 수명평가는 운전환경 및 노화촉진요인들과 밀접한 관련이 있으므로, SSC의 수명을 평가하기 위해서는 이러한 복잡한 변수들 사이의 연관관계를 구체적 으로 고려하여야 한다. 그러므로 SSC의 수명을 평가하기 위해서는 이러한 복잡한 변수들 사이의 연관관계를 구체적으로 고려하여야 한다. 그러므로 SSC의 설계, 제작, 설치, 시험, 운전상태 및 보수주기 등에 대한 정보파악이 선행되어야 한다.

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Probabilistic Life Assessment for Stress Corrosion Crack Growth of Thermal Power Plant Components (화력발전설비의 응력부식 균열성장에 대한 확률론적 수명평가)

  • Gang, Myeong-Su
    • Korean Journal of Materials Research
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    • v.10 no.2
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    • pp.138-143
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    • 2000
  • 화력발전설비의 주요 손상 요인 중의 하나인 응력부식 균열 성장에 대한 확률론적 잔존 수명평가에 대하여 연구하였으며, 손상해석 및 수명평가에 확률해석 기법을 도입한 확률론적 수명평가 프로그램을 개발하였다. 확률론적 수명평가는 재료물성치, 형상, 하중조건, 운전조건 등과 같은 불확실성과 변동 가능성을 고려하여 해석을 수행하며, 일정 시간 운전후 구조물의 손상이 일어날 확률을 예측하는 것이다. 응력부식 균열 성장에 대한 확률론적 잔존 수명평가 연구를 통하여 확률론적 수명평가 기술의 기반을 구축하였으며, 다른 손상기구에 대한 확률론적 수명평가를 수행하여 발전설비에 발생하는 모든 손상에 대하여 확률론적 수명평가가 가능하도록 확대할 계획이다.

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An Assessment of the Excavation Damaged Zone in the KAERI Underground Research Tunnel (원자력연구원 내 지하처분연구시설의 암반 손상대 발생영향 분석)

  • Kim, Jin-Seop;Kwon, Sang-Ki;Cho, Won-Jin
    • Explosives and Blasting
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    • v.27 no.1
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    • pp.21-31
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    • 2009
  • An excavation damaged zone (EDZ) is created by fracturing, excavation or stress redistribution of tunnels. In this zone the mechanical and hydraulic properties of rock are changed, which makes additional cracks and serves as a dominant pathway of groundwater flow. In this study, an assessment on an EDZ size was practiced by the measurement of the deformation modulus at the KAERI underground research tunnel (KURT), and the information was applied to the modelling analysis using FLAC2D software. The EDZ at KURT fell into the range of 0.6~1.8m and the deformation moduli of the EDZ generally correspond to about 40% of intact rock mass. With a consideration of the EDZ in numerical analysis, tunnel displacements increased by about 65% and the maximum principal stress decreased to 58% from the case without EDZ. The plastic zone of the tunnel was enlarged to the crown and invert zones of the tunnel within the range of the length of rock bolts. About 2% of the total tunnel displacement with EDZ was suppressed by the KURT support system. It is anticipated that the investigation of an EDZ can be used as an important and fundamental research for validating the overall performance of a high level waste disposal system.

Structural Damage Detection by Using the Time-Reversal Process of Lamb Waves and the Imaging Method (Lamb파의 시간-반전과정 및 이미지기법을 이용한 손상탐지)

  • Jun, Yong-Ju;Lee, U-Sik
    • Journal of the Korean Society for Railway
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    • v.14 no.4
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    • pp.320-326
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    • 2011
  • This paper proposes a baseline-free SHM technique in which the time-reversal process of Lamb waves and the imaging method are used. The proposed SHM technique has three distinct features when compared with the authors' previously proposed one: (1) It use the reconstructed signal for damage diagnosis, without need to extract the damage signal as the difference between reconstructed signal and initial input signal; (2) It use the imaging method based on the time-offlight information from the reconstructed signal, instead of using a pattern comparison method; (3) In order to make the damage image more clear, the modified mathematical definition of damage image in a pixel is used. The proposed SHM technique is evaluated through the damage detection experiment for an aluminum plate with damage at different locations.

Electrophysiological Changes after Low-Power Infrared Laser Irradiation on Injured Rat Sciatic Nerves (손상된 흰쥐의 좌골신경에 저출력 레이저 조사후 전기생리학적 변화)

  • Bae Chun-Sik;Shin Soo-Beom;Kim Kweon-Young
    • Journal of Life Science
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    • v.16 no.1
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    • pp.114-119
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    • 2006
  • The purpose of this study was to determine effects of the Ga-As (Gallium-Arsenide) Dens-Bio laser on mechanically injured sciatic nerves of rats. The improvement of the injured rat sciatic nerve was evaluated by measuring of nerve conduction velocity and amplitude of compound muscle action potential. The sciatic nerves of forty male Sprague-Dawley rats were compressed with hemostatic forceps for 30 seconds. The experimental group was divided into 4 subgroups according to the duration of treatment. Lower power infrared laser irradiation was done transcutaneously to the injured sciatic nerve area, 3 minutes daily to each of four treatment groups for 1, 3, 5, and 7 weeks, respectively. Compound muscle action potential and nerve conduction velocity of sciatic nerve were obtained before nerve injury and at 1, 3, 5, and 7 weeks after injury. There were significant difference of the nerve conduction velocity and amplitudes of compound muscle action potential between the treatment group and non-treatment group at 1, 3, and 5 weeks after laser treatment. However, there were no differences found between the electrophysiologic parameters that were measured after 7 weeks in two groups. There was significant correlation between the increment of compound muscle action potential and nerve conduction velocity after time course according to laser treatment. In conclusion, the low power laser treatment had improved the sciatic nerve function, and therefore these results may provide the basic data to clarify the neurological recovery and treatment after incomplete peripheral nerve injury.

Evaluation of Material Properties of Fire-damaged Concrete Under Post-fire Curing Regimes Using Impact Resonance Vibration Method (충격 공진 기법을 이용한 화재 손상 콘크리트의 재양생 조건별 재료물성 평가)

  • Park, Sun-Jong;Yim, Hong Jae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.21 no.5
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    • pp.42-48
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    • 2017
  • When concrete structures expose to fire, the structures were damaged accompanied with degradation of material properties of concrete. In order to determine the reuse of fire-damaged concrete structures, it is needed a careful determination considering conditions of fire damage, such as exposure temperature and exposure time, and also potential to restore fire damage. This study investigates on the evaluation of residual material properties of fire-damaged concrete under different post-fire curing regimes. An experimental study was performed on concrete samples to measure the dynamic elastic modulus by the impact resonance vibration method. Upon the experimental results, the evidence of restoration of material properties was confirmed on specific post-fire curing regimes, higher humidity conditions. Additionally, a correlation analysis was performed on the dynamic elastic modulus with the tensile strength for identifying the effects of post-fire curing regimes on both material properties of fire-damaged concrete.

Bridge Damage Factor Recognition from Inspection Reports Using Deep Learning (딥러닝 기반 교량 점검보고서의 손상 인자 인식)

  • Chung, Sehwan;Moon, Seonghyeon;Chi, Seokho
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.38 no.4
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    • pp.621-625
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    • 2018
  • This paper proposes a method for bridge damage factor recognition from inspection reports using deep learning. Bridge inspection reports contains inspection results including identified damages and causal analysis results. However, collecting such information from inspection reports manually is limited due to their considerable amount. Therefore, this paper proposes a model for recognizing bridge damage factor from inspection reports applying Named Entity Recognition (NER) using deep learning. Named Entity Recognition, Word Embedding, Recurrent Neural Network, one of deep learning methods, were applied to construct the proposed model. Experimental results showed that the proposed model has abilities to 1) recognize damage and damage factor included in a training data, 2) distinguish a specific word as a damage or a damage factor, depending on its context, and 3) recognize new damage words not included in a training data.

Research on Factors Affecting General Characteristics, Hospitalization Characteristics that Affect the Occurrence of Injuries and Trauma Patients (손상 및 외상환자 발생에 영향을 미치는 일반적 특성, 입원 특성에 미치는 요인에 관한 연구)

  • Jae Seong Baek;Kwang Hwan Kim
    • Journal of Digital Convergence
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    • v.22 no.1
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    • pp.23-32
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    • 2024
  • This study selected in-depth discharge damage survey data and analyzed 92,364 patients whose main diagnosis was S00-T98 (damage, addiction, and specific other results due to external factors) based on the Korean Standard Classification of Diseases and Deaths (KCD-7th) among patients discharged from the hospital after inpatient treatment from January 2016 to December 2018. As a result of analyzing the general characteristics of injured and traumatic patients, the incidence rate of men was higher in gender, and the incidence rate of women increased as the year increased. As a result of analyzing the characteristics of injury and trauma patients other than injury, the injury intention had a high rate of unintentional damage, the damage place was the highest on the road/road, and it showed a decreasing trend as the year increased, and it showed an increasing trend in the residential area. It can be used as basic data for the establishment of a related system to prevent damage as a result of subsang.