• Title/Summary/Keyword: Deterioration Assessment

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FINITE ELEMENT MODELING AND PARAMETER STUDY OF HALF-BEAD OF MLS CYLINDER HEAD GASKET

  • CHO S. S.;HAN B. K.;LEE J. H.;CHANG H.;KIM B. K.
    • International Journal of Automotive Technology
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    • 제7권1호
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    • pp.109-114
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    • 2006
  • Half-beads of multi-layer-steel cylinder head gaskets take charge of sealing of lubrication oil and coolant between the cylinder head and the block. Since the head lifts off periodically due to the combustion gas pressure, both the dynamic sealing performance and the fatigue durability are essential for the gasket. A finite element model of the halfbead has been developed and verified with experimental data. The half-bead forming process was included in the model to consider the residual stress effects. The model is employed to assess the dependence of the sealing performance and the fatigue durability on the design parameters of half-bead such as the width and height of bead and the flat region length. The assessment results show that the sealing performance can be enhanced without significant deterioration of the fatigue durability in a certain range of the half-bead width. In the other cases the improvement of sealing performance is accompanied by the loss of the fatigue durability. Among three parameters, the bead width has the strongest influence.

기후 변화에 따른 자기 애자의 시멘트 경도 변화 (Hardness Profiles of Porcelain Insulators by Climate Changes)

  • 이주현;김홍식;김준동;최인혁
    • 한국전기전자재료학회논문지
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    • 제31권1호
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    • pp.24-28
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    • 2018
  • Insulators used in overhead transmission lines are continuously exposed to a number of mechanical and electrical stresses owing to external environmental factors, resulting in corrosion, reduction in durability, and deterioration. Widely used porcelain insulators are fabricated with cement and porcelain and are especially common in Korea. Changes in the hardness and chemical reactivity of the cement increase the leakage and fault currents and increase the possibility of flashover due to insulation breakdown. Therefore, it is important to evaluate the durability and defects of porcelain insulators. Studies on the reliability of various evaluation methods are needed to prevent accidents by accurately determining the replacement timing and potential defects in porcelain insulators. In this study, the hardness of the cement part of the porcelain insulator was measured using the Vickers hardness test and its composition was analyzed by energy dispersive spectroscopy and X-ray diffraction analysis. The performance of the insulators was compared in two different regions with varying climatic conditions. This study presents an evaluation method of the defects in porcelain insulators by measuring humidity, which can also be used to assess the reliability of the insulators.

ANN-Clustering을 이용한 상수관로 노후도 평가 (Water Pipe Deterioration Assessment Using ANN-Clustering)

  • 이슬민;강두선
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2018년도 학술발표회
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    • pp.110-110
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    • 2018
  • 상수관로의 노후화는 단수유발, 수압부족 및 수질악화, 싱크홀 발생 피해와 누수로 인한 경제적 손실 등을 초래한다. 최근 상수관로의 노후화에 의한 피해가 심각해짐에 따라, 환경부에서는 전국적으로 노후관로를 개량 및 교체하는 작업을 시행하고 있다. 다만, 모든 노후관로를 일시에 보수 및 교체하는 것은 불가능하므로, 사용 중인 관로의 노후도를 정량적으로 판단하여 개량우선순위를 결정해야한다. 현재 국내에서는 '상수도 기술진단' 매뉴얼에 따른 관망성능평가 결과를 이용하여 상수관로의 노후화 정도를 평가하고 있다. 이는 평가항목 별로 기준을 나누어 조건값과 가중치를 부여하고, 총 점수를 합산하여 해당 관로의 평가 점수에 따라 등급을 판정하게 되는 점수평가법이다. 본 연구에서는 기존의 점수평가법과의 비교를 통하여, ANN(Artificial Neural Network)-Clustering 기법이 상수관로의 노후도 평가를 위한 새로운 평가방법이 될 수 있음을 제시하였다. 본 연구는 강원도 Y지역의 상수관로를 대상으로 진행하였으며, 기존의 관망성능평가 항목을 이용하여 전체 관로를 세 가지 등급으로 분류하여 노후도를 평가하였다. 또한 ANN-Clustering방법의 적용 가능성을 판단하기 위하여 기존의 점수평가법 결과와 비교분석을 실시하였으며, 전체 대상관로의 노후도 정도를 직관적으로 파악할 수 있도록 계산된 노후도 등급을 관망도에 도시하였다. ANN-Clustering방법은 관로의 다양한 특성값을 손쉽게 변경하여 적용할 수 있으며, 기존의 점수평가법과 더불어 상수관로의 유지관리를 위한 보다 객관적이고 합리적인 관망성능평가법이 될 수 있을 것으로 기대한다.

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Morphological segmentation based on edge detection-II for automatic concrete crack measurement

  • Su, Tung-Ching;Yang, Ming-Der
    • Computers and Concrete
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    • 제21권6호
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    • pp.727-739
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    • 2018
  • Crack is the most common typical feature of concrete deterioration, so routine monitoring and health assessment become essential for identifying failures and to set up an appropriate rehabilitation strategy in order to extend the service life of concrete structures. At present, image segmentation algorithms have been applied to crack analysis based on inspection images of concrete structures. The results of crack segmentation offering crack information, including length, width, and area is helpful to assist inspectors in surface inspection of concrete structures. This study proposed an algorithm of image segmentation enhancement, named morphological segmentation based on edge detection-II (MSED-II), to concrete crack segmentation. Several concrete pavement and building surfaces were imaged as the study materials. In addition, morphological operations followed by cross-curvature evaluation (CCE), an image segmentation technique of linear patterns, were also tested to evaluate their performance in concrete crack segmentation. The result indicates that MSED-II compared to CCE can lead to better quality of concrete crack segmentation. The least area, length, and width measurement errors of the concrete cracks are 5.68%, 0.23%, and 0.00%, respectively, that proves MSED-II effective for automatic measurement of concrete cracks.

Assessment of cardiac function in syncopal children without organic causes

  • Kim, Heoungjin;Eun, Lucy Youngmin
    • Clinical and Experimental Pediatrics
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    • 제64권11호
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    • pp.582-587
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    • 2021
  • Background: Syncope is a common problem in children and adolescents. However, a large proportion of syncope cases have no underlying cause. Purpose: This study aimed to identify the factors affecting the severity of syncope using tissue Doppler imaging (TDI). Methods: This retrospective study included 61 children and adolescents with syncope who underwent echocardiography. The head-up-tilt test (HUT) was performed when there was a more severe syncopal event. We compared the echocardiographic findings between the execute HUT and nonexecute HUT, negative HUT result and positive HUT result, and normal electrocardiogram (ECG) and abnormal ECG groups. Data were analyzed using an unpaired t test post hoc analysis. Results: In the execute and nonexecute HUT groups, the odds ratios were 0.55 for medial E/E' (P=0.040) and 0.64 for lateral E/E' (P=0.049). Comparison of the results of the decreased, normal, and increased groups for lateral E/E' revealed a significant difference in the execution HUT and nonexecute HUT groups (overall, P=0.004; decreased vs. increased, P=0.003; normal vs. increased, P=0.050). Conclusion: Medial E/E' and lateral E/E' were decreased in patients with severe syncopal events. These findings suggest that the presence of left ventricular diastolic deterioration may cause hypoperfusion even in the absence of organic causes and, consequently, increase syncope severity and frequency. The TDI measured by echocardiography can be used as an index to predict syncope recurrence and/or severity.

Vibration based bridge scour evaluation: A data-driven method using support vector machines

  • Zhang, Zhiming;Sun, Chao;Li, Changbin;Sun, Mingxuan
    • Structural Monitoring and Maintenance
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    • 제6권2호
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    • pp.125-145
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    • 2019
  • Bridge scour is one of the predominant causes of bridge failure. Current climate deterioration leads to increase of flooding frequency and severity and thus poses a higher risk of bridge scour failure than before. Recent studies have explored extensively the vibration-based scour monitoring technique by analyzing the structural modal properties before and after damage. However, the state-of-art of this area lacks a systematic approach with sufficient robustness and credibility for practical decision making. This paper attempts to develop a data-driven methodology for bridge scour monitoring using support vector machines. This study extracts features from the bridge dynamic responses based on a generic sensitivity study on the bridge's modal properties and selects the features that are significantly contributive to bridge scour detection. Results indicate that the proposed data-driven method can quantify the bridge scour damage with satisfactory accuracy for most cases. This paper provides an alternative methodology for bridge scour evaluation using the machine learning method. It has the potential to be practically applied for bridge safety assessment in case that scour happens.

Review, Assessment, and Learning Lesson on How to Design a Spectroelectrochemical Experiment for the Molten Salt System

  • Killinger, Dimitris;Phongikaroon, Supathorn
    • 방사성폐기물학회지
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    • 제20권2호
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    • pp.209-229
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    • 2022
  • This work provided a review of three techniques-(1) spectrochemical, (2) electrochemical, and (3) spectroelectrochemical-for molten salt medias. A spectroelectrochemical system was designed by utilizing this information. Here, we designed a spectroelectrochemical cell (SEC) and calibrated temperature controllers, and performed initial tests to explore the system's capability limit. There were several issues and a redesign of the cell was accomplished. The modification of the design allowed us to assemble, align the system with the light sources, and successfully transferred the setup inside a controlled environment. A preliminary run was executed to obtain transmission and absorption background of NaCl-CaCl2 salt at 600℃. It shows that the quartz cuvette has high transmittance effects across all wavelengths and there were lower transmittance effects at the lower wavelength in the molten salt media. Despite a successful initial run, the quartz vessel was mated to the inner cavity of the SEC body. Moreover, there was shearing in the patch cord which resulted in damage to the fiber optic cable, deterioration of the SEC, corrosion in the connection of the cell body, and fiber optic damage. The next generation of the SEC should attach a high temperature fiber optic patch cords without introducing internal mechanical stress to the patch cord body. In addition, MACOR should be used as the cell body materials to prevent corrosion of the surface and avoid the mating issue and a use of an adapter from a manufacturer that combines the free beam to a fiber optic cable should be incorporated in the future design.

Assessment of seismic damage inspection and empirical vulnerability probability matrices for masonry structure

  • Li, Si-Qi;Chen, Yong-Sheng;Liu, Hong-Bo;Du, Ke;Chi, Bo
    • Earthquakes and Structures
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    • 제22권4호
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    • pp.387-399
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    • 2022
  • To study the seismic damage of masonry structures and understand the characteristics of the multi-intensity region, according to the Dujiang weir urbanization of China Wenchuan earthquake, the deterioration of 3991 masonry structures was summarized and statistically analysed. First, the seismic damage of multistory masonry structures in this area was investigated. The primary seismic damage of components was as follows: Damage of walls, openings, joints of longitudinal and transverse walls, windows (lower) walls, and tie columns. Many masonry structures with seismic designs were basically intact. Second, according to the main factors of construction, seismic intensity code levels survey, and influence on the seismic capacity, a vulnerability matrix calculation model was proposed to establish a vulnerability prediction matrix, and a comparative analysis was made based on the empirical seismic damage investigation matrix. The vulnerability prediction matrix was established using the proposed vulnerability matrix calculation model. The fitting relationship between the vulnerability prediction matrix and the actual seismic damage investigation matrix was compared and analysed. The relationship curves of the mean damage index for macrointensity and ground motion parameters were drawn through calculation and analysis, respectively. The numerical analysis was performed based on actual ground motion observation records, and fitting models of PGA, PGV, and MSDI were proposed.

Deep reinforcement learning for optimal life-cycle management of deteriorating regional bridges using double-deep Q-networks

  • Xiaoming, Lei;You, Dong
    • Smart Structures and Systems
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    • 제30권6호
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    • pp.571-582
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    • 2022
  • Optimal life-cycle management is a challenging issue for deteriorating regional bridges. Due to the complexity of regional bridge structural conditions and a large number of inspection and maintenance actions, decision-makers generally choose traditional passive management strategies. They are less efficiency and cost-effectiveness. This paper suggests a deep reinforcement learning framework employing double-deep Q-networks (DDQNs) to improve the life-cycle management of deteriorating regional bridges to tackle these problems. It could produce optimal maintenance plans considering restrictions to maximize maintenance cost-effectiveness to the greatest extent possible. DDQNs method could handle the problem of the overestimation of Q-values in the Nature DQNs. This study also identifies regional bridge deterioration characteristics and the consequence of scheduled maintenance from years of inspection data. To validate the proposed method, a case study containing hundreds of bridges is used to develop optimal life-cycle management strategies. The optimization solutions recommend fewer replacement actions and prefer preventative repair actions when bridges are damaged or are expected to be damaged. By employing the optimal life-cycle regional maintenance strategies, the conditions of bridges can be controlled to a good level. Compared to the nature DQNs, DDQNs offer an optimized scheme containing fewer low-condition bridges and a more costeffective life-cycle management plan.

산사태 및 토석류 발생에 따른 댐의 기능저하 현상 평가 (Assessment of dam function deterioration by landslides-debris flows: a numerical modeling based on vegetation distribution scenarios)

  • 이승준;안현욱;김민석;고희민
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.139-139
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    • 2023
  • 산사태는 사면에서 발생하는 대표적인 토사재해이다. 그리고 산사태가 발생하여 사면이 붕괴하였을 때 동반되어 나타나는 토석류는 지형 변화의 중요한 원인으로 간주한다. 산사태와 토석류가 도시나 농촌 등 인구가 밀집된 지역에서 발생할 경우 직접적인 인명 피해와 재산 피해를 발생시키며, 댐이나 저수지가 위치한 유역에서 발생할 경우 댐/저수지에 토사가 유입되어 유효저수량을 감소시킴으로써 시설물의 기능을 저하할 수 있다. 댐/저수지의 지속적인 운영과 관리하고 이러한 피해를 최소화하기 위해서는 수치 모형을 활용하여 현상을 이해하고, 분석하는 것이 필수적이다. 하지만 한국은 국토 70%의 산지에 약 18,000개의 댐과 저수지가 설치되어 있으나, 댐과 저수지 유역에서 발생하는 산사태와 토석류에 대한 연구는 미흡한 실정이다. 이에 본 연구는 댐이나 저수지 유역에서 발생하는 산사태-토석류로 인해 해당 시설물에 발생하는 피해를 집중적으로 분석하고자 수치모형을 활용하였다. 또한 산지에서 발생하는 토사재해의 특성을 반영하고자 식생을 고려하기 위한 분포 시나리오를 구축하여 사면 안정성 및 토석류 유동에 있어서 식생의 영향을 파악하였습니다.

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