• Title/Summary/Keyword: Damage Inspection

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Reliability analysis for fatigue damage of railway welded bogies using Bayesian update based inspection

  • Zuo, Fang-Jun;Li, Yan-Feng;Huang, Hong-Zhong
    • Smart Structures and Systems
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    • v.22 no.2
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    • pp.193-200
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    • 2018
  • From the viewpoint of engineering applications, the prediction of the failure of bogies plays an important role in preventing the occurrence of fatigue. Fatigue is a complex phenomenon affected by many uncertainties (such as load, environment, geometrical and material properties, and so on). The key to predict fatigue damage accurately is how to quantify these uncertainties. A Bayesian model is used to account for the uncertainty of various sources when predicting fatigue damage of structural components. In spite of improvements in the design of fatigue-sensitive structures, periodic non-destructive inspections are required for components. With the help of modern nondestructive inspection techniques, the fatigue flaws can be detected for bogie structures, and fatigue reliability can be updated by using Bayesian theorem with inspection data. A practical fatigue analysis of welded bogies is utilized to testify the effectiveness of the proposed methods.

Structural Damage Localization for Visual Inspection Using Unmanned Aerial Vehicle with Building Information Modeling Information (UAV와 BIM 정보를 활용한 시설물 외관 손상의 위치 측정 방법)

  • Lee, Yong-Ju;Park, Man-Woo
    • Journal of KIBIM
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    • v.13 no.4
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    • pp.64-73
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    • 2023
  • This study introduces a method of estimating the 3D coordinates of structural damage from the detection results of visual inspection provided in 2D image coordinates using sensing data of UAV and 3D shape information of BIM. This estimation process takes place in a virtual space and utilizes the BIM model, so it is possible to immediately identify which member of the structure the estimated location corresponds to. Difference from conventional structural damage localization methods that require 3D scanning or additional sensor attachment, it is a method that can be applied locally and rapidly. Measurement accuracy was calculated through the distance difference between the measured position measured by TLS (Terrestrial Laser Scanner) and the estimated position calculated by the method proposed in this study, which can determine the applicability of this study and the direction of future research.

EWIS Reliability Analysis of Aging Fighter Aircraft through Teardown Inspection (완전분해 점검을 통한 장기운영 전투기 전기배선시스템의 신뢰성분석)

  • Lee, Hoyong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.26 no.4
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    • pp.116-121
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    • 2018
  • According to the incresement of aging aircraft, Republic of Korea Air Force (RoKAF) conducted a teardown inspection of aircraft's EWIS (electrical wiring interconnection system) to determine the status of deterioration and the influence of failure occurrences due to it. The inspected aircraft were the retired fighter jets that had been used for more than 40 years. By analyzing defect type and the defect tendency, RoKAF can establish the necessary measures for the usage extension of their fleet and furthermore, the analysis results can be used as a basic data for the preparation of it's aircraft aging. EWIS inspection was done throughout careful visual inspection technique by removing all the ducts and pipes located in the fuselage and wings. For the aircraft wiring where no damage was found, the elongation tests were performed to determine the deterioration of wiring according to the location of the aircraft. The connectors, which is the main cause of intermittent failure, were completely disassembled and inspected for internal damage such as corrosion, abrasion, and traces of foreign objects. The detected defects were classified into 4 severity levels based on the type of damage, and the classified defects were weighted according to the criticality which may affects to it's system to establish the action plan.

A New Approach to Selection of Inspection Items using Risk Insight of Probabilistic Safety Assessment for Nuclear Power Plants

  • Park, Younwon;Kim, Hyungjin;Lim, Jihan;Choi, Seongsoo
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.14 no.2
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    • pp.49-58
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    • 2018
  • The regulatory periodic inspection program (PSI) conducted at every overhaul period is the most important process for confirming the safety of nuclear power plants. The PSI for operating nuclear power plants in Korea mainly consist of component level performance check that had been developed based on deterministic approach putting the same degree of importance to all the inspection items. This inspection methodology is likely to be effective for preoperational inspection. However, once the plant is put into service, the PSI must be focused on whether to minimize the risk of accident using defense-in-depth concept and risk insight. The incorporation of defense-in-depth concept and risk insight into the deterministic based safety inspection has not been well studied so far. In this study, two track approaches are proposed to make sure that core damage be avoided: one is to secure success path and the other to block the failure path in a specific event tree of PSA. The investigation shows how to select safety important components and how to set up inspection group to ensure that core damage would not occur for a given initiating event, which results in strengthening defense-in-depth level 3.

Damage Assessment of Existing Structures by System Identification (SI법에 의한 기설구조물의 손상평가)

  • Lee, Hee-Up;Yang, Chang-Hyun;Park, Moon-Suk
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.1
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    • pp.179-184
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    • 1999
  • In this study, a method for damage assessment of existing structures is suggested using system identification approach. The natural frequencies of damaged structures are utilized to determine the size of damage. The SUMT algorithm is used to minimize error of the criterion function. The structural analysis is performed by using finite element method. Numerical examples are carried out to verify the validity of the proposed method and its computational procedures. And damage estimation of PSC beam is performed to demonstrate the effectiveness of the proposed method. From the results, it is found that the proposed SI method can be applied to estimate damage in existing structures accurately and rapidly.

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Application of Risk-Based Inspection with Financial Risk for a Petrochemical Process (석유화학공정에서 재정적 위험도에 의한 위험기반검사의 적용)

  • Kim, Tae-Ok;Lee, Joong-Hee;Choi, Sung-Kyu;Lee, Hern-Chang;Jo, Ji-Hoon
    • Journal of the Korean Institute of Gas
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    • v.13 no.4
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    • pp.53-60
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    • 2009
  • For the case of the facilities using utilities such as cooling water and steam, risk of the facilities is zero because the consequence of failure (COF) through equipment damage area is zero. Therefore, to improve the estimation method of the risk by COF through equipment damage area in the risk-based inspection (RBI), this study developed the procedures of RBI, in which the risk was estimated by COF through financial loss. And, the RBI program (KS-RBI Ver 3.1) was developed to establish inspection interval based on the risk of the facilities estimated by COF through equipment damage area and financial loss, simultaneously, and the developed RBI program was applied to a petrochemical process. As a result, risks of the facilities estimated by COF through financial loss were similar to risks by COF through the equipment damage area. But, for the case of the facilities using utilities or expensive facilities, the estimation method of the risk by COF through financial loss was more accurate than through equipment damage area.

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Development of Damage Mechanism Information System for Equipments in Refinery Industry (정유산업 설비의 손상기구 정보 시스템 개발)

  • Choi J.W.;Seo J.M.;Choi S.C.;Yoon K.B.
    • Journal of the Korean Institute of Gas
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    • v.10 no.1 s.30
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    • pp.32-37
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    • 2006
  • Major components of refinery plants are exposed to various damage mechanisms depending on the operation condition, material selection and kinds of internal fluid. Inspection techniques and damage monitoring methods should be selected considering the damage mechanisms of the components. Hence, it is quite necessary to have an information system with a standardized database on the various damage mechanisms. In this study a damage information system with contents on the damage mechanisms included in API 571 code was developed. Concept of the screening table employed in USA and Japan was also adopted to identify the probable damage mechanisms from the information on operating temperature, internal fluid, metal used for the component and stress condition. This system can be used before the risk based inspection planning to identify key damage mechanisms involved.

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A Study of Railway Bridge Automatic Damage Analysis Method Using Unmanned Aerial Vehicle and Deep Learning-based Image Analysis Technology (무인이동체와 딥러닝 기반 이미지 분석 기술을 활용한 철도교량 자동 손상 분석 방법 연구)

  • Na, Yong Hyoun;Park, Mi Yeon
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.556-567
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    • 2021
  • Purpose: In this study, various methods of deep learning-based automatic damage analysis technology were reviewed based on images taken through Unmanned Aerial Vehicle to more efficiently and reliably inspect the exterior inspection and inspection of railway bridges using Unmanned Aerial Vehicle. Method: A deep learning analysis model was created by defining damage items based on the acquired images and extracting deep learning data. In addition, the model that learned the damage images for cracks, concrete and paint scaling·spalling, leakage, and Reinforcement exposure among damage of railway bridges was applied and tested with the results of automatic damage analysis. Result: As a result of the analysis, a method with an average detection recall of 95% or more was confirmed. This analysis technology enables more objective and accurate damage detection compared to the existing visual inspection results. Conclusion: through the developed technology in this study, it is expected that it will be possible to analysis more accurate results, shorter time and reduce costs by using the automatic damage analysis technology using Unmanned Aerial Vehicle in railway maintenance.

Damage Assessment of RC Bridge Using Neural-Fuzzy System (퍼지신경망을 이용한 철근콘크리트 교량의 손상도 평가)

  • Seong, Young-Joon;Kim, Ki- Bong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.3 no.4
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    • pp.129-137
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    • 1999
  • Assessment of structural damage is a complex subject imbued with uncertainty and vagueness. This complexity arises from the use of subjective opinion and imprecise numerical data. Recently several active researches have been performed using new methods such as neural network approach or on-line damage detection. In this paper, Damage assessment (diagnosis) of the concrete bridges is studied by a new approach utilizing a neural fuzzy system that combined a neural network and a fuzzy logic. By applying this system to actual in-service bridges, it has been verified that the neural fuzzy method is effective for the bridge diagnosis.

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Damage Prediction of Reinforced Concrete Structures due to Ground Motion (지반진동으로 인한 R/C 구조물의 손상에 관한 연구)

  • Rhim, Hong-Chul;Kim, Ji-Yeon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.6 no.2
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    • pp.195-202
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    • 2002
  • Urbanization and development of industry makes people concerned about quality of circumstances. Problems of vibration are on the rise. Vibration makes inhabitants feel unpleasant and involves structural damage. The purpose of this study is to assess damage of reinforced concrete structures due to ground motions as the parameters of frequency, duration time and aspect ratio of structures are changed. Ground motions were modeled as sine waves. To compare sine waves with real ground motions, two cases are selected; one is blast loading case and the other is earthquake loading. It was intended to provide means to assess R/C structure damage due to ground motions.