• 제목/요약/키워드: Damage Inspection

검색결과 740건 처리시간 0.028초

초음파를 이용한 추진제/라이너 미접착 및 추진제 미세 크랙의 결함 검출 기법 (Ultrasonic Inspection Technology of Defect Detection of Propellant/Liner Debond & Propellant Microcrack)

  • 나성엽
    • 한국추진공학회지
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    • 제11권1호
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    • pp.34-42
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    • 2007
  • 초음파를 이용한 추진기관의 비파괴검사는 X-ray 검사에 비하여 경제성이 우수하고, X-ray 검사 시 취약한 미접착, 손상 등의 결함 검출이 우수한 편이다. 그리고 전용 시설 없이 현장에서 실시간으로 검사가 가능하며 방사선 작업에 비하여 안전한 방법이다. 본 논문에서는 고체 추진제에 대한 초음파 특성을 분석하고, 추진제/라이너 미접착에 대한 내측과 외측 검사 방법 및 추진제 손상에 의한 미세 크랙 검출에 대하여 실험 및 분석하였다. 실험 결과, 추진제/라이너 미접착에 대한 내.외측 검사에 있어서 검출 가능성을 보였으며, 그리고 손상에 의한 추진제 미세 크랙도 초음파의 감쇠특성을 이용하여 검출 가능함을 보였다.

철도 레일의 결함 검출을 위한 비파괴탐상 기술 (Review of Non-Destructive Evaluation Technologies for Rail Inspection)

  • 한순우;조승현
    • 비파괴검사학회지
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    • 제31권4호
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    • pp.398-413
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    • 2011
  • 철도 레일의 주기적인 탐상은 레일 결함으로 인해 발생할 수 있는 철도 중대사고를 미연에 방지할 수 있는, 철도 안전 유지의 중요한 요소 중 하나이다. 본 논문은 현재 철도 레일 탐상에 적용되고 있거나, 적용을 위해 연구 중인 비파괴탐상 기법들에 관해 기술하였다. 레일에 발생하는 결함 유형에 대해 우선 언급하였고, 레일 탐상에 가장 많이 적용되고 있는 압전형 탐촉자 기반의 초음파탐상 기술에 대해 정리하였다. 접촉식 초음파 레일 탐상 기술에 대한 대안으로서 연구 중이거나 시험 중인 비파괴탐상 기법들에 대해 기술하고, 각 기법 별로 레일의 표면 및 내부 결함 검출 가능 여부에 대해 살펴보았으며 여러 탐상 기법들에 대한 비교를 통해 향후 레일 탐상 기술 개발에 활용하고자 하였다.

유도 초음파 이용 결함 진단을 위한 정합추적 기법 (Matching Pursuit Approach for Guided Wave-based Damage Inspection)

  • 홍진철;선경호;김윤영
    • 한국소음진동공학회논문집
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    • 제15권4호
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    • pp.382-387
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    • 2005
  • For successful guided-wave damage inspection, the appropriate signal processing of measured wave signals is very important. The objective of this paper is to introduce an efficient signal processing technique especially suitable for the guided-waves used for damage detection. The key idea of this technique is to model guided-waves by chirp functions of special form considering the dispersion phenomenon. To determine the parameter of the chirp functions simulating guided-waves, the matching pursuit algorithm is employed. The damage information in waveguides can be extracted by pulse-characterizing parameters. The effectiveness of present method is checked with the guided wave-based damage inspection.

유도 초음파 이용 결함 진단을 위한 정합추적 기법 (Matching Pursuit Approach for Guided Wave-Based Damage Inspection)

  • 홍진철;선경호;김윤영
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2004년도 추계학술대회논문집
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    • pp.615-618
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    • 2004
  • For successful guided-wave damage inspection, the appropriate signal processing of measured wave signals is very important. The objective of this paper is to introduce an efficient signal processing technique especially suitable for the guided-waves used for damage detection. The key idea of this technique is to model guided-waves by chirp functions of special form considering the dispersion phenomenon. To determine the parameter of the chirp functions simulating guided-waves, the matching pursuit algorithm is employed. The damage information in waveguides can be extracted by pulse-characterizing parameters. The effectiveness of present method is checked with the longitudinal wave-based damage inspection.

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주기적인 검사 정책하에서 최적예방 교체시기 결정에 관한 연구 (A Study of Optimal Maintenance Schedules of a System under the Periodic Inspection Policy)

  • 정현태;김제승
    • 산업경영시스템학회지
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    • 제20권44호
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    • pp.263-271
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    • 1997
  • This paper presents a preventive maintenance model for determining the preventive replacement period of a system in which a failure rate is affected by the cumulative damage of fault and inspection. Especially, the failure rate function is considered to be a function of the cumulative damage of the fault and inspection time. Types of replacement considered are preventive replacement and failure replacement. Failure rate and expected cost function between replacement are derived. An optimal policy is obtained that minimizes the average cost per unit time for preventive replacement, failure replacement, inspection and repair.

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챗봇 활용 철근콘크리트 건축물 구조안전 자가점검 시나리오 개발에 관한 연구 (Development of Chatbot Self-Inspection Scenario for Structural Safety of Existing Reinforced Concrete Buildings)

  • 양재광;강태욱;신지욱
    • 한국지진공학회논문집
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    • 제27권6호
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    • pp.331-337
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    • 2023
  • Due to the aging of a building, 38.8% (about 2.82 million buildings) of the total buildings are old for more than 30 years after completion and are located in a blind spot for an inspection, except for buildings subject to regular legal inspection (about 3%). Such existing buildings require users to self-inspect themselves and make efforts to take preemptive risks. The scope of this study was defined as the general public's visual self-inspection of buildings and was limited to structural members that affect the structural stability of old buildings. This study categorized possible damage to reinforced concrete to check the structural safety of buildings and proposed a checklist to prevent the damage. A damage assessment methodology was presented during the inspection, and a self-inspection scenario was tested through a chatbot connection. It is believed that it can increase the accessibility and convenience of non-experts and induce equalized results when performing inspections, according to the chatbot guide.

Damage Detection and Damage Quantification of Temporary works Equipment based on Explainable Artificial Intelligence (XAI)

  • Cheolhee Lee;Taehoe Koo;Namwook Park;Nakhoon Lim
    • 인터넷정보학회논문지
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    • 제25권2호
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    • pp.11-19
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    • 2024
  • This paper was studied abouta technology for detecting damage to temporary works equipment used in construction sites with explainable artificial intelligence (XAI). Temporary works equipment is mostly composed of steel or aluminum, and it is reused several times due to the characters of the materials in temporary works equipment. However, it sometimes causes accidents at construction sites by using low or decreased quality of temporary works equipment because the regulation and restriction of reuse in them is not strict. Currently, safety rules such as related government laws, standards, and regulations for quality control of temporary works equipment have not been established. Additionally, the inspection results were often different according to the inspector's level of training. To overcome these limitations, a method based with AI and image processing technology was developed. In addition, it was devised by applying explainableartificial intelligence (XAI) technology so that the inspector makes more exact decision with resultsin damage detect with image analysis by the XAI which is a developed AI model for analysis of temporary works equipment. In the experiments, temporary works equipment was photographed with a 4k-quality camera, and the learned artificial intelligence model was trained with 610 labelingdata, and the accuracy was tested by analyzing the image recording data of temporary works equipment. As a result, the accuracy of damage detect by the XAI was 95.0% for the training dataset, 92.0% for the validation dataset, and 90.0% for the test dataset. This was shown aboutthe reliability of the performance of the developed artificial intelligence. It was verified for usability of explainable artificial intelligence to detect damage in temporary works equipment by the experiments. However, to improve the level of commercial software, the XAI need to be trained more by real data set and the ability to detect damage has to be kept or increased when the real data set is applied.

Corrosion Assessment by Using Risk-Based Inspection Method for Petrochemical Plant - Practical Experience

  • Choi, Song-Chun;Song, Ki-Hun
    • Corrosion Science and Technology
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    • 제8권3호
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    • pp.119-125
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    • 2009
  • Corrosion assessment has a number of uses but the use considered here is as a precursor to Risk-Based Inspection (RBI) planning. Systematic methods consisting of technical modules of RBI program were used to assess the effect of specific corrosion mechanism on the probability of failure in equipments of petrochemical plants. Especially in part of the damage and corrosion assessment, screening step involved evaluating the combinations of process conditions and construction materials for each equipment item in order to determine which damage mechanisms are potentially active. For general internal corrosion, either API 510 or API 570 was applied as the damage rate in the calculation to determine the remaining life and inspection frequency. In some cases, a measured rate of corrosion may not be available. The technical modules of RBI program employ default values for corrosion, typically derived from published data or from experience with similar processes, for use until inspection results are available. This paper describes the case study of corrosion and damage assessment by using RBI methodology in petrochemical plant. Specifically, this paper reports the methodology and the results of its application to the petrochemical units using the $KGS-RBI^{TM}$ program, developed by the Korea Gas Safety Corporation to suit Korean situation in conformity with API 581 Codes.

Quantitative evaluation of through-thickness rectangular notch in metal plates based on lamb waves

  • Zhao, Na;Wu, Bin;Liu, Xiucheng;Ding, Keqin;Hu, Yanan;Bayat, Mahmoud
    • Structural Engineering and Mechanics
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    • 제71권6호
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    • pp.751-761
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    • 2019
  • Lamb wave technology is a promising technology in the field of structural health monitoring and can be applied in the detection and monitoring of defects in plate structures. Based on the reconstruction algorithm for the probabilistic inspection of damage (RAPID), a Lamb-based detection and evaluation method of through-thickness rectangular notches in metal plates was proposed in this study. The influences of through-thickness rectangular notch length and the angle between sensing path and notch length direction on signals were further explored through simulations and experiments. Then a damage index calculation method which focuses on both phase and amplitude difference between detected signals and baseline signals was proposed. Based on the damage index difference between two vertically crossed sensing paths which pass through the notch in a sensor network, the notch direction identification method was proposed. In addition, the notch length was determined based on the damage index distribution along sensing paths. The experimental results showed that the image reconstructed with the proposed method could reflect the information for the evaluation of notches.

Long Range Cylindrically Guided Ultrasonic Wave Technique for Inspection

  • Balasubramaniam, Krishnan
    • 비파괴검사학회지
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    • 제23권4호
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    • pp.364-371
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    • 2003
  • In this paper, a review of the current status, on the use of long range cylindrically guided wave modes, and their interaction with cracks and corrosion damage in pipe-like structures will be discussed. Applications of cylindrically guided ultrasonic wave modes have been developed for inspection of corrosion damage in pipelines at chemical plants, flow-accelerated corrosion damage (wall thinning) in feedwater piping, and circumferential stress corrosion cracks in PWR steam generator tubes. It has been demonstrated that this inspection technique can be employed on a variety of piping geometries (diameters from 1 in. to 3 ft, and wall thickness from 0.1 to 6 in.) and a propagation distance of 100 meters or more is sometimes feasible. This technique can also be used in the inspection of inaccessible or buried regions of pipes and tubes.