• Nuclear Engineering and Technology
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• 제36권4호
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• pp.316-326
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• 2004

The $40\%$ of wall criterion, which is generally used for the plugging of steam generator tubes, is applied only to a single crack. In a previous study, a total number of 9 failure models were proposed to estimate the local failure of the ligament between cracks, and the optimum coalescence model of multiple collinear cracks was determined among these models. It is, however known that parallel axial cracks are more frequently detected than collinear axial cracks during an in-service inspection. The objective of this study is to determine the plastic collapse model that can be applied to steam generator tubes containing two parallel axial through-wall cracks. Three previously proposed local failure models were selected as the candidates. Subsequently, the interaction effects between two adjacent cracks were evaluated to screen them. Plastic collapse tests for the plate with two parallel through-wall cracks and finite element analyses were performed to determine the optimum plastic collapse model. By comparing the test results with the prediction results obtained from the candidate models, a COD base model was selected as an optimum model.

• 한국재난정보학회 논문집
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• 제17권2호
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• pp.289-305
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• 2021

연구목적: "AHP 분석을 통한 공동주택 입주민의 안전 및 안심생활 수준 향상"을 위하여 상위계층과 sub 상위계층, 하위대안 요소의 중요도 및 안심생활을 위한 요인을 확인하며, 종합우선도를 확인하고자 한다. 연구방법: 본 연구에서는 공동주택 유지보수 및 제도에 관한 선행연구와 전문가 자문을 토대로 안전관리 평가요소 및 대안을 계층 구조화하였다. 연구 모형은 전문가를 상대로 쌍대비교 구성의 설문에 활용하고, 대체안 순위 결정 등을 위해 AHP분석 기법을 사용 하였다. 연구결과: 설문조사 응답 결과는 일관성을 확보하였고, 연구의 최종 목표 달성을 위해 sub상위계층 그리고 대안을 상대적 가중치 비교 등을 분석한 결과 상위계층은 공동주택 전기설비 안전점검, sub 상위계층은 안전점검/정밀점검/진단평가, 대안은 급·배수시설이 최우선적으로 중요한 것으로 확인되었다. 결론: 공동주택관리 전문가의 관리자적 시각으로 볼 때 급·배수시설, 방범안전, 전기안전이 최우선적인 대안으로 나타났다. 이는 생활안전사고의 중요성을 확보하고 안심생활의 수준 향상이 가능한 것으로 의사 결정되어 사전 예방 및 관리 강화의 대안임을 보여 주었다.

• 한국구조물진단유지관리공학회 논문집
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• 제18권1호
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• pp.59-67
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• 2014

경부고속철 PSC 박스 교량의 주행안정성 평가방법을 개발하기 위하여 동적 수치해석을 수행하였다. 교량과 차량의 상호작용력을 고려한 수치 모형을 적용하였다. 3차원 유한요소 뼈대요소를 적용한 교량과 38자유도로 상세하게 모형화된 차량은 공용 중인 KTX의 물성 사양을 적용하였다. 주행속도 500 km/h까지 10 km/h 일정 증가분으로 수치해석하여 차량의 각 방향의 회전각을 교량/일반 도상에서 해석하고 비교하였다. 비교된 회전각비는 기존의 주행안정성 설계기준에 보완될 수 있는 평가방법으로 판단된다.

• Nuclear Engineering and Technology
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• 제48권5호
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• pp.1083-1095
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• 2016

The design of Prototype Gen-IV Sodium-Cooled Fast Reactor (PGSFR) has been developed and the validation and verification (V&V) activities to demonstrate the system performance and safety are in progress. In this paper, the current status of test activities is described briefly and significant results are discussed. The large-scale sodium thermal-hydraulic test program, Sodium Test Loop for Safety Simulation and Assessment-1 (STELLA-1), produced satisfactory results, which were used for the computer codes V&V, and the performance test results of the model pump in sodiumshowed good agreement with those in water. The second phase of the STELLA program with the integral effect tests facility, STELLA-2, is in the detailed design stage of the design process. The sodium thermal-hydraulic experiment loop for finned-tube sodium-to-air heat exchanger performance test, the intermediate heat exchanger test facility, and the test facility for the reactor flow distribution are underway. Flow characteristics test in subchannels of a wire-wrapped rod bundle has been carried out for safety analysis in the core and the dynamic characteristic test of upper internal structure has been performed for the seismic analysis model for the PGSFR. The performance tests for control rod assemblies (CRAs) have been conducted for control rod drive mechanism driving parts and drop tests of the CRA under scram condition were performed. Finally, three types of inspection sensors under development for the safe operation of the PGSFR were explained with significant results.

• 한국구조물진단유지관리공학회 논문집
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• 제26권3호
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• pp.55-63
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• 2022

모듈러 지중아치 구조는 시공과정이 단순하며 강재와 콘크리트를 이용하여 시공 및 공용 중에 발생하는 단면력에 대하여 효과적으로 저항할 수 있는 구조로 제안되어 15m 이하의 지간에 대하여 3차원 구조해석 및 실험을 통하여 구조적 거동이 평가되었다. 일반적으로 지중아치와 터널 등의 구조해석의 경우 2차원이나 3차원 구조해석 방법이 적용될 수 있다. 하지만, 모듈러 지중아치 구조의 구조적 안전성 평가를 위하여 2차원이나 3차원 구조해석 방법을 적용할 경우 구조해석을 위한 모형화가 어렵고, 해석시간이 과도하게 오래 걸릴 수 있으므로, 모듈러 지중아치 구조의 설계과정에서 필요한 구조 안전성 및 토압 등을 고려한 구조해석 방법으로는 합리적이지 않을 수 있다. 또한, 사전에 결정된 단면이 적용가능한 지간에 대하여 모듈러 지중아치 구조를 구성하는 경우 지간과 하중조건에 따른 단면과 구조적 안전성만을 평가하는 것이 합리적일 수 있다. 따라서, 본 연구에서는 효율적인 구조 안전성 평가를 위하여 프레임 요소를 이용한 구조해석 모델을 제안하고, 2차원 구조해석모델과 프레임 요소를 이용한 간략해석모델의 구조해석 결과를 비교하였으며, 간략해석 방법을 이용하여 20m지간의 모듈러 지중아치구조의 구조적 안전성을 평가하였다.

• Smart Structures and Systems
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• 제31권1호
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• pp.79-88
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• 2023

As the number of deteriorated buildings increases, the importance of safety diagnosis, maintenance, and the repair of buildings also increases. Traditionally, building condition assessments are performed by one person or one company and various inspections are needed. This entails a subjective judgment by the inspector, resulting in different assessment results, poor objectivity and a lack of reliability. Therefore, this study proposed a method to bring about accurate grading results of building conditions. The limitations of visual inspection and condition assessment processes previously conducted were identified by reviewing existing studies. Building defect data was collected using the reverse-engineered three-dimensional (3D) model. The accuracy of the results was verified by comparing them with the actual evaluation results. The results show a 50% time-saving to the same area with an accuracy of approximately 90%. Consequently, defect data with high objectivity and reliability were acquired by measuring the length, area, and width. In addition, the proposed method can improve the efficiency of the building diagnosis process.

• 한국건축시공학회지
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• 제23권1호
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• pp.81-92
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• 2023

According to the 2020 industrial accident reports of the Ministry of Employment and Labor, the number of fatal accidents in the construction industry over the past 5 years has been higher than in other industries. Of these more than 50% of fatal accidents are initially caused by fall accidents. The central government is intensively managing falling/jamming protection device and the use of personal protective equipment to eradicate the inappropriate factors disrupting safety at construction sites. In addition, although efforts have been made to prevent safety accidents with the proposal of the Special Act on Construction Safety, fatalities on construction sites are constantly occurring. Therefore, this study developed a model that automatically detects the wearing state of the worker's safety helmet and belt using computer vision technology. In considerations of conditions occurring at construction sites, we suggest an optimization method, which has been verified in terms of the accuracy and operation speed of the proposed model. As a result, it is possible to improve the efficiency of inspection and patrol by construction site managers, which is expected to contribute to reinforcing competency of safety management.

• 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.

• 대한조선학회논문집
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• 제59권4호
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• pp.192-199
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• 2022

With the advent of autonomous ships, it is emerging as one of the very important issues not only to operate with a minimum crew or unmanned ships, but also to secure the safety of ships to prevent marine accidents. On-site inspection of the hull is mainly performed by the inspector's visual inspection, and video information is recorded using a small camera if necessary. However, due to the shortage of inspection personnel, time and space constraints, and the pandemic situation, the necessity of introducing an automated inspection system using artificial intelligence and remote inspection is becoming more important. Furthermore, research on hardware and software that enables the automated inspection system to operate normally even under the harsh environmental conditions of a ship is absolutely necessary. For automated inspection systems, it is important to review artificial intelligence technologies and equipment that can perform a variety of hull failure detection and classification. To address this, it is important to classify the hull failure. Based on various guidelines and expert opinions, we divided them into 6 types(Crack, Corrosion, Pitting, Deformation, Indent, Others). It was decided to apply object detection technology to cracks of hull failure. After that, YOLOv5 was decided as an artificial intelligence model suitable for survey and a common hull crack dataset was trained. Based on the performance results, it aims to present the possibility of applying artificial intelligence in the field by determining and testing the equipment required for survey.

• 한국가스학회지
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• 제21권6호
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• pp.30-38
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• 2017

1960년대에 설립된 울산 및 여수 산업단지 고압가스매설배관은 누출 시 피해가 큰 독성가스는 물론 도시가스보다 무겁고 연소범위가 낮은 가연성가스가 그물망처럼 매설사용 중에 있다. 특히, 산업단지 배관의 경우 20년 이상 노후된 배관이 과반이상으로 점유하고 있다. 이와 같이 산업단지 배관은 상주시공감리제도 도입이전에 매설설치 되었으나, 도시가스 매설배관과 달리 법적 의무 없이 자율적으로 배관관리를 하고 있다. 본 연구에서는 산업단지 고압매설배관과 도시가스 매설배관의 안전관리 실태현황, 법을 비교, 피해영향범위 분석 하고 이를 산업단지 고압매설배관의 배관점검모델 마련에 활용하여 산업단지 고압매설배관의 안전성 향상에 기여하고자 한다.