기후요소를 고려한 초고층 건설공사의 타워크레인 양중시간 예측 시뮬레이션 모델

양강혁,이현수,박문서,정민혁,황성주,Yang, Kanghyeok,Lee, Hyun-Soo,Park, Moonseo,Jung, Minhyeok,Hwang, Sungjoo 한국건설관리학회 2013 한국건설관리학회 논문집 Vol.14 No.2

초고층 건물공사에서 타워크레인의 양중계획은 전체 공사의 성패를 좌우할 수 있는 매우 중요한 요소 중 하나이다. 타워크레인의 양중계획에 있어 양중시간은 기본적인 요소 중 하나로 이를 바탕으로 양중부하 및 타워크레인을 선정하기 때문에 양중계획을 위해서는 정확한 양중시간의 예측이 필요하다고 할 수 있다. 현재 초고층 공사의 양중시간 예측은 기존의 실적자료와 시뮬레이션을 이용하여 수행하고 있지만 양중작업에 영향을 미치는 환경적인 요인에 대해서는 충분히 고려되지 못하고 있다. 따라서 본 연구에서는 양중작업에 영향을 크게 미치는 바람을 시뮬레이션에 반영하여 초고층 공사의 타워크레인 양중시간을 예측하는 시뮬레이션 모델을 개발하였다. 시뮬레이션 분석 결과 바람의 영향을 반영한 양중시간은 높이가 올라갈수록 증가하였으며, 초고층부의 경우 기계적 양중시간보다 바람의 영향에 의한 양중 지연시간이 더 크다는 것을 알 수 있었다. 또한 연구 대상지인 서울의 풍속은 4월이 강하고 10월이 약하게 나타났으며, 양중시간을 예측한 결과 둘 간의 큰 차이가 발생함을 알 수 있었다. 이 같은 결과는 향후 초고층 타워크레인 양중계획 시 바람이 양중에 미치는 영향을 예측하고 이를 고려하여 실제 상황과 동일한 양중계획을 세우는데 활용될 수 있을 것으로 기대된다. Tower crane hoisting plan is one of the key element for the success of entire High-Rise Building construction. Hoisting time is the basic factor to appropriate hoisting plan which need to the hoisting load estimate and tower crane selection. With this reason, accurate hoisting time is needed to the proper hoisting plan. The current hoisting time estimation for High-Rise Building focus on the hoisting cycle time estimation with historical data. However, this method underestimated the external influences like environmental factor. Thus, this paper aims to develop the hoisting time estimation model with discrete event simulation which include the wind influences with certain height. According to the simulation result, the hoisting time which applied wind influence is increasing with height growth. Because of the high speed wind, the upper area of building has more operation delay time than the mechanical operation time. Seoul, the research area, has the most fastest wind speed on April and the least on October. Due to these differences of wind speed, the hoisting time is estimated with significant differences between April and October. This hosting time estimation model would be used for estimating the influence of wind. Moreover, this could apply to make the realistic hoisting plan.

IoT 기반 건설현장 안전관리 기술

양강혁,Yang, Gang-Hyeok 한국건설관리학회 2021 건설관리 : 한국건설관리학회 학회지 Vol.22 No.3

웨어러블 센싱 기반 고령자를 위한 보행 편의성 평가

양강혁(Yang, Kanghyeok),황성주(Hwang, Sungjoo),김현수(Kim, Hyunsoo) 대한건축학회 2019 대한건축학회논문집 Vol.35 No.7

The active living of the elderly leads to improve their lives and enhance social networks. In the view of the active living, the walkability is an essential factor for the elderly’s daily life. To support the active living, making age-friendly environment is important. Considering that the elderly mainly carry out activities through walking, making the age-friendly walking environment is a preliminary action. The existing studies applied various methods such as surveys by experts. In spite of the benefits in theirs, there is still a limitation that current walkability measurement methods did not incorporate the actual elderly’s walking activity. Thus, the purposes of this study is to measure the elderly’s walking quantitatively using a wearable sensor, and to investigate the feasibility of comparing several walking environments based on the data collected from the actual elderly’s walking. To do this, experiment was conducted in four types environments with 22 senior subjects. The walkability was measured by walking stability represented quantitatively as Maximum Lyapunov Exponent (MaxLE). Through the experiment results, it was confirmed that the stability of the elderly walking was different according to the walking environment, which also meant that bodily responses (walking stability) is highly related to walkability. The results will provide an opportunity for the continuous diagnosis of walking environments, thereby enhancing the active living of the elderly.

하수처리 : BAF를 이용한 하수 3차 처리의 영향 요인분석

양진호 ( Jin Ho Yang ),강범희 ( Bum Hee Kang ),강혁구 ( Hyeo Ku Kang ),최민아 ( Min A Choi ),임경호 ( Kyeong Ho Lim ) 한국물환경학회 ( 구 한국수질보전학회 ) 2009 공동 추계학술발표회 Vol.2009 No.-

Is there regional inequality in the medical accessibility of the severely injured? Application of driving time data in South Korea

양현주,Elliot Kang,김민경,고강혁 서강대학교 지암남덕우경제연구원 2020 시장경제연구 Vol.49 No.1

An important aspect of successfully treating the severely injured, or trauma patients, is accessibility to a hospital within an hour (the “golden hour”). In this study, we use novel driving time data to investigate the regional disparity in accessing trauma centers in 3,400 townships in South Korea. We found that 99.8% of residents in metropolitan cities were located within a 60-minute drive to trauma centers, whereas 21% of residents (6 million) in non-metropolitan cities could not reach trauma centers within 60 minutes. The results suggest that government resources should be prioritized toward improving trauma center accessibility in non-metropolitan regions.

간헐 역세척 접촉산화지를 이용한 하수의 3차 처리

임경호,양진호,강혁구,이상민 한국도시환경학회 2011 한국도시환경학회지 Vol.11 No.2

MEMS 라이다 센서를 활용한 심층학습 기반 조적벽체 결함 인식 기술

황영서,박근형,양강혁 대한건축학회 2023 대한건축학회논문집 Vol.39 No.1

Most of the maintenance and safety inspections of buildings are performed with visual assessment of the inspector, which consumes a lot oftime and cost. With the development of computer vision and digital technologies such as 3D Laser scanners, automatic defect recognitionusing image processing and artificial intelligence has been widely studied. Current approach is largely relying on the image obtained from thecamera and the recognition performance could be varied depending on the surrounding environment. Recently, studies using 3D Laser scannerare being conducted to solve these problems. However, terrestrial laser scanners are expensive, so it is difficult to apply at the constructionsite. Therefore, this study proposed a method that can recognize masonry wall defects using a Microelectromechanical systems based LightDetection and Ranging sensor that having much lower price and reliable performance. This study was performed using masonry wallstructures and data were collected from samples having various types of defects in a laboratory environment. Masonry wall defects wererecognized using ResNet-50 and VGG16 models, which are widely used in previous studies. As a result of the classification, ResNet-50 andVGG16 achieved 98.75% and 96.88% accuracy, respectively. The results of this study can be utilized in the development of real-time defectrecognition method for a masonry wall at construction sites. 건축물의 유지관리 및 안전점검은 대부분 점검자의 육안으로 진행하여 많은 시간과 인력이 소모된다는 문제점이 있다. 이를 보완하기 위해 영상처리기술 및 인공지능을 활용한 결함 인식 기술 개발이 활발하게 진행되고 있다. 하지만 기존의 영상처리 기법은 카메라를 통해 얻은 이미지를 분석하는 방식으로 주변 환경에 따라 성능이 변하는 한계가 있다. 최근 이를 해결하기 위해 3D 레이저 스캐닝 센서를 이용한 결함인식 방법을 개발하였으나 장치의 가격이 비싸 활발한 활용이 어렵다는 단점이 있다. 이에 본 연구는 기존 스캐닝 장치보다 가격이 저렴하고 신뢰할만한 성능을 보이고 있는 MEMS 라이다 센서를 이용해 조적벽체의 결함을 인식할 수 있는 기술을 개발하였다. 해당 연구는 조적벽체를 대상으로 하였으며, 실험실 환경에서 여러 종류의 결함을 가진 시험체를 제작하여 데이터를 획득하였다. 조적벽체 결한 인식 방법으로 인공지능을 활용한 연구에서 많이 사용하고 있는 ResNet-50과 VGG16 모델을 사용하여 결함을 인식하였으며, 성능평가 결과 ResNet-50은 98.75%, VGG16은 96.88%의 정확도를 보여주었다. 해당 연구 결과는 모바일 3D 레이저 스캐닝 장치와 결합하여 조적벽체의 실시간 결함 인식 기술 개발에 활용될 수 있을 것으로 판단된다.

초음파 스캐닝을 활용한 지능형 건설기계 충돌방지 기술

이재훈,황영서,양강혁 한국건설관리학회 2021 한국건설관리학회 논문집 Vol.22 No.5

According to the Ministry of Employment and Labor’s statistics on occupational fatalities in South Korea, more than half of the fatalities in the past five years have occurred in the construction industry. The stuck-by and caught-inbetween accidents associated with construction equipment is the major source of fatalities from construction sites. In order to prevent such accidents in construction sites, the government has spent lots of efforts including proposing the “special law on construction safety” and encouraging the implementation of new technology for accident prevention. However, numerous accidents are still occurred at construction sites and further efforts are still required. In this manner, this study developed a collision prevention technique that can prevent collision between equipment and worker by recognizing location and type of the nearby objects through ultrasound scanning. The study conducted a pilot experiment and the analysis results demonstrate the feasibility of achieving high performance in both object recognition and location estimation. The developed technique will contribute to prevent collision accidents at construction sites and provide the supplemental knowledge on developing automated collision prevention system for construction equipment.

건설 근로자의 족저압 정보를 활용한 신체부하 인식 기술

박근형,황영서,고성석,양강혁 대한건축학회지회연합회 2023 대한건축학회연합논문집 Vol.25 No.5

A lot of construction works are done by manually and often involves heavy materials handling, which increases the risk of musculoskeletal disorders. However, monitoring physical load levels applied to workers during construction work is difficult due to the large size of the site and a huge number of workforce. Under this circumstance, this study developed an approach to evaluate the lifting workload of construction workers using a smart insole sensor for the purpose of preventing musculoskeletal disorders. In the experiment, different level of risks were set by changing the lifting load according to the NIOSH Lifting Index. Participants wore a smart insole and performed repetitive lifting tasks. A analysis was conducted by applying the Bi-LSTM model, a deep learning algorithm based on a recurrent neural network. As a result of the analysis, an accuracy of up to 84.1% was confirmed when using data collected from the nearest foot to the lifting object. The approach introduced in this study utilizes foot-pressure data which is easier to acquire than other biometric data and would have a higher field applicability. The approach would help to manage the level of physical load during a heavy material handling tasks at construction sites and prevent musculoskeletal disorders of construction workers.