Sanghyo Lee
한양대학교 건설환경공학부 · 공학
이 교수의 연구실은 건축물의 구조적 안정성과 외관 유지에 중점을 두고, 딥러닝 기반의 결함 탐지 기술과 디지털 패러다임 전환을 통한 건설 프로세스 혁신을 연구하고 있습니다. 특히 노후 건축물의 결함 진단을 위한 데이터 증강 기법과 스마트 센서 기반의 실내 환경 제어 시스템 개발을 통해 유지보수 효율성과 에너지 절감을 동시에 추구하고 있습니다. 또한 녹색 건축의 재정적 접근성 향상을 위한 금융 모델 개발을 통해 지속 가능한 주거 환경 조성에 기여하고자 합니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Defects in residential building façades affect the structural integrity of buildings and degrade external appearances. Defects in a building façade are typically managed using manpower during maintenance. This approach is time-consuming, yields subjective results, and can lead to accidents or casualties. To address this, we propose a building façade monitoring system that utilizes an object detection method based on deep learning to efficiently manage defects by minimizing the involvement of man
This study analyzes and evaluates building maintenance costs by applying the loss-distribution approach (LDA) normally used by financial organizations to assess operational risks to 7,267 historical maintenance data items for 1,915 apartment housing complexes in South Korea. These maintenance activities are classified into six categories and the period after construction into four categories in order to create a risk matrix, after which the severity and frequency distribution for each cell is ca
Along with the growing interest in greenhouse gas reduction, the effect of greenhouse gas energy reduction from implementing green buildings is gaining attention. The government of the Republic of Korea has set green growth as its paradigm for national development, and there is a growing interest in energy saving for green buildings. However, green buildings may have financial barriers that have high initial construction costs and uncertainties about future project value. Under the circumstances
The main purpose of this study is to investigate the advantages of digital fabrication pertaining to construction project management, in particular, in terms of different project management factors, using case studies of irregular‐shaped buildings in which digital fabrication has versatile applications. This study collected secondary data corresponding to 27 construction projects of irregular‐shaped buildings that implemented digital fabrication. Success criteria were developed based on the Proj
Recently, in the building and infrastructure fields, studies on defect detection methods using deep learning have been widely implemented. For robust automatic recognition of defects in buildings, a sufficiently large training dataset is required for the target defects. However, it is challenging to collect sufficient data from degrading building structures. To address the data shortage and imbalance problem, in this study, a data augmentation method was developed using a generative adversarial
Abstract Heating, ventilation, and air conditioning systems in building operations have extensively gained significant interest in recent years for providing a comfortable environment and energy savings by utilizing the occupancy information of buildings. Herein, a flexible heterogeneous temperature and humidity sensor‐based occupancy detection device with an integrated wireless communication system is introduced. The multichannel (three‐channel) Pt‐based temperature and single‐channel humidity
Establishing an effective long-term maintenance plan is essential to ensure the sustainability of a building. Among the various components of a building, the mechanical, electrical, and plumbing (MEP) components are complexly affected by various parameters, such as quality and user pattern, with respect to the service life. Besides, these components are replaced at different points in time, which becomes one of the main risks when establishing a maintenance plan for the building. Therefore, it i
With the goal of reducing greenhouse gas (GHG) emissions by 26.9% below business-as-usual by 2020, the construction industry is recognized as an environmentally harmful industry because of the large quantity of consumption and waste with which it is associated, and the industry has therefore been requested to become more environmentally friendly. Concrete, a common construction material, is known to emit large amounts of environmentally hazardous waste during the processes related to its product
This study aims to conduct an empirical analysis of the impact of diversification on construction company insolvency through a vector error correction model (VECM). The study focuses on a series of structural changes in the Korean construction industry as well as on the fluctuation process of construction business portfolios. This study calculated the diversification index to subrogate diversification level and used it as an analytical variable. The gross domestic product (GDP), Korea Composite
In this study, we examined the efficacy of a deep convolutional neural network (DCNN) in recognizing concrete surface images and predicting the compressive strength of concrete. A digital single-lens reflex (DSLR) camera ... | Find, read and cite all the research you need on Tech Science Press
This study analyzed the impact of change orders on construction projects by using the loss distribution approach (LDA), which is used in finance to analyze operational risks, and proposed a framework for applying the LDA to construction. It examined 9,028 change orders for 237 apartment housing projects in South Korea. Prior to the analysis, the change-order factors were classified into five categories and the work types into eight categories in order to form a risk matrix. The severity and freq
Continuous inspections and observations are required to preserve the safety and condition of buildings. Although the number of deteriorated buildings has increased over the years, traditional inspection methods are still used. However, this approach is time-consuming, costly, and carries the risk of poor inspection owing to the subjective intervention of the inspector. To overcome these limitations, many recent studies have developed advanced inspection methods by integrating unmanned aerial veh
This study proposes an Energy Service Company (ESCO) business model to which Certified Emission Reduction (CER) is applied mainly for guaranteed savings. To verify the effectiveness of this ESCO business model, option theory is used. Notably, along with call and put options, which are appropriate for profit structure evaluation of existing guaranteed savings contract, an up and knock-out option was used to analyze the option of securing profit from CER. Based on this analysis, the values of the