• Smart Structures and Systems
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• 제15권5호
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• pp.1293-1309
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• 2015

3D two adjacent buildings with different heights founded in different kinds of soil connected with viscous dampers groups, with especial arrangement in plane, were investigated. Soil structure interaction for three different kinds of soil (stiff, medium and soft) were modeled as 3D Winkler model to give the realistic behavior of adjacent buildings connected with viscous dampers under various earthquake excitations taking in the account the effect of different kinds of soil beneath the buildings, using SAP2000n to model the whole system. A range of soil properties and soil damping characteristics are chosen which gives broad picture of connected structures system behavior resulted from the influence soil-structure interaction. Its conclusion that the response of connected structures system founded on soft soil are more critical than those founded on stiff soil. The behavior of connected structures is different from those with fixed base bigger by nearly 20%, and the efficiency of viscous dampers connecting the two adjacent buildings is reduced by nearly 25% less than those founded on stiff soil.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 가을학술발표대회논문집
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• pp.53-54
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• 2023

Because irregular shaped buildings are designed with various three-dimensional curves, the difficulty of design and construction is very high, and more construction drawings are needed to reduce construction errors. General 2D drawings may have limitations in conveying the information necessary for construction. By utilizing BIM, it is possible to three-dimensionally design parts that are not expressed on 2D drawings and additional structurall components required for the construction of the curved exterior finishing materials. This study examines the necessity of BIM at the construction stage, its performance through it, and how it can be linked to smart construction technology through construction BIM being applied to the new construction site of Sejong-Pocheon Line Cheoin Rest Area.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 추계 학술논문 발표대회
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• pp.14-15
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• 2018

Logistics facilities are characterized by wide spans and high flooring, most of which are constructed with PC (Precast Concrete) methods to meet a wide range of commercial and industrial needs. However, the PC structure is a pin joint design, and the construction cost is increased due to the restrictions caused by the installation process, and the construction period is lengthened. In order to solve the above problem, SMART Frame, which is a structural system similar to the steel frame structure, was developed by embedding a steel frame at both ends of the PC. The purpose of this study is to analyze the erection time reduction effect of steel connected precast concrete components (SMART frames) for long span and heavy loaded logistics buildings compared to existing PC frames. For this study, a logistics building constructed with pin joint PC components is selected as a case. The result is compared with the existing PC frame to confirm the erection time reduction effect.

• 한국전기전자재료학회논문지
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• 제33권6호
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• pp.471-474
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• 2020

In recent years, the challenge of higher energy efficiency has emerged as urban buildings have become taller, and the area of window glasses has increased. To address the problem of energy efficiency in buildings, research on smart windows is being actively conducted. In this study, an accelerated experiment for thermal stability was conducted to fabricate a liquid crystal cell applicable to external windows. It was confirmed from the study that the function is maintained even in a high-temperature external environment through the change in transmittance by voltage. Compared with the initial transmittance, after the passage of time, the smart window cell to which the sealant was applied showed a small change in transmittance of 1~2%. This result confirmed the thermal stability of the liquid crystal-based smart window.

• Smart Structures and Systems
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• 제11권5호
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• pp.435-451
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• 2013

High-rise buildings are a common feature of urban cities around the world. These flexible structures frequently exhibit large vibration due to strong winds and earthquakes. Structural control has been employed as an effective means to mitigate excessive responses; however, structural control mechanisms that can be used in tall buildings are limited primarily to mass and liquid dampers. An attractive alternative can be found in outrigger damping systems, where the bending deformation of the building is transformed into shear deformation across dampers placed between the outrigger and the perimeter columns. The outrigger system provides additional damping that can reduce structural responses, such as the floor displacements and accelerations. This paper investigates the potential of using smart dampers, specifically magnetorheological (MR) fluid dampers, in the outrigger system. First, a high-rise building is modeled to portray the St. Francis Shangri-La Place in Philippines. The optimal performance of the outrigger damping system for mitigation of seismic responses in terms of damper size and location also is subsequently evaluated. The efficacy of the semi-active damped outrigger system is finally verified through numerical simulation.

• Wind and Structures
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• 제36권4호
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• pp.237-247
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• 2023

The emergence of high-rise buildings has necessitated frequent structural health monitoring and maintenance for safety reasons. Wind causes damage and structural changes on tall structures; thus, safe structures should be designed. The pressure developed on tall buildings has been utilized in previous research studies to assess the impacts of wind on structures. The wind tunnel test is a primary research method commonly used to quantify the aerodynamic characteristics of high-rise buildings. Wind pressure is measured by placing pressure sensor taps at different locations on tall buildings, and the collected data are used for analysis. However, sensors may malfunction and produce erroneous data; these data losses make it difficult to analyze aerodynamic properties. Therefore, it is essential to generate missing data relative to the original data obtained from neighboring pressure sensor taps at various intervals. This study proposes a deep learning-based, deep convolutional generative adversarial network (DCGAN) to restore missing data associated with faulty pressure sensors installed on high-rise buildings. The performance of the proposed DCGAN is validated by using a standard imputation model known as the generative adversarial imputation network (GAIN). The average mean-square error (AMSE) and average R-squared (ARSE) are used as performance metrics. The calculated ARSE values by DCGAN on the building model's front, backside, left, and right sides are 0.970, 0.972, 0.984 and 0.978, respectively. The AMSE produced by DCGAN on four sides of the building model is 0.008, 0.010, 0.015 and 0.014. The average standard deviation of the actual measures of the pressure sensors on four sides of the model were 0.1738, 0.1758, 0.2234 and 0.2278. The average standard deviation of the pressure values generated by the proposed DCGAN imputation model was closer to that of the measured actual with values of 0.1736,0.1746,0.2191, and 0.2239 on four sides, respectively. In comparison, the standard deviation of the values predicted by GAIN are 0.1726,0.1735,0.2161, and 0.2209, which is far from actual values. The results demonstrate that DCGAN model fits better for data imputation than the GAIN model with improved accuracy and fewer error rates. Additionally, the DCGAN is utilized to estimate the wind pressure in regions of buildings where no pressure sensor taps are available; the model yielded greater prediction accuracy than GAIN.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권12호
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• pp.5904-5927
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• 2019

Many artificial intelligence (AI) techniques have been embedded into various engineering technologies to assist them in achieving different goals. The integration of modern technologies with energy consumption management system and occupant's comfort inside buildings results in the introduction of intelligent building concept. The major aim of this integration is to manage the energy consumption effectively and keeping the occupant satisfied with the internal environment of the building. The last few couple of years have seen many applications of AI techniques for optimizing the energy consumption with maximizing the user comfort in smart buildings but still there is much room for improvement in this area. In this paper, a hybrid of two AI algorithms called firefly algorithm (FA) and genetic algorithm (GA) has been used for user comfort maximization with minimum energy consumption inside smart building. A complete user friendly system with data from various sensors, user, processes, power control system and different actuators is developed in this work for reducing power consumption and increase the user comfort. The inputs of optimization algorithms are illumination, temperature and air quality sensors' data and the user set parameters whereas the outputs of the optimization algorithms are optimized parameters. These optimized parameters are the inputs of different fuzzy controllers which change the status of different actuators according to user satisfaction.

• 한국지진공학회논문집
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• 제10권6호
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• pp.37-46
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• 2006

본 연구에서는 면진 건물의 내진 성능을 개선하기 위하여 최근 개발된 스마트 수동 제어 시스템을 적용하고 이의 효용성을 수치 모의실험을 통해 검증하였다. 스마트 수동 제어 시스템은 효과적인 반능동 제어 장치로 알려진 MR 감쇠기에 전자기 유도부를 도입하여 응답 변화에 따라 MR 감쇠기로 입력되는 전류를 변화시킴으로써 MR 감쇠기의 감쇠 특성을 조절하는 새로운 개념의 스마트 제진 시스템이다. 스마트 수동 제어 시스템에서 전자기 유도부는 영구자석과 솔레노이드 코일로 구성되며, 기존 스마트 제진 시스템의 계측기, 제어기, 외부 전원장치를 한꺼번에 대체할 수 있다. 면진 건물에 대한 스마트 수동 제어 시스템의 내진 성능을 수치적으로 검증하기 위하여 미국토목학회에서 제시한 면진 건물에 대한 벤치마크 제어 문제를 활용하였다. 스마트 수동 제어 시스템의 제진 성능을 MR 감쇠기를 이용한 기존 스마트 제어 시스템의 성능과 비교하였다. 수치 모의실험 결과를 통해 스마트 수동 제어 시스템이 면진 건물의 내진 성능을 개선하는 데 매우 유용함을 확인하였다.

• 한국산학기술학회논문지
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• 제21권5호
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• pp.664-671
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• 2020

스마트 빌딩 (Smart Building)은 사물 인터넷 (IoT; Internet of Things) 장치와 클라우드 서비스에서 모두 사용될 수 있는 응응 프로그램을 의미한다. 최근 Amazon, Google 및 Microsoft와 같은 클라우드 서비스 제공 업체는 IoT 장치에서 클라우드 애플리케이션 서비스를 제공할 수 있는 IoT 클라우드 플랫폼을 제공하고 있다. Postscapes에 따르면 최근에 152 개의 IoT 클라우드 플랫폼이 존재하고 있으며 스마트 빌딩 구현을 위해 하나를 선택하는 것은 어려운 문제이다. 본 논문에서는 실험을 위해서 마이크로소프트 Azure IoT 허브와 아마존의 AWS(Amazon Web Services) IoT를 선택하였다. 두 개의 IoT 클라우드 플랫폼을 선택하고 스마트 빌딩 관점에서 평가하였다. IoT 클라우드 플랫폼을 평가하기 위해 두 가지 다른 IoT 클라우드 플랫폼을 활용하였고, 일반적인 스마트 빌딩 시나리오를 가정하여 프로토타입을 구현하였다. 실험은 IoT 클라우드 플랫폼을 사용하여 시스템을 개발하는 과정에서 얻은 정보와 경험을 기반으로 수행하였다. 이 평가 결과는 스마트 빌딩을 위해 IoT 클라우드 플랫폼을 선택할 때 활용될 수 있다.

• 전자통신동향분석
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• 제34권5호
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• pp.36-47
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• 2019

Smart window technology has become a major component of smart buildings, leading to energy savings and enhanced functionality. Smart windows work like curtains or blind screens, blocking external light sources. Smart window components employ electrochromic or photochromic materials that can selectively block sunlight when electricity is applied. The installation of low-E glass and building-integrated photovoltaics (BIPV) is being encouraged in accordance with the policy on saving building energy. To incorporate BIPV into smart windows, the transparency and colors of transparent photovoltaics must be optimized. The power sources required to operate these smart windows take advantage of the transparent color of the solar cells, which also facilitates aesthetics. Self-powered smart windows that combine electrochromic or photochromic screens with transparent solar cells suggest a promising convergent technology.