Automated structural design methods for reinforced concrete (RC) beam members have been widely studied with various techniques to date. Recently, artificial intelligence has been actively applied to various engineering fields. In this study, machine learning (ML) is adopted to make automated structural design model for RC beam members. Among various machine learning methods, a supervised learning was selected. When a supervised learning is applied to development of ML-based prediction model, datasets for training and test are required. Therefore, the datasets for rectangular and t-shaped RC beams was constructed by commercial structural design software of MIDAS. Five supervised learning algorithms, such as Decision Tree (DT), Random Forest (RF), K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN), eXtreme Gradient Boosting (XGBoost) were used to develop the automated structural design model. Design moment (Mu), design shear force (Vu), beam length, uniform load (wu) were used for inputs of structural design model. Width and height of the designed section, diameter of top and bottom bars, number of top and bottom bars, diameter of stirrup bar were selected for outputs of structural design model. Performance evaluation of the developed structural design models was conducted using metrics sush as root mean square error (RMSE), mean square error (MSE), mean absolute error (MAE), and coefficient of determination (R2). This study presented that random forest provides the best structural design results for both rectangular and t-shaped RC beams.

도로 주행 시 차량의 제동거리 확보와 곡선부 주행 안전성은 도로 설계에서 중요한 요소이며, 강우로 인해 형성되는 수 막은 타이어와 노면 간 마찰력을 저하시켜 제동거리를 증가시키고 주행 안전성을 저해하는 요인으로 작용한다. 기존 도 로 설계에서는 습윤 상태에서의 마찰계수를 기준으로 하지만, 측정 방식마다 수막두께 기준이 상이하여 적용에 한계가 있다. 본 연구에서는 RRL 및 Gallaway 수막두께 예측 모델을 활용하여 다양한 도로 및 기상 조건에서의 수막두께를 예 측하고, 실측 실험을 통해 신뢰도가 높은 모델을 선정한 후, Gallaway의 마찰계수 예측식을 적용하여 강우강도, 배수 거 리, 포장 경사, 노면 조직 깊이, 타이어 트레드 깊이에 따른 마찰계수 변화를 분석하였다. 연구 결과, 강우강도가 증가하 고 배수 거리가 길어질수록 수막두께가 증가하면서 마찰계수가 감소하는 경향을 보였으며, 반대로 포장 경사와 노면 조 직 깊이가 증가할 경우 배수 성능이 향상되어 수막두께가 얇아지고 마찰계수가 증가하는 것으로 나타났다. 이러한 마찰 계수 변화는 도로 안전성에 직접적인 영향을 미쳐, 강우가 심한 조건에서는 제동거리가 길어지고 곡선부에서는 더 큰 반 경이 필요해지는 것으로 분석되었다. 특히 설계속도가 높은 구간이나 수막두께가 깊이 형성되는 구간, 타이어 트레드 깊 이가 얕은 경우 현행 도로 설계 기준이 요구하는 정지 시거를 충족하지 못하는 사례가 발생하였으며, 곡선부에서도 동일 한 문제점이 확인되었다. 결과적으로 강우 조건을 반영한 도로 설계 기준의 보완이 필요하며, 배수 성능을 강화하고 마 찰력 저하를 방지할 수 있는 포장 기법을 적용하는 것이 요구된다. 또한, 강우 시 주행 안전성을 확보하기 위해 동적 속 도 제한 시스템 도입 및 유지관리 체계를 강화하고, 강우 조건을 고려한 정지 시거 및 곡선 반경 설계 기준을 마련함으 로써 도로 안전성을 향상시킬 필요가 있다.

The rotary type dust remover is a device in which the rake assembly filters and processes clumps in the water while rotating and repeating movements along the track. It is installed in the pump suction part of the drainage pump station and the rainwater pump station to protect the pump to ensure smooth drainage. Since the rake assembly plays a key role in filtering out complications while passing through the water, stainless steel is applied to all components constituting it, and damage or failure due to deformation causes a crisis in case of heavy rain. This is because the existing rake assembly is excellent in rigidity, but all components are assembled by welding, which takes a lot of time for repair and replacement. In this study, shape design for rakes and assemblies of the rotary type dust remover, structural analysis to secure reliability, and demonstration tests were conducted through prototype production. Through this, it is intended to help prevent the stiffness of the joint of the rotary type dust remover from deteriorating, reduce time and cost, and efficient operation.

In this paper, the design feasibility of the high-temperature rotation test jig for the operating state of gas turbine blades was confirmed through thermal structural analysis and modal analysis. The structural analysis model was composed of assembled blade, disc, cover, and shaft. Here, the disc was designed to be assembled with two types of blade. First, thermal analysis was performed by applying the blade surface temperature of 800°C. Next, structural analysis was performed at 3600 RPM, the normal operating condition, and 4320 RPM, the overspeed operation condition. Lastly, modal analysis was performed to examine the natural frequency and deformation of the jig. The FE analysis showed that the temperature decreased from the blade to disc dovetail. Additionally, both the blade and disc showed structural stability as the maximum stress was below the yield strength. Also, the first natural frequency was 636.35Hz and 639.43Hz at 3600RPM and 4320RPM, respectively, satisfying gas turbine design standards and guidelines. Ultimately, the designed test jig was confirmed to be capable of high temperature and rotation testing of various blades.

This study investigates the structural stability of a telescopic arm designed for a painting robot through finite element analysis (FEA). As factory automation progresses, robots are increasingly used to replace hazardous tasks like painting. However, the heavy weight of telescopic arms poses significant control challenges. This research specifically examines the structural stability of a 7.4-meter telescopic arm, designed for use in a 14m x 14m large-scale block painting environment. The telescopic arm consists of six steel links, each ranging from 700 mm to 1500 mm, and supports a 50 kg painting robot mounted at the end of Link 6. Using Dassault System’s Abaqus2022 software, simulations were performed in both stretched and rotated modes to analyze self-weight effects and structural stability. The results revealed maximum deflection of 92.3 mm in stretched mode and 127.3 mm in rotated mode, with the highest stress concentration of 416.8 MPa occurring at the Link 3 and Link 4 connection. To improve stability, additional reinforcement materials and an increase in connector thickness from 40 mm to 80 mm were applied, successfully reducing maximum stress to 94.3 MPa. These findings suggest an effective enhancement in the stability of the telescopic arm under various operational modes.

본 논문에서는 소성 설계를 기반으로 한 프레임 구조 설계 시, 기둥의 종류에 따른 구조 제작 비용과 거동의 차이를 연구하였다. 축 력과 횡력을 모두 받는 구조물에 적합한 기둥 부재를 선택하는 것이 중요하며, 플라스틱 설계 방법을 채택할 경우 기둥의 역할이 더욱 강조된다다. 특히, 횡력은 기둥의 연성을 요구하며, CFT(콘크리트 충전 강관)형 기둥은 RC(철근 콘크리트) 기둥보다 높은 강철 비율 로 연성을 확보하게 된다. 이 논문에서는 CFT 기둥이 RC 기둥보다 더 나은 성능을 보이는지 확인하기 위해 다양한 구조 유형에서 기 둥을 설계하고 분석하였다. CFT 기둥을 소성 설계에 채택함으로써 얻을 수 있는 이점은 다양한 구조 유형에 따른 하중 유형의 분석을 통해 제시한다.

This research introduces a novel probabilistic approach to consider the effects of uncertainty parameters during the design and construction process, providing a fresh perspective on the evaluation of the structural performance of reinforced concrete structures. The study, which categorized various random design and construction process variables into three groups, selected a two-story reinforced concrete frame as a prototype and evaluated it using a nonlinear analytical model. The effects of the uncertainty propagations to seismic responses of the prototype RC frame were probabilistically evaluated using non-linear dynamic analyses based on the Monte-Carlo simulation sampling with the Latin hypercube method. The derivation of seismic fragility curves of the RC frame from the probabilistic distributions as the results of uncertainty-propagation and the verification of whether the RC frame can meet the seismic performance objective from a probabilistic point of view represent a novel and significant contribution to the field of structural engineering.

This study was conducted to investigate the proper design of alpha board used to support concrete blocks under high loads. A board height of 50 mm was appropriate to ensure a deflection of 3 mm or less under a load of 5 tons. The trapezoidal shape of the vibration absorbers in the interior of the board reduced the maximum deflection by evenly distributing the deflection across the board width. The height of the board is the most important variable in preventing deflection, and for the same board height, adjusting the thickness of the top and bottom plates was more effective in reducing the amount of deflection than adjusting the thickness of the stiffener. The theoretical solution is a good tool for easily predicting the deflection of the board, as it shows a difference of 5 to 15% from the simulation results. However, as a 2D prediction model, the theoretical solution cannot represent the distribution of deflection over the entire board area, so the 3D simulations are necessary in predicting the amount of deflection over the entire board.

The recent surge in energy consumption has sharply increased the use of fossil fuels, leading to a steep rise in the concentration of greenhouse gases in the atmosphere. Interest in hydrogen is growing to mitigate the issue of global warming. Currently, hydrogen energy is transported in the form of high-pressure gaseous hydrogen, which has the disadvantages of low safety and energy efficiency. To develop commercial hydrogen vehicles, liquid hydrogen should be utilized. Liquid hydrogen storage tanks have supports between the inner and outer cylinders to bear the weight of the cylinders and the liquid hydrogen. However, research on the design to improve the structural safety of these supports is still insufficient. In this study, through a thermal-structural coupled analysis of liquid hydrogen storage tanks, the model with three supports, which had the lowest maximum effective stress in the outer tank, inner tank, and supports as proposed in the author's previous research, was used to create analysis models based on the diameter of the supports. A structurally safe design for the supports was proposed.

본 논문에서는 15차 bézier 곡선을 사용하여 기존의 연구보다 더 유연한 빔 형상을 설계하고, 더 넓은 설계 공간에서 최적 설계를 수 행하여 최적의 열전도도를 갖는 빔 형상을 설계한다. 설계 공간이 넓어지면 그 만큼 계산양이 증가하게 되는데, 고차원 변수 공간에서 효율적으로 작동하는 인공신경망을 사용하여 최적 설계를 가속화하여 계산 한계를 극복하였다. 더 나아가 최적의 탄성계수를 갖는 빔의 형상과 비교하였으며 열전도와 탄성학 사이의 수학적 유사성을 이용하여 빔 형상을 설명한다. 본 연구에서는 인공지능을 활용 한 형상 최적설계를 통해 기존의 한계를 뛰어넘는 격자구조의 빔 형상을 제안한다. 먼저, SC(Simple Cubic), BC(Body Centered Cubic) 격자 구조 빔 형상을 bézier 곡선으로 모델링하고 bézier 곡선의 제어점 좌표를 무작위로 설정하여 학습데이터를 확보하였다. NN(Neural Network) 및 GA(Genetic Algorithm)를 통해 우수한 유효 열전도도를 가진 빔 형상을 생성하여 최적의 빔 형상을 설계하였 다. 본 연구를 통해 추후 다양한 열 조건에서 격자구조의 적절한 구조적 해답을 제시할 수 있을 것으로 기대된다.

공항은 다른 어떤 기반시설보다 복잡하고 사고시 매우 치명적이기 때문에 공항 계획/설계시 운영적인 측면을 고려한 면밀한 검토가 필요하다. 공항 건설이후 실제 항공기가 어떻게 운영되는지 시뮬레이션하고 문제점을 사전에 예측함으로써 항공기 운항 안전성을 확보할 수 있기 때문이다. 최근 도로/공항의 경우 디지털 트윈 기반의 시뮬레이션 프로그램으로 설계, 분석하는 사례가 많다. 이러한 기조에 맞춰 공항에서도 시뮬레이션 프로그램인 AviPLAN을 활용하여 에어사이드 배치 설계를 수행하고 있으며, 인천국제공항공사와 한국공항공사에서도 활용하고 있다. 본 연구에서는 기존 국내외 공항에 AviPLAN 프로그램을 활용하여 최적화 설계를 수행하였고 산출된 포장물량 절감사례를 바탕으로 에어사이드 시설 배치가 얼마나 중요한지 확인하고자 하였다.

In this study, the design of fuel tank for SUVs (sports utility vehicles) was addressed through structural FE-simulation. For safety evaluation, we performed a shape analysis of fuel tank, discovered improvement measures for weak areas, and reflected them in the fuel tank design. Additionally, a strength analysis was conducted and the analysis results were reflected in the design. As a result of analysis through various design changes, it was possible to propose an appropriate fuel tank shape. Additionally, the effect of changes in the shape of the reinforcement and mounting bracket on the stiffness and strength of the fuel tank bracket was investigated.

In this study, the design of parking brake mounting bracket for SUVs (sports utility vehicles) was handled through structural analysis. For safety evaluation, we conducted a shape analysis of parking brake mounting bracket, discovered improvement measures for weak areas, and reflected them in the design. In addition, a strength analysis was performed and the analysis results were reflected in the design. As a result of analysis through various design changes, it was possible to suggest an appropriate parking brake mounting bracket shape. In addition, the effect of changes in the shape of the reinforcement and mounting bracket on the stiffness and strength of the parking brake mounting bracket was investigated.

The design variables and material properties as well as the external loads concerned with structural engineering are used to be deterministic in optimization process. These values, however, have variability from expected performance. Therefore, deterministic optimum designs that are obtained without taking these uncertainty into account could lead to unreliable designs, which necessitates the Reliability-Based Design Optimization(RBDO). RBDO involves an evaluation of probabilistic constraints which constitutes another optimization procedure. So, an expensive computational cost is required. Therefore, how to decrease the computational cost has been an important challenge in the RBDO research field. Approximation models, response surface model and Kriging model, are employed to improve an efficiency of the RBDO.

In this study, we propose an optimal design method by applying the Prefabricated Buckling Restrained Brace (PF-BRB) to structures with asymmetrically rigidity plan. As a result of the PF-BRB optimal design of a structure with an asymmetrically rigidity plan, it can be seen that the reduction effect of dynamic response is greater in the case of arrangement considering the asymmetric distribution of stiffness (Asym) than in the case of arrangement in the form of a symmetric distribution (Sym), especially It was confirmed that at an eccentricity rate of 20%, the total amount of reinforced PF-BRBs was also small. As a result of analyzing the dynamic response characteristics according to the change in eccentricity of the asymmetrically rigidity plan, the distribution of the reinforced PF-BRB showed that the larger the eccentricity, the greater the amount of damper distribution around the eccentric position. Additionally, when comparing the analysis models with an eccentricity rate of 20% and an eccentricity rate of 12%, the response reduction ratio of the 20% eccentricity rate was found to be large.