목적 : 누진 가입도 안경 착용자의 안경테의 크기와 얼굴 형태에 적합한 안경테를 비교하여 안경테 크기와 신체 적(역학적) 불편감 사이의 연관성을 조사하였다. 방법 : 누진 가입도 안경 착용자 중 안경의 피팅 상태가 적절한 71명(남성 37명, 여성 34명, 평균 54.52±8.78 세)이 참여하였고, 신체적 불편감을 설문지로 조사하였다. 안경테 크기를 FHD(front horizontal dimension), FTB(front to bend), LOD(length of drop) 및 TL(temple length)로 확인하였다. 얼굴 형태를 계측한 후 얼굴에 적합한 안경테 크기를 계산하였고, 착용하고 있는 안경테 크기와 비교하였다. 결과 : 신체적 불편감의 정도는 관자놀이 눌림, 흘러내림, 코 눌림, 귀 눌림 순으로 높았으며, 불편함을 경험한 비율은 흘러내림, 코 눌림, 귀 눌림, 관자놀이 눌림 순으로 높았다. 착용한 안경테의 FHD는 남녀 모두 얼굴 계측 으로 계산한 안경테 설계값보다 작았다(p=0.001). 착용한 안경테의 FTB는 남녀 모두 안경테 설계값보다 작았으 며, 착용한 안경의 LOD는 설계값보다 컸고 여성은 남성보다 길었다(all, p=0.001). 결론 : 착용한 남녀 안경의 FHD는 얼굴 형태에 비해 작아 관자놀이 눌림의 원인이 될 수 있고, 측면부 LOD는 얼굴에 비해 커서 흘러내림과 코 눌림의 원인이 될 수 있다. 얼굴 형태에 적합한 안경테 크기를 선택할 수 있도록 안경테의 FHD와 측면부 전체 길이(FTB+LOD)가 여러 사이즈로 제작되어야 할 것이다.

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.

Recently, Car weight reduction has become an important development goal to improve fuel efficiency. Car seat frame is a key part of the weight reduction. Existing steel seat frames have the advantages of high rigidity and durability, but have the disadvantage of heavy weight. Recently, Almag material, which are alloy of aluminum and magnesium, is attracting attention because of excellence in strength and weight reduction. At first, the core stiffness members of the seat frame are selected to optimize the weight of the seat frame. And then strength analysis and natural frequency analysis are performed for the existing steel seat frame and Almag seat frame. Based on these analysis results, optimal thickness of the Almag seat frame are determined by an automation program using a genetic algorithm.

Background: Standing frames are a common intervention for children with cerebral palsy (CP), yet there is a lack of standardized dosing recommendations, impeding the enhancement of treatment outcomes in this population. Objects: This paper aims to optimize dosing strategies for standing frame programs in children with CP. It evaluates effective durations and frequencies for using standing frames to improve gait, hip joint integrity, functional activities, joint range of motion, and muscle tone. The goal is to provide evidence-based clinical recommendations to guide practitioners in treating pediatric CP patients. Methods: A comprehensive research was conducted across seven databases, yielding 23 studies meeting inclusion criteria. Strength of evidence was assessed using established tools. Clinical recommendations were formulated based on the amalgamation of existing evidence. Results: The paucity of evidence-based dosing recommendations for children with CP supported standing device is highlighted in this review. Key findings suggest that standing frames implemented 5 days per week demonstrate positive effects on gait (45 minutes/day, 3 times/ week), hip joint integrity (60 minutes/day), functional activities (60 minutes/day in 30° to 60° of bilateral hip abduction), joint range of motion (60 minutes/day), and muscle tone (30 minutes/day). Conclusion: This systematic review of the treatment regimens for children with CP is providing useful insights to the dosing strategies of standing frames. The evidence supports a 30–60 minutes per day and 3–5 days a week intervention with specified durations for optimal outcomes. In enhancing the effectiveness of standing frames, as well as promoting evidencebased practices in the management of children with CP, these clinical recommendations offer guidance for practitioners.

Existing reinforced concrete (RC) building frames constructed before the seismic design was applied have seismically deficient structural details, and buildings with such structural details show brittle behavior that is destroyed early due to low shear performance. Various reinforcement systems, such as fiber-reinforced polymer (FRP) jacketing systems, are being studied to reinforce the seismically deficient RC frames. Due to the step-by-step modeling and interpretation process, existing seismic performance assessment and reinforcement design of buildings consume an enormous amount of workforce and time. Various machine learning (ML) models were developed using input and output datasets for seismic loads and reinforcement details built through the finite element (FE) model developed in previous studies to overcome these shortcomings. To assess the performance of the seismic performance prediction models developed in this study, the mean squared error (MSE), R-square (R2), and residual of each model were compared. Overall, the applied ML was found to rapidly and effectively predict the seismic performance of buildings according to changes in load and reinforcement details without overfitting. In addition, the best-fit model for each seismic performance class was selected by analyzing the performance by class of the ML models.

In the development of eco-friendly vehicles such as electric vehicles, weight reduction has become a very important design target. Seat weight reduction is very important in vehicle weight reduction. In this study, the energy absorption characteristics of Almag material, an alloy of aluminum and magnesium, and mild steel SAFH440, SAFH590, SAFC780, and SAFH980 were analyzed to obtain a true stress versus true strain curve that was correlated with the test. By performing the seat frame structure analysis using the obtained analysis material property, it was possible to compare the deformation between lightweight material, Almag and mild steel materials. In addition, it was confirmed that the weight reduction effect was 25.8% when applying Almag, an equivalent lightweight material that gives the same maximum deformation as SAFH980, a high-strength mild steel.

In this paper, machine learning models were applied to predict the seismic response of steel frame structures. Both geometric and material nonlinearities were considered in the structural analysis, and nonlinear inelastic dynamic analysis was performed. The ground acceleration response of the El Centro earthquake was applied to obtain the displacement of the top floor, which was used as the dataset for the machine learning methods. Learning was performed using two methods: Decision Tree and Random Forest, and their efficiency was demonstrated through application to 2-story and 6-story 3-D steel frame structure examples.

This study presents code-compliant seismic details by addressing dry mechanical splices for precast concrete (PC) beam-column connections in the ACI 318-19 code. To this end, critical observations of previous test results on precast beam-column connection specimens with the proposed seismic detail are briefly reported in this study, along with a typical reinforced concrete (RC) monolithic connection. On this basis, nonlinear dynamic models were developed to verify seismic responses of the PC emulative moment-resisting frame systems. As the current design code allows only the emulative design approach, this study aims at identifying the seismic performances of PC moment frame systems depending on their emulative levels, for which two extreme cases were intentionally chosen as the non-emulative (unbonded self-centering with marginal energy dissipation) and fully-emulative connection details. Their corresponding hysteresis models were set by using commercial finite element analysis software. According to the current seismic design provisions, a typical five-story building was designed as a target PC building. Subsequently, nonlinear dynamic time history analyses were performed with seven ground motions to investigate the impact of emulation level or hysteresis models (i.e., energy dissipation performance) on system responses between the emulative and non-emulative PC moment frames. The analytical results showed that both the base shear and story drift ratio were substantially reduced in the emulative system compared to that of the non-emulative one, and it indicates the importance of the code-compliant (i.e., emulative) connection details on the seismic performance of the precast building.

In recent automobile development, vehicle weight reduction has become a very important goal. Seat weight reduction is a large portion of vehicle weight reduction. In this study, a specimen tensile tests were conducted on the Almag material, which is an alloy of aluminum and magnesium, and also conducted on SAFH440, SAFH 590, SAFC780, and SAFH980, which are mild steel materials used in the seat frame. The tensile specimen tests were carried out in two speed; 2mm/s and 4mm/s, and the obtained stress to strain curve was converted to the analysis material card of true stress to true strain curve to be used in the seat structural analysis. The constructed analysis material card was used in the specimen tensile finite element analysis, and the analysis result was able to obtain the stress to strain curve similar to the test result.

내화 구조물에서는 환기 계수, 재료 탄성 계수, 항복 강도, 열팽창 계수, 외력 및 화재 위치에서 불확실성이 관찰된다. 환기 불확실성 은 화재 온도에 영향을 미치고, 이는 다시 구조물 온도에 영향을 미친다. 이러한 온도는 재료 특성과 함께 불확실한 구조적 응답으로 이어지고 있다. 화재 시 구조적 비선형 거동으로 인해 몬테카를로 시뮬레이션을 사용하여 화재 취약성을 계산하는데, 이는 시간이 많 이 소요된다. 따라서 머신러닝 알고리즘을 활용해 화재 취약성 분석을 예측함으로써 효율성을 높이고 정확성을 확보하려는 연구가 진행되고 있다. 이 연구에서는 화재 크기, 위치, 구조 재료 특성의 불확실성을 고려하여 철골 모멘트 골조 건물의 화재 취약성을 예측 했다. 화재 시 비선형 구조 거동 결과를 기반으로 한 취약성 곡선은 로그 정규 분포를 따른다. 마지막으로 제안한 방법이 화재 취약성 을 정확하고 효율적으로 예측할 수 있음을 보여주었다.

Recently, the occurrence frequency of earthquake has increased in Korea, and the interests for seismic reinforcement of existing school buildings have been raised. To this end, the seismic performance evaluations for school buildings that did not accomplish the seismic design are required. In particular, this study checks the eigenvalue analysis, pushover curves, maximum base shears, performance points and story drift ratios, and then analyzes the seismic performance characteristics according to bracing configuration of steel frame system reinforcement. Also, this study presents the practical field application methods through the comparison of analysis results for the seismic performance characteristics.

Existing reinforced concrete buildings with seismically deficient details have premature failure under earthquake loads. The fiber-reinforced polymer column jacket enhances the lateral resisting capacities with additional confining pressures. This paper aims to quantify the retrofit effect varying the confinement and stiffness-related parameters under three earthquake scenarios and establish the retrofit strategy. The retrofit effects were estimated by comparing energy demands between non-retrofitted and retrofitted conditions. The retrofit design parameters are determined considering seismic hazard levels to maximize the retrofit effects. The critical parameters of the retrofit system were determined by the confinement-related parameters at moderate and high seismic levels and the stiffness-related parameters at low seismic levels.

목적 : 본 연구의 목표는 서울지역 20대 MZ세대 집단이 인식하는 해외 안경테 브랜드 국가의 감성의미를 도출 하는 것이다. 방법 : 먼저 연구 대상으로 이탈리아, 프랑스, 미국, 일본 4개국을 선정하였다. 의미분별법을 이용하여 감성어 휘 8개를 추출한 다음, 설문조사와 통계처리를 통하여 각각의 국가별로 해당되는 감성어휘를 결정하였고, 해외 안 경테 브랜드 국가에 대한 선호도 조사를 추가로 실시하였다. 결과 : 이탈리아, 프랑스, 미국, 일본의 4가지 해외 안경테 브랜드 국가들에 대하여 각각 고급스러움, 매력적 임, 실용적임, 동양적임이라는 감성어휘를 가장 많이 선택하였다. 안경테에 대한 선호도 순위는 이탈리아, 프랑스, 미국, 일본 순으로 나타났다. 결론 : 도출된 감성어휘들과 응답자들의 선호도를 분석했을 때, 고급스러움과 디자인적 측면을 중시하는 MZ세 대의 플렉스 소비 성향에는 이탈리아와 프랑스 브랜드의 안경테가 가정 적합한 것으로 여겨진다.

For fast-built and safe precast concrete (PC) construction, the dry mechanical splicing method is a critical technique that enables a self-sustaining system (SSS) during construction with no temporary support and minimizes onsite jobs. However, due to limited experimental evidence, traditional wet splicing methods are still dominantly adopted in the domestic precast industry. For PC beam-column connections, the current design code requires achieving emulative connection performances and corresponding structural integrity to be comparable with typical reinforced concrete (RC) systems with monolithic connections. To this end, this study conducted the standard material tests on mechanical splices to check their satisfactory performance as the Type 2 mechanical splice specified in the ACI 318 code. Two PC beam-column connection specimens with dry mechanical splices and an RC control specimen as the special moment frame were subsequently fabricated and tested under lateral reversed cyclic loadings. Test results showed that the seismic performances of all the PC specimens were fully comparable to the RC specimen in terms of strength, stiffness, energy dissipation, drift capacity, and failure mode, and their hysteresis responses showed a mitigated pinching effect compared to the control RC specimen. The seismic performances of the PC and RC specimens were evaluated quantitatively based on the ACI 374 report, and it appeared that all the test specimens fully satisfied the seismic performance criteria as a code-compliant special moment frame system.

This study presents a dry precast concrete (PC) beam-column connection, and its target seismic performance level is set to be emulative to the reinforced concrete (RC) intermediate moment resisting frame system specified in ACI 318 and ASCE 7. The key features include self-sustaining ability during construction with the dry mechanical splicing method, enabling emulative connection performances and better constructability. Test specimens with code-compliant seismic details were fabricated and tested under reversed cyclic loading, which included a PC beam-column connection specimen with dry connections and an RC control specimen. The test results showed that all the specimens failed in a similar failure mode due to plastic deformations in beam members, while the hysteretic response curve of the PC specimen showed comparable and emulative performances compared to the RC specimen. Seismic performance evaluation was quantitatively addressed, and on this basis, it confirmed that the presented system can fully satisfy all the required performance for the intermediate RC moment resisting frame.

In this study, the performance evaluation of the RC frame specimen (RV2) which was strengthened by a steel frame and a steel damper with the lateral deformation prevention details proceeded. The comparison objects are bare frame specimen (BF), RV2 and AWD, where AWD is a specimen reinforced with steel damper and aramid fiber sheets. In the evaluation of envelope curve, stiffness degradation, and energy dissipation capacity, RV2 was evaluated to have excellent capacity as a whole. To evaluate the strengthening effect of the steel frame based on the maximum strength and energy dissipation capacity, it was evaluated to have a 38% of the RV2’s capacity.

강진은 적절한 내진 설계 기술이 적용되지 않으면 건물 붕괴로 인하여 극심한 피해가 발생할 수 있다. 이를 해결할 수 있는 면진 기술은 구조물과 지반 사이에 베어링 장치를 적용하여 지진 에너지를 흡수하고 건물에 전달되는 진동을 감쇠한 다. 본 연구는 고무 마찰 베어링 장치의 구조물 적용성을 검증하고 지진으로부터 안전성을 확보하기 위하여 고무 마찰 베어링 프레임 구조물에 대한 수치해석을 수행하였다. 수치해석 결과로써 최대 지붕 가속도와 총 밑면 전단력이 감소되어 내진 성능을 확인하였다. 또한, 최대 층간 변위 및 최대 잔류 층간 변위에 대한 분석 결과로 프레임 구조물을 경제적 복구 수준의 결과를 도 출하여 고무 마찰 베어링 장치의 우수한 내진 성능을 확인하였다.