In the present study, the inertial electromagnetic actuator (IEA) and the FxLMS (filtered-x least mean square) method were applied to study vibration control using the active mount. IEA was designed and manufactured for the experiment, and FxLMS algorithm was developed to evaluate control performance and mount dynamic characteristics. For the vibration control experiment, active mounts were installed at the top and bottom, and the lower active mount controls the force transmitted to the structure by the excitation signal from the upper active mount. The experiment was performed by simultaneously exciting three frequencies in three axes. From the experimental results, it was confirmed that the force measured at the lower active mount when the actuator is off is greatly reduced when the actuator is on, and that vibration reduction in the vertical z-axis is more effective than vibration reduction in the x-y plane.

New motor development requires high-speed load testing using dynamo equipment to calculate the efficiency of the motor. Abnormal noise and vibration may occur in the test equipment rotating at high speed due to misalignment of the connecting shaft or looseness of the fixation, which may lead to safety accidents. In this study, three single-axis vibration sensors for X, Y, and Z axes were attached on the surface of the test motor to measure the vibration value of vibration. Analog data collected from these sensors was used in classification models for anomaly detection. Since the classification accuracy was around only 93%, commonly used hyperparameter optimization techniques such as Grid search, Random search, and Bayesian Optimization were applied to increase accuracy. In addition, Response Surface Method based on Design of Experiment was also used for hyperparameter optimization. However, it was found that there were limits to improving accuracy with these methods. The reason is that the sampling data from an analog signal does not reflect the patterns hidden in the signal. Therefore, in order to find pattern information of the sampling data, we obtained descriptive statistics such as mean, variance, skewness, kurtosis, and percentiles of the analog data, and applied them to the classification models. Classification models using descriptive statistics showed excellent performance improvement. The developed model can be used as a monitoring system that detects abnormal conditions of the motor test.

PURPOSES : The tire-pavement interaction noise (TPIN) comprises four sources, among which the tire tread vibration noise (TTVN) and air pumping noise (APN) are known to be the most influential. However, when evaluating TPIN, the noise level is estimated based on the overall noise, because general noise measurement methods cannot separate TTVN and APN. Therefore, this study aims to develop a method to separate TTVN and APN in TPIN for quantitative assessment of pavement noise. METHODS : Based on the results of our literature review and frequency band noise data measured in our study, we identified the dominant frequency ranges for TTVN and APN. Additionally, we evaluated TTVN and APN across various pavement types. RESULTS : TTVN was found to be dominant in frequency bands below 800 Hz, while APN was dominant in frequency bands above 800 Hz. Additionally, regardless of the vehicle type, vehicle speed, or pavement type, APN exhibited higher levels compared to TTVN. This result shows that APN has a more significant impact on TPIN than TTVN. CONCLUSIONS : The separation method of TTVN and APN proposed in this study can be utilized to quantitatively assess the relationship between the primary noise sources in TPIN and the characteristics of pavement texture in future research. Furthermore, it is anticipated that characteristics of low TPIN and optimal texture conditions can be proposed to mitigate TPIN, thus contributing to the development of lownoise pavements.

This paper introduces a study on measuring the 3D vibration displacement of plate structure using Digital Image Correlation (DIC) applied to stereo digital continuous camera images. The proposed method is a non-contact 3D displacement measurement method that does not require physical sensors to be attached to the structure, and it has the advantage of simultaneously measuring dynamic displacements at multiple points on the structure. Theoretically, multiple cameras can be used, but in this study, two cameras were used to capture continuous images of the vibrating structure, and the image coordinates of multiple tracking points at arbitrary positions on the structure were measured using correlation matching. Using these image coordinates as input data, the dynamic 3D positions were calculated through Space intersection, successfully determining the 3D dynamic displacements. The measured dynamic displacements were validated for accuracy by comparing them with values measured by laser displacement sensors. And frequencies of measured data were validated by comparing with computational modal analysis by Finite Element Model (FEM).

국내 특수교 대부분은 사장교와 현수교로 케이블 교량 형식이다. 특수교는 규모 면에서 가장 유지관 리가 우선시 되는 사회 기반 시설물로 장기적이고 체계적인 유지관리 전략이 필요한 구조물이다. 다시 말해서는 케이블 교량은 대부분 사용 수명이 100년 이상 되는 교량으로 일반적인 중·소규모 교량의 유지관리와는 차별화된 관리가 요구되고 있다. 케이블 교량에서 구조물 상부를 지지하는 케이블은 주 요 부재이므로 구조물의 안전성을 확보하기 위해서는 케이블에 대한 철저한 유지관리가 필요하다. 진 동에 의한 피로 손상은 케이블 사용 수명을 단축하게 하는 주요 원인으로, 풍하중으로 인해 발생한 케 이블 과진동(풍우진동, 웨이크 갤로핑, 지점 가진에 의한 진동 등)은 교량의 안전성에 영향을 미쳐 붕 괴 사고로도 이어질 수 있다. 국내외적으로도 케이블 시스템의 과진동 및 이로 인한 건전성 확보 문제 가 지속해서 대두되고 있는 실정이다. 케이블 진동에 영향을 미치는 풍하중은 정적 풍하중과 동적 풍 하중을 구분할 수 있으며 풍하중 종류를 고려하여 케이블 제진 대책을 마련해야 한다. 한편, 케이블 교량 유지관리 업무에서는 구조해석과 같은 공학적인 판단뿐만 아니라 전문가 경험에 의한 판단도 중 요한 요소로 유사 교량 형식의 사례 조사에 의한 분석도 요구된다. 본 연구에서는 케이블 교량에서의 풍하중에 의한 진동 발생 원인별 사례 및 그에 따른 풍하중에 대한 제진 대책 적용 사례를 조사하였 고, 이를 통해 케이블 교량의 유지관리 업무에 활용될 수 있도록 소개하고자 한다.

This study numerically compares optimum solutions generated by element- and node-wise topology optimization designs for free vibration structures, where element-and node-wise denote the use of element and nodal densities as design parameters, respectively. For static problems optimal solution comparisons of the two types for topology optimization designs have already been introduced by the author and many other researchers, and the static structural design is very common. In dynamic topology optimization problems the objective is in general related to maximum Eigenfrequency optimization subject to a given material limit since structures with a high fundamental frequency tend to be reasonable stiff for static loads. Numerical applications topologically maximizing the first natural Eigenfrequency verify the difference of solutions between element-and node-wise topology optimum designs.

The aim of this study is to evaluate the possibility of damage to cultural assets resulting from vibrations generated by construction vehicle traffic. The cultural heritage's natural vibration frequency was determined to be 150Hz by measurement. The damping ratios were calculated as 4.7% using the logarithmic decrement approach and 4.3% using the half-power method. The vibration measurements obtained during vehicle operation indicated that, despite an increase in vehicle velocity of up to 15 km/h, the vibrations remained below the detectable level of 0.13 mm/sec. When the road is curved and the terrain is sloped, a suitable speed for vehicle operation was found to be around 17 km/h, at which point vibrations were seen. The highest recorded vibration amplitude at this velocity was 0.217 mm/sec, which remains below the stringent regulation limit of 2 mm/sec. Thus, it can be concluded that there is no actual harm caused by vibrations.

해상풍력발전 시장의 성장과 함께 해상풍력발전기 설치 선 시장에 대한 기대감이 커지고 있다. 해상풍력발전 시장 내 2030년까 지 약 100척의 설치 선이 필요할 것으로 전망되고 있다. 척당 가격이 3,000∼4,000억 원이라서 일반 운반선보다 고부가가치 시장이다. 특 히, 풍력발전기 용량이 11MW 이상의 대형 설치 선의 수요가 커지고 있다. 중국을 중심으로 아시아 해상풍력발전기 시장의 급성장으로 이 지역에서 운용 가능한 설치 선에 대한 발주에 대한 협의가 많다. 아시아권역 대부분의 해저 지질은 지지 반력이 작은 점토층으로 구성되 어 있다. 이러한 특성에 의해서 설치 선이 작업을 위해 수면 밖으로 오르고 내림 시 스퍼드캔(Spudcan)과 레그(Leg)의 관입 깊이가 크게 발 생한다. 연구에서는 최소 3m에서 최대 21m까지 관입 변수를 이용하여 관입 깊이에 따른 고유 진동 주기, 레그의 구조 안전성 평가 그리고 전복 안전성 지수를 평가하였다. 관입 깊이가 증가하면 고유 진동 주기가 짧아지고, 레그의 모멘트 길이가 짧아져서 구조 강도의 여유 치 가 증가한다. 모든 입사각에서 전복 모멘트에 대해 안전하며, 최댓값은 270도에서 발생한다. 본 연구를 통하여 검토된 조건들은 연약 지반 에서 설치 선의 운용 절차서를 작성 시 관입 깊이에 따라서 레그를 어떻게 운용해야 하는지 판단할 수 있는 중요한 자료로 활용할 수 있 다. 결론적으로 관입 깊이에 따른 레그 구조 안전성을 정확히 파악하는 것은 설치 선의 안전과 직결된 문제이다.

In this study, theoretical analyses are performed to investigate the characteristics of the static and dynamic stiffness of a nonlinear vibration isolator system. The vibration isolator system is modeled as an equivalent nonlinear oscillator. Based on the model, the static equilibrium and frequency response solutions are obtained with the variations of external static load and/or system parameters. It is shown that the static stiffness of the nonlinear vibration isolator tends to be hardened with the increase of external static load, which prevents the occurrence of excessively large deflection. This static stiffness-hardening effect is more remarkable with a larger spring constant ratio. The dynamic stiffness is also strengthened when the spring constant ratio increases, which enlarges the force transmissibility and reduces the isolation frequency bandwidth. Thus, the static stiffness- hardening improves the robustness of the nonlinear vibration isolator, whereas the dynamic stiffness-hardening rather degrades its performance. Thus, the opposite tendency of the static and dynamic stiffness-hardening effects should be considered in the design process of the nonlinear vibration isolator.

This study deals with the vibration transmissibility of a vibration isolation device, which is composed of frictional damping and nonlinear softening springs, when its base is harmonically excited. The SCAP method, a type of averaging method, is employed to obtain steady-state responses. The vibration characteristics due to excitation of the base are investigated through the analysis of displacement transmissibility in the steady-state response. In this process, displacement transmissibility for design parameters is analyzed, and the stability of the response is also investigated. The vibration isolation effect due to frictional damping is found to be more effective in the case of the softening spring than in the case of the hardening spring. Additionally, the pattern of the jump phenomenon observed during frequency sweeping, both upward and downward, has been identified.

In the case of a rear-wheel drive vehicle, a propeller shaft is installed to transmit the driving force of the engine. At this time, the propeller shaft is divided into 2 or 3 pipes, and the bearing is mounted on the vehicle body. And the end of the propeller shaft is connected to the rear differential and connected to the body through the chassis. Due to this complex structure, the propeller shaft must be highly balanced and the mounting angle must be well maintained. However, depending on the driving conditions of the car, various noise and vibration problems occur due to the aging of the parts and the propeller shaft. Hyundai Motor Company's maintenance center uses 'Noise Observer' to resolve various noise and vibration customer complaints. This paper describes the mechanism of vibration problems caused by unbalance of the propeller shaft and the diagnosis process using a 'Noise Observer'.

Since ships are exposed to noise and vibration for a long time in seas isolated from land, the stress of workers is high, requiring studies on the improvement of the problem. In addition, the health of crew members on fishing vessels, unlike commercial ships, carrying out fishing activities is closely related to fishing performance. However, considering that most of IMO's guidelines apply to merchant ships, provisions should be made for vibration in accommodation areas of fishing vessels. Accordingly, this study, applying the revised ISO 20283-5:2016 standard and through experiment, investigated the vibration characteristics of the accommodation area for each operating conditions of a 1000-ton trawler fishing vessel. Within the scope of the study and the full-ahead mode, the vibration was highest in the engine control room (4.17mm/s) while the acceptable standard was satisfied sufficiently in all conditions. Application of the merchant vessel vibration standard to fishing vessel is expected to improve the working environment of fishing vessel crew members.

A comparison and validation between the analysis and vibration test data of a nuclear fuel assembly were conducted. During the comparison and validation process, various parameters that govern the vibration behavior of the fuel assembly were determined, including nuclear fuel rod’s stiffness, spring constants of the dimple and spring of support structures, and damping coefficients. The calibration of the vibration analysis model aimed to find analysis parameters that can accurately simulate the vibration behavior of the test data. For calibration, power spectral density (PSD) diagrams were generated for both the measured signals from the test and the calculated signals from the analysis. The correlation coefficient between these two PSD plots was calculated. To find the analysis parameters, each parameter was defined as a variable with an appropriate range. Latin hypercube sampling was used to generate multiple sample points in the variable space. Analysis was performed for the generated sample points, and PSD plot correlation coefficients were calculated. Using the generated sample points and their corresponding results, a Gaussian Process Regression model was implemented for PSD plot correlation coefficients and the maximum PSD value. Based on the constructed surrogate model, the optimal analysis parameters were easily found without additional computations. Through this method, it was confirmed that the analysis model using the optimal parametes appropriately simulates the vibration behavior of the test.

장대교량은 낮은 고유진동수와 감쇠비를 가지는 초유연구조물로 진동사용성 문제에 취약하다. 하지만 현재 국내 설계지침에서는 풍속이나 진폭에 대한 임계값을 기반으로 유해진동 발생 여부를 평가하고 있다. 본 연구에서는 장대교량에서 발생하는 유해진동을 보다 정교하게 식별하기 위하여 딥러닝 기반 신호분할 모델을 활용한 데이터 포인트 단위의 와류진동 식별 방법론을 제안한다. 특별 히 포락선을 가지는 사인파를 활용하여 와류진동에 해당하는 데이터를 합성함으로써 모델 구축에 필수적인 와류진동 데이터 획득 및 라벨링 과정을 대체하였다. 이후 푸리에 싱크로스퀴즈드 변환를 적용하여 시간-주파수 특징을 추출하여 신경망의 인풋 데이터로 사 용하였다. 합성데이터만을 이용하여 양방향 장단기 기억신경망(Bidirectional Long-Short-Term-Memory) 모델을 훈련하였고 이를 라 벨 정보를 포함한 실제 사장교의 계측데이터를 이용하여 학습한 모델과 비교하여 모델의 실시간 와류진동 식별 성능을 검증하였다.

Background: A decrease in physical activity has been observed due to the global pandemic, resulting in the onset and progression of musculoskeletal disorders as chronic diseases. Objectives: This study aimed to assess the difference in the degree of contraction of the lower limb muscles between the existing vertical vibration method and a new cross-vibration method. Design: Randomized controlled trial. Methods: The exercise program using whole-body vibration equipment was conducted for 12 sessions, 25 min per session, three times per week for 4 weeks. Results: The changes over time showed a significant difference in cross-alternating vibrations (P<.05), except for the lateral gastrocnemius and tibialis anterior, with no significant difference in sonic vertical vibration (P>.05). The interaction between time and group was significant for all muscles (P<.05), except for the biceps femoris, with differences between before the program and at 2 and 4 weeks after the program revealed in the post-hoc analysis. Conclusion: Future studies should further evaluate the use of CAV exercise devices as auxiliary equipment in exercise by assessing different groups and variations in intensity.