PURPOSES : This study aims to evaluate the vertical displacement caused by differential drying shrinkage in concrete pavements within tunnels under various independent variables using structural analysis. METHODS : The behavior of differential drying shrinkage was assessed based on literature reviews of slab thickness and atmospheric humidity. The equivalent linear temperature difference (ELTD) values were analyzed using regression analysis. A three-dimensional solid element model of a two-lane highway tunnel section with six slabs was created using the ABAQUS finite element program by referring to standard drawings. Dowels and tie bars were placed in accordance with the highway standards of the Korean Highway Corporation. RESULTS : The results of a finite element analysis revealed no significant difference in vertical displacement owing to the type of slab base. However, thicker slabs exhibited a smaller vertical displacement. Additional dowels installed at the shoulder of the driving lane did not significantly inhibit vertical displacement. A narrower joint spacing resulted in a smaller vertical displacement. A comparison with field data from Tunnel A showed that the amount of differential drying shrinkage varied with the relative humidity of the atmosphere during different seasons. CONCLUSIONS : Increasing the slab thickness and reducing the joint spacing can improve driving performance by mitigating differential drying shrinkage during dry winter conditions. Future research will involve the creation of indoor test specimens to further analyze the behavior of differential drying shrinkage under varying conditions of relative humidity, slab base moisture, and wind presence.

PURPOSES : For most local governments, including that of Gangwon-do, the establishment of an organized pavement management system is insufficient, resulting in problems such as inefficient distribution and use of maintenance budgets for deteriorated road pavements. In this study, we aimed to contribute to the establishment of a more reasonable road maintenance strategy by developing a model for predicting the annual international roughness index (IRI) change for national highway asphalt pavements in Gangwon-do based on big data analysis. METHODS : Data on independent and dependent variables used for model development were collected. The collected data were subjected to exploratory data analysis (EDA) and data preprocessing. Independent variable candidates were selected to reduce multicollinearity through correlation analysis and specific conditions. A final model was selected, and sensitivity analysis was performed. RESULTS : The final model that predicts annual IRI change uses independent variables such as annual temperature range, minimum temperature, freeze-thaw days, IRI, surface distress (SD), and freezing days. The sensitivity analysis confirmed that the annual IRI change was affected in the order of annual temperature range, minimum temperature, freeze-thaw days, IRI, SD, and freezing days. CONCLUSIONS : Road maintenance can be performed rationally by predicting future pavement conditions using the model developed in this study. The accuracy of the prediction model can be improved if additional data, such as material properties and pavement thickness, are obtained in future studies.

PURPOSES : The initial smoothness of concrete pavement surfaces must be secured to ensure better driving performance and user comfort. The roughness was measured after hardening the concrete pavement in Korea. When the initial roughness is poor, relatively large-scale repair works, such as milling or reconstruction must be performed. Hence, a method to measure the roughness of the concrete pavements in realtime during construction and immediately correct the abnormal roughness was developed in this study. METHODS : The profile of a concrete pavement section was measured at a construction site using sensors that were attached to the tinning equipment of the paver. The measured data included outliers and noise caused by the sensor and vibration of the paving equipment, respectively, which were further calibrated. Consequently, the calibrated data were input into the ProVAL program to calculate the roughness based on the international roughness index (IRI). Additionally, the profile of the section was re-measured using another method to verify the reliability of the calculated IRI. RESULTS : The profile data measured at the concrete pavement construction site were calibrated using methods, such as overlapped boxplot outlier removal and low-pass filtering. The outlier data from the global positioning system (GPS), which was installed to identify the construction distance, was also calibrated. The IRI was calculated using the ProVAL program by matching the measured profile and GPS data, and applying the moving average method. The calculated IRI was compared to that measured using another method, and the difference was within the tolerance. CONCLUSIONS : A method to measure the roughness of the concrete pavements in real time during construction was developed in this study. Hence, the performance of concrete pavements can be improved by enhancing the roughness of the pavement considerably using the aforementioned method.

PURPOSES : This study aims to develop and evaluate computer vision-based algorithms that classify the road roughness index (IRI) of road specimens with known IRIs. The presented study develops and compares classifier-based and deep learning-based models that can effectively determine pavement roughness grades. METHODS : A set road specimen was developed for various IRIs by generating road profiles with matching standard deviations. In addition, five distinct features from road images, including mean, peak-to-peak, standard variation, and mean absolute deviation, were extracted to develop a classifier-based model. From parametric studies, a support vector machine (SVM) was selected. To further demonstrate that the model is more applicable to real-world problems, with a non-integer road grade, a deep-learning model was developed. The algorithm was proposed by modifying the MNIST database, and the model input parameters were determined to achieve higher precision. RESULTS : The results of the proposed algorithms indicated the potential of using computer vision-based models for classifying road surface roughness. When SVM was adopted, near 100% precision was achieved for the training data, and 98% for the test data. Although the model indicated accurate results, the model was classified based on integer IRIs, which is less practical. Alternatively, a deep-learning model, which can be applied to a non-integer road grade, indicated an accuracy of over 85%. CONCLUSIONS : In this study, both the classifier-based, and deep-learning-based models indicated high precision for estimating road surface roughness grades. However, because the proposed algorithm has only been verified against the road model with fixed integers, optimization and verification of the proposed algorithm need to be performed for a real road condition.

PURPOSES : For large-scale construction, such as a concrete pavement, design and construction are not entirely consistent. If the inconsistency between design and construction is very large, construction quality is significantly degraded, affecting performance life span and driving comfort. The quality of pavement construction is managed according to standards. However, it is difficult to improve construction quality as the standard measures construction quality after construction is completed. Therefore, this study developed a system to measure the construction quality of concrete pavement in real-time and presented the corresponding standards. METHODS : A basic module for simultaneously measuring the width, thickness, and roughness of the concrete pavement was designed. Based on the measurement results of the distance measurement sensor, a calibration method is presented that can remove noise. The system process was developed to measure construction quality based on location and distance data, measured in real-time using GPSs and sensors. The field application experiment was conducted and the results were analyzed. RESULTS : The measurement module is properly designed to be used in concrete pavement construction sites. Noise was removed from the distance measurement sensor results according to the presented calibration method, leaving only the wave of pavement surface irregularities. As a result of applying the system process in the field application, a reasonable level of PRI was observed. CONCLUSIONS : In the past, the width, thickness, and roughness were measured after construction was completed and, if the standard was not met, construction quality control was performed via reconstruction or repair. Through this study, it is expected that the width, thickness, and roughness of the concrete pavement can be measured in real-time and, if the standard is not met, construction quality can be immediately controlled during construction to maintain high quality.

PURPOSES : The purpose of this study is to propose the certification process of International Roughness Index measuring device, i.e., a method for evaluating riding quality on road surfaces. METHODS : ROMDAS was selected as a reference device for verifying the accuracy of the IRI measuring device and the reliability of ROMDAS was checked through leveling in the laboratory and outdoors. To verify four different IRI measuring devices in Korea, the proper field test section was selected and IRI evaluation was conducted. A distance measuring instrument (DMI) - for verifying the accuracy of mileage - and IRI (as an index of roughness) were selected as the main evaluation parameters. For DMI verification, five repeated experiments were conducted for a 1 km section and, for IRI verification, speed variables of 40 km/h, 60 km/h, and 80 km/h were selected. Each device was tested at each speed 10 times. The accuracy of the measurement device was analyzed by comparing the measurement results with the verification criteria. RESULTS : As a result of the comparative experiment between the leveling and ROMDAS devices, the deviation of each measurement point value was within 1 mm and the R2 value was 0.8, demonstrating an excellent correlation. As a result of DMI verification, the tolerance of the three devices was found to be within 0.1 %; however, one device had a tolerance of 0.8 %, indicating that correction was necessary. For IRI evaluation, the average IRI value of the two reference devices was 2.02 m/km and the Minnesota standard was used as an analysis criterion. After the test, only one of the four devices was found to be effective across all speed ranges. Therefore, it was determined that additional sensor calibration is required to improve accuracy. CONCLUSIONS : In this study, the IRI device accuracy was evaluated through field tests. Hence, a new certification process for the IRI test device was proposed via four steps. To improve the accuracy of the IRI measurement, it is necessary to periodically verify the device. If this proposed certification process is applied, the accuracy of the IRI devices can be improved.

PURPOSES : In this study, the flatness of a sidewalk surface was evaluated by measuring the vibration acceleration experienced by wheelchair users passing the sidewalk using a walking measure. The objective of this study is to derive a linear equation for converting the vibration acceleration of a sidewalk surface measured using a walking measure into vibration acceleration of a wheelchair. METHODS : To this end, field measurements were obtained. Twenty sites with different sidewalk surface materials were selected to measure the vibration accelerations of the walking measure and wheelchair. A regression analysis was conducted with the measured root mean square value of the vibration acceleration, and a linear equation expressing the walking measure and wheelchair vibration acceleration was derived. RESULTS : The regression analysis was conducted by inputting the vibration acceleration of the wheelchair into the Y-axis and that of the walking measure into the X-axis. Thus, a linear equation between the walking measure and wheelchair acceleration could be derived. Further, linear equations could be derived and applied based on the situation using various standard walking measures and wheelchairs. These equations could be used to convert the vibration acceleration of the walking measure into that of the wheelchair. Substituting the converted vibration acceleration into the comfort level specified in ISO 2631-1 was expected to indicate the flatness of the sidewalk. CONCLUSIONS : This study confirmed that a linear equation for the two vibration accelerations could be derived by measuring the vibration accelerations of the walking measure and wheelchairs of 20 different sites. The vibration acceleration measured using the walking measure could be converted into that of the wheelchair using this linear equation. In addition, the flatness of the sidewalk could be evaluated by measuring the vibration acceleration of the walking measure using this linear equation.

Recently, the demand of wire quality improvement has been increasing due to the development of the textile market, and the demand for round type flat wire having superior performance compared to the existing reed wire is also increasing greatly. The round wire requires equal spacing and precise alignment of the wire at reed knitting. So, there is a need for a method for measuring the flatness of Reed in real time. In this paper, it is shown how the contact and non - contact methods for the flatness of Reed used in a power loom are easy to measure in real - time process. The contact-type method provides excellent measurement accuracy and precision because it directly touches the object. The non-contact type does not touch the object, so it does not scratch the surface, and the result can be obtained faster than the contact type. Contact type measuring device was used as contact type and laser displacement sensor was used as non - contact type. It was confirmed that the measurement method using the laser displacement sensor (non-contact type) is suitable for the real time process.

PURPOSES: The performance of both string line and multi-sonic sensor systems were investigated with respect to achieving smoothness in a 5 cm-thick Stone Mastic Asphalt (SMA) wearing layer. METHODS: String line and multi-sonic sensor systems were applied in the leading and trailing lanes, respectively, with two-lane simultaneous paving. RESULTS: Two systems did not show any significant statistical difference in initial International Roughness Index(IRI). The multi-sonic sensor system produced smoothness similar to that by the string line system. CONCLUSIONS : The string line system was found to be very effective in eliminating roughness below a wavelength of about 2 m, confirming that a string line reference is the best system to obtain a smoother surface. A multi-sonic sensor system evidently demonstrated the capability of replicating a reference level and, partly showed a roughness averaging effect within the system length. It can further be concluded that the effect of smoothness of the underlying layer on the upper layer smoothness cannot be ignored.

PURPOSES: The purpose of this research is to analyze the characteristics of panels that affect the evaluating results of riding quality and to evaluate the appropriateness of roughness management criteria based on ride comfort satisfaction. METHODS: In order to analyze the influence of panel characteristics of riding quality, 33 panels, consisting of civilians and experts, were selected. Also, considering the roughness distribution of the expressway, 35 sections with MRI ranging from 1.17 m/km to 4.65 m/km were selected. Each panel boarded a passenger car and evaluated the riding quality with grades from 0 to 10, and assessed whether it was satisfied or not. After removing outlier results using a box plot technique, 964 results were analyzed. An ANOVA was conducted to evaluate the effects of panel expertise, age, driving experience, vehicle ownership, and gender on the evaluation results. In addition, by using the receiver operating characteristics (ROC) curve, the MRI value, which can most accurately evaluate the satisfaction with riding quality, was derived. Then, the compatibility of MRI was evaluated using AUC as a criterion to assess whether the riding quality was satisfactory. RESULTS: Only the age of the panel participants were found to have an effect on the riding quality satisfaction. It was found that satisfaction with riding quality and MRI are strongly correlated. The satisfaction rate of roughness management criteria on new (MRI 1.6 m/km) and maintenance (MRI 3.0 m/km) expressways were 95% and 53%, respectively. As a result of evaluating the roughness management criteria by using the ROC curve, it was found that the accuracy of satisfaction was the highest at MRI 3.1-3.2 m/km. In addition, the AUC of the MRI was about 0.8, indicating that the MRI was an appropriate index for evaluating the riding quality satisfaction. CONCLUSIONS: Based on the results, the distribution of the panels’age should be considered when panel rating is conducted. From the results of the ROC curve, MRI of 3.0 m/km, which is a criterion of roughness management on maintenance expressways, is considered as appropriate.

구조물의 감쇠비는 내풍성능을 평가하는 가장 중요한 요소 중의 하나이다. 구조물의 실제 감쇠비는 대부분 계측된 응답을 기반으로 시스템 식별기술에 의하여 이루어진다. 그러나 예측된 감쇠비는 계측조건, 계측시간 및 시스템 식별기술에 따라 오차를 보이는 등 불확실성을 가지고 있다. 본 연구에서는 기 개발된 가상 동적진동기(Virtual Dynamic shaker)에 주요 개념으로 사용되었던 외부하중 스펙트럼의 전체 평탄성을 국부 평탄성으로 개념을 확대하여 감쇠비 추정을 보다 정교하게 하는 기법을 개발하였다. 국부 평탄성을 개념을 사용하여 감쇠비를 구하고자 하는 대상 모드의 고유진동수 부근에 적용함으로서 보다 정확하게 감쇠비 추정하는 기법을 다루었다. 본 개발된 기법을 검증하기 위하여 고층건물의 상시진동에 대하여 적용하였으며, 기존 시스템 식별법, 자유진동실험에 의한 결과와 비교 평가하였다. 그 결과 전체 평탄성을 가지는 개념에 비하여 국부평탄성을 가지는 VDS가 보다 정확하게 감쇠비를 추정하는 것을 보였다.

PURPOSES: This study aims to develop a rational procedure for estimating the pavement roughness index considering vehicle wandering. METHODS: The location analysis of the passing vehicle in the lane was performed by approximately 1.2 million vehicles for verification of the wandering distribution. According to verification result, the distribution follows the normal distribution pattern. The probability density function was estimated using each lane's wandering distribution model. Then the procedure for applying a weighted value into the lane profile was conducted using this function. RESULTS : The modified index, MRIw, with consideration towards applying the wandering weighted value application was computed then compared with MRI. It was found that the Coefficient of Variation for distribution of lateral roughness index in the lane was high in the case of a large difference between each index (i.e., MRIw and MRI) observed. CONCLUSIONS : This result confirms that the new procedure with consideration of the weight factor can successfully improve the lane representative characteristics of the roughness index.

도로의 평탄성을 정량화하여 지수로 나타내는 방법은 IRI(International Roughness Index)와 같이 프 로파일을 측정하여 시뮬레이션을 통해 차량거동을 계산하는 방법과 프로파일에 의해 변화하는 주행차량 거동을 센서를 통해 직접 측정하는 두 가지 방향의 접근이 있다. 전자의 경우, 노면형상이 크게 변하지 않 는 한 반복성있는 지수값을 얻을 수 있어 평탄성 유지관리 측면에서 이점이 있으나, 차량거동에 의한 인 체 반응 특성까지는 반영하지 못하기 때문에 정성적인 승차감과는 다소 차이가 있을 수 있다. 반면 센서 측정값을 지수화하는 경우, 승차감 반영 측면에서는 유리하나 타이어, 서스펜션, 중량, 차종 등 주행차량 의 다양한 특성들을 고려해야 하고 정속주행 시 측정해야 하는 등의 어려움이 있어 널리 활용되고 있지는 않다. 하지만 최근 들어 탑승자의 주행쾌적성을 제고하기 위한 포장분야의 관심과 더불어 평탄성 및 승차 감과 관련된 연구들이 수행되고 있다. 이에 본 연구에서는 평탄성지수에 주행쾌적성을 보다 반영하기 위 한 기초 연구자료로 활용하고자, IRI값이 다양하게 분포되어 있는 고속도로 35개 구간을 선정하여 총 31 명 패널의 승차감 평가를 실시하였다. 또한 패널 평가에 사용된 차량에 그림 1과 같이 3개의 3축 가속도 센서를 장착 위치를 달리하여 설치하였으며, 조수석에 사람이 탑승한 상태에서 가속도를 측정하여 승차감 평가 결과와 비교하였다. 진동가속도 기본 분석방법인 시간 도메인에서의 RMS(Root Mean Square)값 분석 결과 0.56~0.83의 상관계수(R2) 분포를 나타냈으며 시트에서 측정한 값이 패널 평가결과와의 상관성이 가장 높은 것으로 분 석되었다. 인체와 진원의 경계부인 시트에서의 가속도 값은 인체 전신진동 평가방법을 기술하고 있는 ISO-2631 기준을 적용할 수 있기 때문에 1/3 Octave 주파수 도메인에서 추가로 진동분석을 수행하였다. 그 결과 그림 2와 같이 가장 높은 상관계수(R2 = 0.85)를 보였으나, 인체에 민감한 영향을 주는 주파수 가중을 실시한 후 오히려 패널과의 상관성이 더 낮아지는 것으로 나타났다. 그 원인은 그림 3에서 보는 바와 같이, 4Hz 이상의 주파수 영역대에서 측정되는 x, y방향 가속도값이 주파수 가중에 의해 약 50~10% 수준으로 크게 감소하기 때문이며, x, y방향의 진동이 패널들의 승차감 평가에 일정부분 반영된 것으로 판단된다. 본 연구를 통해 차량의 회전 거동을 유발하는 x, y방향의 진동영향이 승차감에 미치는 영향을 간접적으로 파악하였고, z방향 거동만을 고려하는 IRI보다 회전 거동을 함께 고려할 수 있는 Full-car 모델을 활용하는 평탄성 지수가 승차감 반영에 더욱 유리하다는 점을 확인하였다.