• 제목/요약/키워드: Tire-road Friction

검색결과 63건 처리시간 0.025초

Study on Inhomogeneity in Compositions of Asphalt Pavement Wear Particles Using Thermogravimetric Analysis

  • Uiyeong Jung;Sung-Seen Choi
    • Elastomers and Composites
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    • 제58권2호
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    • pp.81-86
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    • 2023
  • Asphalt pavements are generally composed of fine and coarse aggregates, bitumen, and modifier. Asphalt pavement wear particles (APWPs) are produced by friction between the road surface and the tire tread, and they flow into the environment such as rivers and oceans. Model APWPs were prepared and a single APWP of 212-500 (S-APWP) and 500-1000 ㎛ (L-APWP) was analyzed using thermogravimetric analysis (TGA) to investigate inhomogeneity in the compositions of the APWPs. The reference TGA thermogram was built using thermograms of the raw materials and formulation of the model asphalt pavement. The compositions of the APWPs were different from each other. Ash contents of the APWPs were lower than expected. Inhomogeneity in the total contents of bitumen and modifier was more severe than that in the other components. The inhomogeneity of the S-APWPs was more severe than that of the L-APWPs.

콘크리트 포장 표면처리 방법에 따른 소음 감소 방안 연구 (Noise Reduction of Concrete Pavement by Texture Design)

  • 문준범;박진회;권순민;한승환;조윤호
    • 한국도로학회논문집
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    • 제6권4호
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    • pp.123-136
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    • 2004
  • 본 연구는 다양한 표면처리 공법에 따른 소음도를 비교 분석하여 소음 감소효과에 적합한 타이닝 방법을 제안하였다. 기존 문헌조사 결과 종방향 타이닝이 소음감소 효과에 우수한 결과를 보인다는 것을 바탕으로 국내 시험도로 일부구간에 표면처리 방법을 적용하였다. 승용차의 경우 일정간격 18mm 종방향 타이닝이 다른 비교구간보다 약 2$\sim$3dB(A) 소음 감소효과가 있다. 덤프트럭으로 외부소음을 측정하여 주파수 분석한 결과 200$\sim$600Hz 사이에서 peak frequency point가 발생하는 것을 알 수 있었다 또한, 승용차의 경우 1000Hz부근에서 소음 발생이 가장 큰 것으로 나타났다 차량 내부 소음 측정결과 표면처리 방법에 따라 소음 정도가 큰 폭으로 변화하지 않았으나, 차량 외부에서는 크게 변화하였다. 따라서 표면처리 방법은 소음도에 중요한 영향을 미치는 인자로 볼 수 있다. 표면처리에 따른 미끄럼 저항값 측정결과 종방향 타이닝이 횡방향 타이닝에 비해 낮게 나타났지만 전체적으로 양호한 결과를 보였다. 본 실험 결과는 시공 초기의 값이므로 공용 이후의 지속적인 조사가 필요하다.

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스키드마크 및 요마크를 이용한 차량사고재구성 (The Vehicle Accident Reconstruction using Skid and Yaw Marks)

  • 이승종;하정섭
    • 한국정밀공학회지
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    • 제20권12호
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    • pp.55-63
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    • 2003
  • The traffic accident is the prerequisite of the traffic accident reconstruction. In this study, the traffic accident (forward collision) and traffic accident reconstruction (inverse collision) simulations are conducted to improve the quality and accuracy of the traffic accident reconstruction. The vehicle and tire models are used to simulate the trajectories for the post-impact motion of the vehicles after collision. The impact dynamic model applicable to the forward and inverse collision simulations is also provided. The accuracy of impact analysis for the vehicular collision depends on the accuracy of the coefficients of restitution and friction. The neural network is used to estimate these coefficients. The forward and inverse collision simulations for the multi-collisions are conducted. The new method fur the accident reconstruction is proposed to calculate the pre-impact velocities of the vehicles without using the trial and error process which requires the repeated calculations of the initial velocities until the forward collision simulation satisfies with the accident evidences. This method estimates the pre-impact velocities of the vehicles by analyzing the trajectories of the vehicles. The vehicle slides on a road surface not only under the skidding during an emergency braking but also under the steering. A vehicle over steering or cornering with excessive speed loses the traction and leaves tile yaw marks on the road surface. The new critical speed formula based on the vehicle dynamics is proposed to analyze the yaw marks and shows smaller errors than ones of the existing critical speed formula.

RFL 프라이머 처리에 따른 폴리케톤 코드사와 고무 간의 계면접착성 변화에 열노화가 미치는 영향 (Effect of Thermal Aging on the Change of Interfacial Adhesion between Polyketone Cord and Rubber by RFL Primer Treatment)

  • 조하니;오우진;강송희;이승구
    • 한국염색가공학회지
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    • 제30권2호
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    • pp.77-89
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    • 2018
  • In the case of fiber/rubber composites for tire applications, the interfacial adhesion between fiber and rubber significantly affects the physical properties of the finished products. Generally, organic synthetic fibers used for tire cords are treated with resorcinol formaldehyde latex(RFL) primer on the surface of the fiber to improve the adhesion to rubber. Changes of adhesion between rubber and tire cords might weaken as temperature rises due to overheating of car engine and friction with road. In this study, the effects of temperature on the primer treated polyketone cord/rubber composites and the changes in interfacial adhesion were investigated. Polyketone cord/rubber composites were prepared after RFL solution treatment on the surface of polyketone fibers. After that, composites was thermally aged at different temperature conditions(60, 80, 100, $120^{\circ}C$) and times(1, 5, 10, 15days). The adhesion strength of polyketone cord/rubber composite treated with RFL primer was higher than untreated composite by more than 3 times. After heat aging, the adhesion strength of untreated polyketone cord/rubber composites increased while the RFL treated polyketone cord/rubber composites decreased somewhat.

적외선 카메라와 YOLO를 사용한 블랙아이스 탐지 방법 (A Black Ice Detection Method Using Infrared Camera and YOLO)

  • 김형균;장민석;이연식
    • 한국정보통신학회논문지
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    • 제25권12호
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    • pp.1874-1881
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    • 2021
  • 폭설로 인한 도로 미끄러짐과 함께 영하의 기온으로 도로와 차량 통행용 다리, 터널 출입구 쪽에서 주로 발생하는 블랙아이스는 운전자의 시야에서는 아스팔트의 이미지가 투과되어 보이기에 잘 인식되지 않아서 자동차들이 미끄러지는 (슬립 현상) 상황을 발생시키기에 차량이 제동력을 잃어서, 대형 교통사고로 이어져 심각한 인명과 재산상 손실을 초래하고 있다. 본 논문에서는 기존에 연구되었던 블랙아이스 감지 방법들(인공위성 촬영, 초음파 수신으로 미끄러짐의 패턴을 확인, 도로 표면의 온도측정, 차량 주행 중 타이어의 마찰력 차이를 확인하기)의 단점들을 보완하고, 블랙아이스를 감지하는 센서의 크기를 줄여서 많은 이동체에 적용할 수 있도록 하고자 적외선 카메라를 이용하여 도로 상태를 확인하고, 이 정보를 딥러닝 학습을 통하여 블랙아이스를 판별하는 방법을 제안하고자 한다.

휠 슬립 제어기 및 최적 슬립 결정 알고리즘을 이용한 차량의 최대 제동력 제어 (Maximum Braking Force Control Using Wheel Slip Controller and Optimal Target Slip Assignment Algorithm in Vehicles)

  • 홍대건;황인용;선우명호;허건수
    • 대한기계학회논문집A
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    • 제30권3호
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    • pp.295-301
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    • 2006
  • The wheel slip control systems are able to control the braking force more accurately and can be adapted to different vehicles more easily than conventional ABS systems. In order to achieve the superior braking performance through the wheel-slip control, real-time information such as the tire braking force at each wheel is required. In addition, the optimal target slip values need to be determined depending on the braking objectives such as minimum braking distance, stability enhancement, etc. In this paper, a robust wheel slip controller is developed based on the adaptive sliding mode control method and an optimal target slip assignment algorithm. An adaptive law is formulated to estimate the longitudinal braking force in real-time. The wheel slip controller is designed using the Lyapunov stability theory and considering the error bounds in estimating the braking force and the brake disk-pad friction coefficient. The target slip assignment algorithm is developed for the maximum braking force and searches the optimal target slip value based on the estimated braking force. The performance of the proposed wheel-slip control system is verified In simulations and demonstrates the effectiveness of the wheel slip control in various road conditions.

MAXIMUM BRAKING FORCE CONTROL UTILIZING THE ESTIMATED BRAKING FORCE

  • Hong, D.;Hwang, I.;SunWoo, M.;Huh, K.
    • International Journal of Automotive Technology
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    • 제8권2호
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    • pp.211-217
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    • 2007
  • The wheel slip control systems are able to control the braking force more accurately and can be adapted to different vehicles more easily than conventional ABS (Anti-lock Brake System) systems. In realizing the wheel slip control systems, real-time information such as the tire braking force at each wheel is required. In addition, the optimal target slip values need to be determined depending on the braking objectives such as minimum braking distance and stability enhancement. In this paper, a robust wheel slip controller is developed based on the adaptive sliding mode control method and an optimal target slip assignment algorithm is proposed for maximizing the braking force. An adaptive law is formulated to estimate the braking force in real-time. The wheel slip controller is designed based on the Lyapunov stability theory considering the error bounds in estimating the braking force and the brake disk-pad friction coefficient. The target slip assignment algorithm searches for the optimal target slip value based on the estimated braking force. The performance of the proposed wheel slip control system is verified in HILS (Hardware-In-the-Loop Simulator) experiments and demonstrates the effectiveness of the wheel slip control in various road conditions.

확장형 칼만필터 알고리즘을 활용한 차량 주행에 따른 마찰소음의 총 음압레벨 예측 (Estimation of Total Sound Pressure Level for Friction Noise Regarding a Driving Vehicle using the Extended Kalman Filter Algorithm)

  • 김도완;한범수;문성호;안덕순
    • 한국도로학회논문집
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    • 제16권5호
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    • pp.59-66
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    • 2014
  • PURPOSES : This study is to predict the Sound Pressure Level(SPL) obtained from the Noble Close ProXimity(NCPX) method by using the Extended Kalman Filter Algorithm employing the taylor series and Linear Regression Analysis based on the least square method. The objective of utilizing EKF Algorithm is to consider stochastically the effect of error because the Regression analysis is not the method for the statical approach. METHODS : For measuring the friction noise between the surface and vehicle's tire, NCPX method was used. With NCPX method, SPL can be obtained using the frequency analysis such as Discrete Fourier Transform(DFT), Fast Fourier Transform(FFT) and Constant Percentage Bandwidth(CPB) Analysis. In this research, CPB analysis was only conducted for deriving A-weighted SPL from the sound power level in terms of frequencies. EKF Algorithm and Regression analysis were performed for estimating the SPL regarding the vehicle velocities. RESULTS : The study has shown that the results related to the coefficient of determination and RMSE from EKF Algorithm have been improved by comparing to Regression analysis. CONCLUSIONS : The more the vehicle is fast, the more the SPL must be high. But in the results of EKF Algorithm, SPLs are irregular. The reason of that is the EKF algorithm can be reflected by the error covariance from the measurements.

동절기 차량의 등판가능성 지표 구축 방안 (A Preliminary Study on Developing a Trafficability Index of Vehicles in Wintertime)

  • 정연식;신강원
    • 대한토목학회논문집
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    • 제33권4호
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    • pp.1611-1617
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    • 2013
  • 동절기 도로구간에서 차량의 운행가능성 혹은 등판 가능성 정보는 교통 운영에 매우 중요한 요소이다. 특히, 빙설 구간을 운행할 경우 차량과 노면의 마찰력은 차량의 유형, 도로 기하구조의 특성 및 노면의 특성에 따라 다양하게 나타난다. 일반적으로 노면 결빙(적설)구간에서 트럭과 같은 후륜구동 차량은 전륜구동이나 4륜 구동 차량보다 마찰력이 낮으며, 갑작스런 강설시 이러한 차량의 무리한 도로 운행은 도로의 대규모 혼잡을 발생시키는 주요 원인으로 알려져 왔다. 따라서 도로의 기하구조 및 노면 특성과 차량의 유형에 기반한 실시간 도로 등판가능성 지표의 구축은 동절기 차량 및 도로의 운영 가능성 판단에 기반이 될 것으로 판단되다. 이러한 배경 하에 본 연구는 동절기 도로의 기하구조 및 노면 특성과 차량의 유형에 따른 도로의 운행가능성 지표를 구축방향을 제시하고자 하였다. 비록 제시된 지표는 국내 도로와 차량을 통해 구축된 결과는 아니지만, 향후 동절기 도로 및 차량 운영을 위한 지표 수립의 연구에 유용하게 활용될 것으로 기대된다.

능동형 소음저감 기법을 위한 도로교통소음 예측 모형 평가 연구 (Evaluation of a Traffic Noise Predictive Model for an Active Noise Cancellation (ANC) System)

  • 안덕순;문성호;안오성;김도완
    • 한국도로학회논문집
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    • 제17권6호
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    • pp.11-18
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    • 2015
  • PURPOSES : The purpose of this thesis is to evaluate the effectiveness of an active noise cancellation (ANC) system in reducing the traffic noise level against frequencies from the predictive model developed by previous research. The predictive model is based on ISO 9613-2 standards using the Noble close proximity (NCPX) method and the pass-by method. This means that the use of these standards is a powerful tool for analyzing the traffic noise level because of the strengths of these methods. Traffic noise analysis was performed based on digital signal processing (DSP) for detecting traffic noise with the pass-by method at the test site. METHODS : There are several analysis methods, which are generally divided into three different types, available to evaluate traffic noise predictive models. The first method uses the classification standard of 12 vehicle types. The second method is based on a standard of four vehicle types. The third method is founded on 5 types of vehicles, which are different from the types used by the second method. This means that the second method not only consolidates 12 vehicle types into only four types, but also that the results of the noise analysis of the total traffic volume are reflected in a comparison analysis of the three types of methods. The constant percent bandwidth (CPB) analysis was used to identify the properties of different frequencies in the frequency analysis. A-weighting was applied to the DSP and to the transformation process from analog to digital signal. The root mean squared error (RMSE) was applied to compare and evaluate the predictive model results of the three analysis methods. RESULTS : The result derived from the third method, based on the classification standard of 5 vehicle types, shows the smallest values of RMSE and max and min error. However, it does not have the reduction properties of a predictive model. To evaluate the predictive model of an ANC system, a reduction analysis of the total sound pressure level (TSPL), dB(A), was conducted. As a result, the analysis based on the third method has the smallest value of RMSE and max error. The effect of traffic noise reduction was the greatest value of the types of analysis in this research. CONCLUSIONS : From the results of the error analysis, the application method for categorizing vehicle types related to the 12-vehicle classification based on previous research is appropriate to the ANC system. However, the performance of a predictive model on an ANC system is up to a value of traffic noise reduction. By the same token, the most appropriate method that influences the maximum reduction effect is found in the third method of traffic analysis. This method has a value of traffic noise reduction of 31.28 dB(A). In conclusion, research for detecting the friction noise between a tire and the road surface for the 12 vehicle types needs to be conducted to authentically demonstrate an ANC system in the Republic of Korea.