scholarly journals A Mechanical Vibration-induced Electric Energy Generation (MVEG) and Applications to Ride Quality of Vehicles and International Roughness Index (IRI)

2019 ◽  
Vol 6 (1) ◽  
pp. 59
Author(s):  
Schun T. Uechi ◽  
Hiroshi Uechi
Keyword(s):  
Energy Harvesting ◽  
Mechanical Vibration ◽  
Electric Energy ◽  
Road Surface ◽  
Ride Quality ◽  
International Roughness Index ◽  
Information Measurement ◽  
Roughness Index ◽  
Harvesting Method

A mechanical vibration-induced, electric energy harvesting method is discussed with applications to vibration analyses of systems of vehicles, motorboats, trains, machines and bridges, etc.. The research has evolved from the analysis of International Roughness Index (IRI), which studies roughness of road-surface as longitudinal vibrational motions in a vehicle measured with a quarter-car simulation (QCS) or Global Positioning System (GPS) with sensors such as gyro sensor and magnetometer sensor. The electric energy-convertible vibrations with information of roughness of road surface are extracted by way of an mechanoelectric energy conversion, and an energy harvesting technology suitable for the system of vehicles is discussed. The mechanical vibration-induced electric current is also suitable for IRI information measurement as well as a measure for ride quality of vehicles.

Investigation and Analysis of International Roughness Index at National Freeway in Taiwan

2015 ◽  
Vol 752-753 ◽  
pp. 1206-1209
Author(s):  
Jyh Dong Lin ◽  
Po Hsun Sung ◽  
Min Che Ho ◽  
Chien Jung Shen
Keyword(s):  
Road Networks ◽  
Relevant Information ◽  
Main Subject ◽  
International Roughness Index ◽  
Comfort Index ◽  
Roughness Index ◽  
Road Testing ◽  
East West

Taiwan's National Freeway plays an important role in Taiwan's transportation, it is convenient to go to anywhere through a series of north-south and east-west road networks, from this we can see, the freeway road quality is a project that always need to be concerned, and how to enhance the pavement quality of National Freeway will be the main subject of this study.In order to improve the comfort index of National Freeway in this study, we first understand the examination part of National Freeway, like road testing items and methods, and because the need of study, we need to organize the relevant information of National Freeway road comfort index and investigation processes, with the investigation and analysis processes, it is beneficial to maintain and enhance the comfort quality of National Freeway.

scholarly journals Ride Quality of Electric Four Wheeled Chair. Road Surface Conditions and Vibration Characteristics.

1999 ◽  
Vol 35 ◽  
pp. 298-299
Author(s):  
Motomu YOKOMORI ◽  
Shigeki YAMAGUTI ◽  
Kouhei HIGASHIYAMA ◽  
Masami TAKAHASI
Keyword(s):  
Vibration Characteristics ◽  
Road Surface ◽  
Ride Quality ◽  
Surface Conditions

scholarly journals TINJAUAN KONDISI PERKERASAN JALAN DENGAN KOMBINASI NILAI INTERNATIONAL ROUGHNESS INDEX (IRI) DAN SURFACE DISTRESS INDEX (SDI) PADA JALAN TAKENGON – BLANGKEJEREN

2018 ◽  
Vol 1 (3) ◽  
pp. 543-552
Author(s):  
Baihaqi Baihaqi ◽  
Sofyan M. Saleh ◽  
Renni Anggraini
Keyword(s):  
Road Surface ◽  
Road Segment ◽  
International Roughness Index ◽  
Damage Level ◽  
The Road ◽  
Road Pavement ◽  
Roughness Index ◽  
Surface Distress ◽  
Observation Method ◽  
Pavement Damage

Abstract: Takengon - Blangkejeren road is one of the cross national roads connecting Central Aceh Regency with Gayo Lues Regency. This road is in the mountainous terrain and often passed by heavy loaded vehicles so that often damaged. To overcome the frequent damage to this road segment, it is necessary to conduct a research on road pavement damage. The purpose of this research is to know the condition of road damage based on the combination of International Roughness Index (IRI) and Surface Distress Index (SDI). This study uses direct observation method in the field by conducting a visual survey of road pavement conditions. The result of the research shows that the total damage level of road surface is 30,54% while the road surface is not damaged by 69,46% from total of road that become research object, that is 12,63 Km divided into 6 road segment. For the overall condition of roads reviewed 45.02% good, 45.81% medium, 6.87% lightly damaged, 2.29% heavily damaged.Abstrak: Ruas jalan Takengon – Blangkejeren merupakan salah satu ruas jalan nasional lintas tengah yang menghubungkan Kabupaten Aceh Tengah dengan Kabupaten Gayo Lues. Jalan ini berada pada medan pegunungan dan sering dilalui kendaraan dengan beban yang berat sehingga sering mengalami kerusakan. Untuk mengatasi kerusakan yang sering terjadi pada ruas jalan ini perlu diadakan suatu penelitian mengenai jenis kerusakan perkerasan jalan. Tujuan dari penelitian ini adalah untuk mengetahui kondisi kerusakan jalan berdasarkan kombinasi nilai International Roughness Index (IRI) dan Surface Distress Index (SDI). Penelitian ini menggunakan metode pengamatan langsung dilapangan dengan melakukan survey secara visual terhadap kondisi perkerasan jalan. Dari hasil penelitian diperoleh tingkat kerusakan keseluruhan permukaan jalan adalah sebesar 30,54% sedangkan permukaan jalan yang tidak mengalami kerusakan sebesar 69,46 % dari total panjang jalan yang menjadi objek penelitian, yaitu 12,63 Km yang dibagi menjadi 6 buah segmen jalan. Untuk kondisi keseluruhan jalan yang ditinjau 45,02 % baik, 45,81 % sedang, 6,87 % rusak ringan, 2,29 % rusak berat.

Full-Car Roughness Index as Summary Roughness Statistic

2005 ◽  
Vol 1905 (1) ◽  
pp. 148-156 ◽  
Author(s):  
Renato A. C. Capuruço ◽  
Tarek Hegazy ◽  
Susan L. Tighe ◽  
Sameh Zaghloul
Keyword(s):  
Mechanical Response ◽  
Pavement Management ◽  
Ride Quality ◽  
Management Decision ◽  
International Roughness Index ◽  
Front Suspension ◽  
Car Model ◽  
Roughness Index ◽  
Wheel Model ◽  
Management Decision Making

The international roughness index (IRI) and the half-car roughness index (HRI) are the two commonly used roughness indices for pavement management, decision making, prioritization, budgeting, and planning. This work presents a new statistic, termed the full-car roughness index (FRI), for calculation of roughness from longitudinal pavement profiles. FRI is calculated from a single, equivalent profile that is a composite of four corner profiles based on both civil and mechanical engineering principles. More specifically, the full-car (four-wheel) model combines the rear and front suspension systems through an interdependent relation of motion with the longitudinal axle. To validate this model, the FRI values for different pavement sections are determined for sampling roughness measurements from several states and provinces. Then, the behavior of FRI is compared with that of IRI and HRI. The methodology of assessment uses a Monte Carlo simulation for calibration and validation of the index. Correlations derived from this sensitivity analysis on the basis of regression analysis arrive at a conversion chart to propose conversion values from these indices to FRIs. Overall, this paper suggests that the mechanical response of the proposed full-car model is more representative of the characteristics of a real vehicle than the response of a quarter- or half-car model. The results also indicate that FRI is less sensitive to the governing factors that account for the quarter-car simulation and thus provides an index that is unique, insightful, and more effective in the characterization of ride quality.

scholarly journals Piezoelectric Particulate Composite for Energy Harvesting from Mechanical Vibration

Materials ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 4925
Author(s):  
Dariusz Grzybek ◽  
Dariusz Kata ◽  
Wojciech Sikora ◽  
Bogdan Sapiński ◽  
Piotr Micek ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Rectangular Cross Section ◽  
Mechanical Vibration ◽  
Electric Energy ◽  
Particulate Composite ◽  
Piezoelectric Composite ◽  
Main Element ◽  
Beam Structure ◽  
Bending Mode ◽  
The Subject

Energy harvesting from mechanical vibration of buildings is usually realized by the use of devices, in which the main element is a prismatic beam with a rectangular cross-section. The beam has been the subject of scientific research; it is usually constructed with a carrying substrate that does not have piezoelectric characteristics and from piezoelectric material. In contrast, this investigation sought to create a beam structure with a piezoelectric composite only. The entire beam structure was made of a prototype piezoelectric particulate composite. Based on courses of voltage obtained in laboratory experiments and known geometry of the specimens, a series of finite element method (FEM) simulations was performed, aiming to estimate the piezoelectric coefficient d31 value at which the mentioned voltage could be achieved. In each specimen, sedimentation caused the formation of two distinct layers: top and bottom. The experiments revealed that the presented prototype piezoelectric particulate composite converts mechanical stress to electric energy in bending mode, which is used in energy harvesting from mechanical vibration. It is self-supporting and thus a carrying substrate is not required in the harvester structure.

Smartphone-Based Pavement Roughness Estimation Using Deep Learning with Entity Embedding

2020 ◽  
pp. 2050007
Author(s):  
Armstrong Aboah ◽  
Yaw Adu-Gyamfi
Keyword(s):  
Deep Learning ◽  
Traditional Method ◽  
Road Surface ◽  
Accelerometer Data ◽  
International Roughness Index ◽  
Surface Information ◽  
Pavement Roughness ◽  
Roughness Index ◽  
Accuracy Of Prediction ◽  
Deep Learning Model

The commonly used index for measuring pavement roughness is the International Roughness index (IRI). Traditional method for collecting road surface information is expensive and as such researchers over the years have resorted to other cheaper ways of collecting data. This study focuses on developing a deep learning model to quickly and accurately determine the IRI values of road sections at a cheaper cost. The study proposed a model that uses accelerometer data and previous year’s IRI values to predict current year IRI values. The study concludes that addition of accelerometer readings to previous year’s IRIs increased the accuracy of prediction.

Design and Analysis of Parallel Interconnection Hydraulic-Electric Energy-Harvesting Active Radial Steering Bogie System

2017 ◽  
Author(s):  
Lingshuai Meng ◽  
Lin Xu ◽  
Junyi Zou ◽  
Jia Mi ◽  
Sijing Guo
Keyword(s):  
Energy Harvesting ◽  
Energy Recovery ◽  
Shock Absorber ◽  
Waste Heat ◽  
Mechanical Vibration ◽  
Electric Energy ◽  
Average Energy ◽  
Vibration Energy ◽  
Vertical Acceleration ◽  
Power Module

With the increasing of the train load, the wheel-rail wear is worsening, the maintaining and replacing cycle is shortened enormously, the problem of replacing steel rail and wheel prematurely not only make the railway transportation cost increasing, but also affect the railway normal transportation. This paper proposes a novel type of active energy self-supply radial steering technology — the parallel interconnection hydraulic-electric energy-harvesting active radial steering bogie system. This system is a typical “machine – electric – hydraulic” coupling system, which includes parallel interconnection hydraulic-electric energy-harvesting suspension and active radial steering bogie, consisting of mechanical, electronic, hydraulic and control subsystems internally. In this system, the radial steering bogie is equipped with four HESA, and HESA can reuse the mechanical vibration energy which used to be transformed into waste heat by the shock absorber. In this system, the mechanical vibration energy is now used to drive power module of active radial steering bogie, so as to implement the train’s active radial steering without external power supply. This paper discusses the evolution of radial steering bogie in general, and introduces the structure and basic principle of the parallel interconnection electro-hydraulic energy-harvesting active radial steering bogie system. The system establishes a model of the parallel interconnection hydraulic-electric energy-harvesting shock absorber. The typical vertical irregularity of American track is established. In the paper, we research on the system’s damping performance and energy recovery performance through stimulation. Simulation results show that the maximum vertical acceleration of train body is reduced from 42.9% to 62.3%, and the average energy recovery power from the system increases from 217W to 1835W when the system works at the six levels of track irregularities.

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