Roughness prediction models using pavement surface distresses in different Canadian climatic regions

The correlation between the international roughness index (IRI) and distress is inherent, as roughness is a function of both the changes in elevation of the distress-free pavement surface and the changes in elevation due to existing surface distress. In this way, a relationship between existing surface distress and IRI may be developed. However, the susceptibility of pavement to various types of surface distress is affected by many factors, including climatic conditions. A model that relates pavement surface distress to IRI for Canada needs to account for climatic conditions in different locations. This paper investigates the relationship between pavement surface distresses and IRI for different climatic conditions in Canada using historical data collected at numerous pavement test section locations sourced from the Long-Term Pavement Performance program database. Developed models were calibrated then validated and found to be statistically significant.

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Predicting International Roughness Index Based on Surface Distresses in Various Climate and Traffic Conditions Using Laser Crack Measurement System

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/03611981211017906 ◽

2021 ◽

pp. 036119812110179

Author(s):

Mansour Fakhri ◽

Seyed Masoud Karimi ◽

Jalal Barzegaran

Keyword(s):

Measurement System ◽

Prediction Models ◽

Coefficient Of Determination ◽

Linear Regression Models ◽

International Roughness Index ◽

Pavement Maintenance ◽

Traffic Conditions ◽

Roughness Index ◽

Roughness Prediction ◽

Performance Surface

Roughness is one of the most significant parameters in the evaluation of pavement performance. Surface distresses are among the main factors leading to roughness. The collection and evaluation of roughness data require the application of modern equipment such as road surface profilers. In the absence of such equipment, roughness prediction models that are based on surface distresses might provide a desirable assessment of pavement conditions. This research employs the laser crack measurement system (LCMS) to detect and measure surface distresses and roughness along 268 km of primary roads in Iran. Compared with manual survey, LCMS provides maximum detection and measurement accuracy. Based on the LCMS output, distresses with a higher correlation with the International Roughness Index (IRI) were selected as predictors in linear regression models and artificial neural networks (ANN). The models were developed for 10 m and 100 m length sections of the roads under different climate and traffic conditions. The results indicate that the performance of ANN for the 100 m sections with coefficient of determination ( R2) of 0.82 is superior to other models. The best case was that of using ANN in 100 m sections for regions with moderate climate and medium traffic levels, with a 0.94 correlation. Satisfactory results in field validation of the models demonstrated that agencies can use other methods of data collection (e.g., manual, right of way [ROW]) to assess the surface distresses and roughness condition of their roads from the developed models with minimum spending and without expensive equipment. Such estimates can be employed to make informed decisions in pavement maintenance programs at the network level.

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Investigation of Relationship Between Roughness and Pavement Surface Distress Based on WesTrack Project

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1699-15 ◽

2000 ◽

Vol 1699 (1) ◽

pp. 107-113 ◽

Cited By ~ 11

Author(s):

Joseph A. Mactutis ◽

Sirous H. Alavi ◽

Weston C. Ott

Keyword(s):

Functional Capacity ◽

Fatigue Cracking ◽

Sample Population ◽

Current Standard ◽

International Roughness Index ◽

Pavement Rehabilitation ◽

Pavement Surface ◽

Pavement Roughness ◽

Surface Distress ◽

The Relationship

Modern pavement rehabilitation and design methodologies require an adequate evaluation of the functional capacity of pavements. A key component of this functional capacity is the roughness of the pavement. The current standard for characterization of a pavement’s roughness is the international roughness index (IRI). Pavement roughness measurements were conducted at regular intervals during the application of approximately 5 million equivalent single-axle loads at the WesTrack Project, a full-scale flexible pavement accelerated loading facility located near Reno, Nevada. The results are presented of an investigation into the relationship between pavement roughness and pavement surface distress using WesTrack data. With a sample population of 317 observations, a relationship was found among the roughness (IRI) and the initial IRI, percentage of fatigue cracking, and average rut depth. A test of the relationship with data collected as a part of the Long-Term Pavement Performance Program indicates favorable results.

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Prediction models for international roughness index and rut depth

Pavement and Asset Management ◽

10.1201/9780429264702-27 ◽

2019 ◽

pp. 225-230

Author(s):

O. Eriksson ◽

T. Lundberg

Keyword(s):

Prediction Models ◽

International Roughness Index ◽

Roughness Index

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Hydrochemical Characteristics of Surface Waters and Their Relationships to the Kashin–Beck Disease in Longzi County, Tibet

10.21203/rs.3.rs-1052153/v1 ◽

2021 ◽

Author(s):

Yuan Tian ◽

Jianyu Xiao ◽

Xinjie Zha ◽

Chengqun Yu

Keyword(s):

Surface Waters ◽

Climatic Conditions ◽

Hydrochemical Characteristics ◽

Potential Toxic Elements ◽

Essential Trace Elements ◽

Cobalt Iron ◽

Endemic Areas ◽

The Relationship ◽

Beck Disease

Abstract Although previous studies have been reported between the Kashin–Beck Disease (KBD) epidemic and the hydrochemical characteristics of surface waters, the etiology of the disease remains unclear. In the present study, we investigated the relationship between the KBD and the environment by comprehensively examining the hydrochemical characteristics of surface waters in Longzi County, Tibet, and the spatial incidence of the disease. Results show that, the pH (mean = 7.27±0.30), TH (mean = 57.08±45.74 mg L–1), and TDS (mean = 67.56±44.00 mg L–1) of surface waters in KBD endemic areas are lower than for those in the non-KBD endemic areas (means of pH = 7.49±0.30; TH = 262.06±123.29 mg L–1; TDS = 253.25±100.39 mg L–1). These results suggest that long-term consumption of low TDS, essential trace elements (e.g., nickel, cobalt, iron, selenium, zinc, molybdenum, and iodine) deficient, and potential toxic elements (such as arsenic) enriched waters by humans likely causes the KBD. Environmental factors such as the geology and geomorphology may produce biogeochemical imbalance, geomorphic, vegetation types and local climatic conditions may have significant impact on food fungi toxin poisoning and water organic compound poisoning, and these are also important in the KBD occurrence.

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PEMANFAATAN APLIKASI SMARTPHONE UNTUK MENGUKUR KEMANTAPAN PERMUKAAN JALAN BERDASARKAN INTERNATIONAL ROUGHNESS INDEX

Jurnal Transportasi ◽

10.26593/jt.v19i3.3673.205-214 ◽

2020 ◽

Vol 19 (3) ◽

pp. 205-214

Author(s):

Arief Setiawan ◽

Novita Pradani ◽

Ferra Claudia Masoso

Keyword(s):

Segment Length ◽

Android Application ◽

Smartphone Applications ◽

International Roughness Index ◽

Surface Conditions ◽

Software Applications ◽

Measurement Results ◽

Roughness Index ◽

Technological Developments ◽

The Relationship

Abstract An assessment of road surface conditions is needed to determine an appropriate road evaluation program. One of the parameters used is the International Roughness Index or IRI. Currently, technological developments encourage the use of smartphone applications as a tool to determine the value of IRI. Comparisons between IRIs obtained using tools, such as roughometers, and IRIs obtained from software applications have not been made. The purpose of this study was to analyze the relationship between the results of the measurement of the roughometer and the results of the Android application Roadbump Pro. This research was carried out on the Sam Ratulangi Road in Palu City, with a segment length of 600 meters and analyzed per 100 meters. The results of this study indicate that smartphone applications provide good IRI measurement results, so they can be used in road stability assessments. In addition, the type of survey vehicle did not have a significant effect on IRI measurements. Keywords: smartphone, International Roughness Index, roughometer, Roadbump, road stability Abstrak Penilaian kondisi permukaan jalan diperlukan untuk menentukan program evaluasi jalan yang tepat. Salah satu parameter yang digunakan adalah International Roughness Index atau IRI. Saat ini, perkembangan teknologi mendorong penggunaan aplikasi smartphone sebagai alat bantu untuk menentukan nilai IRI. Perbandingan antara IRI yang diperoleh dengan menggunakan alat bantu, seperti roughometer, dan IRI yang diperoleh dari aplikasi perangkat lunak belum dilakukan. Tujuan penelitian ini adalah menganalisis hubungan antara hasil pengukuran alat roughometer dan hasil aplikasi android Roadbump Pro. Penelitian ini dilakukan di ruas Jalan Sam Ratulangi di Kota Palu, dengan panjang segmen 600 meter dan dianalisis per 100 meter. Hasil penelitian ini menunjukkan bahwa aplikasi smartphone memberikan hasil pengukuran IRI yang baik, sehingga dapat digunakan dalam penilaian kemantapan jalan. Selain itu, jenis kendaraan survei tidak memberikan pengaruh yang signifikan terhadap pengukuran IRI. Kata-kata kunci: smartphone, International Roughness Index, roughometer, Roadbump, kemantapan jalan

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ESTIMATION OF EFFICIENCY OF CONSTRUCTION OF AGRO-PHYTOCENOSES AND FERTILIZER OF THE OIL RADISH ON THE BASIS OF THE MODULAR-VITALITY METHOD

Agriculture and Forestry ◽

10.37128/2707-5826-2019-3-5 ◽

2019 ◽

pp. 54-78

Author(s):

Yaroslav Tsytsiura

Keyword(s):

Plant Density ◽

Morphological Characters ◽

Climatic Conditions ◽

Morphological Integration ◽

Plant Oil ◽

Long Term Study ◽

Relationship Of ◽

The Relationship ◽

Fertilizer Rates

The article presents the results of a long-term study of the features of the phytocenology of agrophytocenoses of oil radish using different methods for assessing their condition and studying the tactics of the plant vitality strategy. A comprehensive assessment was made of the effect of changes in row spacing, seeding rates and fertilizer rates on the formation of various plant morphotypes, the variability of morphological characters and the general characteristics of plant viability. Three idiotypes of the plant oil radish were identified in a vertical study of agrophytocenosis, on the basis of which a detailed analysis of the variability of each group and a statistical assessment of the reliability of its existence were carried out. The features of the morphological integration of each tier are analyzed and its impact on the formation of the overall field productivity is evaluated. Based on the modular and vitality grouping, the effectiveness and feasibility of combining various options for plant density and fertilizer in the range of 30-90 kg of active substance per 1 ha were evaluated. Conclusions are drawn about the desired model of agrophytocenosis of oil radish based on the characteristics of its vital tactics and the goals of its growing. Grouping was carried out according to a variety of morphological traits of plants in the population and the possibilities of applying the basic patterns of phytocenology in their application to radish oilseed plants were evaluated. Through the use of regression analysis, the influence of climatic conditions on the formation of various morphological types of plants and the nature of the relationship of plants of oil radish in cenoses of various densities against the background of various fertilizer options has been evaluated. The main promising areas for further research on the peculiarities of creating highly productive and highly adaptable agrophytocenoses of oil radish have been outlined.

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Assessment of the relationship between the international roughness index and dynamic loading of heavy vehicles

International Journal of Pavement Engineering ◽

10.1080/10298436.2015.1121780 ◽

2015 ◽

Vol 18 (8) ◽

pp. 693-701 ◽

Cited By ~ 13

Author(s):

Jean-Pascal Bilodeau ◽

Louis Gagnon ◽

Guy Doré

Keyword(s):

Dynamic Loading ◽

Heavy Vehicles ◽

International Roughness Index ◽

Roughness Index ◽

The Relationship

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

Jurnal Teknik Sipil ◽

10.24815/jts.v1i3.9993 ◽

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.

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