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Pregled bibliografske jedinice broj: 953178

Pavement surface macrotexture analysis


Pranjić, Ivana; Deluka-Tibljaš, Aleksandra; Cuculić, Marijana; Skender, Robert
Pavement surface macrotexture analysis // 5th International Conference on Road and Rail Infrastructure (CETRA 2018)
Zadar, Hrvatska, 2018. str. 359-365 doi:10.5592/CO/CETRA.2018.706 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 953178 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Pavement surface macrotexture analysis

Autori
Pranjić, Ivana ; Deluka-Tibljaš, Aleksandra ; Cuculić, Marijana ; Skender, Robert

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Skup
5th International Conference on Road and Rail Infrastructure (CETRA 2018)

Mjesto i datum
Zadar, Hrvatska, 17.05.2018. - 19.05.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
pavement surface macrotexture, influencing factors, field investigation

Sažetak
Asphalt pavement surface macrotexture has an important role in traffic safety. It contributes to skid resistance especially on roads where higher speeds are developed and under wet surface conditions, due to its influence on water drainage and reduction of hydroplaning effect. Consequently, sufficient level of surface macrotexture reduces the traffic accidents risk. In order to determine macrotexture values, different measurement procedures are applied. Measurement results are mostly interpreted as mean texture depth (MTD) or mean profile depth (MPD) values and afterwards compared to limit values, describing the quality of macrotexture on examined road section. This paper gives a brief analysis of pavement surface macrotexture characteristics important for skid resistance realization. An overview of methods for macrotexture determination and the comparison of limit values used for characterization of macrotexture performance is shown. In addition part of the research of macrotexture properties of highway pavements done at the Faculty of Civil Engineering University of Rijeka are presented, where macrotexture was determined using vehicle – installed laser profilometer, producing mean profile depth (MPD) values.

Izvorni jezik
Engleski

Znanstvena područja
Građevinarstvo



POVEZANOST RADA


Ustanove:
Građevinski fakultet, Rijeka

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Pranjić, Ivana; Deluka-Tibljaš, Aleksandra; Cuculić, Marijana; Skender, Robert
Pavement surface macrotexture analysis // 5th International Conference on Road and Rail Infrastructure (CETRA 2018)
Zadar, Hrvatska, 2018. str. 359-365 doi:10.5592/CO/CETRA.2018.706 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pranjić, I., Deluka-Tibljaš, A., Cuculić, M. & Skender, R. (2018) Pavement surface macrotexture analysis. U: 5th International Conference on Road and Rail Infrastructure (CETRA 2018) doi:10.5592/CO/CETRA.2018.706.
@article{article, author = {Pranji\'{c}, Ivana and Deluka-Tiblja\v{s}, Aleksandra and Cuculi\'{c}, Marijana and Skender, Robert}, year = {2018}, pages = {359-365}, DOI = {10.5592/CO/CETRA.2018.706}, keywords = {pavement surface macrotexture, influencing factors, field investigation}, doi = {10.5592/CO/CETRA.2018.706}, title = {Pavement surface macrotexture analysis}, keyword = {pavement surface macrotexture, influencing factors, field investigation}, publisherplace = {Zadar, Hrvatska} }
@article{article, author = {Pranji\'{c}, Ivana and Deluka-Tiblja\v{s}, Aleksandra and Cuculi\'{c}, Marijana and Skender, Robert}, year = {2018}, pages = {359-365}, DOI = {10.5592/CO/CETRA.2018.706}, keywords = {pavement surface macrotexture, influencing factors, field investigation}, doi = {10.5592/CO/CETRA.2018.706}, title = {Pavement surface macrotexture analysis}, keyword = {pavement surface macrotexture, influencing factors, field investigation}, publisherplace = {Zadar, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)


Citati:





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