The roughness and bumping model for cement pavement in seasonal frost regions
The Statistical Package for Social Sciences (SPSS) Statistics software suit was used to test the model's goodness of fit and its normal distribution. Combined with the actual pavement survey data these tools were used to verify the model. The research results show that: permafrost and water-ric...
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Peter the Great St. Petersburg Polytechnic University
2024
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ftdoajarticles:oai:doaj.org/article:75f765578aed464e94ca4852cf891b14 2024-09-30T14:41:15+00:00 The roughness and bumping model for cement pavement in seasonal frost regions Li Hanqing Sun Qiao Ideris Zakaria Zhao Qianqian Fediuk Roman Lei Yuchuan Yuze Yang 2024-05-01T00:00:00Z https://doi.org/10.34910/MCE.127.9 https://doaj.org/article/75f765578aed464e94ca4852cf891b14 EN eng Peter the Great St. Petersburg Polytechnic University http://engstroy.spbstu.ru/article/2024.127.09/ https://doaj.org/toc/2712-8172 2712-8172 doi:10.34910/MCE.127.9 https://doaj.org/article/75f765578aed464e94ca4852cf891b14 Magazine of Civil Engineering, Vol 17, Iss 3 (2024) concrete pavement management numerical model regression analysis Engineering (General). Civil engineering (General) TA1-2040 article 2024 ftdoajarticles https://doi.org/10.34910/MCE.127.9 2024-09-17T16:00:44Z The Statistical Package for Social Sciences (SPSS) Statistics software suit was used to test the model's goodness of fit and its normal distribution. Combined with the actual pavement survey data these tools were used to verify the model. The research results show that: permafrost and water-rich conditions have the same effect on pavement roughness and bumping; four key factors, including pavement riding quality index (RQI), pavement bumping index (PBI), frozen soil and water-rich environmental factors have significant impact on pavement roughness and bumping. The prediction model adjusted R2 is 0.970, which is close to 1. The proposed model provides a high degree of fit and satisfies the assumption of normal distribution. When the PBI is from 87.5 to 95, the permafrost environmental factor is from 0.0002 to 0.0014, and the water-rich environmental factor is from 10.73 to 14.87, the prediction level of the model is the best. The model's RQI prediction value and the measured value has a degree of fit 0.987, which shows a good prediction effect. The prediction model can reasonably predict the roughness and the bumping of cement concrete pavement, which is of great significance to improve road traffic safety and to prolong the service life of cement concrete pavement in seasonal frost regions and water-rich areas. Article in Journal/Newspaper permafrost Directory of Open Access Journals: DOAJ Articles |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
concrete pavement management numerical model regression analysis Engineering (General). Civil engineering (General) TA1-2040 |
spellingShingle |
concrete pavement management numerical model regression analysis Engineering (General). Civil engineering (General) TA1-2040 Li Hanqing Sun Qiao Ideris Zakaria Zhao Qianqian Fediuk Roman Lei Yuchuan Yuze Yang The roughness and bumping model for cement pavement in seasonal frost regions |
topic_facet |
concrete pavement management numerical model regression analysis Engineering (General). Civil engineering (General) TA1-2040 |
description |
The Statistical Package for Social Sciences (SPSS) Statistics software suit was used to test the model's goodness of fit and its normal distribution. Combined with the actual pavement survey data these tools were used to verify the model. The research results show that: permafrost and water-rich conditions have the same effect on pavement roughness and bumping; four key factors, including pavement riding quality index (RQI), pavement bumping index (PBI), frozen soil and water-rich environmental factors have significant impact on pavement roughness and bumping. The prediction model adjusted R2 is 0.970, which is close to 1. The proposed model provides a high degree of fit and satisfies the assumption of normal distribution. When the PBI is from 87.5 to 95, the permafrost environmental factor is from 0.0002 to 0.0014, and the water-rich environmental factor is from 10.73 to 14.87, the prediction level of the model is the best. The model's RQI prediction value and the measured value has a degree of fit 0.987, which shows a good prediction effect. The prediction model can reasonably predict the roughness and the bumping of cement concrete pavement, which is of great significance to improve road traffic safety and to prolong the service life of cement concrete pavement in seasonal frost regions and water-rich areas. |
format |
Article in Journal/Newspaper |
author |
Li Hanqing Sun Qiao Ideris Zakaria Zhao Qianqian Fediuk Roman Lei Yuchuan Yuze Yang |
author_facet |
Li Hanqing Sun Qiao Ideris Zakaria Zhao Qianqian Fediuk Roman Lei Yuchuan Yuze Yang |
author_sort |
Li Hanqing |
title |
The roughness and bumping model for cement pavement in seasonal frost regions |
title_short |
The roughness and bumping model for cement pavement in seasonal frost regions |
title_full |
The roughness and bumping model for cement pavement in seasonal frost regions |
title_fullStr |
The roughness and bumping model for cement pavement in seasonal frost regions |
title_full_unstemmed |
The roughness and bumping model for cement pavement in seasonal frost regions |
title_sort |
roughness and bumping model for cement pavement in seasonal frost regions |
publisher |
Peter the Great St. Petersburg Polytechnic University |
publishDate |
2024 |
url |
https://doi.org/10.34910/MCE.127.9 https://doaj.org/article/75f765578aed464e94ca4852cf891b14 |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Magazine of Civil Engineering, Vol 17, Iss 3 (2024) |
op_relation |
http://engstroy.spbstu.ru/article/2024.127.09/ https://doaj.org/toc/2712-8172 2712-8172 doi:10.34910/MCE.127.9 https://doaj.org/article/75f765578aed464e94ca4852cf891b14 |
op_doi |
https://doi.org/10.34910/MCE.127.9 |
_version_ |
1811643659142037504 |