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Refinado por: Nome da Publicação: International Journal Of Pavement Engineering remover
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International Journal of Pavement Engineering

ENGLAND Taylor & Francis

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2
Automatic pavement crack detection using multimodal features fusion deep neural network
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Artigo
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Automatic pavement crack detection using multimodal features fusion deep neural network

Zhai, Junzhi ; Sun, Zhaoyun ; Huyan, Ju ; Yang, Handuo ; Li, Wei

The international journal of pavement engineering, 2023-01, Vol.24 (2) [Periódico revisado por pares]

Abingdon: Taylor & Francis

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3
Application of nano-silica and styrene-butadiene-styrene to improve asphalt mixture self healing
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Artigo
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Application of nano-silica and styrene-butadiene-styrene to improve asphalt mixture self healing

Ganjei, Mohammad Amin ; Aflaki, Esmail

The international journal of pavement engineering, 2019-01, Vol.20 (1), p.89-99 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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4
Machine learning approach for pavement performance prediction
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Artigo
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Machine learning approach for pavement performance prediction

Marcelino, Pedro ; de Lurdes Antunes, Maria ; Fortunato, Eduardo ; Gomes, Marta Castilho

The international journal of pavement engineering, 2021-02, Vol.22 (3), p.341-354 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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5
Pavement roughness evaluation method based on the theoretical relationship between acceleration measured by smartphone and IRI
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Artigo
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Pavement roughness evaluation method based on the theoretical relationship between acceleration measured by smartphone and IRI

Zhang, Zhen ; Zhang, Hongliang ; Xu, Song ; Lv, Wenjiang

The international journal of pavement engineering, 2022-07, Vol.23 (9), p.3082-3098 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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6
Rapid estimation of resilient modulus of subgrade soils using performance-related soil properties
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Artigo
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Rapid estimation of resilient modulus of subgrade soils using performance-related soil properties

Zhang, Junhui ; Peng, Junhui ; Zeng, Ling ; Li, Jue ; Li, Feng

The international journal of pavement engineering, 2021-05, Vol.22 (6), p.732-739 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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7
Using the visual intervention influence of pavement marking for rutting mitigation - Part II: visual intervention timing based on the finite element simulation
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Artigo
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Using the visual intervention influence of pavement marking for rutting mitigation - Part II: visual intervention timing based on the finite element simulation

Zhu, Xingyi ; Dai, Ziwei ; Chen, Feng ; Pan, Xiaodong ; Xu, Ming

The international journal of pavement engineering, 2019-05, Vol.20 (5), p.573-584 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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8
Measurement of entrained air-void parameters in Portland cement concrete using micro X-ray computed tomography
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Artigo
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Measurement of entrained air-void parameters in Portland cement concrete using micro X-ray computed tomography

Lu, Haizhu ; Peterson, Karl ; Chernoloz, Oleksiy

The international journal of pavement engineering, 2018-02, Vol.19 (2), p.109-121 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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9
Using the visual intervention influence of pavement markings for rutting mitigation-part I: preliminary experiments and field tests
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Artigo
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Using the visual intervention influence of pavement markings for rutting mitigation-part I: preliminary experiments and field tests

Wu, Gang ; Chen, Feng ; Pan, Xiaodong ; Xu, Ming ; Zhu, Xingyi

The international journal of pavement engineering, 2019-06, Vol.20 (6), p.734-746 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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10
The use of deep neural networks for developing generic pavement rutting predictive models
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The use of deep neural networks for developing generic pavement rutting predictive models

Haddad, Angela J. ; Chehab, Ghassan R. ; Saad, George A.

The international journal of pavement engineering, 2022-10, Vol.23 (12), p.4260-4276 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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