Developing an improved extreme gradient boosting model for predicting the international roughness index of rigid pavement

Wang, Changbai; Xiao, Wei; Liu, Jimin

doi:10.1016/j.conbuildmat.2023.133523

Construction and Building Materials

2023

DOI: 10.1016/j.conbuildmat.2023.133523

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Developing an improved extreme gradient boosting model for predicting the international roughness index of rigid pavement

Changbai Wang,

Wei Xiao,

Jimin Liu

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Cited by 5 publications

References 41 publications

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Influence of concrete type on rigid pavement behavior under static loads

Salama,

Elayat,

Reda

et al. 2023

Innov. Infrastruct. Solut.

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It is thought that rigid pavements are more expensive than flexible pavements. However, when taking into account the element of durability, it was found that rigid pavements are less expensive than flexible pavements and have a service life up to 20 years. The flexible pavements are more suitable for the areas with weak subsoil and poor drainage, but it has a negative impact on the environment. This research presents an experimental and numerical study to explore the behavior of rigid pavement made of different types of concrete under the influence of static loads. The recent experimental study consists of six slabs with dimensions of 600 × 600 × 60 mm made of different types of concrete. Such types are normal-strength concrete (NSC), high-strength concrete (HSC) and strain hardening cementitious composites (SHCC). Based on the findings of this study, it is evident that the slab constructed with SHCC exhibits a 76.6% greater bearing capacity compared to the NSC slab. Regarding cost-effectiveness, the HSC slab was identified as the most economically advantageous option. A point to be noted is that the numerical model using the Abaqus program succeeded in modeling the experimental tested slabs.

show abstract

Influence of concrete type on rigid pavement behavior under static loads

Salama,

Elayat,

Reda

et al. 2023

Innov. Infrastruct. Solut.

View full text Add to dashboard Cite

show abstract

Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables

Jimenez Rios,

Ben Seghier,

Plevris

et al. 2024

Results in Engineering

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Air temperature prediction models for pavement design: a gradient boosting-based approach

Padala,

Kumar,

Swamy

et al. 2024

International Journal of Pavement Engineering

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Developing an improved extreme gradient boosting model for predicting the international roughness index of rigid pavement

Cited by 5 publications

References 41 publications

Influence of concrete type on rigid pavement behavior under static loads

Influence of concrete type on rigid pavement behavior under static loads

Explainable ensemble learning framework for estimating corrosion rate in suspension bridge main cables

Air temperature prediction models for pavement design: a gradient boosting-based approach

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