Comparison of type I error and statistical power between state trace analysis and analysis of variance

Liu, Wei; Jia, Yuxue

doi:10.1016/j.jmp.2023.102767

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…At the level of significance (α = 0.05) and confidence interval (95%), the probability value (P) was Frontiers in Energy Research frontiersin.org Frontiers in Energy Research frontiersin.org 08 obtained. If p > 0.05, H 0 was accepted, and If P < 0.05, H 1 was accepted (Liu et al, 2009; Research institute of highway ministry of transport, 2019; Ye et al, 2021;Liu and Jia, 2023;Rosopa and King, 2023).…”

Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

Analysis of the correlation between the pavement structure combinations and pavement performance using experimental sections

Xiaoyan,

Guihong,

Bori

et al. 2023

Front. Energy Res.

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The new generation of pavement technology with the goal of longevity is an important supporting technology that can promote the achievement of sustainable development of high-speed roadways. To further investigate the evolution trend of long-life pavement performance, this paper paved experimental sections to explore the correlations between pavement structure combinations and pavement performances. This paper presented four experimental sections with different pavement structures, asphalt concrete layer thicknesses, and pavement materials. Then, this paper analyzed the effects of the seasonal factors, pavement structure, and lanes on the deflection value and rut depth from three dimensions by the Pearson correlation coefficient (PCC). Finally, this paper used the analysis of variance (ANOVA) to analyze the relationships between the layer thickness of various materials in the pavement structure and the pavement performances, including the deflection value, international roughness index (IRI), texture depth (TD), British Pendulum Number (BPN), sideway force coefficient (SFC), rut depth, and disease area. The results showed that the seasonal factors significantly affected the deflection values of pavement structures with PCCs of 0.61, 0.72, 0.53, and 0.78. The high temperatures increased the average deflection values by 22.85%, 72.88%, 77.61%, and 88.13%, respectively. Under the influence of high temperature in summer and traffic loads, the increased ranges of average rut depth were −0.2%, 4.89%, 9.56%, and 7.31%, respectively. The results of ANOVA showed that the pavement structure type and thickness of each structural layer significantly affected the deflection value, and there also was a strong correlation between the pavement structure type, thickness, BPN, and SFC with p-values less than 0.05. Increasing the thickness of the asphalt surface was beneficial for reducing the area of defects, while laying the semi-rigid base layer was beneficial for maintaining the deflection value and rut depth at a lower level.

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Section: Analysis Of Variance (Anova)mentioning

confidence: 99%

Analysis of the correlation between the pavement structure combinations and pavement performance using experimental sections

Xiaoyan,

Guihong,

Bori

et al. 2023

Front. Energy Res.

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Recycled Aggregate Integration for Enhanced Performance of Polymer Concrete

Kępniak,

Chyliński,

Łukowski

et al. 2024

Materials

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The objective of the research outlined in this paper is to propose an eco-friendly solution that simultaneously contributes to improving the characteristics of polymer composites. The analyzed solution entails the use of recycled aggregate from crushed concrete rubble. The authors conducted experiments to test the consistency, density, flexural strength, compressive strength, and microstructure of polymer concrete (PC) with different proportions of recycled aggregate (RA). It was found that PC with RA had a higher compressive strength, 96 MPa, than PC with natural aggregate, 89.1 MPa, owing to the formation of a double-layer shell of resin and calcium filler on the surface of porous RA grains. Using a resin with a lower viscosity could improve the performance of PC with RA by filling the cracks and penetrating deeper into the pores. RA is a valuable material for PC production, especially when it contains porous grains with poor mechanical properties, which are otherwise unsuitable for other applications. This article also highlights the environmental and economic benefits of using RA in PC, as it can reduce waste generation and natural resource consumption.

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Comparison of type I error and statistical power between state trace analysis and analysis of variance

Cited by 2 publications

References 18 publications

Analysis of the correlation between the pavement structure combinations and pavement performance using experimental sections

Analysis of the correlation between the pavement structure combinations and pavement performance using experimental sections

Recycled Aggregate Integration for Enhanced Performance of Polymer Concrete

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