CBR-Based Skeleton Optimization for the Volumetric Design of Porous Asphalt Mixtures.

Jixing Jie, Xiaoquan Xiao, Qing Wang, Jian Li, Yuling Zhang, Bo Chen

Abstract read

In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jixing JieSchool of Civil Engineering & Transportation, South China University of Technology, Guangzhou 510630, China.

Xiaoquan XiaoGuangzhou Xiaoning Road Engineering & Technology Research Office Co., Ltd., Guangzhou 510630, China.

Qing WangGuangdong Guanyue Road and Bridge Co., Ltd., Guangzhou 511400, China.

Jian LiGuangzhou Xiaoning Road Engineering & Technology Research Office Co., Ltd., Guangzhou 510630, China.

Yuling ZhangSchool of Civil Engineering & Transportation, South China University of Technology, Guangzhou 510630, China.

Bo ChenSchool of Civil and Transportation Engineering, Foshan University, Foshan 528225, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous asphalt concrete (PAC) relies on coarse- aggregate interlocking, but existing design methods lack quantitative skeleton evaluation and may introduce volumetric conversion errors. This study proposes a method combining California Bearing Ratio (CBR)-based mechanical skeleton optimization with coarse aggregate void-filling (CAVF) volumetric design, termed the CBR-CAVF method. An improved CBR test with continuous load displacement recording identified 40:60 and 55:45 blends of 10-15 mm and 5-10 mm aggregates as optimal, with

Indexed as

aggregate skeletonCalifornia Bearing Ratiocoarse aggregate void fillinggyratory compactionporous asphalt concretesound absorptionvolumetric design

Identifiers

PMID42795200

DOI10.3390/ma19183984

PMCPMC13608535

What OpenQuestion holds

Textmetadata

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.