Flexural Response and Parametric Analysis of Precast Concrete Composite Beams Considering New-to-Old Concrete Interface Properties.

Xi Wu, Xiao-Ming Hu, Zhi-Yu Xie, Wei Dong, Miao-Miao Sun, Yu-Long Fu

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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0cells of the map it votes in

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.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Xi WuDepartment of Civil Engineering, Hangzhou City University, Hangzhou 310015, China.

Xiao-Ming HuZhejiang Guangchuan Engineering Consulting Co., Ltd., Hangzhou 310020, China.

Zhi-Yu XieSchool of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China.ORCID 0009-0002-3566-7123

Wei DongState Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China.

Miao-Miao SunDepartment of Civil Engineering, Hangzhou City University, Hangzhou 310015, China.

Yu-Long FuDepartment of Civil Engineering, Hangzhou City University, Hangzhou 310015, China.

Funding

National Natural Science Foundation of China 52508360Zhejiang Provincial Natural Science Foundation LGEY25E090010Zhejiang Provincial Natural Science Foundation LMS25E080012

6 · The paper itself

Abstract

The structural integrity of precast concrete composite beams heavily relies on the new-to-old concrete interface. Existing numerical models and traditional analytical methods struggle to capture the complex, multi-variable interfacial degradation mechanisms. This study proposes an integrated framework combining high-fidelity 3D nonlinear finite element (FE) simulations with explainable machine learning (XML). A mixed interface constitutive model, seamlessly coupling surface-based cohesive behavior with residual Coulomb friction, was established and validated to accurately replicate the full-range progressive damage and frictional slip. Using an orthogonal experimental design, a 53-sample database was generated to evaluate key design variables, including material strengths and interfacial roughness. An eXtreme Gradient Boosting (XGBoost)-based surrogate model successfully mapped the nonlinear relationships between these features and core flexural indicators, achieving an

Indexed as

explainable machine learningmixed interface constitutive modelnew-to-old concrete interfaceprecast composite beamsSHAP method

Identifiers

PMID42795144

DOI10.3390/ma19183923

PMCPMC13608620

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.