An interpretable surrogate modeling framework for rice husk ash concrete using copula-based virtual sampling.

Van Hiep Huynh, Hung La, Thi My Dung Huynh, Tan Nguyen

Abstract read

In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Van Hiep HuynhSchool of Civil Engineering, College of Engineering and Technology, Tra Vinh University, Hoa Thuan Ward, Vinh Long Province, Vietnam.

Hung LaSmart Computing in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

Thi My Dung HuynhSchool of Civil Engineering, College of Engineering and Technology, Tra Vinh University, Hoa Thuan Ward, Vinh Long Province, Vietnam.

Tan NguyenSmart Computing in Civil Engineering Research Group, Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam. nguyentan@tdtu.edu.vn.

Funding

Trường Đại học Trà Vinh 39/2025/HĐ.HĐKH&ĐT-ĐHTV

6 · The paper itself

Abstract

This study proposes an interpretable and variance-aware sensitivity analysis framework for analyzing the compressive strength of rice husk ash concrete under correlated input conditions, using statistically consistent virtual sampling and surrogate-based sensitivity analysis. A Gaussian copula is used to construct a virtual design space that preserves empirical marginal distributions and inter-variable dependencies. An Extreme Gradient Boosting surrogate optimized using the Covariance Matrix Adaptation Evolution Strategy achieves high predictive accuracy on unseen data (mean R

Indexed as

Copula-based samplingExtreme Gradient Boosting surrogate modelingGlobal sensitivity analysisPermutation-based sensitivity analysis

Identifiers

PMID42248996

DOI10.1038/s41598-026-55368-1

PMCPMC13458770

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

Read underepoch 390

Registered trials

None linked

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.