A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST

Yuhang Cui; Yunwen Feng; Qian He; Xiaofeng Xue; Jun Lu

doi:10.1049/icp.2025.3749

A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST

Yuhang Cui
, Yunwen Feng
, Qian He
, Xiaofeng Xue
, Jun Lu

School of Aeronautics

Northwestern Polytechnical University Xian
Chinese Flight Test Establishment
Commercial Aircraft Corporation of China, Ltd.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In full-scale structural testing, applied loads are subject to the influence of multiple interacting factors, resulting in complex nonlinear relationships and inherent uncertainty. To evaluate the impact of such uncertainty on loading reliability, a reliability assessment framework based on Load Uncertainty Quantification (LUQ) is proposed. A piecewise machine learning modeling strategy is first utilized to construct a predictive model for load uncertainty parameters derived from historical load data. Quantification of load uncertainty is subsequently performed by integrating specific test input conditions. In order to account for both permissible load deviation thresholds and the statistical dependencies among uncertainties at various loading points, a Copula-based method is adopted for evaluating loading reliability. A case study focused on a Full-Scale Structural Test (FSST) is used to verify the proposed methodology, demonstrating its accuracy, effectiveness, and applicability. The findings offer meaningful insights for reliability assessment in other complex structural testing contexts.

Original language	English
Title of host publication	15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025
Publisher	Institution of Engineering and Technology
Pages	1627-1634
Number of pages	8
Volume	2025
Edition	35
ISBN (Electronic)	9781807050207, 9781807050344, 9781807050351, 9781807050375, 9781837242634, 9781837242900, 9781837242917, 9781837243143, 9781837243150, 9781837243167, 9781837243235, 9781837243341, 9781837243358, 9781837245277, 9781837246847, 9781837246854, 9781837247004, 9781837247011, 9781837247028, 9781837247035, 9781837247042, 9781837247059, 9781837247257, 9781837247264, 9781837247271, 9781837247295, 9781837247325, 9781837247332, 9781837249916
DOIs	https://doi.org/10.1049/icp.2025.3749
State	Published - 1 Dec 2025
Event	15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025 - Hohhot, China Duration: 23 Jul 2025 → 26 Jul 2025

Conference

Conference	15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025
Country/Territory	China
City	Hohhot
Period	23/07/25 → 26/07/25

Keywords

FULL-SCALE STRUCTURAL TEST
MACHINE LEARNING
PIECEWISE MODELING STRATEGY
RELIABILITY ASSESSMENT
UNCERTAINTY QUANTIFICATION

Access to Document

10.1049/icp.2025.3749

Cite this

Cui, Y., Feng, Y., He, Q., Xue, X., & Lu, J. (2025). A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST. In 15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025 (35 ed., Vol. 2025, pp. 1627-1634). Institution of Engineering and Technology. https://doi.org/10.1049/icp.2025.3749

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title = "A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST",

abstract = "In full-scale structural testing, applied loads are subject to the influence of multiple interacting factors, resulting in complex nonlinear relationships and inherent uncertainty. To evaluate the impact of such uncertainty on loading reliability, a reliability assessment framework based on Load Uncertainty Quantification (LUQ) is proposed. A piecewise machine learning modeling strategy is first utilized to construct a predictive model for load uncertainty parameters derived from historical load data. Quantification of load uncertainty is subsequently performed by integrating specific test input conditions. In order to account for both permissible load deviation thresholds and the statistical dependencies among uncertainties at various loading points, a Copula-based method is adopted for evaluating loading reliability. A case study focused on a Full-Scale Structural Test (FSST) is used to verify the proposed methodology, demonstrating its accuracy, effectiveness, and applicability. The findings offer meaningful insights for reliability assessment in other complex structural testing contexts.",

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author = "Yuhang Cui and Yunwen Feng and Qian He and Xiaofeng Xue and Jun Lu",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering \& Technology 2025.; 15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025 ; Conference date: 23-07-2025 Through 26-07-2025",

year = "2025",

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doi = "10.1049/icp.2025.3749",

language = "英语",

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Cui, Y, Feng, Y, He, Q, Xue, X & Lu, J 2025, A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST. in 15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025. 35 edn, vol. 2025, Institution of Engineering and Technology, pp. 1627-1634, 15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025, Hohhot, China, 23/07/25. https://doi.org/10.1049/icp.2025.3749

A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST. / Cui, Yuhang; Feng, Yunwen; He, Qian et al.
15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025. Vol. 2025 35. ed. Institution of Engineering and Technology, 2025. p. 1627-1634.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST

AU - Cui, Yuhang

AU - Feng, Yunwen

AU - He, Qian

AU - Xue, Xiaofeng

AU - Lu, Jun

N1 - Publisher Copyright: © The Institution of Engineering & Technology 2025.

PY - 2025/12/1

Y1 - 2025/12/1

N2 - In full-scale structural testing, applied loads are subject to the influence of multiple interacting factors, resulting in complex nonlinear relationships and inherent uncertainty. To evaluate the impact of such uncertainty on loading reliability, a reliability assessment framework based on Load Uncertainty Quantification (LUQ) is proposed. A piecewise machine learning modeling strategy is first utilized to construct a predictive model for load uncertainty parameters derived from historical load data. Quantification of load uncertainty is subsequently performed by integrating specific test input conditions. In order to account for both permissible load deviation thresholds and the statistical dependencies among uncertainties at various loading points, a Copula-based method is adopted for evaluating loading reliability. A case study focused on a Full-Scale Structural Test (FSST) is used to verify the proposed methodology, demonstrating its accuracy, effectiveness, and applicability. The findings offer meaningful insights for reliability assessment in other complex structural testing contexts.

AB - In full-scale structural testing, applied loads are subject to the influence of multiple interacting factors, resulting in complex nonlinear relationships and inherent uncertainty. To evaluate the impact of such uncertainty on loading reliability, a reliability assessment framework based on Load Uncertainty Quantification (LUQ) is proposed. A piecewise machine learning modeling strategy is first utilized to construct a predictive model for load uncertainty parameters derived from historical load data. Quantification of load uncertainty is subsequently performed by integrating specific test input conditions. In order to account for both permissible load deviation thresholds and the statistical dependencies among uncertainties at various loading points, a Copula-based method is adopted for evaluating loading reliability. A case study focused on a Full-Scale Structural Test (FSST) is used to verify the proposed methodology, demonstrating its accuracy, effectiveness, and applicability. The findings offer meaningful insights for reliability assessment in other complex structural testing contexts.

KW - FULL-SCALE STRUCTURAL TEST

KW - MACHINE LEARNING

KW - PIECEWISE MODELING STRATEGY

KW - RELIABILITY ASSESSMENT

KW - UNCERTAINTY QUANTIFICATION

UR - https://www.scopus.com/pages/publications/105038572849

U2 - 10.1049/icp.2025.3749

DO - 10.1049/icp.2025.3749

M3 - 会议稿件

AN - SCOPUS:105038572849

VL - 2025

SP - 1627

EP - 1634

BT - 15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025

PB - Institution of Engineering and Technology

T2 - 15th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2025

Y2 - 23 July 2025 through 26 July 2025

ER -

A LOAD UNCERTAINTY QUANTIFICATION-BASED METHOD FOR LOADING RELIABILITY ASSESSMENT OF FULL-SCALE STRUCTURAL TEST

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Keywords

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