Multi-parameter inversion of concrete face rockfill dam using wild horse optimizer and optimal polynomial chaos kriging

Structural parameter inversion is essential for monitoring and assessing the risks of concrete face rockfill dams. Current parameter inversion techniques are, however, often overly complex, computationally demanding, and inefficient, especially when the dam is simulated with a 3D nonlinear finite element method. This study proposes a novel approach combining the Wild Horse Optimizer with Optimal Polynomial Chaos Kriging (WHO_OPCK) to tackle these issues. The method benefits from the low computational cost of optimal polynomial chaos kriging and the fast convergence of the wild horse optimizer. By incorporating statistical uncertainty in input parameters, the method successfully inverts four key constitutive parameters <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>φ</mml:mi> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>b</mml:mi> </mml:mrow> </mml:msub> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>K</mml:mi> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>f</mml:mi> </mml:mrow> </mml:msub> </mml:math> based on displacement data from a complex dam. The approach proves practical and cost-effective in real engineering applications and has culminated in the development of specialized software that streamlines this structural parameter inversion process. Sensitivity analysis using Sobol’ indices further highlights the importance of each parameter at a low computational cost. The study highlights two key advantages of WHO_OPCK: (i) Unlike traditional methods that struggle with complex dams, WHO_OPCK significantly reduces computational costs and handles parameter determination efficiently. (ii) Compared to other surrogate model combinations with WHO, the proposed WHO_OPCK method offers superior accuracy and efficiency. This method establishes a solid foundation for multi-parameter inversion in concrete face rockfill dams.

Authors

Publication Details

Journal
Journal of Measurements in Engineering
Published
2025-08-09
DOI
https://doi.org/10.21595/jme.2025.24915
Primary Topic
Dam Engineering and Safety
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-parameter inversion of concrete face rockfill dam using wild horse optimizer and optimal polynomial chaos kriging

Linna Li, Shuping Liu, Maosen Cao, Yifei Li et al.
Journal of Measurements in Engineering
Dam Engineering and Safety
article

Multi-parameter inversion of concrete face rockfill dam using wild horse optimizer and optimal polynomial chaos kriging

Linna Li, Shuping Liu, Maosen Cao, Yifei Li, Xin Zhang, Fan Liu, Liurui Li
article en

Abstract

Structural parameter inversion is essential for monitoring and assessing the risks of concrete face rockfill dams. Current parameter inversion techniques are, however, often overly complex, computationally demanding, and inefficient, especially when the dam is simulated with a 3D nonlinear finite element method. This study proposes a novel approach combining the Wild Horse Optimizer with Optimal Polynomial Chaos Kriging (WHO_OPCK) to tackle these issues. The method benefits from the low computational cost of optimal polynomial chaos kriging and the fast convergence of the wild horse optimizer. By incorporating statistical uncertainty in input parameters, the method successfully inverts four key constitutive parameters <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>φ</mml:mi> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>b</mml:mi> </mml:mrow> </mml:msub> </mml:math> , <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>K</mml:mi> </mml:math> , and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>f</mml:mi> </mml:mrow> </mml:msub> </mml:math> based on displacement data from a complex dam. The approach proves practical and cost-effective in real engineering applications and has culminated in the development of specialized software that streamlines this structural parameter inversion process. Sensitivity analysis using Sobol’ indices further highlights the importance of each parameter at a low computational cost. The study highlights two key advantages of WHO_OPCK: (i) Unlike traditional methods that struggle with complex dams, WHO_OPCK significantly reduces computational costs and handles parameter determination efficiently. (ii) Compared to other surrogate model combinations with WHO, the proposed WHO_OPCK method offers superior accuracy and efficiency. This method establishes a solid foundation for multi-parameter inversion in concrete face rockfill dams.

Journal of Measurements in EngineeringVol. 13(4)
Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 78%
Dam Engineering and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.