Reliability Analysis of High-Pressure Tunnel System Under Multiple Failure Modes Based on Improved Sparrow Search Algorithm–Kriging–Monte Carlo Simulation Method DOI Creative Commons

Yingdong Wang,

Xing Chen,

Leihua Yao

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10527 - 10527

Published: Nov. 15, 2024

It is often difficult for a structural safety design method based on deterministic analysis to fully and reasonably reflect the randomness of mechanical parameters, while traditional reliability has large calculation cost low accuracy. In this paper, seepage–stress coupling numerical model, random variables affecting collaborative bearing surrounding rock lining structures are successfully identified. Then, improved sparrow search algorithm (ISSA) used optimize hyper-parameters Kriging surrogate in order improve computational efficiency accuracy model. Finally, ISSA-Kriging-MCS model quantitatively evaluate rock-reinforced concrete structure under multiple failure modes, sensitivity each variable discussed depth. The results show that high-pressure tunnel high reliability. indexes mode decrease with increase coefficient variation (COV) variables. addition, same also exhibits varying degrees influence different modes.

Language: Английский

Dynamic reliability assessment for motion stability of industrial robot based on high-order response moments DOI
Di Zhou, Jingdong Han, Zhen Chen

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116690 - 116690

Published: Jan. 1, 2025

Language: Английский

Citations

0
Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter DOI Creative Commons
Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra

et al.

Systems Science & Control Engineering, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 12, 2025

This research introduces a novel dual Fast Grey Wolf Optimizer (FGWO) combined with Radial Basis Function Neural Networks (RBFNN) for Fractional-Order PID (FOPID) controller applied to helicopter simulator. The proposed FGWO improves the standard (GWO) by enhancing hunting during exploitation phase and increases robustness in convergence minimum value. optimizes FOPID parameters using objective function. RBFNN is integrated address nonlinearities uncertainties, while block mitigates coupling effects. performance of characterized two simulation scenarios. first scenario involved nine benchmark functions across thirty trials. Results demonstrated that offered superior terms proximity global compared GWO. second applying controllers helicopter. evidenced dual-FOPID-FGWO (DRF-FG) achieved 4.3363% faster response 1.8199% higher precision than GWO-based (DRF-G). DRF-FG showed trajectory tracking based on Ant Lion (DRF-A) Whale Optimization Algorithm (DRF-W). improved average regulation 1.702% 0.152% DRF-G.

Language: Английский

Citations

0
Research on digital twin based sealing mechanism of liquid swivel spring energized seal ring DOI
Yu Yang,

Gao Ruilong,

Baolei Zhang

et al.

Geoenergy Science and Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 213696 - 213696

Published: Jan. 1, 2025

Language: Английский

Citations

0
An Optimized Deep-Forest Algorithm Using a Modified Differential Evolution Optimization Algorithm: A Case of Host-Pathogen Protein-Protein Interaction Prediction. DOI Creative Commons
Jerry Emmanuel, Itunuoluwa Isewon, Jelili Oyelade

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimization of sizing and operation of pumped hydro storage plants under current and future economic scenarios DOI

Giulia Anna Maria Castorino,

Erik Dahlquist, Konstantinos Kyprianidis

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 119, P. 116130 - 116130

Published: March 30, 2025

Language: Английский

Citations

0
Surrogate-Assisted Symbolic Time-Series Discretization Using Multi-Breakpoints and a Multi-Objective Evolutionary Algorithm DOI Creative Commons
Aldo Márquez-Grajales, Efrén Mezura‐Montes, Héctor‐Gabriel Acosta‐Mesa

et al.

Mathematical and Computational Applications, Journal Year: 2024, Volume and Issue: 29(5), P. 78 - 78

Published: Sept. 11, 2024

The enhanced multi-objective symbolic discretization for time series (eMODiTS) method employs a flexible scheme using different value cuts each non-equal interval, which incurs high computational cost evaluating objective function. It is essential to mention that solution found by eMODiTS different-sized vector. Previous work was performed where surrogate models were implemented reduce the solve this problem. However, low-fidelity approximations obtained concerning original model. Consequently, our main propose an improvement work, modifying updating process of minimize their disadvantages. This evaluated based on classification, predictive power, and cost, comparing it against model ten methods reported in literature. results suggest proposal achieves higher fidelity than previous work. also achieved reduction rate between 15% 80% Finally, classification error similar maintains its behavior compared other methods.

Language: Английский

Citations

0
Research on Digital Twin Based Sealing Mechanism of Liquid Swivel Spring Energized Seal Ring DOI
Yu Yang,

Ruilong Gao,

Baolei Zhang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Reliability Analysis of High-Pressure Tunnel System Under Multiple Failure Modes Based on Improved Sparrow Search Algorithm–Kriging–Monte Carlo Simulation Method DOI Creative Commons

Yingdong Wang,

Xing Chen,

Leihua Yao

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(22), P. 10527 - 10527

Published: Nov. 15, 2024

It is often difficult for a structural safety design method based on deterministic analysis to fully and reasonably reflect the randomness of mechanical parameters, while traditional reliability has large calculation cost low accuracy. In this paper, seepage–stress coupling numerical model, random variables affecting collaborative bearing surrounding rock lining structures are successfully identified. Then, improved sparrow search algorithm (ISSA) used optimize hyper-parameters Kriging surrogate in order improve computational efficiency accuracy model. Finally, ISSA-Kriging-MCS model quantitatively evaluate rock-reinforced concrete structure under multiple failure modes, sensitivity each variable discussed depth. The results show that high-pressure tunnel high reliability. indexes mode decrease with increase coefficient variation (COV) variables. addition, same also exhibits varying degrees influence different modes.

Language: Английский

Citations

0