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

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(22), С. 10527 - 10527

Опубликована: Ноя. 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.

Язык: Английский

Effect of Geometric Characteristics of Helical Piles on the Lateral Displacement in Sandy Slopes by Loading Surcharge DOI Creative Commons

Mir abas Bahri,

Mahyar Arabani

Results in Engineering, Год журнала: 2025, Номер unknown, С. 103896 - 103896

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Reliability analysis of soil slopes stabilized with piles under rainfall DOI Creative Commons
Xiangyu Ma, Yuanyuan Tao, Lu Meng

и другие.

Journal of Rock Mechanics and Geotechnical Engineering, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Experimental and Reliability Study of Nano-Silica Stabilized Problematic Soil in Lesser Himalayan Region DOI
Ishwor Thapa, Sufyan Ghani

Geotechnical and Geological Engineering, Год журнала: 2024, Номер unknown

Опубликована: Окт. 3, 2024

Язык: Английский

Процитировано

2
STABILITY ASSESSMENT OF ROOT-REINFORCED SLOPES USING FINITE ELEMENT LIMIT ANALYSIS DOI Creative Commons
Dio Alif Hutama, Himatul Farichah

Jurnal PenSil, Год журнала: 2024, Номер 13(2), С. 158 - 168

Опубликована: Май 29, 2024

Slope instability poses serious threats to infrastructure and environmental sustainability. As a result, numerous reinforcement techniques have been used as disaster mitigation attempts prevent slope failure. Among various traditional methods, the use of vegetion root is more cost-effective environmentally friendly. This paper presents stability assessment root-reinforced slopes. Firstly, models were built for case bare The angles varied in range 15º ~ 55 º. cohesion depth zone adjusted within ranges 0 20 kPa ~1.5 m, respectively. strength reduction finite element limit analysis method was applied evaluate slopes this study. results indicate that factor safety increases with increasing zone. best obtained 1.5 Shear dissipation contours also show reduces shear energy along failure surface, consequently lowering possibility

Язык: Английский

Процитировано

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

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(22), С. 10527 - 10527

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

0