Article
Engineering, Aerospace
Hui Wu, Weifang Chen, Zhongzheng Jiang
Summary: The velocity slip and temperature jump for a two-dimensional rough plate under hypersonic conditions were analyzed using the DSMC method. The effects of relative roughness height on the slip coefficients were discussed, and a new slip model for rough surfaces was established. The modified slip model improves the accuracy of macroscopic properties, especially the heat transfer coefficient.
CHINESE JOURNAL OF AERONAUTICS
(2023)
Article
Chemistry, Multidisciplinary
Rong Yang, Boyan Sun, Yukuai Wan, Xinyue Gao
Summary: This paper proposes an improved entry and exit approach to search for the critical slip surface, which enhances computational efficiency while improving search accuracy. By utilizing random field analysis and conducting Monte Carlo simulation, this method can effectively assess the reliability of slopes in spatially variable soils.
APPLIED SCIENCES-BASEL
(2023)
Article
Geosciences, Multidisciplinary
Yibiao Liu, Weizhong Ren, Chenchen Liu, Guijun Fu, Wenhui Xu, Simin Cai
Summary: The proposed OS-ELM-MCS method combines the OS-ELM with the MSQP algorithm to search for probabilistic critical slip surfaces with arbitrary shapes, allowing for reliability and deterministic analysis under the same algorithm framework. The results of the study verify the superior accuracy and time performance of this method compared to traditional algorithms, suggesting the necessity of combining reliability and deterministic analysis to improve the credibility of stability analysis results.
Article
Computer Science, Interdisciplinary Applications
Kiyonobu Kasama, Zentaro Furukawa, Lihang Hu
Summary: This study investigates the impact of spatial variability on the stability of a real 3D slope subjected to earthquakes through conventional Monte Carlo simulation and a stochastic response surface method. By combining a variance reduction method, the stochastic response surface method was shown to effectively reduce computational load and demonstrate good applicability in terms of slope reliability assessment.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Engineering, Environmental
Zhiyong Yang, Jiayan Nie, Xing Peng, Dong Tang, Xueyou Li
Summary: This study systematically investigates the influence of RFE size on statistics of factor of safety (FS) and sliding mass (SM) distribution, critical slip surfaces, reliability, and risk of slopes, showing that the RFE sizes have a relatively larger influence on the distribution of SM than that of FS, tending to overestimate slope failure probability and risk with larger RFE sizes.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Jiayi Ding, Jianfang Zhou, Wei Cai, Dingcong Zheng
Summary: The study introduces a modified optimization algorithm to accelerate the determination speed of critical slip surfaces in slope reliability analysis. By combining with subset simulation method, the algorithm demonstrates good convergence rate and effectiveness in four examples of soil slopes.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Engineering, Environmental
Xueyou Li, Yadong Liu, Zhiyong Yang, Zhenzhu Meng, Limin Zhang
Summary: The paper proposes an efficient slope reliability analysis method based on active learning support vector machine (SVM) and Monte Carlo simulation (MCS), which updates the model by selecting appropriate training samples to improve efficiency and accuracy. The effectiveness of the method is demonstrated using four slope examples and compared with other surrogate models, showing better computational efficiency and similar estimation accuracy.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Yadong Liu, Xueyou Li, Xian Liu, Zhiyong Yang
Summary: This paper proposes a novel method that combines the shear strength reduction technique, surrogate models, and an adaptive pool-based sampling strategy for efficient slope reliability analysis. The method replaces the time-consuming slope stability model with a surrogate model and utilizes the SSR technique and adaptive sampling to generate informative training samples, thereby improving computational efficiency.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Polymer Science
Pritam Kumar Jana, Petra Bacova, Ludwig Schneider, Hideki Kobayashi, Kai-Uwe Hollborn, Patrycja Polinska, Craig Burkhart, Vagelis A. Harmandaris, Marcus Mueller
Summary: The theological properties of polymer composites depend on the interfacial interactions between solid fillers and a polymer fluid. This study presents a simulation strategy called the wall-spring thermostat, which uses transient bonds to mimic the interactions between the polymer and the solid surface. The density and lifetime of these transient bonds can be adjusted to control the single-chain and collective dynamics of the polymer at the surface. The simulation technique allows for the capture of dynamic heterogeneities at surfaces.
Article
Computer Science, Interdisciplinary Applications
Xin Liu, Yu Wang
Summary: This study develops a method based on Monte Carlo simulation to assess the annual slope failure probability (PFA) considering both soil spatial variability and rainfall uncertainty. Results show that the semi-analytical and Monte Carlo simulation-based methods produce consistent PFA. When the variability of soil properties is negligible, PFA is dominated by rainfall uncertainty and converges to a constant failure probability.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Psychology, Multidisciplinary
Italo Trizano-Hermosilla, Jose L. Galvez-Nieto, Jesus M. Alvarado, Jose L. Saiz, Sonia Salvo-Garrido
Summary: In the context of multidimensional structures, using traditional measurement methods may lead to bias in reliability estimates, specific estimators suitable for structural complexity should be chosen for reliability estimation. Through simulation studies and empirical examples, results show that in multidimensional measures, certain specific estimators can more accurately estimate the total reliability parameter.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Engineering, Industrial
Yifang Xiong, Suresh Sampath
Summary: This study proposes three methods to improve the algorithm performance of AK-MCS, including candidate size control, multiple trends, and weighted clustering. When these three methods work together, they significantly reduce computational time while achieving higher accuracy.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Computer Science, Information Systems
Jian Wang, Xiang Gao, Runan Cao, Zhili Sun
Summary: The MLMC method introduced in this study can effectively reduce the computational complexity of MCS, optimize the allocation of computational resources to achieve a satisfying estimation of failure probability at the minimal computational cost.
Article
Geosciences, Multidisciplinary
Longlong Chen, Wengang Zhang, Fuyong Chen, Dongming Gu, Lin Wang, Zhenyu Wang
Summary: Anisotropic spatial variability of soil properties has a significant influence on slope failure probability and failure characteristics. The directional angles of scales of fluctuation and the cross-correlation between soil properties are the key factors. General anisotropic spatial variability has a stronger effect on slope reliability compared to transverse anisotropic spatial variability.
GEOSCIENCE FRONTIERS
(2022)
Article
Engineering, Mechanical
Wenxin Zhang, Bao Zhu
Summary: This study focuses on the hydrophobic surface sliding bearing, utilizing a nonlinear limiting shear stress model and efficient Monte Carlo search for simulation and optimization. Results validate the method and examine the impact of aspect ratios on optimal configuration.
TRIBOLOGY INTERNATIONAL
(2023)