Article
Engineering, Ocean
Kai-Li Zhao, Liu-chao Qiu, Yi Liu
Summary: In this paper, a two-phase material point method (MPM) was used to simulate the generation of water waves caused by the collapse of granular-liquid mixtures into water. The accuracy and effectiveness of the method were validated through two experimental tests. The study also investigated the effects of the initial degree of saturation on the time evolution of the granular front and the amplitude of the leading wave.
APPLIED OCEAN RESEARCH
(2023)
Article
Engineering, Chemical
Ali Abbas Zaidi
Summary: This article studies the resistance or granular drag force experienced by an intruder during penetration into granular material, and explains the underlying physics. Numerical simulations using the discrete element method (DEM) show that particles undergo a jamming transition below the intruder, and the region of jammed particles increases with the depth of intrusion, which leads to an increase in the granular drag force.
Article
Engineering, Multidisciplinary
Amin Haeri, Krzysztof Skonieczny
Summary: This study focuses on the numerical implementation of the nonlocal granular fluidity (NGF) constitutive model within the continuum methods and evaluates the model through experimental data. The results are compared with other models.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Geological
Fengyuan Wu, Wei Sun, Xinchao Li, Yongping Guan, Manman Dong
Summary: This study investigates the dynamic process of soil landslides using the material point method (MPM). A friction algorithm based on MPM is developed, considering the pore water pressure for calculating basal friction. A large-scale debris flow experiment validates the effectiveness of MPM in simulating soil landslides. The calculated depths of debris flow using MPM show consistency with experimental results. The effects of basal friction angle and internal friction angle on debris flow depths are discussed. Additionally, a simulated landslide case using MPM is consistent with measured results, with analysis of horizontal and vertical velocity, velocity direction, and kinetic energy.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2023)
Article
Mechanics
G. Saingier, A. Sauret, P. Jop
Summary: The study investigates the flow of dry granular materials entering water, focusing on the transition from dry to wet grains, and systematically characterizes the phase of liquid invading a dense granular medium using experiments, analytical modelling, and numerical tools. Comparisons are made with a confined granular jet entering a water bath, providing insight into the interplay between dry grains and a liquid leading to particle dispersion.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Engineering, Geological
Yuan-Jun Jiang, Xiao-Yi Fan, Li-Jun Su, Si-you Xiao, Jing Sui, Rui-Xiao Zhang, Yue Song, Zhi-Wen Shen
Summary: This paper presents a new semi-empirical impact force model focusing on the normal impact force and its point of action, with an error margin within +/- 20% compared with experimental results. In calculating the residual force generated only by the static dead zone, the static friction angle between the dead zone and the chute base should be less than the value measured under kinetic conditions. Experimental results suggest that assuming the reaction force from the chute base operates at 2/3 of the deposition length provides the best estimation for the normal impact force.
Article
Engineering, Chemical
Ge Kang, You-jun Ning, Rui Liu, Peng-wan Chen, Si-ping Pang
Summary: This study utilized the continuous-discontinuous numerical method to simulate the generation of force chains and particle breakage in granular materials, revealing a direct relationship between particle breakage and the force-chain network. Small particles break first to fill voids with large displacement, while larger particles may not break as easily due to coordination number influences.
Article
Energy & Fuels
Wojciech T. Solowski, Seyedmohammadjavad Seyedan
Summary: The paper presents an improved Granular Material Point Method for unsaturated granular materials. It discusses the key processes occurring during unsaturated flows and proposes an algorithm for the method. Simulation results show that the proposed formulation leads to improved and different outcomes, highlighting the importance of considering partial saturation in material flow analysis. The paper also provides visual illustrations of the simulations through figures and videos.
GEOMECHANICS FOR ENERGY AND THE ENVIRONMENT
(2023)
Article
Mathematics, Interdisciplinary Applications
Yunyun Fan, Fuxuan Wang, Fang Zhang
Summary: The dynamic characteristics of granular flow are crucial for understanding the development of disasters. The material point method is an accurate and high-resolution approach for studying the dynamics of granular flow. Numerical simulations show that granular flow goes through different stages and the velocity profile changes accordingly. The lateral pressure coefficient is associated with the motion state in different development stages.
COMPUTATIONAL PARTICLE MECHANICS
(2023)
Article
Engineering, Marine
Jiangjie Jin, Li Zhou, Shifeng Ding, Yingjie Gu
Summary: A hovercraft's unique hull structure enables it to adapt to various environments, playing a crucial role in tasks such as icebreaking, transportation, and rescue operations. Ice load prediction is crucial for the structural safety and navigation of polar ships. This study analyzes the icebreaking process of hovercraft on ice sheets through numerical simulation, providing important insights for the preliminary design of new icebreaking hovercraft.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Environmental Sciences
Parin Izadi, Parnian Izadi, Ahmed Eldyasti
Summary: Three innovative mathematical models were established to assess the volumetric nitrogen conversion rates of a lab-scale ANAMMOX upflow anaerobic sludge blanket reactor. The models were calibrated and validated using BioWin (R), with Model III showing precise prognosis of effluent data. This study confirms the reliability of ANAMMOX-based process modeling and high predictive ability using BioWin (R).
Article
Engineering, Multidisciplinary
Le Tang, Chao Ge, Huan-guo Guo, Qing-bo Yu, Hai-fu Wang
Summary: Force chains based mesoscale simulation was used to investigate the response behavior of aluminum-polytetrafluoroethylene (Al-PTFE) granular composites under low-velocity impact. It was found that force chains, controlled by the number and size of agglomerated Al particles, significantly influence the impact response of the material. Additionally, different sized Al particles play different roles in the mechanical properties of composites.
DEFENCE TECHNOLOGY
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiao-Qiong Jiang, En -Long Liu
Summary: Saturation conditions are crucial in the mechanical behavior and interparticle contact system evolution of granular material. This study examines the properties of an interparticle contact network and force chain structure using data from discrete element simulations. The evolution of topological statistic features and force chain structure characteristics influenced by suction conditions are analyzed.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Mathematics, Applied
Kai -Li Zhao, Liu-chao Qiu, Yi Liu
Summary: Debris flows pose a great threat to people and property safety due to their high-speed sliding and complex mixture of granules and liquids. Understanding the kinematic characteristics of debris flows and accurately predicting their behavior is of great significance. This study presents a two-phase material point method (MPM) based on mixture theory to model the formation of watery tails and dry granular fronts observed in debris flows. The proposed method is validated through experimental data and applied to investigate the effects of various factors on the evolution of granules and liquid in debris flows.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2024)
Article
Engineering, Multidisciplinary
James Guilkey, Omar Alsolaiman, Robert Lander, Linda Bonnell, Jennie Cook
Summary: Modeling the behavior of granular materials using the Material Point Method is demonstrated, with a focus on treating contact between bodies and incorporating inter-granular bonding. The use of cohesive zones to represent bonds between grains in contact is described, and examples are provided to illustrate the capability in two and three dimensions. The ability to influence the stiffness and strength of bonded granular materials is showcased.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Construction & Building Technology
Wei Jin, Qiming Fu, Jianping Chen, Yunzhe Wang, Lanhui Liu, You Lu, Hongjie Wu
Summary: This paper proposes a novel method for building energy consumption prediction using Deep Reinforcement Learning (DRL) with consideration of fluctuation points. The method improves prediction accuracy and convergence stability compared to other comparable methods and representative DRL methods. The experimental results show the effectiveness of the proposed method.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Jianhua Yan, Jianping Chen, Yansong Zhang, Yongqiang Liu, Xiaohan Zhao, Jingyu Xue, Chun Zhu, Qaiser Mehmood, Qing Wang
Summary: This study develops a new semi-automatic dangerous rock blocks extraction approach using a rock slope surface model generated from UAV digital photogrammetry. The approach integrates geometric and mechanical modelling processes and considers line-type discontinuities on block formation. It is suitable for quantitative assessment of rockfall sources and provides automatic location, geometric, and stability results for identified blocks. The proposed approach is applied to a railway bridge in China for rockfall hazard evaluation.
COMPUTERS AND GEOTECHNICS
(2023)
Article
Engineering, Geological
Yiding Bao, Lijun Su, Jianping Chen, Chaojun Ouyang, Tao Yang, Zhihong Lei, Zhihai Li
Summary: This study utilized a three-dimensional model, based on the FDEM-SPH coupling approach, to reconstruct the Baige landslide that occurred on 11 October 2018 and blocked the Jinsha river. The numerical model accurately simulated the behavior of the landslide and subsequent water interaction. The results were compared with field investigation data and verified the accuracy of the model. The study also proposed three types of evolution mechanisms for high-level flow-like landslide-induced waves in deep river valleys.
ENGINEERING GEOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
You Lu, Yuhao Chen, Xiao Xu, Qiming Fu, Jianping Chen, Lanhui Liu
Summary: This paper proposes a sub-flow adaptive multipath routing algorithm for data centre networks (SAMP) that can adapt to dynamic changes and achieve collaborative scheduling of path selection and subflow assignment. Experimental results show that the algorithm reduces latency by an average of 31.3%, improves task transmission success rate by an average of 14.9%, and increases throughput by 37.1% compared to traditional methods.
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
(2023)
Review
Nanoscience & Nanotechnology
Xi Luo, Sudan Wu, Meng Xiao, Huan Gu, Huan Zhang, Jianping Chen, Yang Liu, Chen Zhang, Jinming Zhang
Summary: Zein, derived from corn, is recognized as one of the safest biological materials by the US FDA. It has valuable characteristics that make it popular for preparing drug carriers to improve the therapeutic effect of antitumor drugs. However, the clinical translation of drug-loaded zein-based carriers is challenging due to insufficient research and strong hydrophobicity. This paper aims to introduce the interactions between loaded drugs and zein, administration routes, and the functionalization of zein-based drug delivery systems, demonstrating its potential and promoting further application.
INTERNATIONAL JOURNAL OF NANOMEDICINE
(2023)
Article
Computer Science, Information Systems
Zhechao Wang, Qiming Fu, Jianping Chen, Yunzhe Wang, You Lu, Hongjie Wu
Summary: Reinforcement learning demands massive data in complex problems, posing challenges in applying it to real cases with sampling difficulties. Few-shot reinforcement learning (FS-RL), which addresses these few-shot problems, requires knowledge generalization. However, there is a lack of formal definition and comprehensive analyses of few-shot scenarios and FS-RL algorithms. This study provides a uniform definition and categorizes few-shot scenarios into two types, discussing existing algorithms and proposing future directions for FS-RL.
JOURNAL OF GRID COMPUTING
(2023)
Article
Engineering, Geological
Yiding Bao, Yansong Zhang, Jianping Chen, Lijun Su, Yongchao Li, Yuchao Li, Xudong Zhang, Yaowu Liu
Summary: In this paper, the authors studied the dynamic process of the Gangda paleolandslide blocking river event in the deep valley area. They proposed an integrated fluid-solid coupling method based on FDEM-SPH to investigate this event. The simulation results of the FDEM-SPH model showed good agreement with the field investigation and PFC3D simulation results. The study revealed that the primary process of the landslide lasted for 60 s, with a maximum overall feature speed of the sliding mass reaching 33 m/s.
Article
Green & Sustainable Science & Technology
Lei Hang, Feng Yang, Jie Xu, Zihao Zhao, Wei Xiao, Jia He
Summary: Biocement can be achieved through the microbially induced carbonate precipitation (MICP) process, which is an eco-friendly method for civil and environmental engineering applications. The effective production of ureolytic bacteria is a key step in this method. This study optimized the cultivation method of Sporosarcina pasteurii and conducted soil stabilization tests.
Article
Engineering, Geological
Yongqiang Liu, Jianping Chen, Chun Tan, Jiewei Zhan, Wanglai Xu, Jianhua Yan, Qing Wang
Summary: This study proposes a novel system based on manifold learning to analyze the distribution patterns of orientation data and characterize multiple discontinuity properties. The system utilizes manifold learning to explore and visualize the manifold structure of orientation data using a two-dimensional kernel density estimation technique. Other parameters are integrated into the manifold structure to capture multiple properties. The effectiveness of the proposed system is verified through comparison with a stereonet-based system.
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
(2023)
Article
Computer Science, Interdisciplinary Applications
Xueyang Zhou, Qiming Fu, Jianping Chen, Lanhui Liu, Yunzhe Wang, You Lu, Hongjie Wu
Summary: In biomedical literature, extracting the interaction relation between entities from cross-sentence texts is significant, but it is challenging due to longer sequence length. Graph-oriented modeling methods, such as SR-GAT, have gained attention for effectively handling global dependencies and structural information.
JOURNAL OF BIOMEDICAL INFORMATICS
(2023)
Article
Agriculture, Multidisciplinary
Kun Wang, Yanan Xu, Haozhang Huang, Dong Peng, Jianping Chen, Pan Li, Bing Du
Summary: This study investigated the underlying mechanism of the anti-proliferation effect of porcupine quills keratin peptides (PQKPs) on MCF-7 breast cancer cells. The results showed that PQKPs suppressed the proliferation of MCF-7 cells by inducing apoptosis and G0/G1 cell cycle arrest.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2023)
Article
Chemistry, Analytical
Jian-Ping Chen, La Chen, Lu-Hong Wen, Fang-Fang Zhao, Gang-Qiang Li, Jian-Qin Gan
Summary: A small PTR-MS setup was built based on ion trap MS in this study, and an ion funnel was used as the drift tube. The optimized PTR ion source improved the H30+(H20) signal significantly. The optimized system had a high detection limit for different VOCs and could identify molecules with close mass numbers using tandem mass spectrometry.
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY
(2023)
Article
Engineering, Multidisciplinary
Lifan Zhao, Zetian Huang, Qiming Fu, Nengwei Fang, Bin Xing, Jianping Chen
Summary: A sensitivity analysis combination method (SAC) was proposed to optimize the energy consumption of HVAC systems. Various optimal control methods were tested and evaluated using a simulated HVAC system in TRNSYS. The results demonstrate that the SAC method can significantly reduce computational load while maintaining equivalent energy performance.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2023)
Article
Geochemistry & Geophysics
Feifan Gu, Jianping Chen, Qi Zhang, Chun Tan, Yansong Zhang, Qing Wang
Summary: This study proposed a new method using uniformly equidistant orthogonal scanlines to investigate fractures in rock masses. By establishing a space intersection model, the solution formula for fracture size was derived. Experimental results showed that the proposed method is more reasonable and accurate.
Article
Construction & Building Technology
Lu Liu, Qiming Fu, You Lu, Yunzhe Wang, Hongjie Wu, Jianping Chen
Summary: This study proposes a novel feature selection method called CorrDQN-FS for optimizing energy consumption prediction. The method ranks features using Pearson correlation coefficient and utilizes deep reinforcement learning techniques to optimize the feature selection process. Experimental results demonstrate that CorrDQN-FS outperforms other methods in energy consumption prediction accuracy.
JOURNAL OF BUILDING ENGINEERING
(2023)
