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Numerical study on micro-fracture mechanism of rock dynamic failureinduced by abrupt unloading under high in-situ stresses

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Theoretical & Applied Mechanics Letters 2024年第6期14卷 486-495页

作者： Yuezong Yang Anye Li Zhushan Shao Kui Wu Wei Wei Wenhui Du Yujie Wang School of Science Xi’an University of Architecture and TechnologyXi’an 710055China CAEP Software Center for High Performance Numerical Simulation Institute of Applied Physics and Computational Mathematics BeijingBeijing 100088China

Rock burst is a kind of severe engineering disaster resulted from dynamic fracture process of *** macrofailure behaviors of rocks are primarily formed after experiencing the initiation,propagation,and coalescenceof *** this paper,the grain-based discretized virtual internal bond model is employed to investigatethe fracturing process of unloaded rock under high in-situ stresses from the micro-fracture *** micro-fracturing process reveals that the longitudinal stress waves induced by unloading lead to thevisible unloading *** influences of in-situ stresses,mineral grain sizes,and grain heterogeneity on rockmacro and micro fracture are ***-crack areas of tensile and shear cracks and micro-crack anglesare statistically analyzed to reveal the rock micro-fracture *** simulated results indicate thatthe combined effect of the stress state transition and the unloading effect dominates the rock unloading *** vertical and horizontal in-situ stresses determine the stress state of surrounding rock after unloading andthe unloading effect,*** the vertical stress increases,the stress level after unloading is higher,andthe shear failure characteristics become more *** the horizontal stress increases,the unloading effectincreases,leading to the intensification of tensile *** mineral grain size and grain heterogeneity alsohave nonnegligible influences on rock unloading *** micro-fracture perspective provides further insightinto the unloading failure mechanism of deep rock excavation.

关键词： Rock burst Micro-fracture Dynamic failure Unloading effect

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A Model for Calculating the Underwater Threat Range of a Naval Vessel 4

A Model for Calculating the Underwater Threat Range of a Nav...

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4th International Conference on Computer Science and Blockchain, CCSB 2024

作者： Long, Fei Sun, Weidong Yang, Guangfei Institute of Software and Simulation Dalian Academy Liaoning Dalian China Dalian University of Technology Liaoning Dalian China

ISBN: (纸本)9798350356502

In response to the calculation problem of the underwater threat range of naval vessels, this article proposed a problem, determined the underwater threat situation of naval vessels segments, and based on this, proposed a calculation model for the underwater threat range of naval vessels. The example verification shown that the calculation model proposed in the article could conveniently and quickly calculate the range of underwater threats to naval vessels, and can be used as a tactical calculation tool for commanders to make command decisions during underwater operations, which can assist commanders in maneuvering ships and using underwater defense weapons to respond to underwater threats. © 2024 IEEE.

关键词： Maneuverability

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Towards optimized tensor code generation for deep learning on sunway many-core processor

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Frontiers of Computer Science 2024年第2期18卷 1-15页

作者： Mingzhen LI Changxi LIU Jianjin LIAO Xuegui ZHENG Hailong YANG Rujun SUN Jun XU Lin GAN Guangwen YANG Zhongzhi LUAN Depei QIAN State Key Laboratory of Software Development Environment Beijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China National University of Singapore Singapore 119077Singapore State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214000China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing 100854China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to provide application *** the existing deep learning compilers,TVM is well known for its efficiency in code generation and optimization across diverse hardware *** the meanwhile,the Sunway many-core processor renders itself as a competitive candidate for its attractive computational power in both scientific computing and deep learning *** paper combines the trends in these two ***,we propose swTVM that extends the original TVM to support ahead-of-time compilation for architecture requiring cross-compilation such as *** addition,we leverage the architecture features during the compilation such as core group for massive parallelism,DMA for high bandwidth memory transfer and local device memory for data locality,in order to generate efficient codes for deep learning workloads on *** experiment results show that the codes generated by swTVM achieve 1.79x improvement of inference latency on average compared to the state-of-the-art deep learning framework on Sunway,across eight representative *** work is the first attempt from the compiler perspective to bridge the gap of deep learning and Sunway processor particularly with productivity and efficiency in *** believe this work will encourage more people to embrace the power of deep learning and Sunwaymany-coreprocessor.

关键词： sunway processor deep learning compiler code generation performance optimization

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Strain-modulated superconductivity of monolayer Tc_(2)B_(2)

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Chinese Physics B 2025年第4期34卷 221-227页

作者： Zhengtao Liu Zihan Zhang Hao Song Tian Cui Defang Duan Key Laboratory of Material Simulation Methods&Software of Ministry of Education State Key Laboratory of Superhard MaterialsCollege of PhysicsJilin UniversityChangchun 130012China Institute of High Pressure Physics School of Physical Science and TechnologyNingbo UniversityNingbo 315211China

Two-dimensional(2D)superconductors have attracted significant research interest due to their promising potential applications in optoelectronic and microelectronic ***,we employ first-principles calculations to predicted a new 2D conventional superconductor,Tc_(2)B_(2),demonstrating its stable structural ***,under biaxial strain,the superconducting transition temperature(T_(c))of Tc_(2)B_(2)demonstrates a significant enhancement,achieving 19.5 K under 3%compressive strain and 9.2 K under 11%tensile *** study reveals that strain-induced modifications in Fermi surface topology significantly enhance the Fermi surface nesting effect,which amplifies electron–phonon coupling interactions and consequently elevates ***,the presence of the Lifshitz transition results in a more pronounced rise in Tc under compressive strain compared to tensile *** insights offer important theoretical guidance for designing 2D superconductors with high-Tc through strain modulation.

关键词： two-dimensional superconductivity strain modulation first-principles calculation

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A Knowledge-Guided Emergency Response Rule Mining Method with Imporved Genetic Algorithm 16

A Knowledge-Guided Emergency Response Rule Mining Method wit...

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16th International Conference on Advanced Computational Intelligence, ICACI 2024

作者： Ye, Xin Zhou, Qinqin Wang, Ying Wang, Yitao Su, Xiaoyan Zhang, Lei Guo, Yanhong Dalian University of Technology School of Economics and Management Dalian China Dalian Naval Academy The Operation Software and Simulation Institute Dalian China

ISBN: (纸本)9798350308501

The frequent occurrence of emergencies in recent years has seriously affected the stability and development of society and economy. Effectively responding to emergencies has become a crucial research topic. A large number of emergency cases contain potential rules and valuable response experience in the process of occurrence, development and response, and the association rule mining can discover the fine-grained and valuable "if scenario then response"association rules in the cases. The knowledge of emergency response rules obtained from mining can assist the generation of response programs under actual emergency scenarios and provide reference basis for emergency decision-making. The existing methods only consider the support and confidence indicators but ignore the lift and comprehensibility of the rules and the lack of domain knowledge guidance in the mining process. Aiming at the problem, this paper proposes a response rule mining method based on knowledge guidance and improved genetic algorithm, which effectively reduces the number of low-quality rules and attributes of the mined rules and improves the quality and efficiency of association rule mining. © 2024 IEEE.

关键词： Genetic algorithms

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Influence of the topological Lifshitz transition on the superconductivity of the high-pressure electride Li4Pd

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Physical Review B 2025年第10期111卷 L100505-L100505页

作者： Zhiyao Guan Tian Cui Da Li State Key Lab of Superhard Materials and Key Laboratory of Material Simulation Methods and Software of Ministry of Education College of Physics Jilin University Changchun 130012 People's Republic of China School of Physical Science and Technology Ningbo University Ningbo 315211 People's Republic of China

High-pressure electride (HPE) superconductors often maintain structural symmetry over a wide pressure range, whereas their interstitial anion electrons (IAEs) undergo significant changes in topology and energy levels, potentially resulting in topological Lifshitz transitions in their Fermi surfaces. These Lifshitz transitions can play critical roles in influencing superconducting properties. However, their impact on the superconductivity of HPEs remains largely unexplored. To address this gap, we investigate a novel HPE, Li4Pd, which features distinct Fermi surfaces, including a hole ellipsoid and a warped electron rectangular cylinder. This combination satisfies the conditions for a Kohn anomaly, suggesting that Li4Pd may be a potential HPE superconductor. Our theoretical calculations reveal that under high pressures, the Fermi surface of Li4Pd undergoes a Lifshitz transition that affects the momentum distribution of electrons on the Fermi surface, leading to changes in the energy provided by phonons for forming Cooper pairs. Moreover, this transition modifies the phonon frequencies involved in electron-phonon coupling. The superconducting transition temperature of Li4Pd is calculated to be 34.5 K at 250 GPa, which is comparable to that of Li6P (39.3 K at 270 GPa). Our findings indicate that the formation of closed Fermi surfaces with extended spatial scales is a general feature that could be leveraged to design new classes of high-temperature superconductors among HPEs.

关键词： Fermi surface

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RESEARCH ON VIRTUAL STEERING SOUND IN PARKING MODE 30

RESEARCH ON VIRTUAL STEERING SOUND IN PARKING MODE

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30th International Congress on Sound and Vibration, ICSV 2024

作者： Jo, Hyeon-Cheol Seo, Jae-Yong Park, Kyung-Hwan Kang, Bo-Seok Cho, In-Je Van Wayenberge, Tom Bodden, Markus Belschner, Torsten Applied NVH Technology Cell Hyundai Mobis Korea Republic of Simulation & Test Solutions Siemens Digital Industries Software DI SW Belgium Neosonic Germany

ISBN: (纸本)9789090390581

In a vehicle, the Electric Power Steering (EPS) is a steering system that utilizes an electric motor to assist the driver’s steering efforts. EPS systems are categorized on the location of the motor and the method of power transmission. The type where the motor is mounted on the rack and power is transmitted via a belt is referred to as Rack-Assisted EPS(R-EPS). This R-EPS occasionally leads to noise issues, which are especially noticeable in electric vehicles due to their lower background noise. This requires stringent management and attention to the emotional quality to ensure the sounds do not detract from the overall driving experience. Due to the global trend of increasing electric vehicle market share as a response to climate change, a fundamental solution for managing noise in R-EPS is necessary. However, realistically, resolving these issues through design improvements is quite limited. In this paper, research on the development of a system that generates virtual steering sounds when driver is steering is introduced. Based on the conclusions drawn from analyzed the operational noise of R-EPS, we designed sounds to mask the operational noise. Additionally, we focused on designing the sound by establishing a concept based on our symbol to reflect our brand identity and considered the noise characteristics of R-EPS. In actual vehicles, the virtual steering sound system was developed to function based on steering angle, steering speed, steering torque, and vehicle speed, with the sound fine-tuned to suit the actual driving environment. © 2024 Proceedings of the International Congress on Sound and Vibration. All rights reserved.

关键词： Acoustic noise

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An algorithm for determining the entry of a warship into an underwater threat zone 4

An algorithm for determining the entry of a warship into an ...

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4th International Conference on Advanced Algorithms and Neural Networks, AANN 2024

作者： Long, Fei Xiao, Yujie Xiong, Zhenkai Institute of Software and Simulation Dalian Academy Liaoning Dalian China Naval Research academy Beijing China Anhui University of Science and Technology Anhui Nanjing China

ISBN: (纸本)9781510686106

Regarding the issue of determining whether a warship has entered an underwater threat zone, this article established an algorithm coordinate system, classified the location relationship between legs and underwater threat zones, and included the method of judging the classification for each situation, on this basis the judgment rules were established. The example verification preliminarily shown that the judgment algorithm proposed in the article could quickly and accurately determine whether a warship had entered the underwater threat zone, directly serving as a reference for warship maneuvering. After technical application research and verification, it can be embedded in the warship's combat command decision support system, which can provide practical auxiliary decision support for commanders. © 2024 SPIE.

关键词： Warships

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A Deep Learning-Based Stereo Speckle Image Matching Method for Rapid 3D Reconstruction of Weakly-Textured Surfaces 15

A Deep Learning-Based Stereo Speckle Image Matching Method f...

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15th International Conference on Information Optics and Photonics, CIOP 2024

作者： Feng, Yahong Zhang, Shijin Wu, Yuqiang Jiang, Fengyang School of Software Northwestern Polytechnical University Xi'an710129 China AVIC United Technology Center for Multi-axis CNC Machining and Simulation AVIC Information Technology Co. Ltd. Beijing100020 China

ISBN: (数字)9781510686175

ISBN: (纸本)9781510686168

Currently, the 3D model reconstruction technology based on binocular stereo vision becomes very popular, however, the current stereo matching method is difficult to be applied for objects with weakly-textured surface, further leads to low accuracy and poor efficiency of 3D reconstruction for those objects. To improve the reconstruction accuracy and efficiency, a series of methods, such as image enhancement, better feature extraction algorithm and structured light technology have been searched. However, those methods provided are either costly or computationally complex, which lead to very limited application. To solve the above problem, a new method has been proposed in this paper, in which, using speckle patterns to enhance texture features and further to improve the 3D reconstruction accuracy of the weakly-textured surface. In addition, based on the analysis of the traditional speckle image matching methods, this new method takes advantage of the great potential of deep learning techniques to improve the matching accuracy and efficiency. Experiments demonstrate that the deep learning-based stereo speckle matching network achieves a matching accuracy of 10-3 pixels and efficiency of 9.37×105 POI/S. With this new method, a fast and accurate 3D reconstruction of the weakly-textured surface can be achieved. © 2024 SPIE.

关键词： Stereo vision

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Electronic structure and carrier mobility of BSb nanotubes

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Chinese Physics B 2025年第3期34卷 183-188页

作者： Lantian Xue Chennan Song Miaomiao Jian Qiang Xu Yuhao Fu Pengyue Gao Yu Xie State Key Laboratory of High Pressure and Superhard Materials College of PhysicsJilin UniversityChangchun 130012China Key Laboratory of Material Simulation Methods&Software of Ministry of Education College of PhysicsJilin UniversityChangchun 130012China Key Laboratory of Physics and Technology for Advanced Batteries of Ministry of Education College of PhysicsJilin UniversityChangchun 130012China

High-mobility semiconductor nanotubes have demonstrated great potential for applications in high-speed transistors,single-charge detection,and memory *** we systematically investigated the electronic properties of single-walled boron antimonide(BSb)nanotubes using first-principles *** observed that rolling the hexagonal boron antimonide monolayer into armchair(ANT)and zigzag(ZNT)nanotubes induces compression and wrinkling effects,significantly modifying the band structures and carrier mobilities through band folding andπ^(*)-σ^(*)*** the chiral index increases,the band gap and carrier mobility of ANTs decrease monotonically,where electron mobility consistently exceeds hole *** contrast,ZNTs exhibit a more complex trend:the band gap first increases and then decreases,and the carrier mobility displays oscillatory *** particular,both ANTs and ZNTs could exhibit significantly higher carrier mobilities compared to hexagonal monolayer and zinc-blende BSb,reaching 10^(-3)-10^(-7) cm^(-2)·V^(-1)·s^(-1).Our findings highlight strong curvature-induced modifications in the electronic properties of single-walled BSb nanotubes,demonstrating the latter as a promising candidate for high-performance electronic devices.

关键词： ab initio calculations nanotubes electronic structure carrier mobility

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