Retrospective and prospective review of the generalized nonlinear strength theory for geomaterials

Strength theory is the basic theory for calculating and designing the strength of engineering materials in civil,hydraulic,mechanical,aerospace,military,and other engineering disciplines.Therefore,the comprehensive study of the generalized nonlinear strength theory(GNST)of geomaterials has significance for the construction of engineering rock strength.This paper reviews the GNST of geomaterials to demonstrate the research status of nonlinear strength characteristics of geomaterials under complex stress paths.First,it systematically summarizes the research progress of GNST(classical and empirical criteria).Then,the latest research the authors conducted over the past five years on the GNST is introduced,and a generalized three-dimensional(3D)nonlinear Hoek‒Brown(HB)criterion(NGHB criterion)is proposed for practical applications.This criterion can be degenerated into the existing three modified HB criteria and has a better prediction performance.The strength prediction errors for six rocks and two in-situ rock masses are 2.0724%-3.5091%and 1.0144%-3.2321%,respectively.Finally,the development and outlook of the GNST are expounded,and a new topic about the building strength index of rock mass and determining the strength of in-situ engineering rock mass is proposed.The summarization of the GNST provides theoretical traceability and optimization for constructing in-situ engineering rock mass strength.

基于Midas GTS的某近海深基坑开挖三维有限元数值模拟分析

为研究近海深基坑在桩锚支护体系下土体开挖变形规律,考虑水流渗透作用,运用Midas GTS对某深基坑开挖过程进行模拟,并结合已有资料进行分析。结果表明:该深基坑开挖后的第一步为最危险施工步,桩顶土体最大位移为13.97 mm,越往下开挖支护体系越完善,位移变化越小,实际监测最大位移值为15.36 mm;整个等效地连墙在钢腰梁与锚索位置处向基坑内部变形收缩程度最大,为6.6 mm,符合实际变形规律。Midas GTS能有针对性地指导现实施工阶段,可为基坑监测布置设置点提供参考价值。

基于Midas GTS/NX的新疆沙漠输水明渠风积土岸坡稳定性分析

为了准确评估各类工况对新疆沙漠输水明渠风积土岸坡稳定性的影响。通过开展室内土工试验及对该渠道岸坡地质工况进行了调查,采取Midas GTS/NX软件中的强度折减法对输水明渠在未加固和加固两种工况下的竣工期、降雨期、输水期和水位骤降4个时期的二维岸坡进行稳定性计算,通过对比岸坡在未加固与加固两个工况下4个时期的整体位移量、等效塑性应变区和安全系数,对岸坡整体稳定及加固效果给出了分析及评价。结果表明:渠道未加固与加固两个工况下4个时期下风积土岸坡均处于稳定状态,安全系数均大于1.30;渠道位于输水期时,坡体前缘水压增加,有效提高渠道岸坡的安全系数,但水位骤降对风积土岸坡稳定性影响最大,降雨次之;未加固时,4个时期的岸坡等效塑性应变区呈圆弧状且已贯通;经加固后,岸坡等效塑性应变区大体沿衬砌呈直线分布,滑移带位移变形得到较好控制,极大程度降低了滑坡灾害发生的可能性。研究结果在一定程度上可以为新疆沙漠风积土输水渠道工程建设提供参考。

Combining stochastic density functional theory with deep potential molecular dynamics to study warm dense matter

In traditional finite-temperature Kohn–Sham density functional theory(KSDFT),the partial occupation of a large number of high-energy KS eigenstates restricts the use of first-principles molecular dynamics methods at extremely high temperatures.However,stochastic density functional theory(SDFT)can overcome this limitation.Recently,SDFT and the related mixed stochastic–deterministic density functional theory,based on a plane-wave basis set,have been implemented in the first-principles electronic structure software ABACUS[Q.Liu and M.Chen,Phys.Rev.B 106,125132(2022)].In this study,we combine SDFT with the Born–Oppenheimer molecular dynamics method to investigate systems with temperatures ranging from a few tens of eV to 1000 eV.Importantly,we train machine-learning-based interatomic models using the SDFT data and employ these deep potential models to simulate large-scale systems with long trajectories.Subsequently,we compute and analyze the structural properties,dynamic properties,and transport coefficients of warm dense matter.

平面磨削GT35残余应力形成机理与可控工艺方案

陀螺仪电机轴承套等钢结硬质合金GT35材料零件由于加工过程中的微应力控制不当经常出现表面开裂、尺寸变形等质量问题,给陀螺仪的生产带来了不小的困扰。为了探究平面磨削加工工艺参数对表面残余应力的影响,实现低残余应力加工的可控工艺方案,文章分析了平面磨削GT35残余应力的形成机理,采用KP-36精密磨床开展了磨削试验,对砂轮线速度、径向磨削深度、工件进给速度以及砂轮结合剂种类等工艺参数进行了因素轮换法试验分析,并采用X射线衍射进行了残余应力检测。试验研究结果表明,在GT35钢结硬质合金平面磨削工艺参数中径向磨削深度影响程度占比49%、工件进给速度占比25%、结合剂种类占比16%、砂轮线速度占比10%;工件进给速度为18 m/min时残余应力最小;树脂结合剂砂轮比青铜结合剂砂轮加工后零件残余应力平均小10%。GT35材料零件平面磨削残余应力可控工艺方案为采用青铜结合剂金刚石砂轮并选用0.002 mm的径向磨削深度、18 m/min的工件进给速度以及30 m/s的砂轮线速度。

F-μbond length andμSR depolarization spectrum calculation for fluoride using two-component density functional theory

First-principles calculation of muons in ionic fluorides has been proposed recently.However,there is a considerable difference between the obtained F-μbond length and the experimental data obtained by muon spin relaxation(μSR).Considering that the difference may be caused by ignoring the quantum effect of muons,we use two-component density functional theory(TCDFT)to consider the quantized muon and recalculate the bond length and theμSR depolarization spectrum.After testing several muon-electron correlation,we show that TCDFT can give better results than the commonly used“DFT+μ”.

基于贝叶斯理论的HotellingT2小样本多元工序质量监控方法

适用于多元质量控制的传统HotellingT2控制图方法,在小批量加工时因样本数据少而对异常值较敏感,存在一定局限性。为此,将贝叶斯理论与传统HotellingT2控制图相结合,通过历史批次工序质量分布信息和现有样本实时数据估计贝叶斯参数,构造基于贝叶斯理论的HotellingT2工序质量控制图,以在小批量加工的多元质量控制过程中抵御异常值造成的影响。通过发动机凸轮轴工序质量控制实例分析表明,所提方法相较于传统方法能有效抵御异常值造成的影响,具有良好的抗干扰性和稳定性,能更好地监测工序质量控制的失控状态。

非小细胞肺癌微卫星(GT/CA)_(n)重复序列多态性的研究进展

非小细胞肺癌(NSCLC)是肺癌最主要的组织学类型,患者数量庞大且晚期患者疗效差,现有治疗手段虽取得巨大进展但仍面临挑战。肿瘤的发生伴随大量基因组序列的不稳定,(GT/CA)_(n)重复序列是一种常见的微卫星序列,参与了基因转录和DNA甲基化等调控过程。现有研究表明,NSCLC中(GT/CA)_(n)重复序列的多态性与EGFR、HO-1和HIF-1α基因的表达密切相关,可作为探索NSCLC发生发展的分子机制、开发诊疗预后分子标志物及相关表观遗传学研究的切入点。本文总结了NSCLC中微卫星(GT/CA)_(n)重复多态性的相关研究,希望能为NSCLC的相关研究提供参考。

基于Midas GTS分析的深基坑降水开挖变形特性研究

基于Midas GTS软件对广州某深基坑开挖过程进行数值模拟,考虑渗流作用的影响,对比分析了两种情况下基坑开挖过程中周边地表沉降变形、围护结构水平位移的变化规律,并与现场地面沉降调查结果进行比较。结果表明,地下水渗流作用在基坑降水开挖过程中有显著影响。

基于MIDAS GTS的顶管下穿施工对高铁桥梁影响的数值分析

为研究新建天然气管道下穿施工对京津城际铁路杨村特大桥的影响,以高压天然气管道穿越京津城际铁路防护套管工程为背景,对下穿京津城际铁路杨村特大桥段顶管施工进行设计,通过运用MIDAS GTS有限元软件对顶管施工下穿高铁桥梁进行有限元数值分析,得出了采取顶管下穿高铁桥梁施工,会引起铁路桥墩的扰动和变形,进而引起结构受力的变化。在揭示了施工过程前后地层应力分布变化规律后,提出相关改进建议。

拟南芥GT47基因家族鉴定及不同胁迫下的表达特征

【目的】筛选拟南芥糖基转移酶GT47基因家族,进一步了解GT47基因家族的生物信息学特征,为其功能及抗逆性研究提供参考。【方法】利用生物信息学方法在拟南芥GT47基因家族中挖掘并鉴定出39个基因,并对这些基因进行系列分析。【结果】家族蛋白为亲水性蛋白质,大部分蛋白稳定性较差,亚细胞定位预测显示,大部分基因定位于高尔基体。蛋白质结构预测表明,α-螺旋和无规则卷曲是二级结构的主要组成部分,三级结构具有相似性。基因结构和保守基序分析发现,各亚族成员间具有相似的保守基序和进化的保守性。系统发育树分析显示,该基因家族可分为6个亚家族,基因在不同物种间具有一定保守性。启动子顺式作用元件分析表明,拟南芥GT47家族基因具有多种激素响应元件及非生物胁迫响应元件。表达模式分析表明,拟南芥GT47基因家族在不同组织中广泛表达,对6 h的热胁迫表现明显的响应,尤其是AT1G63450在冷、干旱、盐及2 h热胁迫下发生了下调,但是在6 h热胁迫下发生了上调。【结论】糖基转移酶基因在不同组织中的表达具有显著差异,能响应ABA激素信号传导并参与植物调控胁迫应激过程,对植物生长发育有重要意义。

Prospect Theory Based Individual Irrationality Modelling and Behavior Inducement in Pandemic Control

Understanding and modeling individuals’behaviors during epidemics is crucial for effective epidemic control.However,existing research ignores the impact of users’irrationality on decision-making in the epidemic.Meanwhile,existing disease control methods often assume users’full compliance with measures like mandatory isolation,which does not align with the actual situation.To address these issues,this paper proposes a prospect theorybased framework to model users’decision-making process in epidemics and analyzes how irrationality affects individuals’behaviors and epidemic dynamics.According to the analysis results,irrationality tends to prompt conservative behaviors when the infection risk is low but encourages risk-seeking behaviors when the risk is high.Then,this paper proposes a behavior inducement algorithm to guide individuals’behaviors and control the spread of disease.Simulations and real user tests validate our analysis,and simulation results show that the proposed behavior inducement algorithm can effectively guide individuals’behavior.

Density functional theory study of B- and Si-doped carbons and their adsorption interactions with sulfur compounds

Understanding the adsorption interactions between carbon materials and sulfur compounds has far-reaching impacts,in addition to their well-known important role in energy storage and conversion,such as lithium-ion batteries.In this paper,properties of intrinsic B or Si single-atom doped,and B-Si codoped graphene(GR)and graphdiyne(GDY)were investigated by using density functional theory-based calculations,in which the optimal doping configurations were explored for potential applications in adsorbing sulfur compounds.Results showed that both B or Si single-atom doping and B-Si codoping could substantially enhance the electron transport properties of GR and GDY,improving their surface activity.Notably,B and Si atoms displayed synergistic effects for the codoped configurations,where B-Si codoped GR/GDY exhibited much better performance in the adsorption of sulfurcontaining chemicals than single-atom doped systems.In addition,results demonstrated that,after B-Si codoping,the adsorption energy and charge transfer amounts of GDY with sulfur compounds were much larger than those of GR,indicating that B-Si codoped GDY might be a favorable material for more effectively interacting with sulfur reagents.

Local thermal conductivity of inhomogeneous nano-fluidic films:A density functional theory perspective

Combining the mean field Pozhar-Gubbins(PG)theory and the weighted density approximation,a novel method for local thermal conductivity of inhomogeneous fluids is proposed.The correlation effect that is beyond the mean field treatment is taken into account by the simulation-based empirical correlations.The application of this method to confined argon in slit pore shows that its prediction agrees well with the simulation results,and that it performs better than the original PG theory as well as the local averaged density model(LADM).In its further application to the nano-fluidic films,the influences of fluid parameters and pore parameters on the thermal conductivity are calculated and investigated.It is found that both the local thermal conductivity and the overall thermal conductivity can be significantly modulated by these parameters.Specifically,in the supercritical states,the thermal conductivity of the confined fluid shows positive correlation to the bulk density as well as the temperature.However,when the bulk density is small,the thermal conductivity exhibits a decrease-increase transition as the temperature is increased.This is also the case in which the temperature is low.In fact,the decrease-increase transition in both the small-bulk-density and low-temperature cases arises from the capillary condensation in the pore.Furthermore,smaller pore width and/or stronger adsorption potential can raise the critical temperature for condensation,and then are beneficial to the enhancement of the thermal conductivity.These modulation behaviors of the local thermal conductivity lead immediately to the significant difference of the overall thermal conductivity in different phase regions.

The “Dead Universe” Theory: Natural Separation of Galaxies Driven by the Remnants of a Supermassive Dead Universe

This article explores the dead universe theory as a novel interpretation for the origin and evolution of the universe, suggesting that our cosmos may have originated from the remnants of a preceding universe. This perspective challenges the conventional Big Bang theory, particularly concerning dark matter, the expansion of the universe, and the interpretation of phenomena such as gravitational waves.

Comparative study on phase transition behaviors of fractional molecular field theory and random-site Ising model

Fractional molecular field theory(FMFT)is a phenomenological theory that describes phase transitions in crystals with randomly distributed components,such as the relaxor-ferroelectrics and spin glasses.In order to verify the feasibility of this theory,this paper fits it to the Monte Carlo simulations of specific heat and susceptibility versus temperature of two-dimensional(2D)random-site Ising model(2D-RSIM).The results indicate that the FMFT deviates from the 2D-RSIM significantly.The main reason for the deviation is that the 2D-RSIM is a typical system of component random distribution,where the real order parameter is spatially heterogeneous and has no symmetry of space translation,but the basic assumption of FMFT means that the parameter is spatially uniform and has symmetry of space translation.

Corrigendum to“Atomic-scale electromagnetic theory bridging optics in microscopic world and macroscopic world”

The signs of the electric field markers in Figs.2 and 4 of the paper[Chin.Phys.B 32104211(2023)]have been corrected.These modifications do not affect the results derived in the paper.

Foundations of the Scale-Symmetric Theory and the Illusory Total Width of the Off-Shell Higgs Bosons

Here we present the foundations of the Scale-Symmetric Theory (SST), i.e. the fundamental phase transitions of the initial inflation field, the atom-like structure of baryons and different types of black holes. Within SST we show that the transition from the nuclear strong interactions in the off-shell Higgs boson production to the nuclear weak interactions causes that the real total width of the Higgs boson from the Higgs line shape (i.e. 3.3 GeV) decreases to 4.3 MeV that is the illusory total width. Moreover, there appear some glueballs/condensates with the energy 3.3 GeV that accompany the production of the off-shell Higgs bosons.

Distributed Matching Theory-Based Task Re-Allocating for Heterogeneous Multi-UAV Edge Computing

Many efforts have been devoted to efficient task scheduling in Multi-Unmanned Aerial Vehicle(UAV)edge computing.However,the heterogeneity of UAV computation resource,and the task re-allocating between UAVs have not been fully considered yet.Moreover,most existing works neglect the fact that a task can only be executed on the UAV equipped with its desired service function(SF).In this backdrop,this paper formulates the task scheduling problem as a multi-objective task scheduling problem,which aims at maximizing the task execution success ratio while minimizing the average weighted sum of all tasks’completion time and energy consumption.Optimizing three coupled goals in a realtime manner with the dynamic arrival of tasks hinders us from adopting existing methods,like machine learning-based solutions that require a long training time and tremendous pre-knowledge about the task arrival process,or heuristic-based ones that usually incur a long decision-making time.To tackle this problem in a distributed manner,we establish a matching theory framework,in which three conflicting goals are treated as the preferences of tasks,SFs and UAVs.Then,a Distributed Matching Theory-based Re-allocating(DiMaToRe)algorithm is put forward.We formally proved that a stable matching can be achieved by our proposal.Extensive simulation results show that Di Ma To Re algorithm outperforms benchmark algorithms under diverse parameter settings and has good robustness.

The Nature of Inertia Explained Using the Field Theory

Analysis of free fall and acceleration of the mass on the Earth shows that using abstract entities such as absolute space or inertial space to explain mass dynamics leads to the violation of the principle of action and reaction. Many scientists including Newton, Mach, and Einstein recognized that inertial force has no reaction that originates on mass. Einstein calls the lack of reaction to the inertial force a serious criticism of the space-time continuum concept. Presented is the hypothesis that the inertial force develops in an interaction of two masses via the force field. The inertial force created by such a field has reaction force. The dynamic gravitational field predicted is strong enough to be detected in the laboratory. This article describes the laboratory experiment which can prove or disprove the hypothesis of the dynamic gravitational field. The inertial force, calculated using the equation for the dynamic gravitational field, agrees with the behavior of inertial force observed in the experiments on the Earth. The movement of the planets in our solar system calculated using that equation is the same as that calculated using Newton’s method. The space properties calculated by the candidate equation explain the aberration of light and the results of light propagation experiments. The dynamic gravitational field can explain the discrepancy between the observed velocity of stars in the galaxy and those predicted by Newton’s theory of gravitation without the need for the dark matter hypothesis.