Ice-going ships play a crucial role in polar transportation and resource extraction.Different from the existing modeling approach which assumes that ships remain stationary,dynamic overset grid technology and DFBI(Dyn...Ice-going ships play a crucial role in polar transportation and resource extraction.Different from the existing modeling approach which assumes that ships remain stationary,dynamic overset grid technology and DFBI(Dynamic Fluid-Body Interaction)method are employed in this paper to enable the free-running motion of the ship in modeling.A numerical model capable of simulating a ship navigating through pack ice area is proposed,which uses Computational Fluid Dynamics(CFD)method to solve the flow field and applies the Discrete Element Method(DEM)to simulate ship-ice and ice-ice interactions.Besides,the proposed high-precision method for generating pack ice area can be used in conjunction with the proposed numerical model.By comparing the numerical results with the available model test data and experimental observations,the effectiveness of the numerical model is validated,demonstrating its strong capability of predicting resistance and simulating ship navigation in pack ice,as well as its significant potential and applicability for further studies.展开更多
Two-dimensional energetic materials(2DEMs),characterized by their exceptional interlayer sliding properties,are recognized as exemplar of low-sensitivity energetic materials.However,the diversity of available 2DEMs is...Two-dimensional energetic materials(2DEMs),characterized by their exceptional interlayer sliding properties,are recognized as exemplar of low-sensitivity energetic materials.However,the diversity of available 2DEMs is severely constrained by the absence of efficient methods for rapidly predicting crystal packing modes from molecular structures,impeding the high-throughput rational design of such materials.In this study,we employed quantified indicators,such as hydrogen bond dimension and maximum planar separation,to quickly screen 172DEM and 16 non-2DEM crystal structures from a crystal database.They were subsequently compared and analyzed,focusing on hydrogen bond donor-acceptor combinations,skeleton features,and intermolecular interactions.Our findings suggest that theπ-πpacking interaction energy is a key determinant in the formation of layered packing modes by planar energetic molecules,with its magnitude primarily influenced by the strongest dimericπ-πinteraction(π-π2max).Consequently,we have delineated a critical threshold forπ-π2max to discern layered packing modes and formulated a theoretical model for predictingπ-π2max,grounded in molecular electrostatic potential and dipole moment analysis.The predictive efficacy of this model was substantiated through external validation on a test set comprising 31 planar energetic molecular crystals,achieving an accuracy of 84%and a recall of 75%.Furthermore,the proposed model shows superior classification predictive performance compared to typical machine learning methods,such as random forest,on the external validation samples.This contribution introduces a novel methodology for the identification of crystal packing modes in 2DEMs,potentially accelerating the design and synthesis of high-energy,low-sensitivity 2DEMs.展开更多
New typical cross-flow Rotating Packed Bed(RPB)called multi-pulverizing RPB was manufactured.There is enough void in multi-pulverizing RPB,where liquid easily flows and is repeatedly pulverized by light packing,which ...New typical cross-flow Rotating Packed Bed(RPB)called multi-pulverizing RPB was manufactured.There is enough void in multi-pulverizing RPB,where liquid easily flows and is repeatedly pulverized by light packing,which decreases the material consumed,lightens the weight,and compacts the structure.Mass and heat transfer property in the new type PRB were studied by two experimental models.In the mass transfer model,the axial fan pumping gas press is only 100 Pa,mass transfer coefficient and volumetric mass transfer coefficient are similar to countercurrent RPB,which are an order quantity lager than that in the conventional packed tower.In the heat transfer experiment,the axial fan pumping gas press is only 120 Pa;volumetric heatwhich especially suits the treatment of large gas flow and lower gas pressure drop.展开更多
针对多目标狼群算法存在的搜索不充分、收敛性不足和多样性欠缺的问题,以及缺少对约束进行处理的问题,提出环境选择的双种群约束多目标狼群算法(multi-objective wolf pack algorithm for dual population constraints with environment...针对多目标狼群算法存在的搜索不充分、收敛性不足和多样性欠缺的问题,以及缺少对约束进行处理的问题,提出环境选择的双种群约束多目标狼群算法(multi-objective wolf pack algorithm for dual population constraints with environment selection,DCMOWPA-ES)。引入双种群约束处理方法给种群设置不同的搜索偏好,主种群运用可行性准则优先保留可行解,次种群通过ε约束探索不可行区域并将搜索结果传递给主种群,让算法能较好应对复杂的不可行区域,保障算法的可行性;提出维度选择的随机游走策略,使人工狼可自主选择游走方向,提高种群的全局搜索能力;设计精英学习的步长调整机制,人工狼通过向头狼学习的方式提升种群的局部搜索能力,确保算法的收敛性;采用环境选择的狼群更新策略,根据人工狼被支配的情况和所处位置的密度信息对其赋值,选择被支配数少且密度信息小的人工狼作为优秀个体,改善算法的多样性。为验证算法性能,将DCMOWPA-ES与六种新兴约束多目标优化算法在两组约束多目标测试集和汽车侧面碰撞设计问题上进行对比实验。实验结果表明,DCMOWPA-ES算法具备较好的可行性、收敛性和多样性。展开更多
通过自主搭建的石油焦颗粒堆积床导热性能测试实验装置开展了热态实验,探究了石油焦颗粒堆积床在不同粒度与升温速率下料层内外温度的变化规律。基于计算传热学原理,构建了圆柱管径向传热正问题模型,利用Levenberg-Marquardt算法反推导...通过自主搭建的石油焦颗粒堆积床导热性能测试实验装置开展了热态实验,探究了石油焦颗粒堆积床在不同粒度与升温速率下料层内外温度的变化规律。基于计算传热学原理,构建了圆柱管径向传热正问题模型,利用Levenberg-Marquardt算法反推导热系数,并与经典的等效导热系数模型(Bruggeman模型,Maxwell-Garnett模型,Kunii and Smith模型和Zehner-Bauer-Schlünder模型)进行了对比。结果表明,料层壁面与中心的温差随温度升高先增后减,随升温速率增大而增大,且随颗粒粒度减小而增加。基于导热反问题方法,获得了石油焦颗粒堆积床导热系数λ与温度T和等效粒径dp的数学关系式。引入等效粒度系数φ修正后的Kunii and Smith模型计算的导热系数及导热反问题求解的导热系数均与实验数据吻合度较高。研究成果可为罐式炉内石油焦堆积床传热行为的深入剖析提供重要的理论支撑。展开更多
在实际工作过程中,电动挖掘机所承受的载荷往往表现出显著的非平稳随机特性,导致电动挖掘机电池包振动现象十分复杂,从而直接影响电池包的安全、可靠运行。针对这一问题,探究了复杂工况下电动挖掘机所承受的路面激励、柱塞泵压力脉动激...在实际工作过程中,电动挖掘机所承受的载荷往往表现出显著的非平稳随机特性,导致电动挖掘机电池包振动现象十分复杂,从而直接影响电池包的安全、可靠运行。针对这一问题,探究了复杂工况下电动挖掘机所承受的路面激励、柱塞泵压力脉动激励和冲击激励特性,分析了各种激励下的振动传递路径,建立了电动挖掘机电池包的动力学模型,揭示了非平稳随机激励下电池包的振动特性,并通过实例进行了分析和验证。研究表明,基于小波变换及灰狼优化-变分模态分解(Grey Wolf Optimization-Variational Mode Decomposition,GWO-VMD)信号分析算法对路面激励信号进行重构,能够较好地反映路面激励特性;行驶工况下电动挖掘机所承受的路面激励具有显著的非平稳特性;在路面激励等非平稳随机激励作用下,电动挖掘机电池包产生复杂多变的振动,其动态响应的功率谱密度随时间变化显著,具有明显的非平稳随机特性。研究工作为电动挖掘机电池包的安全、可靠运行提供了一定的参考。展开更多
文摘Ice-going ships play a crucial role in polar transportation and resource extraction.Different from the existing modeling approach which assumes that ships remain stationary,dynamic overset grid technology and DFBI(Dynamic Fluid-Body Interaction)method are employed in this paper to enable the free-running motion of the ship in modeling.A numerical model capable of simulating a ship navigating through pack ice area is proposed,which uses Computational Fluid Dynamics(CFD)method to solve the flow field and applies the Discrete Element Method(DEM)to simulate ship-ice and ice-ice interactions.Besides,the proposed high-precision method for generating pack ice area can be used in conjunction with the proposed numerical model.By comparing the numerical results with the available model test data and experimental observations,the effectiveness of the numerical model is validated,demonstrating its strong capability of predicting resistance and simulating ship navigation in pack ice,as well as its significant potential and applicability for further studies.
基金support from National Natural Science Foundation of China(Grant Nos.22275145,22305189and 21875184)Natural Science Foundation of Shaanxi Province(Grant Nos.2022JC-10 and 2024JC-YBQN-0112).
文摘Two-dimensional energetic materials(2DEMs),characterized by their exceptional interlayer sliding properties,are recognized as exemplar of low-sensitivity energetic materials.However,the diversity of available 2DEMs is severely constrained by the absence of efficient methods for rapidly predicting crystal packing modes from molecular structures,impeding the high-throughput rational design of such materials.In this study,we employed quantified indicators,such as hydrogen bond dimension and maximum planar separation,to quickly screen 172DEM and 16 non-2DEM crystal structures from a crystal database.They were subsequently compared and analyzed,focusing on hydrogen bond donor-acceptor combinations,skeleton features,and intermolecular interactions.Our findings suggest that theπ-πpacking interaction energy is a key determinant in the formation of layered packing modes by planar energetic molecules,with its magnitude primarily influenced by the strongest dimericπ-πinteraction(π-π2max).Consequently,we have delineated a critical threshold forπ-π2max to discern layered packing modes and formulated a theoretical model for predictingπ-π2max,grounded in molecular electrostatic potential and dipole moment analysis.The predictive efficacy of this model was substantiated through external validation on a test set comprising 31 planar energetic molecular crystals,achieving an accuracy of 84%and a recall of 75%.Furthermore,the proposed model shows superior classification predictive performance compared to typical machine learning methods,such as random forest,on the external validation samples.This contribution introduces a novel methodology for the identification of crystal packing modes in 2DEMs,potentially accelerating the design and synthesis of high-energy,low-sensitivity 2DEMs.
文摘New typical cross-flow Rotating Packed Bed(RPB)called multi-pulverizing RPB was manufactured.There is enough void in multi-pulverizing RPB,where liquid easily flows and is repeatedly pulverized by light packing,which decreases the material consumed,lightens the weight,and compacts the structure.Mass and heat transfer property in the new type PRB were studied by two experimental models.In the mass transfer model,the axial fan pumping gas press is only 100 Pa,mass transfer coefficient and volumetric mass transfer coefficient are similar to countercurrent RPB,which are an order quantity lager than that in the conventional packed tower.In the heat transfer experiment,the axial fan pumping gas press is only 120 Pa;volumetric heatwhich especially suits the treatment of large gas flow and lower gas pressure drop.
文摘针对多目标狼群算法存在的搜索不充分、收敛性不足和多样性欠缺的问题,以及缺少对约束进行处理的问题,提出环境选择的双种群约束多目标狼群算法(multi-objective wolf pack algorithm for dual population constraints with environment selection,DCMOWPA-ES)。引入双种群约束处理方法给种群设置不同的搜索偏好,主种群运用可行性准则优先保留可行解,次种群通过ε约束探索不可行区域并将搜索结果传递给主种群,让算法能较好应对复杂的不可行区域,保障算法的可行性;提出维度选择的随机游走策略,使人工狼可自主选择游走方向,提高种群的全局搜索能力;设计精英学习的步长调整机制,人工狼通过向头狼学习的方式提升种群的局部搜索能力,确保算法的收敛性;采用环境选择的狼群更新策略,根据人工狼被支配的情况和所处位置的密度信息对其赋值,选择被支配数少且密度信息小的人工狼作为优秀个体,改善算法的多样性。为验证算法性能,将DCMOWPA-ES与六种新兴约束多目标优化算法在两组约束多目标测试集和汽车侧面碰撞设计问题上进行对比实验。实验结果表明,DCMOWPA-ES算法具备较好的可行性、收敛性和多样性。
文摘通过自主搭建的石油焦颗粒堆积床导热性能测试实验装置开展了热态实验,探究了石油焦颗粒堆积床在不同粒度与升温速率下料层内外温度的变化规律。基于计算传热学原理,构建了圆柱管径向传热正问题模型,利用Levenberg-Marquardt算法反推导热系数,并与经典的等效导热系数模型(Bruggeman模型,Maxwell-Garnett模型,Kunii and Smith模型和Zehner-Bauer-Schlünder模型)进行了对比。结果表明,料层壁面与中心的温差随温度升高先增后减,随升温速率增大而增大,且随颗粒粒度减小而增加。基于导热反问题方法,获得了石油焦颗粒堆积床导热系数λ与温度T和等效粒径dp的数学关系式。引入等效粒度系数φ修正后的Kunii and Smith模型计算的导热系数及导热反问题求解的导热系数均与实验数据吻合度较高。研究成果可为罐式炉内石油焦堆积床传热行为的深入剖析提供重要的理论支撑。
文摘在实际工作过程中,电动挖掘机所承受的载荷往往表现出显著的非平稳随机特性,导致电动挖掘机电池包振动现象十分复杂,从而直接影响电池包的安全、可靠运行。针对这一问题,探究了复杂工况下电动挖掘机所承受的路面激励、柱塞泵压力脉动激励和冲击激励特性,分析了各种激励下的振动传递路径,建立了电动挖掘机电池包的动力学模型,揭示了非平稳随机激励下电池包的振动特性,并通过实例进行了分析和验证。研究表明,基于小波变换及灰狼优化-变分模态分解(Grey Wolf Optimization-Variational Mode Decomposition,GWO-VMD)信号分析算法对路面激励信号进行重构,能够较好地反映路面激励特性;行驶工况下电动挖掘机所承受的路面激励具有显著的非平稳特性;在路面激励等非平稳随机激励作用下,电动挖掘机电池包产生复杂多变的振动,其动态响应的功率谱密度随时间变化显著,具有明显的非平稳随机特性。研究工作为电动挖掘机电池包的安全、可靠运行提供了一定的参考。
