This is a very timely review of body armour materials and systems since new test standards are currently being written, or reviewed, and new, innovative products released. Of greatest importance, however, is the recen...This is a very timely review of body armour materials and systems since new test standards are currently being written, or reviewed, and new, innovative products released. Of greatest importance, however, is the recent evolution, and maturity, of the Ultra High Molecular Weight Polyethylene fibres enabling a completely new style of system to evolve e a stackable system of Hard Armour Plates. The science of body armour materials is quickly reviewed with emphasis upon current understanding of relevant energy-absorbing mechanisms in fibres, fabrics, polymeric laminates and ceramics. The trend in ongoing developments in ballistic fibres is then reviewed, analysed and future projections offered. Weaknesses in some of the ceramic grades are highlighted as is the value of using cladding materials to improve the robustness, and multi-strike performance, of Hard Armour Plates. Finally, with the drive for lighter, and therefore smaller, soft armour systems for military personnel the challenges for armour designers are reported, and the importance of the relative size of the Hard Armour Plate to the Soft Armour Insert is strongly emphasised.展开更多
由于汽车正面小偏置碰撞交通事故中乘客座位人员伤亡依然严重,美国高速公路安全保险协会(Insurance Institute for Highway Safety,IIHS)于2016年修订了小偏置试验规程,增加了乘员侧(右侧)碰撞试验内容。对IIHS左侧和右侧正面小偏置碰...由于汽车正面小偏置碰撞交通事故中乘客座位人员伤亡依然严重,美国高速公路安全保险协会(Insurance Institute for Highway Safety,IIHS)于2016年修订了小偏置试验规程,增加了乘员侧(右侧)碰撞试验内容。对IIHS左侧和右侧正面小偏置碰撞试验及评价方法进行研究,选取IIHS左侧和右侧小偏置碰撞试验车型,分别从车体结构、假人伤害、约束系统与假人运动三个方面进行结果对比分析,并初步探讨应对左侧和右侧正面小偏置碰撞的措施。研究表明,约束系统在车辆碰撞过程中对保护假人及降低假人伤害方面起到了重要作用,加强车辆结构的完整性可进一步降低驾乘人员的受伤风险。展开更多
A large database is desired for machine learning(ML) technology to make accurate predictions of materials physicochemical properties based on their molecular structure.When a large database is not available,the develo...A large database is desired for machine learning(ML) technology to make accurate predictions of materials physicochemical properties based on their molecular structure.When a large database is not available,the development of proper featurization method based on physicochemical nature of target proprieties can improve the predictive power of ML models with a smaller database.In this work,we show that two new featurization methods,volume occupation spatial matrix and heat contribution spatial matrix,can improve the accuracy in predicting energetic materials' crystal density(ρ_(crystal)) and solid phase enthalpy of formation(H_(f,solid)) using a database containing 451 energetic molecules.Their mean absolute errors are reduced from 0.048 g/cm~3 and 24.67 kcal/mol to 0.035 g/cm~3 and 9.66 kcal/mol,respectively.By leave-one-out-cross-validation,the newly developed ML models can be used to determine the performance of most kinds of energetic materials except cubanes.Our ML models are applied to predict ρ_(crystal) and H_(f,solid) of CHON-based molecules of the 150 million sized PubChem database,and screened out 56 candidates with competitive detonation performance and reasonable chemical structures.With further improvement in future,spatial matrices have the potential of becoming multifunctional ML simulation tools that could provide even better predictions in wider fields of materials science.展开更多
Small bodies in the solar system are known to be covered by a layer of loose unconsolidated soil composed of grains ranging from dusty sands to rugged boulders.Various geophysical processes have modified these regolit...Small bodies in the solar system are known to be covered by a layer of loose unconsolidated soil composed of grains ranging from dusty sands to rugged boulders.Various geophysical processes have modified these regolith layers since their origin.Therefore,the landforms on regolith-blanketed surfaces hold vital clues for reconstructing the geological processes occurring on small bodies.However,the mechanical strength of small body regolith remains unclear,which is an important parameter for understanding its dynamic evolution.Furthermore,regolith mechanical properties are key factors for the design and operation of space missions that interact with small body surfaces.The granular penetrometer,which is an instrument that facilitates in situ mechanical characterization of surface/subsurface materials,has attracted significant attention.However,we still do not fully understand the penetration dynamics related to granular regolith,partially because of the experimental difficulties in measuring grain-scale responses under microgravity,particularly on the longer timescales of small body dynamics.In this study,we analyzed the slow intrusion ofa locomotor into granular matter through large-scale numerical simulations based on a soft sphere discrete element model.We demonstrated that the resistance force of cohesionlessregolith increases abruptly with penetration depth after contact and then transitions to a linear regime.The scale factor of the steady-state component is roughly proportionalto the internal friction of the granular materials,which allows us to deduce the shearstrength of planetary soils by measuring their force depth relationships.When cohesion is included,due to the brittle behavior of cohesive materials,the resistance profile is characterized by a stationary state at a large penetration depth.The saturation resistance,which represents the failure threshold of granular materials,increases with the cohesion strength of the regolith.This positive correlation provides a reliable tool for measuring the tensile展开更多
文摘This is a very timely review of body armour materials and systems since new test standards are currently being written, or reviewed, and new, innovative products released. Of greatest importance, however, is the recent evolution, and maturity, of the Ultra High Molecular Weight Polyethylene fibres enabling a completely new style of system to evolve e a stackable system of Hard Armour Plates. The science of body armour materials is quickly reviewed with emphasis upon current understanding of relevant energy-absorbing mechanisms in fibres, fabrics, polymeric laminates and ceramics. The trend in ongoing developments in ballistic fibres is then reviewed, analysed and future projections offered. Weaknesses in some of the ceramic grades are highlighted as is the value of using cladding materials to improve the robustness, and multi-strike performance, of Hard Armour Plates. Finally, with the drive for lighter, and therefore smaller, soft armour systems for military personnel the challenges for armour designers are reported, and the importance of the relative size of the Hard Armour Plate to the Soft Armour Insert is strongly emphasised.
文摘由于汽车正面小偏置碰撞交通事故中乘客座位人员伤亡依然严重,美国高速公路安全保险协会(Insurance Institute for Highway Safety,IIHS)于2016年修订了小偏置试验规程,增加了乘员侧(右侧)碰撞试验内容。对IIHS左侧和右侧正面小偏置碰撞试验及评价方法进行研究,选取IIHS左侧和右侧小偏置碰撞试验车型,分别从车体结构、假人伤害、约束系统与假人运动三个方面进行结果对比分析,并初步探讨应对左侧和右侧正面小偏置碰撞的措施。研究表明,约束系统在车辆碰撞过程中对保护假人及降低假人伤害方面起到了重要作用,加强车辆结构的完整性可进一步降低驾乘人员的受伤风险。
基金support from the Ministry of Education(MOE) Singapore Tier 1 (RG8/20)。
文摘A large database is desired for machine learning(ML) technology to make accurate predictions of materials physicochemical properties based on their molecular structure.When a large database is not available,the development of proper featurization method based on physicochemical nature of target proprieties can improve the predictive power of ML models with a smaller database.In this work,we show that two new featurization methods,volume occupation spatial matrix and heat contribution spatial matrix,can improve the accuracy in predicting energetic materials' crystal density(ρ_(crystal)) and solid phase enthalpy of formation(H_(f,solid)) using a database containing 451 energetic molecules.Their mean absolute errors are reduced from 0.048 g/cm~3 and 24.67 kcal/mol to 0.035 g/cm~3 and 9.66 kcal/mol,respectively.By leave-one-out-cross-validation,the newly developed ML models can be used to determine the performance of most kinds of energetic materials except cubanes.Our ML models are applied to predict ρ_(crystal) and H_(f,solid) of CHON-based molecules of the 150 million sized PubChem database,and screened out 56 candidates with competitive detonation performance and reasonable chemical structures.With further improvement in future,spatial matrices have the potential of becoming multifunctional ML simulation tools that could provide even better predictions in wider fields of materials science.
基金supported by the National Key R&D Program of China(2019YFA0706500)。
文摘Small bodies in the solar system are known to be covered by a layer of loose unconsolidated soil composed of grains ranging from dusty sands to rugged boulders.Various geophysical processes have modified these regolith layers since their origin.Therefore,the landforms on regolith-blanketed surfaces hold vital clues for reconstructing the geological processes occurring on small bodies.However,the mechanical strength of small body regolith remains unclear,which is an important parameter for understanding its dynamic evolution.Furthermore,regolith mechanical properties are key factors for the design and operation of space missions that interact with small body surfaces.The granular penetrometer,which is an instrument that facilitates in situ mechanical characterization of surface/subsurface materials,has attracted significant attention.However,we still do not fully understand the penetration dynamics related to granular regolith,partially because of the experimental difficulties in measuring grain-scale responses under microgravity,particularly on the longer timescales of small body dynamics.In this study,we analyzed the slow intrusion ofa locomotor into granular matter through large-scale numerical simulations based on a soft sphere discrete element model.We demonstrated that the resistance force of cohesionlessregolith increases abruptly with penetration depth after contact and then transitions to a linear regime.The scale factor of the steady-state component is roughly proportionalto the internal friction of the granular materials,which allows us to deduce the shearstrength of planetary soils by measuring their force depth relationships.When cohesion is included,due to the brittle behavior of cohesive materials,the resistance profile is characterized by a stationary state at a large penetration depth.The saturation resistance,which represents the failure threshold of granular materials,increases with the cohesion strength of the regolith.This positive correlation provides a reliable tool for measuring the tensile
