基于DEMATEL方法的海运行为形成因子影响关系分析

为揭示并量化海运人因可靠性分析(HRA)中行为形成因子(PSF)间复杂的影响关系,采用DEMATEL方法对航海人员值班任务中9个PSF的依赖关系进行建模和分析,并验证该方法的有效性。结果表明:船上组织的完善程度、驾驶台班组成员的合作质量、可用时间等PSF在系统中的作用大;船上组织的完善程度、人机界面(MMI)与运行支持的完善性、值班区间以及培训和准备的充分性4个PSF为原因因素,驾驶台班组成员的合作质量、同时出现的目标任务数量、可用时间、船上工作及船舶航行条件和操作规程/计划的可用性5个PSF为结果因素。安全管理人员应针对作用大或原因因素中的PSF制定安全管理措施,改善情景环境,提高人因可靠性。     

单元板式轨道扣件刚度突变对行车安全性的影响分析

为研究单元板式无砟轨道扣件刚度整体及局部突变对行车安全的影响,指导扣件系统的养护维修,利用有限元方法和轮轨耦合系统动力学原理,建立车辆-轨道-路基系统垂向耦合动力学模型。研究扣件系统整体刚度突变和局部刚度突变对列车的振动特性和轮轨垂向作用力的影响规律。结果表明:扣件刚度从20 kN/mm增加到80 kN/mm时,轮对和转向架的振动加速度分别增加40.1%和28.2%,轮轨垂向力增加28.4%,车体变化不大;当局部扣件刚度突变时,车体、轮对、转向架的振动加速度和轮轨垂向力均较基本刚度(50 kN/mm)有所增大。扣件刚度整体突变以及局部突变均会对列车振动特性和轮轨垂向作用力产生不利的影响,建议及时对扣件系统进行养护检修,以保证行车的平稳性和安全性。     

TA-FTIR/MS用于硝酸铵及其混合物的热化学行为研究

为评价物料混合对危险化学品热化学行为的影响,采用热分析-红外/质谱联用技术(TA-FTIR/MS)研究硝酸铵、柠檬酸和蔗糖的混合物的热化学行为。通过对硝酸铵及其混合物的分解温度和分解过程中逸出气体的分析,发现硝酸铵、柠檬酸和蔗糖的混合物热分解温度分别降低至135℃和153℃,而硝酸铵与甲基纤维素的混合物分解温度与硝酸铵基本相同为201℃,且各混合体系的气相分解产物均有氮氧化物(NOX),H2O和CO2。结果表明,混合物受热后其中的硝酸铵首先分解为硝酸和氨气;酸性物质和还原性物质由于对硝酸的分解反应有催化作用,使得混合物的热稳定性下降。     

干燥条件下高硫煤低温氧化特性研究

为进一步揭示不同环境条件下高硫煤的低温氧化特性,选取含硫量较低、自燃倾向性较高的褐煤,向其添加不同比例的FeS2,配制成含量分别为3%,5%,7%的混合高硫煤样,利用中国矿业大学自行研制的煤氧化模拟试验系统,测试分析干燥混合煤样在低温氧化过程中,交叉温度和指标气体CO产生量体积的变化。试验结果表明,在低温干燥的条件下,随着FeS2含量的增加,煤样的氧化特性受到抑制:交叉点温度升高;指标气体CO产生量在相同温度时体积降低。因此,在高硫煤层自燃火灾防治过程中,应尽量控制煤层周围环境的干燥度。     

钻屑法测定煤层H_2S含量

为了测定煤层硫化氢(H2S)含量,防治矿井H2S涌出,提出一种通过钻屑法测定煤层H2S含量的方法。在未受采动影响的新鲜煤壁,采用钻屑法取样,通过测定煤样H2S解吸量、取样过程损失量和H2S残存量确定煤层H2S含量。根据溶于水中H2S的p H值和色谱分析解吸气体中H2S体积分数,确定H2S解吸量;根据煤样解吸规律和气样H2S体积分数,确定H2S损失量;根据色谱分析残存气体中H2S体积分数,确定其残存量。用此方法,对山西某矿H2S涌出煤层进行现场和实验室测定。研究表明,该矿H2S含量为(4.465~6.701)×10-3m3/t。钻屑法测定煤层H2S含量是可行的,可以为矿井H2S治理提供基础数据。     

高瓦斯工作面隅角柔性气囊安全封堵研究

为解决高瓦斯工作面隅角封堵工人劳动强度大、效率低,封堵效果不佳易造成隅角瓦斯浓度超限等安全问题,研发设计了矿用阻燃内外胆组合结构的轻型柔性隅角封堵气囊,并相应提出了单体液压支柱配合轻型柔性气囊的隅角封堵新方法。通过实验室测试实验和现场工业性试验表明:选用PVC材料和双抗涂覆布材料的气囊质量小、轻便实用,大幅降低了工人的劳动强度,提高了工作效率,减小了传统封堵方式编织袋装碎煤造成的遗煤浪费;该气囊可适应大变形(变形率可达42.5%)、耐冲击(2×104J的冲击能量不破坏),抗撕扯能力强,且具有阻燃特性,重复使用率高,大大节约了隅角封堵的成本;使用气囊封堵后,采空区内瓦斯浓度显著增大,说明气囊封堵的密闭性增加,安全封堵效果十分明显。     

Performance-based earthquake evaluation of a full-scale petrochemical piping system

Assessment of seismic vulnerability of industrial petrochemical and oil & gas piping systems can be performed, beyond analytical tools, through experimental testing as well. Along this line, this paper describes an experimental test campaign carried out on a full-scale piping system in order to assess its seismic behaviour. In particular, a typical industrial piping system, containing several critical components, such as elbows, a bolted flange joint and a Tee joint, was tested under different levels of realistic earthquake loading. They corresponded to serviceability and ultimate limit states for support structures as suggested by modern performance-based earthquake engineering standards. The so called hybrid simulation techniques namely, pseudo-dynamic and real time testing with dynamic substructuring, were adopted to perform seismic tests. Experimental results displayed a favourable performance of the piping system and its components; they remained below their yielding, allowable stress and allowable strain limits without any leakage even at the Near Collapse Limit State condition for the support structure. Moreover, the favourable comparison between experimental and numerical results, proved the validity of the proposed hybrid techniques alternative to shaking table tests.     

E-bikers’ braking behavior: Results from a naturalistic cycling study

Abstract

Objective: The number of e-bike users has increased significantly over the past few years and with it the associated safety concerns. Because e-bikes are faster than conventional bicycles and more prone to be in conflict with road users, e-bikers may need to perform avoidance maneuvers more frequently. Braking is the most common avoidance maneuver but is also a complex and critical task in emergency situations, because cyclists must reduce speed quickly without losing balance. The aim of this study is to understand the braking strategies of e-bikers in real-world traffic environments and to assess their road safety implications. This article investigates (1) how cyclists on e-bikes use front and rear brakes during routine cycling and (2) whether this behavior changes during unexpected conflicts with other road users.

Methods: Naturalistic data were collected from 6 regular bicycle riders who each rode e-bikes during a period of 2 weeks, for a total of 32.5?h of data. Braking events were identified and characterized through a combined analysis of brake pressure at each wheel, velocity, and longitudinal acceleration. Furthermore, the braking patterns obtained during unexpected events were compared with braking patterns during routine cycling.

Results: In the majority of braking events during routine cycling, cyclists used only one brake at a time, favoring one of the 2 brakes according to a personal pre-established pattern. However, the favored brake varied among cyclists: 66% favored the rear brake and 16% the front brake. Only 16% of the cyclists showed no clear preference, variously using rear brake, front brake, or combined braking (both brakes at the same time), suggesting that the selection of which brake to use depended on the characteristics of the specific scenario experienced by the cyclist rather than on a personal preference. In unexpected conflicts, generally requiring a larger deceleration, combined braking became more prevalent for most of the cyclists; still, when combined braking was not applied, cyclists continued to use the favored brake of routine cycling. Kinematic analysis revealed that, when larger decelerations were required, cyclists more frequently used combined braking instead of single braking.

Conclusions: The results provide new insights into the behavior of cyclists on e-bikes and may provide support in the development of safety measures including guidelines and best practices for optimal brake use. The results may also inform the design of braking systems intended to reduce the complexity of the braking operation.     

飞行员人因可靠性定量预测

为有效预测飞行员的人因可靠性,以保障飞行安全,基于认知可靠性与失误分析法(CREAM)的扩展法,建立飞行员人因可靠性定量预测模型。依据飞行员的任务特点,调整认知行为及认知功能。通过优化共同绩效条件(CPC)因子水平等级,并增加新的因子,改进CPC因子依赖规则,用于修正因子的初始评估结果,解决扩展法未考虑因子间关系的问题,从而完成模型的建立。利用回看分析法验证模型的有效性,采用所建立的模型和扩展法分别对已发生的飞行案例进行预测,并与实际发生结果对比分析。结果表明,与扩展法相比,采用飞行员定量预测模型得到的预测结果与案例发生结果所反映的控制模式更为匹配。     

Driver’s mental workload prediction model based on physiological indices

Developing an early warning model to predict the driver’s mental workload (MWL) is critical and helpful, especially for new or less experienced drivers. The present study aims to investigate the correlation between new drivers’ MWL and their work performance, regarding the number of errors. Additionally, the group method of data handling is used to establish the driver’s MWL predictive model based on subjective rating (NASA task load index [NASA-TLX]) and six physiological indices. The results indicate that the NASA-TLX and the number of errors are positively correlated, and the predictive model shows the validity of the proposed model with an R² value of 0.745. The proposed model is expected to provide a reference value for the new drivers of their MWL by providing the physiological indices, and the driving lesson plans can be proposed to sustain an appropriate MWL as well as improve the driver’s work performance.