Set methods of left-turn waiting zone at signalized intersection

To maximize the number of vehicles passing by the stop-line in a cycle and improve the operation efficiency of intersection in China,the settlement of left-turn lane waiting-zone is becoming prevailing. Based on conflicting-point method,the internal mechanism of left-turn flow after stopping line was analyzed through taking postposition left-turn lane waiting-zone intersection for instance. The relationship between the first left-turn vehicle and the last vehicle of previous phase passing the conflicting point was expounded. According to the time of successive arriving of two vehicle flows at conflicting-point,the reasonable layout for waiting area of left-turn vehicles was researched when the clearance index was less than 0. The results suggest that the appropriate layout for waiting area of left-turning vehicles can improve the operation efficiency of intersections.     

大体积混凝土温升与强度增长的试验研究

针对大体积混凝土结构构件实体强度与普通标准养护试块强度发展规律间的差别等问题,通过研究实际工程尺寸试件温度场的分布和实验室混凝土变温养护试验,以不同养护制度下的试块强度得出了大体积混凝土结构实体强度的发展规律,为工程施工提供了依据,成功地解决了工期与质量的矛盾,取得了较好的技术经济效果.     

3种花卉在山区及平原越夏的效果评价

通过对金宝剑（Vrieseamarjolcin）、安祖花（Anthuriumandraeanum）和一品红（Euphorbiapulcherrima）3种花卉在萧山区海拔500m山区越夏与海拔9m平原越夏的比较试验,结果显示：山区越夏后,金宝剑的叶片数、叶片长度、叶宽、株高和冠径分别比平原越夏后增长了6．9％,28．6％,7．1％,7．5％和9．7％,叶色较深,生长好又快;安祖花的植株高,花蕾多,叶片深绿、有光泽,其平均株高和单株花蕾数分别比平原越夏后高3．2cm和多0．8个;一品红的平均株高55．8cm,每株最大苞片平均7．8cm,且完全转红,达到市场销售的要求,而平原越夏后则出现下部叶片掉落的现象（平均株高57．1cm,每株最大苞片平均7．2cm）,不完全转红,不能形成成品,达不到市场销售的要求。表明这三种花卉在山区越夏的生长情况都要好于平原越夏。     

某厂区重交通水泥混凝土路面病害成因分析及治理

针对目前某工厂主厂道由于受到重交通作用而造成水泥混凝土路面损坏严重的现状,笔者先从水泥混凝土路面主要病害的种类及其产生的原因着手加以分析,进而对在旧路面上半直接式加铺水泥混凝土和钢纤维水泥混凝施工技术进行了介绍和总结.     

FEM analyses for influences of stress corrosion and pressure solution on THM coupling in dual-porosity rock mass

With the models of stress corrosion and pressure solution, by Yasuhara et al., two computation conditions were designed for a hypothetical nuclear waste repository in an unsaturated dual-porosity rock mass: (i) the fracture apertures are changed with the stress corrosion and pressure solution (the porosity of rock matrix is also a function of stress); (ii) the fracture apertures and the porosity of rock matrix are constants. Then the corresponding two-dimensional FEM analyses for the coupled thermohydro-mec...     

声参数的高性能混凝土强度推定模型

为研究高性能混凝土的声波传播特性及实现其强度的快速、准确、无损检测,基于超声波检测方法,应用嫩江、多宝山附近的沙石料,对高性能混凝土对声波的扩散性及其抗压性能与声参量之间的模型关系进行了研究.建立了高性能混凝土抗压强度与声速之间的多种数学模型.通过实测检测数据进行验证,满足精度要求.高性能混凝土的非均质性降低,其抗压强度与声速相关性较好,用超声的方法完全可以实现强度的快速推定.同时,也为将来高性能混凝土地区强度推定曲线的建立奠定了研究基础.     

基于 ROS 改进算法的无线传感器网络耗能研究

成对广播同步（PBS）是无线传感器网络同步研究的重要协议。无线传感器节点具有体积受限、通信能力有限、存储空间较低、能量有限等特点,对传统的时钟同步协议改进是非常有必要的。因此,研究无线传感器网络的时钟同步算法将具有重要的意义。文章建立在仅接收端（ROS）同步基础上实现范围广阔的网络同步,并且能够在无线传感器网络节点的能耗方向有着不可忽视的作用。通过对单簇网络同步的研究,提出多簇网络同步并对多簇网络同步在无线传感器网络同步中全网成对选择算法（NPA）和基于组的成对选择算法（GPA）做出研究,并且做出了仿真对比。结果显示：在传感器节点数目较少的情况下,NPA 算法与 GPA算法处理消息包数目的性能几乎相同;在网络中传感器节点数目比较多的情况下,GPA 算法明显优于 NPA 算法,信息处理过程中大大减少了消息包数目。最后,对广播同步技术在应用中所出现的问题,提出了基于此算法的新的研究方向。     

An integrated emotional and physiological assessment for VR-based active shooter incident experiments

Unfortunately, active shooter incidents are on the rise in the United States. With the recent technological advancements, virtual reality (VR) experiments could serve as an effective method to prepare civilians and law enforcement personnel for such scenarios. However, for VR experiments to be effective for active shooter training and research, such experiments must be able to evoke emotional and physiological responses as live active shooter drills and events do. The objective of this study is thus to test the effectiveness of an active shooter VR experiment on emotional and physiological responses. Additionally, we consider different locomotion techniques (i.e., walk-in-place and controller) and explore their impact on users’ sense of presence. The results suggest that the VR active shooter experiment in this study can induce emotional arousal and increase heart rate of the participants immersed in the virtual environment. Furthermore, compared to the controller, the walk-in-place technique resulted in a higher emotional arousal in terms of negative emotions and a stronger sense of presence. The study presents a foundation for future active shooter experiments as it supports the ecological validity using VR for active shooter incident related work for the purposes of training or research.     

Evolutionary digital twin: A new approach for intelligent industrial product development

To fulfill increasingly difficult and demanding tasks in the ever-changing complex world, intelligent industrial products are to be developed with higher flexibility and adaptability. Digital twin (DT) brings about a possible means, due to its ability to provide candidate behavior adjustments based on received “feedbacks” from its physical part. However, such candidate adjustments are deterministic, and thus lack of flexibility and adaptability. To address such problem, in this paper an extended concept – evolutionary digital twin (EDT) and an EDT-based new mode for intelligent industrial product development has been proposed. With our proposed EDT, a more precise approximated model of the physical world could be established through supervised learning, based on which the collaborative exploration for optimal policies via parallel simulation in multiple cyberspaces could be performed through reinforcement learning. Hence, more flexibility and adaptability could be brought to industrial products through machine learning (such as supervised learning and reinforcement learning) based self-evolution. As a primary verification of the effectiveness of our proposed approach, a case study has been carried out. The experimental results have well confirmed the effectiveness of our EDT based development mode.     

The impact of CCT on driving safety in the normal and accident situation: A VR-based experimental study

Correlated color temperature (CCT) of the light source inside the road tunnel plays a crucial role in ensuring driving safety, which is demonstrated by previous studies that CCT influences not only visual effects but also non-visual effects. Although conventional laboratory experiments could simulate the CCT environment inside the tunnel to some extent, they fail to restore driving experience, let alone simulate driving behavior in the accident situation. It has largely remained unclear whether and how CCT would influence visual/non-visual performance of the subjects who are performing driving tasks, especially in the accident situation. Motivated by this gap, a virtual-reality-based framework for assessing the influence of CCT on the visual and non/visual performance in normal driving situation and in accident situation was proposed. In this study, tunnel models under seven different CCTs were created and a rear-end accident was designed in the tunnel. By integrating analog driving equipment, all participants were required to perform virtual driving tasks both in the normal situation and in the accident situation. The non-visual performance (driving fatigue) and the visual performance (reaction time) of the participants were collected and analyzed. Results show that the CCT of light source inside the tunnel was significant on the driving fatigue of the driver who was performing driving task, and it also had a significant impact on the visual performance when the driver was faced with a rear-end accident. Detailed experimental methodology, behavioral explanations underlying these findings, validity of results and practical implications are also discussed in the paper.