An investigation on the strain accumulation of the lightly EICP-cemented sands under cyclic traffic loads

Industrial production of chemical cement leads to extreme emissions of greenhouse gases.Biological or bioinspired sustainable materials for soil treatment projects can be employed instead of chemical cement to heal the carbon cycle in the ecosystem.The enzyme-induced calcite precipitation(EICP)method is one of the novel bio-inspired technologies that can be employed in soil treatment projects to increase desired properties of soils.While the monotonic and cyclic behavior of the enzymatically treated sands has been investigated comprehensively,the strain accumulation pattern in these improved soils under cyclic traffic loads has not been evaluated yet.In this paper,confined and unconfined cyclic compression tests are applied to the enzymatically lightly cemented sands,and the effects of the different parameters on their strain accumulation pattern are investigated for the first time in the literature.This study uses two types of specimens with unconfined compression strengths(UCS)equal to 42 kPa and 266 kPa.It is shown that the treated specimens have a rate-dependent behavior where cyclic loads with low frequencies lead to more resilient and plastic strains in the specimens.The results show that by approaching the maximum applied stresses to the UCS of the specimens(by breaking more calcite bonds between sand particles),the rate dependency behavior of specimens will reduce.Investigation of the effects of the cementation level demonstrated that by increasing the amount of the precipitated calcite from 0.38%to 0.83%,accumulated plastic strains are reduced almost 95%under the same loading condition.Effects of the initial static loads,confining pressures,the number of cycles,and amplitudes of the cyclic loads are also evaluated.

Experimental research on the development of residual strain in seasonal frozen soil under freezing-thawing and impact type traffic loads

Vehicle load is among the main factors affecting the deformation of subgrade soil.In this research study,the concept of impact type traffic load is introduced to investigate the effects of vehicle load based on the dynamic stress and displacement time histories acquired from seasonal frozen subgrade soils.Using freezing-thawing and dynamic triaxial tests and considering the amplitude and loading sequence of impact type traffic load,the residual deformation characteristics of subgrade soil under impact type traffic loads and freezing-thawing cycles is studied.It was found that under impact type traffic load,the residual deformation of soils increased sharply as the amplitude of impact type traffic load increased.It was also found that the increase in the amplitude of impact type traffic load led to the increase of residual deformation in a scale of power and exponential function.The amplitudes of impact type traffic load affect the development stress-strain path of the residual strain.After the soil experienced the proper amount of pre-vibration of the light load,residual deformation decreased by 15%.After freezing-thawing,the residual strain of soil increased as the amplitude of the impact type traffic loads increased.Also,when the amplification effect of freezing-thawing on the residual strain was basically stable,the residual deformation increased by about 10%.The peak impact type traffic load had a large effect on soil deformation after the freezing-thawing process,leading to the observation that of the earlier the peaks,the stronger the effect of freezing-thawing.After the soil was subjected to preloading with a small load,the influence of the freezing-thawing cycles gradually stabilized.The results may be useful in preventing and controlling the risk of subgrade soil failure when construction takes place spring thaw periods.

Energy-balanced clustering protocol for data gathering in wireless sensor networks with unbalanced traffic load

Energy-efficient data gathering in multi-hop wireless sensor networks was studied,considering that different node produces different amounts of data in realistic environments.A novel dominating set based clustering protocol (DSCP) was proposed to solve the data gathering problem in this scenario.In DSCP,a node evaluates the potential lifetime of the network (from its local point of view) assuming that it acts as the cluster head,and claims to be a tentative cluster head if it maximizes the potential lifetime.When evaluating the potential lifetime of the network,a node considers not only its remaining energy,but also other factors including its traffic load,the number of its neighbors,and the traffic loads of its neighbors.A tentative cluster head becomes a final cluster head with a probability inversely proportional to the number of tentative cluster heads that cover its neighbors.The protocol can terminate in O(n/lg n) steps,and its total message complexity is O(n2/lg n).Simulation results show that DSCP can effectively prolong the lifetime of the network in multi-hop networks with unbalanced traffic load.Compared with EECT,the network lifetime is prolonged by 56.6% in average.

Lower Bound on de Bruijn Graphs Out-degree for Lower Traffic Load in Peer-to-peer Networks

Designers search for N-nodes peer-to-peer networks that can have O （1） out-degree with O （log2 N） average distance. Peer-to-peer schemes based on de Bruijn graphs are found to meet this requirement. By defining average load to evaluate the traffic load in a network, we show that in order to decrease the average load, the average distance of a network should decrease while the out-degree should increase. Especially, given out-degree k and N nodes, peer-to-peer schemes based on de Bruijn graphs have lower average load than other existing systems. The out-degree k of de Bruijn graphs should not be O（1） but should satisfy a lower bound described by an inequality κ^κ≥N^2, to ensure that the average load in peer-to-peer schemes based on de Bruijn graphs will not exceed that in Chord system.

Influence of erosion voids and traffic loads on buried large-diameter reinforced concrete pipes

Geotechnical centrifuge tests were conducted to examine the influence of invert voids and surface traffic loads on 1400 mm diameter reinforced concrete pipes buried with a shallow soil cover depth of 700 mm.Void formation beneath the pipe was simulated during centrifuge testing.The test results revealed that before void formation,the surface load directly above the middle of the pipe caused a significant increase in not only the circumferential bending moments but also the longitudinal bending moments,the latter of which was considerable and could not be ignored.Void formation beneath the middle of the pipe led to a reduction in both the circumferential bending moments and longitudinal bending moments at all measuring positions,i.e.,crown,springline,and invert.The most significant reduction occurred at the invert,and there was even a reversal in the sign of the invert longitudinal bending moment.A comparison was made between centrifuge tests with erosion voids and surface loads at different horizontal positions,which had a marked influence even when the positions differed by half a pipe length.Joint rotation played an important role in relieving large bending moments of pipe barrels in a jointed pipeline when the void and surface load were located at the joint.

A Traffic-Aware and Cluster-Based Energy Efficient Routing Protocol for IoT-Assisted WSNs

The seamless integration of intelligent Internet of Things devices with conventional wireless sensor networks has revolutionized data communication for different applications,such as remote health monitoring,industrial monitoring,transportation,and smart agriculture.Efficient and reliable data routing is one of the major challenges in the Internet of Things network due to the heterogeneity of nodes.This paper presents a traffic-aware,cluster-based,and energy-efficient routing protocol that employs traffic-aware and cluster-based techniques to improve the data delivery in such networks.The proposed protocol divides the network into clusters where optimal cluster heads are selected among super and normal nodes based on their residual energies.The protocol considers multi-criteria attributes,i.e.,energy,traffic load,and distance parameters to select the next hop for data delivery towards the base station.The performance of the proposed protocol is evaluated through the network simulator NS3.40.For different traffic rates,number of nodes,and different packet sizes,the proposed protocol outperformed LoRaWAN in terms of end-to-end packet delivery ratio,energy consumption,end-to-end delay,and network lifetime.For 100 nodes,the proposed protocol achieved a 13%improvement in packet delivery ratio,10 ms improvement in delay,and 10 mJ improvement in average energy consumption over LoRaWAN.

Review of Load Balancing Mechanisms in SDN-Based Data Centers

With the continuous expansion of the data center network scale, changing network requirements, and increasing pressure on network bandwidth, the traditional network architecture can no longer meet people’s needs. The development of software defined networks has brought new opportunities and challenges to future networks. The data and control separation characteristics of SDN improve the performance of the entire network. Researchers have integrated SDN architecture into data centers to improve network resource utilization and performance. This paper first introduces the basic concepts of SDN and data center networks. Then it discusses SDN-based load balancing mechanisms for data centers from different perspectives. Finally, it summarizes and looks forward to the study on SDN-based load balancing mechanisms and its development trend.

Application of semi-analytical finite element method to analyze asphalt pavement response under heavy traffic loads

Accurate assessment of the impact of heavy traffic loads on asphalt pavements requires a computational model which is able to calculate the response of the pavement fast and precisely. Currently the most finite element analysis programs based on traditional methods have various limitations. A specific program SAFEM was developed based on a semi-analytical finite element method to overcome the problems. It is a three-dimensional FE program that requires only a two-dimensional mesh by incorporating the semi- analytical method using Fourier series in the third dimension. The computational accuracy and efficiency of the program was verified by analytical verification previously. The experimental verification is carried out in this paper and the results show that the SAFEM is able to predict the mechanical responses of the asphalt pavement. Using the program SAFEM, the impact of heavy traffic loads was analyzed in terms of stress and strain dis- tribution, surface deflection and fatigue life. The results indicate that if the asphalt pave- ment is subjected to the heavy traffic load more, the thicknesses and stiffness of the pavement structural layers should be increased adequately in order to support the surface deflection, The compressive stress in asphalt binder course is relatively large and increases more significantly compared with that in the other asphalt layers when the axle load becomes larger. With comparison of the predicted fatigue life, the increase of the axle load will lead to the destruction of the asphalt pavement extremely easily.

Durability of Bridge Expansion Joints with Perforated Dowels Under Traffic Impact Loading

In design phases, expansion joints are required to have movement capacity, bearing capacity for static and dynamic loading, watertight, low noise emission and traffic safety. On the basis of the fact that failure due to dynamic loading is the main reason for the observed damages, attention is focused on the bearing capacity for dynamic loading governed by impact, because it differs from the static loading. In this study, from the viewpoint of durability, experimental studies for dynamic behavior were conducted for aluminium alloy expansion joints with perforated dowels. The validity of the perforated dowels against traffic impact loading was confirmed by both experimental and numerical studies.

多层交通荷载下非对称一体化地下结构的动力响应

地下结构在交通荷载作用下的动力响应对其运营期的安全稳定有重要影响。为了探究大断面非对称一体化地下结构在多层交通荷载作用下的动力响应特征,依据工程典型断面建立有限元模型,模拟施加路表、市政、轨道三层交通荷载,分析了非对称一体化地下结构的振动响应和应力分布特征,探究了多层交通荷载共同作用产生的结构动力响应叠加规律。结果表明:非对称一体化结构的振动响应在市政交通层的左幅顶板中部最大,达0.5~0.7 m/s^(2),动应力在轨道交通层底角处最大,达0.08~0.10 MPa;地铁列车荷载是结构动应力的主要影响源,但土钉支护与桩基支撑能够有效降低动应力的影响;作用于地面的车辆荷载会对一体化结构的振动响应产生较显著影响,运营期应重点关注位于地面车辆行驶密集路段的结构。研究结果可为地下非对称一体化结构的优化设计、运营期养护提供参考。

基于Topsis改进因子分析的公路隧道入口段视觉负荷研究

为探究直线公路隧道入口段驾驶者的视觉负荷,首先,通过实车试验采集5种视觉指标,采用Topsis改进因子分析法建立视觉负荷评价模型;然后,分析不同时间及位置下视觉负荷的变化特征,基于构建的视觉负荷曲线提出行车舒适评价标准,并运用已发表数据验证构建负荷模型的泛化能力;最后,通过敏感度分析探究视觉指标对视觉负荷的影响程度。结果表明:当驾驶者位于距洞口-13~55 m(12:00)、-10~49 m(15:00)时,视觉负荷超过临界值(0.906),驾驶者的行车舒适度和安全性极低;洞口驾驶者的视觉负荷值和接近度远大于洞内和洞外;18:00的视觉负荷和接近度远低于12:00和15:00。视觉指标的敏感度参数从大到小依次为注视时间、瞳孔面积、注视次数、扫视幅度、扫视速度。

Estimating the frequency of traffic overloading on road bridges

Load limits,which appear to be routinely exceeded by trucks,occasionally result in road bridge failures.Therefore,predicting failures is crucial for safeguarding road safety.Past studies have largely focused on forecasting bridge failure event probability using the reliability analysis method,whilst occasionally accounting for vehicular overloading effects.Only recently,a study has investigated design traffic overloading event frequency using generalised linear regression models(GLRMs),including a power component and negative binomial regressions(NBRs).However,as far as the authors know,artificial neural network models(ANNMs)have never been applied to this field.This paper is an attempt to fill in these gaps.First a frequencybased metric of traffic overloading was adopted as a driver of failure probability.Second,two alternative‘frequency'models were specified,calibrated,and validated.The former was based on a GLRM,the latter on ANNMs.Then,these models were compared using regression plots(RPs),measures of errors(Mo Es)and the ratio between the number of observed vs predicted design load overcoming events to evaluate their performance.The models analysed more than 2 million weigh-in-motion(WIM)data records from a pilot station on a bridge on a heavily used ring road in Brescia(Italy).Results showed that ANNMs outperformed GLRMs.ANNMs have a higher correlation coefficient(between predicted and target frequencies),lower Mo Es,and a closer-to-unity ratio(between predicted and target frequencies).These findings may increase prediction accuracy of design traffic overloading events and give road authorities more effective traffic management to protect bridges from load hazards.

卫星网络混合负载均衡策略下的多径流量分配算法

为均衡卫星网络流量分配,满足用户QoS需求,提出一种全局和局部结合的混合负载均衡策略下的多径流量分配算法(HLB-MTD)。根据QoS业务需求进行部分路径筛选,基于表的散列算法进行流量的初次分配;在初次分配的基础上针对突发拥塞进行局部调整,建立重映射目标函数,通过改进交叉和变异概率的遗传算法求出最优解;求得局部优化的,流到路径的映射策略。仿真结果表明,该算法可有效缓解卫星网络拥塞,实现流量均衡分配,在丢包率、平均排队时延、等指标上有更好的提升。

亮度和速度协同下公路隧道口路段驾驶舒适度研究

为探究山区双车道公路隧道口路段驾驶心理负荷的变化特性,本文采用实车试验的研究手段,招募27名驾驶人作为被试,选择重庆市境内的9座隧道作为试验场景,采集驾驶人、车辆和驾驶环境的行车数据,使用驾驶人的心率增长率表征驾驶心理负荷。通过数据分析,对驾驶人在隧道口路段的驾驶心理负荷与亮度和速度的相关性进行研究。结果表明,山区双车道公路隧道入口段的驾驶心理负荷大于出口段;在环境亮度小于500 cd·m^(-2)时,驾驶心理负荷对亮度的变化更为敏感,进而提出亮度变化率的计算公式,当亮度变化率在60%时,黑洞和白洞效应对驾驶人的心理影响趋于相同;在隧道口路段,速度对驾驶心理负荷具有放大效应;根据驾驶心理负荷值,划分隧道口路段的驾驶舒适度区间,提出基于驾驶舒适度需求的亮度变化率和速度的安全阈值,并给出计及亮度变化率和隧道口净空高度的亮度曲线。

基于LEO卫星通信的拥塞预测方案

为解决路由算法对卫星通信拥塞情况处理不及时导致卫星系统的吞吐量、时延和丢包率等性能的影响,提出一种基于LEO卫星通信的拥塞预测方案。该方案是利用卫星进行区域判断,识别自己是否处于拥塞区域。处于拥塞区域时可获取相关区域的信息,并分享其位置信息,实现相邻卫星针对拥塞区域信息的实时交互以达到预测拥塞,减少拥塞区域的交通负荷的集中。实验结果表明,利用该方案的路由算法相较于利用之前的方案或策略的路由算法,对整个卫星通信系统在吞吐量、时延和丢包率方面的性能有所提高。

随机车流作用下拱桥吊杆疲劳性能研究

为研究吊杆的疲劳性能,以某拱桥为工程背景,在MATLAB中使用蒙特卡洛抽样建立考虑车型、车道、车距、车速、车重5种参数的随机车流模型,使用ANSYS求解吊杆在随机车流荷载作用下的应力时程,评估吊杆的疲劳损伤和寿命。结果表明,跨中长吊杆和拱脚附近的短吊杆疲劳损伤值高于其他吊杆;车流密度越大,吊杆疲劳损伤值越大,个别吊杆的不同车流密度下疲劳损伤值可相差20倍;车流密度对吊杆疲劳寿命影响很大,尽可能使用长时间的实测车流数据才能得到满意的预测结果。

考虑负荷时空均衡和弹性响应的电动汽车快充电价定价策略

为了引导电动汽车有序充电,提出了一种考虑负荷时空均衡和弹性响应的电动汽车快充电价定价策略。引入交通流理论描述交通路网,建立电动汽车快充负荷时空分布模型;考虑配电网调度和电动汽车快充负荷的弹性需求,构建源-荷互动下的快充电价定价架构,并基于潮流追踪法从时空双维度推导快充电价的计算方法;在此基础上,计及电动汽车负荷弹性响应特性,以提升配电网的负荷均衡性为目标,建立快充电价定价策略,并通过迭代算法求解该定价策略。算例仿真结果表明,所提定价策略能够有效引导电动汽车进行有序快充,激励电动汽车用户与配电网友好互动,提升负荷的时空分布均衡性。

基于电压偏差和SOC的电氢耦合系统多源协调控制策略

在公路直流微电网中,电动汽车充电行为的时间特性和充电方式特性会对直流母线电压造成不同程度的冲击,高渗透率的电动汽车负荷对“源-荷-储”协调控制提出新的挑战。通过分析公路直流微电网的交通负荷特性和微源特点,提出了一种基于直流母线电压偏差的电氢耦合系统多源协调控制策略。此控制策略以蓄电池作为调压核心元件,通过检测变流器端口直流母线电压波动来实现协调自洽运行,无需通信即可实现系统的功率平衡。为避免蓄电池因荷电状态(SOC)过界而退出运行,设计了一种多源自适应下垂控制器,使氢能单元主动响应SOC变化,减少蓄电池SOC管理造成的不平衡功率,抑制SOC向边界值的趋近速度,实现SOC的动态平衡。最后,在Matlab/Simulink中验证了所提控制策略的有效性。

铁路交通荷载作用下的土体移动多源黏弹性边界

黏弹性边界由于可以有效地消除土体边界反射、易与有限元结合等优点,成为结构-土体动力相互作用分析中常用的人工边界。黏弹性边界是基于单源和固体源提出的,然而交通荷载作用下轨枕、路基和桥墩等铁路基础设施振动引发的环境振动属于多源和移动源问题,采用现有的黏弹性边界会产生一定的误差。该研究基于多源及移动源的特点,利用波动方程对既有的黏弹性边界进行修正,提出了移动多源黏弹性边界方程。同时为减小前处理工作量,结合黏弹性本构方程和UMAT子程序构建了移动多源黏弹性边界单元,实现了边界单元材料属性的自动更新,并进行了算例验证。研究结果表明,在多源和移动源作用下,移动多源黏弹性边界和自由边界的计算结果差异基本保持在5%以内,而修正前的黏弹性边界与自由边界的垂向位移最大可相差35%。可以看出,相比于修正前的黏弹性边界,在处理多源和移动源问题时修正后的黏弹性边界具有更高的精度。

考虑负载和时延的船舶无线网络节点流量控制

针对船舶无线网络稳定性较差,易出现负载失衡、信息传输时延高的问题,研究考虑负载和时延的船舶无线网络节点流量控制方法。此方法利用有向图优化船舶无线网络结构与节点分层结构;计算船舶无线网络节点负载占用率与可用率,提取负载均衡的节点通信路径;使用基于RTT的拥塞流量分配算法,以缩短延时为目标,考虑负载和时延的船舶无线网络节点流量控制。实验结果显示:此方法使用后,船舶紧急业务、关键业务、普通业务在无线网络中分组投递率提升,解决了负载失衡问题;紧急业务端到端时延低于100 ms,关键业务与普通业务端到端时延低于1 000 ms,流量控制效果较好。