Shaking table tests on seismic measures of a model mountain tunnel

A series of three dimensional (3D) shaking table tests were carried out to investigate the mechanism and effect of seismic measures of mountain tunnel using a scaled model based on a real tunnel. Key technical details of the experiment, including similarity relations, seismic measures simulation, boundary conditions, sensor layout, modeling methods, and ground motion input were presented. Main seismic measures, including reinforcing surrounding rock with anchors, increasing lining flexibility with steel wire mesh, and installing seismic isolation layer between reinforced surrounding rock and tunnel lining, were investigated in this study. Experiment results show that: (1) adding a layer of steel wire mesh in the tunnel lining can improve the flexibility and seismic performance and also may effectively prevent radial cracks from crossing the lining; (2) installing a geofoam isolation layer between the reinforced surrounding rock and the tunnel lining reduces dynamic earth pressure by 70–90% for the lining without a seismic isolation layer; (3) the flexible joints can effectively avoid global failures of tunnel lining for they reduce dynamic strain and bending force in the tunnel lining and decrease the seismic energy transmission along the lining in axial direction; (4) reinforcing surrounding rock with anchors significantly reduces dynamic earth pressure and strain of the lining by about 50%. In addition, the length of seismic reinforcement for general mountain tunnel portal is recommended to be 50 m from the tunnel portal along the axial direction.     

ReStation三维配筋系统在导流隧洞工程中的应用

受水力学条件、结构稳定要求等因素影响,导流隧洞进水口结构型式一般较为复杂,结构配筋存在较大难度。以杨房沟水电站导流隧洞工程为例,通过ANSYS有限元计算确定结构配筋参数,再输入至Re Station三维配筋设计系统,通过智能钢筋抽图准确绘制施工图纸,有效地解决了复杂进水口结构大体积混凝土的配筋问题,可为其他类似工程提供借鉴。     

Wind tunnel-based testing of a photoelectrochemical oxidative filter-based air purification unit in coronavirus and influenza aerosol removal and inactivation

Recirculating air purification technologies are employed as potential means of reducing exposure to aerosol particles and airborne viruses. Toward improved testing of recirculating air purification units, we developed and applied a medium-scale single-pass wind tunnel test to examine the size-dependent collection of particles and the collection and inactivation of viable bovine coronavirus (BCoV, a betacoronavirus), porcine respiratory coronavirus (PRCV, an alphacoronavirus), and influenza A virus (IAV), by a commercial air purification unit. The tested unit, the Molekule Air Mini, incorporates a MERV 16 filter as well as a photoelectrochemical oxidating layer. It was found to have a collection efficiency above 95.8% for all tested particle diameters and flow rates, with collection efficiencies above 99% for supermicrometer particles with the minimum collection efficiency for particles smaller than 100 nm. For all three tested viruses, the physical tracer-based log reduction was near 2.0 (99% removal). Conversely, the viable virus log reductions were found to be near 4.0 for IAV, 3.0 for BCoV, and 2.5 for PRCV, suggesting additional inactivation in a virus family- and genus-specific manner. In total, this work describes a suite of test methods which can be used to rigorously evaluate the efficacy of recirculating air purification technologies.     

高水差条件下内河沉管隧道健康监测系统研究

以建设中的国内最大内河沉管隧道——南昌红谷隧道为工程依托,针对其高水差、长大管节、地层条件复杂、隧道纵坡变化大等特点,设计了针对该沉管隧道的结构健康监测方案,并构建了一套健康监测评估系统。重点论述了管段接头张开和错位、管段不均匀沉降、剪切键受力的监测方法以及健康评估指标体系的构建过程。该监测系统可实现对隧道多项位移、内力等健康指标数据的实时全自动测取与传输,并可自动进行隧道健康状态评估,给出预警、报警、管理、养护建议。     

枪钻和深孔合金钻在深孔加工的对比应用

介绍了模具加工中深孔加工的不同方式,并结合其各自的特点,进行了详细说明,供读者参考。     

基于灰色关联故障树的运营期隧道病害风险研究

隧道运营期的管理决定了铁路运行的安全,为保证运营安全,必须对隧道运营期病害的风险进行管理研究。用故障树方法对隧道病害进行分析,找出影响隧道运营安全作为底事件,分析出故障树系统任意一个底事件相关割集的重要度。利用灰色关联的思想得出任意最小割集的关联度,再依据关联度得出需要重视的底事件(既有排水设施年久失修阻塞,材料强度下降,隧道内照明不良),并提出具有针对性的管理改进建议。     

Deep Scalogram Representations for Acoustic Scene Classification

Spectrogram representations of acoustic scenes have achieved competitive performance for acoustic scene classification. Yet, the spectrogram alone does not take into account a substantial amount of time-frequency information. In this study, we present an approach for exploring the benefits of deep scalogram representations, extracted in segments from an audio stream. The approach presented firstly transforms the segmented acoustic scenes into bump and morse scalograms, as well as spectrograms; secondly, the spectrograms or scalograms are sent into pre-trained convolutional neural networks; thirdly, the features extracted from a subsequent fully connected layer are fed into (bidirectional) gated recurrent neural networks, which are followed by a single highway layer and a softmax layer; finally, predictions from these three systems are fused by a margin sampling value strategy. We then evaluate the proposed approach using the acoustic scene classification data set of 2017 IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE). On the evaluation set, an accuracy of 64.0% from bidirectional gated recurrent neural networks is obtained when fusing the spectrogram and the bump scalogram, which is an improvement on the 61.0% baseline result provided by the DCASE 2017 organisers. This result shows that extracted bump scalograms are capable of improving the classification accuracy, when fusing with a spectrogram-based system.      

软土场地不规则深基坑旋喷锚护支撑技术

某工程基坑具有周边环境开阔、开挖范围内土质条件差、基坑平面形状不规则、开挖面积大等特点。对比优选对撑和角撑的结合、环形支撑、锚杆拉撑等支撑形式，大部分区域采用对撑和角撑相结合形式，在沉井位置处加设拉梁板支撑，在对撑和角撑难以布置的区段采用斜向旋喷锚桩作为外拉锚撑，在需严格保护的文物建筑区段，采用布置角撑及拉梁钻孔桩的形式。监测数据表明，基坑水平位移及竖直位移均在设计要求变形控制范围内，且取得了较好经济效益。