Water and power networks and urban fragmentation in Los Angeles: Rethinking assumed mechanisms

Los Angeles is often described as the epitome of urban fragmentation, a notion which in this context is frequently connected to, or even conflated with urban sprawl. At the same time, the city features integrated water and power networks which have been under public ownership for over 70 years. We thus have an apparent paradox in the context of the debate on ‘splintering urbanism’, between socio-spatial fragmentation and the integration of networks. In discussing the idea that deregulation of infrastructural networks exacerbates urban fragmentation, the authors use the case of Los Angeles in order to highlight the central role of private interests in management decisions concerning infrastructure networks. The authors carry out their analysis in an historical perspective, revealing that network integration and universal access can often serve private interests more than the public good. Urban fragmentation in Los Angeles, they conclude, is the result of a complex process of instrumentalisation of network development and management.     

多年冻土地区砂砾路面路堤临界高度数值分析

In permafrost regions of Qinghai-Tibetan Plateau, the critical embankment height must be considered in the process of the construction of highway, especially for the global climatic warming. In this paper, the two-dimensional numerical analysis for the critical embankment height (for gravel road surface and coarse-grained soil) has been performed by using thefinite element method. In the calculation, we think that the service life of the construction is at least 50 years. The mean annual air temperatures applied to the calculation model are -6.5 ℃, -6.0 ℃, -5.5 ℃, -5.0 ℃, -4.5 ℃ and -4.0 ℃, respectively, and the value of temperature rise are taken as 1.10℃ in the coming 50 years. The minimum embankment heights derived from the analysis are 0.85 m, 0.92 m, 1.01 m, 1.18 m, 1.60 m and 2.66 m for the different mean annual air temperatures and the maximum embankment heights are 7.68 m,7.55 m, 7.34 m, 7.00 m, 6.45 m and 5.85m, accordingly. On condition that the service life of embankment is 50 years, the critical value of the mean annual air temperature is -3.5 ℃. Namely, in the areas where the mean annual air temperature is higher than -3.5 ℃, the critical embankment height does not exist.     

基于航空联系的中国城市网络格局演变分析

运用2000、2005、2010、2017年全国民航机场及航线客流的截面数据（不含港澳台地区）,结合复杂网络、GIS与地理探测器方法,刻画了21世纪以来我国航空联系网络所反映的城市网络格局,并分析其演变过程及影响因素。结果表明：中国目前形成了以上海、北京、广州、成都为一级核心城市,多层次、多中心的网络格局,并由“三中心”逐渐演变为“四中心”结构;中心城市分布具有明显的东西差异,呈现“三足鼎立、西部突出、中部薄弱”态势;全国城市网络具有无标度、小世界特征及较强的集聚性,中心城市在2005年前向东南沿海集聚,而后向中西部地区扩散,集聚性有所降低;中国城市网络格局的演变由政策支持、旅游发展水平、经济基础、产业结构等多因素共同驱动。     

隧道围岩强度不均地段塌方成因及其处理方法

由于地质构造作用以及风化作用,工程场地岩体中多存在围岩强度不均地段.在隧道施工过程中就经常遇到软硬岩石交汇而形成的地质条件复杂地段;给隧道的施工带来了很多不利情况,并且也是导致隧道塌方的原因之一.2006年1月,承德韩郭线二级公路工程,喇嘛梁隧道软硬岩石交汇地段由于地下水作用导致围岩风化程度不均,产生软弱结构面并造成了大面积塌方.基于现场的追踪调查与考察,本文详细描述了利用拱顶架设工字钢梁并配合超前注浆小导管的支护方法来处理这类围岩.     

基于非线性理论的边坡稳定性评价模型

边坡稳定问题涉及到各类水利、港工、铁路和工业民用建筑工程。由于影响边坡稳定性的因素较多，而且其变形破坏机理复杂，边坡稳定性问题迄今仍然受到理论研究和工程实践的关注。本文采用非线性理论和方法来研究边坡的变形破坏机理，并建立稳定性评价模型。以分叉和突变理论引出突变级数来表征边坡的状态，并用神经网络从中获取稳定性评价和判断的知识，进而构建系统，并对各类边坡稳定状态做出分析评价。实例分析证明了该方法的有效性。     

基于复杂网络的岩土颗粒材料分散性失稳先兆研究

岩土颗粒材料在达到Mohr-Coulomb塑性极限之前可能已经发生了没有明显局部损伤的全域准均匀破坏,即分散性失稳。近年来,网络科学工具在颗粒材料环境中的应用为研究其失稳破坏现象提供了有趣新颖的洞见。采用离散单元法对不同初始密实度的颗粒体系进行等体积应变加载路径的数值试验,发现初始状态越松散的颗粒体系越有可能发生分散性失稳;采用网络科学的理论和方法分析颗粒接触网络的拓扑结构特性和演化规律,发现颗粒材料分散性失稳的结构根源是颗粒接触网络完全崩塌。将颗粒体系划分为强、弱接触系统以构建强接触子网络、弱接触子网络和强−弱接触子网络,研究颗粒接触网络及其3个子网络的特征量演化,结果表明：当颗粒材料开始处于不稳定状态时,易受扰动的弱接触系统的部分接触先失效,导致强接触系统失去其稳定支撑作用而降低承载能力。随着加载的继续,系统通过非局部的自组织过程导致接触结构的全面崩塌,最终触发整体分散性失稳。因此,先于整体失稳的部分弱接触的失效,可视为颗粒材料分散性失稳的关键性临界征兆。     

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction models.The coefficient of determination(R^2)and root mean square error(RMSE)are used for model evaluations.The influence of input time series length on the model performance is investigated.The results reveal that MLP can provide acceptable performance but is not robust.The uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two piezometers.The standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and rainfall.The GRU and LSTM models can provide more precise and robust predictions than the standard RNN.The effects of the hidden layer structure and the dropout technique are investigated.The single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy improvement.The dropout technique is essential to overfitting prevention and improvement of accuracy.     

降雨入渗条件下粗粒土路堤暂态饱和区发展规律及稳定性研究

为了分析降雨入渗条件下粗粒土路堤暂态饱和区发展规律及稳定性,结合工程实际及气象资料,通过拟定不同的降雨计算方案,采用饱和-非饱和渗流理论对粗粒土路堤边坡在不同降雨条件下雨水入渗过程进行数值模拟.研究结果表明:降雨过程中路堤边坡表面会形成一定范围的暂态饱和区,暂态饱和区的形成及发展过程与降雨强度及降雨时间密切相关;降雨入渗仅会引起路堤边坡坡面以下水位线的大幅上升,对路堤中部地下水位线影响较小;降雨停止后,路堤上部暂态饱和区迅速消散,而路堤中下部暂态饱和区消散过程则表现出明显的滞后特征,但总体而言暂态饱和区的面积呈下降趋势;降雨入渗将导致入渗区域内基质吸力的丧失与含水率的增加,是造成路堤边坡稳定性降低的主要因素,路堤的失稳形式表现为整体滑移与表面局部坍塌相结合.     

浅析公路边坡防护与加固

介绍了公路边坡防护与加固的类型,对各类防护与加固方法的优缺点进行了分析,并结合隆昔公路的工程实践提出意见和建议。