side pavement

side pavement的基本解释

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人行道

与side pavement相关的网络例句 [注：此内容来源于网络，仅供参考]

China's "Highway Engineering Technical Standards" will be divided into high-level road according to technical quality, sub-senior, middle and low-level four kinds, all kinds of road surface types are as follows: Senior Pavement - asphalt concrete pavement, cement concrete pavement, plant mix asphalt crushed stone pavement, stone pavement of rocks or neat; second high-level road surface - asphalt penetration-style pieces, gravel road, asphalt road debris, gravel road, asphalt road surface, Treatment, semi-neat stone pavement; middle road - broken, gravel (size distribution, or clay-bound) road surface, irregular stone pavement, other granular surface; low road - aggregates stabilized soil surface, and other local materials, reinforcement or improvement of soil surface.

中国《公路工程技术标准》将路面按技术品质分为高级、次高级、中级和低级四种，各种路面的面层类型如下：高级路面——沥青混凝土路面，水泥混凝土路面，厂拌沥青碎石路面，整齐石块或条石路面；次高级路面——沥青贯入式碎、砾石路面，路拌沥青碎、砾石路面，沥青表面处治路面，半整齐石块路面；中级路面——碎、砾石路面，不整齐石块路面，其他粒料路面；低级路面——粒料加固土路面，其他当地材料加固或改善土路面。

The Shanghai Railway Station Area (hereinafter referred to as the Area) mentioned in the present Provisions refers to the public area extending on the east from the west-side pavement of Da TongRoad to the east-side pavement of Heng FengRoad on the west (including the bridge opening of the Heng FengRoad Overpass) and from the north-side pavement of Tian Mu XiRoad on the south to the south-side pavement of Zhong XingRoad on the north (including the squares in front of the Shanghai Railway Station).

本规定所称铁路上海站地区，是指东起大统路西侧人行道，西至恒丰路东侧人行道，南起天目西路北侧人行道，北至中兴路南侧人行道范围内的公共区域（包括铁路上海站站前广场）。

The feasibility of neural network application to asphalt concrete pavement performance forecast is set forth. Three main environmental factors-traffic, rainfall, temperature, which can lead to the direct change of pavement performance are used as the input layer of neural network. The performance indexes of asphaltum concrete pavement, i.e. dilapidation rate, smoothness, deflection, friction coefficient are used as output layer. The relation between environment factor and pavement performance is acquired by introducing the module of BP Neural Network in MATLAB.

阐述了应用BP神经网络进行沥青混凝土路面使用性能预测的可行性，以环境因素，即交通量、降雨量、温度等3个直接使路面性能发生变化的主要因素作为BP神经网络的输入层，以沥青混凝土路面的破损率、平整度、弯沉值、摩擦系数等4项性能指标作为输出层，采用MATLAB语言中的BP神经网络模块进行自学习，得出环境因素与路面使用性能之间的关系。

与side pavement相关的网络解释 [注：此内容来源于网络，仅供参考]

sheet pavement：连续路面,整片路面(沥青、混凝土等的)

rock asphalt pavement 天然[石油]沥青路面 | sheet pavement 连续路面,整片路面(沥青、混凝土等的) | side pavement 人行道路面

I side walk：人行道

I side by side 肩并肩,一个挨一个 The lined up side by side for the photograph. | I side walk 人行道 =pavement | A at first sight 乍一看,初看起来 =at the first time of seeing or meeting

coursed pavement：成层铺面,成层铺砌

continuously reinforced pavement 连续配筋的混凝土路面 | coursed pavement 成层铺面,成层铺砌 | desert pavement 沙漠卵石覆盖层