标准摘要
[中文适用范围]: 本文件描述了一种通过测量表面轮廓并根据该轮廓计算纹理深度来确定路面宏观纹理平均深度(参见第 3 条)的测试方法。 该技术旨在仅提供路面宏观纹理的平均深度值,并且被认为对路面微观纹理和不平坦特征不敏感。 本文件的目的是提供一种国际公认的确定路面表面纹理深度的程序,该程序是传统使用的体积修补技术(通常使用沙子或玻璃珠)的替代方法,提供可比较的纹理深度值。 为此,本文档描述了旨在提供使用体积补丁方法确定的纹理深度的最佳表示的过滤程序[13]。 使用的现代轮廓仪几乎完全是非接触式的(例如激光、光缝或光片等),并且本文档主要针对这种类型。 然而,这并不排除其部分应用到其他类型的轮廓仪。 该 ISO 13473 系列是根据指定车辆噪声测量测试表面时确定的需求而制定的(参见 ISO 10844:2014[6])。 根据本文件的宏观纹理深度测量通常不足以指定车辆的测试条件或交通噪声测量,但作为与指定表面的其他方式结合的补充,其应用有限。 该测试方法适用于确定路面的平均轮廓深度(MPD)。 该 MPD 可以根据体积补丁方法转换为估计宏观纹理深度的量。 它适用于路面样品的现场测试和实验室测试。 当与其他物理测试结合使用时,由该测试方法得出的宏观纹理深度值适用于评估路面抗滑特性(参见参考文献[15])、评估噪声特性以及评估铺路材料或路面的适用性整理技术。 该方法与其他测量(如适用),例如孔隙率或微观纹理,可用于评估路面的质量。 本文件适用于路面纹理测量,不适用于其他应用。 路面骨料颗粒的形状、尺寸和分布是本程序中未涉及的表面纹理特征。 该方法并不旨在提供路面表面纹理特征的完整评估。 特别是,众所周知,如果该方法应用于多孔表面或凹槽表面,则在解释结果时会存在问题(参见附录 B)。 注:涉及表面轮廓分析方法的其他国际标准包括,例如参考文献 [1]、[2] 和 [3]。 虽然这些中没有明确说明,但它们主要用于测量金属表面的表面光洁度(微观纹理),并不打算应用于路面。 [外文原描述]: This document describes a test method to determine the average depth of pavement surface macrotexture (see Clause 3) by measuring the profile of a surface and calculating the texture depth from this profile. The technique is designed to provide an average depth value of only the pavement macrotexture and is considered insensitive to pavement microtexture and unevenness characteristics. The objective of this document is to make available an internationally accepted procedure for determination of pavement surface texture depth which is an alternative to the traditionally used volumetric patch technique (generally using sand or glass beads), giving comparable texture depth values. To this end, this document describes filtering procedures that are designed to give the best possible representation of texture depths determined with the volumetric patch method[13]. Modern profilometers in use are almost entirely of the contactless type (e.g. laser, light slit or light sheet, to mention a few) and this document is primarily intended for this type. However, this does not exclude application of parts of it for other types of profilometers. This ISO 13473 series has been prepared as a result of a need identified when specifying a test surface for vehicle noise measurement (see ISO 10844:2014[6]). Macrotexture depth measurements according to this document are not generally adequate for specifying test conditions of vehicle or traffic noise measurements, but have limited applications as a supplement in conjunction with other ways of specifying a surfacing. This test method is suitable for determining the mean profile depth (MPD) of a pavement surface. This MPD can be transformed to a quantity which estimates the macrotexture depth according to the volumetric patch method. It is applicable to field tests as well as laboratory tests on pavement samples. When used in conjunction with other physical tests, the macrotexture depth values derived from this test method are applicable to estimation of pavement skid resistance characteristics (see e.g. Reference [15]), estimation of noise characteristics and assessment of the suitability of paving materials or pavement finishing techniques. The method, together with other measurements (where applicable), such as porosity or microtexture, can be used to assess the quality of pavements. This document is adapted for pavement texture measurement and is not intended for other applications. Pavement aggregate particle shape, size and distribution are surface texture features not addressed in this procedure. The method is not meant to provide a complete assessment of pavement surface texture characteristics. In particular, it is known that there are problems in interpreting the result if the method is applied to porous surfaces or to grooved surfaces (see Annex B). NOTE Other International Standards dealing with surface profiling methods include, for example, References [1], [2] and [3]. Although it is not clearly stated in these, they are mainly used for measuring surface finish (microtexture) of metal surfaces and are not intended to be applied to pavements.
英文名称Characterization of pavement texture by use of surface profiles — Part 1: Determination of mean profile depth