1.1 本规程给出了标准均匀分布的计算机生成例程的最低测试程序。标准均匀分布的随机观察， R U ，范围从0到1，每个值都在0到1之间，出现的几率相等。 1.2 本规程中描述的测试仅支持随机数生成器的基本使用，而不支持在复杂或极其精确的模拟中使用它们。 1.3 给出了正态、对数正态、2参数威布尔和3参数威布尔概率分布的仿真细节。 1.4 本标准并不旨在解决与其使用相关的所有安全问题（如有）。本标准的使用者有责任在使用前制定适当的安全、健康和环境实践，并确定监管限制的适用性。 请参阅中的特定警告声明 5.5.3 . 1.5 本国际标准是根据世界贸易组织技术性贸易壁垒（TBT）委员会发布的《关于制定国际标准、指南和建议的原则的决定》中确立的国际公认标准化原则制定的。 =====意义和用途====== 4.1 众所周知，计算机模拟对于木材产品及其在结构工程中的应用领域的从业人员和研究人员来说是一种非常强大的分析工具。复杂结构系统可以通过计算机进行分析，计算机生成系统组件，给出每个组件的概率分布。组件通常是单板，需要一组兼容的强度和刚度特性。 然而，整个结构模拟过程取决于从规定的概率分布函数生成随机观测值所需的标准均匀数生成器的充分性。 4.2 微型计算机的技术能力和广泛可用性鼓励它们更多地用于模拟研究。对常用微型计算机中随机数发生器的测试发现了严重缺陷 ( 1. ) . 3. 充分性可能是预期最终用途的函数。本实践涉及生成随机数集，这对于模拟复杂结构的大量材料特性可能是必需的。对于要求更高的应用，鼓励使用打包和预测试的随机数生成器。

1.1 This practice gives a minimum testing procedure of computer generation routines for the standard uniform distribution. Random observations from the standard uniform distribution, R U , range from zero to one with every value between zero and one having an equal chance of occurrence. 1.2 The tests described in this practice only support the basic use of random number generators, not their use in complex or extremely precise simulations. 1.3 Simulation details for the normal, lognormal, 2-parameter Weibull and 3-parameter Weibull probability distributions are presented. 1.4 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety, health, and environmental practices and determine the applicability of regulatory limitations prior to use. See specific warning statement in 5.5.3 . 1.5 This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee. ====== Significance And Use ====== 4.1 Computer simulation is known to be a very powerful analytical tool for both practitioners and researchers in the area of wood products and their applications in structural engineering. Complex structural systems can be analyzed by computer with the computer generating the system components, given the probability distribution of each component. Frequently the components are single boards for which a compatible set of strength and stiffness properties are needed. However, the entire structural simulation process is dependent upon the adequacy of the standard uniform number generator required to generate random observations from prescribed probability distribution functions. 4.2 The technological capabilities and wide availability of microcomputers has encouraged their increased use for simulation studies. Tests of random number generators in commonly available microcomputers have disclosed serious deficiencies ( 1 ) . 3 Adequacy may be a function of intended end-use. This practice is concerned with generation of sets of random numbers, as may be required for simulations of large populations of material properties for simulation of complex structures. For more demanding applications, the use of packaged and pretested random number generators is encouraged.