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A stochastic approach for the evaluation of the reliability of wood furniture in an industrial context: managing virtual standardization tests

机译：在工业环境中评估木质家具可靠性的随机方法：管理虚拟标准化测试

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摘要

In this paper, a procedure is developed in order to manage virtual tests using numerical simulation in order to reduce time and to optimize design before the real validation tests on wood products. This procedure in 3 steps can be used in an industrial context: (i) characterization of the material properties, (ii) construction of probabilistic density function for each parameter, (iii) Monte Carlo simulation of the structural behavior of the wood products furniture. For this purpose, experimental tests associated with digital image correlation technique were managed using 3 point bending tests easy to develop in an industrial environment. A probabilistic density function was constructed for each mechanical parameter based on the test results using the principle of maximum entropy. The simulation is managed by a FEA developed in the Matlab environment and allows a Monte-Carlo simulation in a reasonable CPU time. We can then evaluate the effect of the input data dispersions on the overall reaction of the structure. A real test is performed on a prototype product in order to confirm the simulation results and to validate the approach.
机译：在本文中，开发了一种程序，以便使用数值模拟来管理虚拟测试，以便减少时间并在对木材产品进行实际验证测试之前优化设计。此过程分为3个步骤，可在工业环境中使用：（i）材料特性的表征，（ii）每个参数的概率密度函数的构造，（iii）木制品家具的结构行为的蒙特卡洛模拟。为此，使用易于在工业环境中开发的三点弯曲测试来管理与数字图像相关技术相关的实验测试。使用最大熵原理，基于测试结果为每个机械参数构造了一个概率密度函数。该仿真由在Matlab环境中开发的FEA管理，并允许在合理的CPU时间内进行Monte-Carlo仿真。然后，我们可以评估输入数据分散对结构整体反应的影响。对原型产品进行了真实测试，以确认仿真结果并验证该方法。

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