多方向木质层压板热结构火灾试验的规模建模

IF 3.1 2区 农林科学 Q1 FORESTRY
Michael J. Gangi, Brian Y. Lattimer, Scott W. Case
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引用次数: 0

摘要

层压木材的堆叠顺序会对材料的复合机械性能产生重大影响,尤其是在缩放胶合板的热机械测试时。在之前的研究中,我们开发了一种对具有相似横截面的样品进行热结构测试的缩放方法,但本文重点测试的是尺度之间具有不同堆叠顺序的胶合板样品。对 ½ 和 ¼ 尺度的胶合板样品进行了弯曲和热加载组合试验,加载比例为相同的初始静态弯曲应力。虽然 ¼ 级的 4 层[0°/90°]s 层合板和 ½ 级的 8 层[0°/90°/90°/0°]s 层合板的 0° 和 90° 层数相等,但随着炭化前沿的发展,各部分的表现有所不同。因此,要从较小的¼级试验中推断数据,预测较大的½级试验的行为,建模就变得至关重要。采用包含经典层压板理论的缩减截面积模型 (RCAM) 来预测复合材料样品在炭化前沿增加时的机械响应。提出了三种校准 RCAM 模型的方法:傅里叶数缩放法、基于详细动力学的热解 GPyro 模型以及与火暴露热响应测试数据的拟合。用实验炭测量数据校准的模型得出的预测结果最为准确。经过验证的实验性木炭模型对 ¼ 级测试行为的预测在 2.5% 以内,对 ½ 级测试行为的预测在 4.5% 以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Scale modeling of thermo-structural fire tests of multi-orientation wood laminates

Scale modeling of thermo-structural fire tests of multi-orientation wood laminates

The stacking sequence of laminated wood significantly impacts the composite mechanical behavior of the material, especially when scaling down thermo-mechanical tests on plywood. In previous research, we developed a scaling methodology for thermo-structural tests on samples with similar cross sections, however this paper focused on testing plywood samples with different stacking sequences between the scales. Plywood samples at ½-scale and ¼-scale were subjected to combined bending and thermal loading, with the loading scaled to have the same initial static bending stresses. While the ¼-scale 4-layer [0°/90°]s laminate and the ½-scale 8-layer [0°/90°/90°/0°]s laminate had an equal number of 0° and 90° layers, as the char front progresses, the sections behave differently. Thus, modeling becomes essential to extrapolating the data from the smaller ¼-scale test to predict the behavior of the larger ½-scale test. Reduced cross-sectional area models (RCAM) incorporating classical laminated plate theory were used to predict the mechanical response of the composite samples as the char front increased. Three methods were proposed for calibrating the RCAM models: Fourier number scaling, from detailed kinetics-based pyrolysis GPyro models, and fitting to data from fire exposure thermal response tests. The models calibrated with the experimental char measurements produced the most accurate predictions. The experimental char models validated to predict the behavior of the ¼-scale tests within 2.5%, were then able to predict the ½-scale test behavior within 4.5%.

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来源期刊
Wood Science and Technology
Wood Science and Technology 工程技术-材料科学:纸与木材
CiteScore
5.90
自引率
5.90%
发文量
75
审稿时长
3 months
期刊介绍: Wood Science and Technology publishes original scientific research results and review papers covering the entire field of wood material science, wood components and wood based products. Subjects are wood biology and wood quality, wood physics and physical technologies, wood chemistry and chemical technologies. Latest advances in areas such as cell wall and wood formation; structural and chemical composition of wood and wood composites and their property relations; physical, mechanical and chemical characterization and relevant methodological developments, and microbiological degradation of wood and wood based products are reported. Topics related to wood technology include machining, gluing, and finishing, composite technology, wood modification, wood mechanics, creep and rheology, and the conversion of wood into pulp and biorefinery products.
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