用引导波和遗传算法来描述层层的工程木材的机械性能
Nemish Atreya1, Pai Wang2, Xuan Zhu1
1Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
这项研究引入了一种新的方法,可以在不破坏的情况下确定分层工程木材的材料特性. 该框架加强了大木建筑的质量控制,确保可靠和可持续的建筑材料.
科学领域:
- 材料科学 材料科学 材料科学
- 结构工程 结构工程
- 声学 声学 在声学方面
背景情况:
- 工程木材或大木材是一种可持续的建筑材料,需要强大的非破坏性评估 (NDE) 和质量保证 (QA).
- 准确的材料参数确定对于确保大木材的结构完整性和性能至关重要.
- 现有的木制品破坏性检测方法表现出显著的变化.
研究的目的:
- 开发一种非破坏性框架,用于确定分层工程木材的材料参数.
- 为了增强大木结构的NDE和QA流程.
- 建立一个基础,对层层的工程木结构进行先进研究.
主要方法:
- 使用静态压缩试验来导出初始弹性模和波桑比率.
- 采用引导波测量来捕捉动态反应和分散关系.
- 应用了基因算法 (GA) 与COMSOL模拟相结合,以解决材料性质的反向问题.
主要成果:
- 该GA框架成功估计了层 Veneer 木材 (LVL) 的正方形弹性常数.
- 拟议的方法在大多数弹性常数中实现了小于10%的误差的估计准确性.
- 估计的弹性常数,特别是垂直曲模式,与破坏性测试的参考值保持一致.
结论:
- 开发的框架提供了一种可行的方法,用于使用引导波和多变量优化来非破坏性地测量LVL的机械特征.
- 这项研究代表了分层工程木材近期经验的重大进展.
- 这些发现支持在可持续和有弹性的民用基础设施中使用大木材.
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