Adamczak-Bugno Anna, Świt Grzegorz, Krampikowska Aleksandra
Faculty of Civil Engineering and Architecture, Kielce University of Technology, 25-314 Kielce, Poland.
Materials (Basel). 2021 Sep 5;14(17):5076. doi: 10.3390/ma14175076.
This paper outlines a design for a fibre-cement panel ventilated façade smart control system based on the acoustic emission method. The paper also provides methodology and test results, as well as statistical analysis of the three-point bending results with AE signal acquisition as a basis for the development of the system in question. The test items were samples cut from a full-size fibre-cement panel for interior and exterior use, according to the standard guidelines. The recorded acoustic emission signals were classified statistically into four classes, which were assigned to the processes occurring in the material structure as a result of the applied load. The system development was based on the differences between the characteristics of the individual signal classes and their number for each test case, as well as on the different distribution of successive classes over time. Given the results of the tests and the resulting conclusions indicating the applicability of the acoustic emission method (based on signal classification using the k-means algorithm for the assessment of variations in the mechanical parameters of cement-fibre composites), a methodology for such assessment was therefore developed. The approach proposed is a reasonable method for assessing the variation in mechanical parameters of fibre-cement panels on the basis of the parameters determined by the non-destructive method indicated.
本文概述了一种基于声发射方法的纤维水泥板通风外墙智能控制系统的设计。本文还提供了方法和测试结果,以及以声发射信号采集为基础的三点弯曲结果的统计分析,以此作为所讨论系统开发的依据。测试项目是根据标准指南从用于室内和室外的全尺寸纤维水泥板上切割下来的样本。记录的声发射信号经统计分为四类,这些类别对应于由于施加荷载而在材料结构中发生的过程。系统开发基于各个信号类别的特征及其在每个测试案例中的数量差异,以及连续类别随时间的不同分布。鉴于测试结果以及由此得出的结论表明声发射方法的适用性(基于使用k均值算法进行信号分类以评估水泥纤维复合材料的力学参数变化),因此开发了一种用于此类评估的方法。所提出的方法是一种基于所示无损方法确定的参数来评估纤维水泥板力学参数变化的合理方法。