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Analysis of traffic-induced vibrations by blind source separation with application in building monitoring

机译:盲源分离法分析交通诱发的振动及其在建筑物监测中的应用

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The paper presents an approach that may enable the separation of the vibrations induced by underground traffic from the vibrations induced by other sources, based on Second Order Blind Identification (SOBI) algorithm. The signals recorded in different locations of an instrumented building are mixed signals from different internal and external vibration sources. The blind source separation algorithm will estimate the independent vibration sources together with their mixing model. This model can be used to determine the contribution of each source in different measurement points, to evaluate the effect of the vibration sources and their potential for building damage. The above approach has been tested in simulation and on a building subject to different traffic forms.
机译:本文提出了一种方法,该方法可以基于二阶盲识别(SOBI)算法,将地下交通引起的振动与其他来源引起的振动区分开。记录在仪器仪表建筑物不同位置的信号是来自不同内部和外部振动源的混合信号。盲源分离算法将估计独立的振动源及其混合模型。此模型可用于确定每个源在不同测量点的贡献,以评估振动源的影响及其对建筑物造成破坏的可能性。上面的方法已经在模拟中和在经受不同交通形式的建筑物上进行了测试。

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