<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/10013728" mdate="2024-07-17 00:00:00"> <author>Xuewen Yu and Danhui Dan</author> <title>Identification of Impact Loads and Partial System Parameters Using 1DCNN</title> <pages>256 - 260</pages> <year>2024</year> <volume>18</volume> <number>7</number> <journal>International Journal of Structural and Construction Engineering</journal> <ee>https://publications.waset.org/pdf/10013728</ee> <url>https://publications.waset.org/vol/211</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>The identification of impact loads and some hardtoobtain system parameters is crucial for analysis, validation, and evaluation activities in the engineering field. This paper proposes a method based on 1DCNN to identify impact loads and partial system parameters from the measured responses. To this end, forward computations are conducted to provide datasets consisting of triples (parameter &amp;theta;, input u, output y). Two neural networks are then trained one to learn the mapping from output y to input u and another to learn the mapping from input and output (u, y) to parameter &amp;theta;. Subsequently, by feeding the measured output response into the trained neural networks, the input impact load and system parameter can be calculated, respectively. The method is tested on two simulated examples and shows sound accuracy in estimating the impact load (waveform and location) and system parameter.</abstract> <index>Open Science Index 211, 2024</index> </article>