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    An Innovative Data-Driven Approach for Detection of Linear and Nonlinear Damage in Building Structures Using Signal Processing and BiLSTM-Based Deep Learning 

    Source: Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 003:;page 04025033-1
    Author(s): Ali Soleimani; Leila Shahryari; Gholam Reza Atefatdoost
    Publisher: American Society of Civil Engineers
    Abstract: This paper introduces a new method to detect damage in building structures using a data-driven approach. The method undergoes testing on two benchmarks, one featuring linear damage and the other nonlinear damage. The ...
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