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Damage detection in frame elements using Grasshopper Optimization Algorithm (GOA) and time-domain responses of the structure

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Abstract

Identifying the place and dimensions of damage is among the most important ways to maintain the structure. It is possible to identify damage in structure by different damage identification methods or prevent damage expansion by necessary restorative measures and increase the structure's lifetime. This study has represented an efficient method to determine the location and severity of damage structures utilizing optimization time-domain responses. Used time-domain responses are node accelerations in limited points of a sheet under dynamic load obtained through the Newmark Method. First, the objective function is defined in optimization using damaged structure accelerations and analytical accelerations obtained from an analytical model. The damage identification problem, which has turned into an optimization problem, is solved by Grasshopper Optimization Algorithm to determine the structure's damage place and severity. To investigate the efficiency of the suggested method, a numerical method has been represented. The results demonstrate the recommended method’s high efficiency to determine the place and severity of the damage preciously considering measurement noise. Various structures suffer from burnout and failure after time. Different failures can be the sort of crack, corrosion, surrendering, and crushing. The type of failure depends on structure, application, environmental conditions, and structure material. For example, in steel bridges, corrosion of girders and sea platforms at the end of diagonal members is the most common deterioration. Identification, restoration, repair, or replacement of damaged members has always been one of the structural engineers’ goals. Therefore, the process of identifying damaged members is one of the most essential and necessary parts of the maintenance and restoration of structures.

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Authors and Affiliations

  1. Department of Civil Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran

    Saeed Nabavi, Sirus Gholampour & Maedeh Sadeghpour Haji

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  1. Saeed Nabavi
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  2. Sirus Gholampour
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  3. Maedeh Sadeghpour Haji
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Correspondence to Saeed Nabavi.

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Nabavi, S., Gholampour, S. & Haji, M.S. Damage detection in frame elements using Grasshopper Optimization Algorithm (GOA) and time-domain responses of the structure. Evolving Systems 13, 307–318 (2022). https://doi.org/10.1007/s12530-021-09389-y

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