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Review Article

A new method for damage prognosis based on incomplete modal data via an evolutionary algorithm

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Pages 253-270 | Received 29 Jul 2013, Accepted 04 Jan 2014, Published online: 31 Jan 2014

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Denghua Zhong, Zongxian Liu, Zhe Su, Kai Li & Xiaochao Li. (2022) Predicting and controlling the cement intake during curtain grouting of dam foundations. European Journal of Environmental and Civil Engineering 26:9, pages 4237-4262.
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S. S. Kourehli. (2017) Structural damage diagnosis using incomplete static responses and LS-SVM. Inverse Problems in Science and Engineering 25:3, pages 418-433.
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Articles from other publishers (5)

D. Dinh-Cong & T. Nguyen-Thoi. (2023) A chaos game Optimization-based model updating technique for structural damage identification under incomplete noisy measurements and temperature variations. Structures 48, pages 1271-1284.
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Parsa Ghannadi & Seyed Sina Kourehli. (2022) Efficiency of the slime mold algorithm for damage detection of large‐scale structures. The Structural Design of Tall and Special Buildings 31:14.
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Soroush Safakhah, Seyed Mehdi Zahrai & Ali Kheyroddin. (2019) Using two-stage method in reinforced concrete bridge piers for damage quantification. Proceedings of the Institution of Civil Engineers - Structures and Buildings 172:6, pages 422-436.
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Soroush Safakhah, Ali Kheyroddin & Seyed Mehdi Zahrai. (2018) Experimental study on damage detection of RC bridge piers under ambient vibration. Journal of Vibroengineering 20:2, pages 1087-1098.
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Yasha Zeinali & Brett Story. (2016) Structural Impairment Detection Using Deep Counter Propagation Neural Networks. Procedia Engineering 145, pages 868-875.
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