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Reliability assessment of TMD-based control structures : A Statistical Learning Perspective

Abstract : The study of structural reliability mainly concerns the evaluation and prediction of the risk of limit state violation for an engineering structure at any stage of its life. Reliability evaluation helps improve structure design and product quality, which is of great significance for companies and consumers. It is also the basis of reliability modeling and prediction. Vibration control is a technique to reduce the energy of a vibrating structure when it is excited by external forces. This technique is widely used in various systems, such as buildings, bridges, machine tools and vehicles. Reliability prediction helps companies make production planning and implement preventive maintenance. To do the predictions, a reliability model is firstly determined. Due to complex interior and exterior factors, the structure properties always deviate their design values. The structural uncertainties play an important role in reliability modeling. Traditional reliability models are commonly based on a priori information and professional knowledge, which has been unrealistic for today’s systems that are more complex and nonlinear due to advanced design methodologies. In this situation, growing attention has been paid to non-parametric statistical learning approaches. Seen as a classification/ regression procedure, the prediction task can be realized by machine learning models, such as Tree methods, Support vector machines, Artificial Neural Networks, etc. These models are attracting more and more attention in recent published researches. In this research, we have investigated several machine learning models such as Random Forests, Adaptive Boosting, Support vector machines, Artificial Neural Networks, etc. Besides we developed a new system reliability assessment method for complex structural systems. These methods extend statistical learning methods on structural reliability analysis and prediction.
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Submitted on : Thursday, July 9, 2020 - 12:49:13 PM
Last modification on : Thursday, September 17, 2020 - 3:08:08 AM


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  • HAL Id : tel-02894941, version 1



Weizhen You. Reliability assessment of TMD-based control structures : A Statistical Learning Perspective. Other. Université de Lyon, 2020. English. ⟨NNT : 2020LYSEC001⟩. ⟨tel-02894941⟩



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