Experimental and numerical simulation study on mechanical properties of fiber-reinforced plastic seismic isolator

Wang, Hao; Mu, Haoran; Guo, Xiaomao; Zhang, Yunfei; Ji, Haowei; Luo, Cheng; Feng, Huaiping; Liu, Donglin

doi:10.1016/j.engstruct.2022.115108

Cited by 3 publications

(1 citation statement)

References 24 publications

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“…Therefore, in order to make better use of the advantages of bamboo, in today's industrialized world, raw bamboo is usually processed and produced as various bamboo composites. Nowadays, as more and more attention is paid to the application of bamboo, there is more research on bamboo and bamboo composites, and the theories are more in-depth, micro-and macro-properties and chemical characterization have been extensively studied, micro-and macro-properties [3][4][5][6] and chemical characterization [7][8][9] have been extensively studied; Bamboo and bamboo composite materials have been applied in the construction field [10].…”

Section: Introductionmentioning

confidence: 99%

A Review of Basic Mechanical Properties of Bamboo Scrimber Based on Small-Scale Specimens

Xue,

Li,

Lorenzo

2024

JRM

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This review summarizes the existing knowledge about the mechanical properties of bamboo scrimber (BS) in literature. According to literature reviews, the strength of BS under different load modes is affected by a series of factors, such as the type of original bamboo, growth position, resin content, treatment method and density. Therefore, different production processes can be adopted according to different requirements, and bamboo scrimbers can also be classified accordingly. In addition, this review summarizes the changes in different factors considered by scholars in the research on the mechanical properties of BS, so that readers can have an overall understanding of the existing research and make more innovative and valuable research on this basis. This review provides and discusses the conclusive observations, the current research gaps and future research directions on the mechanical properties of BS.

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Section: Introductionmentioning

confidence: 99%

A Review of Basic Mechanical Properties of Bamboo Scrimber Based on Small-Scale Specimens

Xue,

Li,

Lorenzo

2024

JRM

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Stewart Platform as Seismic Isolator in Water Storage Tank through Active Control in the City of Huancayo

Lopez-Mallqui,

Jurado-Almonacid,

Quispe-Cardenas

et al. 2023

2023 3rd International Conference on Computer, Control and Robotics (ICCCR)

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A deep reinforcement learning framework to modify LQR for an active vibration control applied to 2D building models

Gheni,

Al-Khafaji,

Alwan

2024

Open Engineering

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Deep reinforcement learning (DRL) has emerged as a promising approach for optimizing control policies in various fields. In this article, we explore the use of DRL for controlling vibrations in building structures. Specifically, we focus on the problem of reducing vibrations induced by external sources such as wind or earthquakes. We propose a DRL-based control framework that learns to adjust the control signal of a classical adaptive linear quadratic regulator (LQR)-based model to mitigate the vibration of building structures in real-time. The framework combines the proximal policy optimization method and a deep neural network that is trained using a simulation environment. The network takes input sensor readings from the building and outputs signals that work as a corrector to the signals from the LQR model. It demonstrates the approach’s effectiveness by simulating a 3-story building structure. The results show that our DRL-based control approach outperforms the classical LQR model in reducing building vibrations. Moreover, we show that the approach is robust for learning the system’s dynamics. Overall, the work highlights the potential of DRL for improving the performance of building structures in the face of external disturbances. The framework can be easily integrated into existing building control systems and extended to other control problems in structural engineering.

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Experimental and numerical simulation study on mechanical properties of fiber-reinforced plastic seismic isolator

Cited by 3 publications

References 24 publications

A Review of Basic Mechanical Properties of Bamboo Scrimber Based on Small-Scale Specimens

A Review of Basic Mechanical Properties of Bamboo Scrimber Based on Small-Scale Specimens

Stewart Platform as Seismic Isolator in Water Storage Tank through Active Control in the City of Huancayo

A deep reinforcement learning framework to modify LQR for an active vibration control applied to 2D building models

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