Load balancing and neural dynamic model to optimize replicator dynamics controllers for vibration reduction of highway bridge structures

Hormozabad, Sajad Javadinasab; Soto, Mariantonieta Gutierrez

doi:10.1016/j.engappai.2020.104138

Cited by 16 publications

(2 citation statements)

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“…Also, research on using fuzzy theory in active control of structure’s dynamic response was done (Battaini et al, 1998; Tachibana and Inoue, 1992; Teng et al, 2000). More recent applications of fuzzy systems in Civil engineering are in modeling Neuro-fuzzy hybrid semiactive base isolation (Kim et al, 2006), active control of high rise buildings (Guclu and Yazici, 2008; Pourzeynali et al 2007), optimizing TMD parameters (Ramezani et al 2017), optimize the position of a mobile TMD on an inclined sagged cable (Salari et al, 2019), and vibration reduction of highway bridge structures (Javadinasab Hormozabad and Gutierrez Soto, 2021).…”

Section: Fuzzy Logic Controlmentioning

confidence: 99%

An innovative semi-active pendulum tuned mass damper and its application in vibration control

Sadatieh

Ghorbani‐Tanha

2022

Journal of Vibration and Control

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An innovative Semi-Active Pendulum Tuned Mass Damper (SAPTMD) with variable frequency is introduced in this paper. The SAPTMD consists of two identical pendulum systems, each consisting of a pendulum and two springs attached to the pendulum mass. The pendulums are mounted on two boxes that can rotate symmetrically around the horizontal shafts that pass through them. Due to the change in inclination of the pendulum systems and, consequently, the orientation of the oscillating pendulums, the frequency of the proposed system can change within a predefined range. Besides, the need for less height for installation is another advantage of the SAPTMD over the conventional pendulum tuned mass dampers. In order to show the efficiency of the SAPTMD, it is attached to a single degree of freedom primary system excited similar to excitation due to an unbalanced rotating machinery during its start-up period. The SAPTMD’s performance is compared with a classical tuned mass damper. As it is shown, the response of the primary system is reduced noticeably. Furthermore, the performance of the system is improved by utilizing a fuzzy Proportional-Integral-Derivative (PID) controller.

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Section: Fuzzy Logic Controlmentioning

confidence: 99%

An innovative semi-active pendulum tuned mass damper and its application in vibration control

Sadatieh

Ghorbani‐Tanha

2022

Journal of Vibration and Control

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“…Recently, artificial intelligence and game theory controllers were developed for high-performance mitigation. Their effectiveness in reducing vibrations was evaluated for highrise buildings in Gutierrez Soto and Adeli (2017) and highway bridges in Javadinasab Hormozabad and Gutierrez Soto (2021). While Zambrano et al (2021) used these benchmark problems to study the vulnerability of structural control systems to cyber attacks.…”

Section: Introductionmentioning

confidence: 99%

Conditional adaptive time series compensation and control design for multi-axial real-time hybrid simulation

Aguila,

Li,

Palacio-Betancur

et al. 2024

Front. Built Environ.

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The structural performance of critical infrastructure during extreme events requires testing to understand the complex dynamics. Shake table testing of buildings to evaluate structural integrity is expensive and requires special facilities that can allow for the construction of large-scale test specimens. An attractive alternative is a cyber-physical testing technique known as Real-Time Hybrid Simulation (RTHS), where a large-scale structure is decomposed into physical and numerical substructures. A transfer system creates the interface between physical and numerical substructures. The challenge occurs when using multiple actuators connected with a coupler (i.e., transfer system) to create translation and rotation at the interface. Tracking control strategies aim to reduce time delay errors to create the desired displacements that account for the complex dynamics. This paper proposes two adaptive control methodologies for multi-axial real-time hybrid simulations that improve capabilities for a higher degree of coupling, boundary, complexity, and noise reduction. One control method integrates the feedback proportional derivative integrator (PID) control with a conditional adaptive time series (CATS) compensation and inverse decoupler. The second proposed control method is based on a coupled Model Predictive Control (MPC) with the CATS compensation. The performance of the proposed methods is evaluated using the virtual multi-axial benchmark control problem consisting of a steel frame as the experimental substructure. The transfer system consists of a coupler that connects two hydraulic actuators generating the translation and rotation acting at the joint. Through sensitivity analysis, parameters were tuned for the decoupler components, CATS compensation, and the control design for PID, LQG, and MPC. Comparative results among different control methods are evaluated based on performance criteria, including critical factors such as reduction in the time delay of bothactuators. The research findings in this paper improve the tracking control systems for the multi-axial RTHS of building structures subjected to earthquake loading. It provides insight into the robustness of the proposed tracking control methods in addressing uncertainty and improves the understanding of multiple output controllers that could be used in future cyber-physical testing of civil infrastructure subjected to natural hazards.

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Review of Recent Advances on AI Applications in Civil Engineering

Aydın,

Bekdaş,

Nigdeli

2024

Springer Tracts in Nature-Inspired Computing

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Load balancing and neural dynamic model to optimize replicator dynamics controllers for vibration reduction of highway bridge structures

Cited by 16 publications

References 50 publications

An innovative semi-active pendulum tuned mass damper and its application in vibration control

An innovative semi-active pendulum tuned mass damper and its application in vibration control

Conditional adaptive time series compensation and control design for multi-axial real-time hybrid simulation

Review of Recent Advances on AI Applications in Civil Engineering

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