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MULTI-AGENT REPLICATOR CONTROL METHODOLOGIES FOR SUSTAINABLE VIBRATION CONTROL OF SMART BUILDING AND BRIDGE STRUCTURES

Gutierrez Soto, Mariantonieta
http://orcid.org/0000-0003-2408-0351
http://rave.ohiolink.edu/etdc/view?acc_num=osu1494249419696286

Abstract Details

2017, Doctor of Philosophy, Ohio State University, Civil Engineering.
The protection of large infrastructure is a critical and complex issue facing civil engineers. Earthquakes are especially unpredictable and pose a great threat to critical infrastructure that directly affect people’s lives. To tackle this problem, the latest innovation is the development of intelligent structures. Intelligent structures have technology installed to dampen the movement caused by forces of nature. The goal is to develop a new generation of smart structures equipped with sensors and control devices that can react in real-time during an earthquake. Structural control methods have been the subject of significant research in the past 20 years but still face limitations. This investigation consists of four parts. In Part I, four ideas are introduced for vibration control of smart structures: decentralized control, agent-based modeling, replicator dynamics from evolutionary game theory, and energy minimization. Two new control algorithms are presented: 1) a single-agent Centralized Replicator Controller (CRC) and a decentralized Multi-Agent Replicator Controller (MARC) for real-time vibration control of smart structures. The use of agents and a decentralized approach enhances the robustness of the entire vibration control system. The proposed control methodologies are applied to vibration control of a 3-story steel frame and a 20-story steel benchmark structure subjected to two sets of seismic loadings: historic earthquake and artificial accelerograms and compared with the corresponding centralized and decentralized conventional control algorithms. In Part II, the aforementioned control algorithms are integrated with a multi-objective optimization algorithm in order to find Pareto optimal values for replicator dynamics parameters with the goal of achieving maximum structural performance with minimum energy consumption. The patented neural dynamic model of Adeli and Park is used to solve the multi-objective optimization problem. Vibration control of irregular structures subjected to earthquake excitations is a complex civil engineering problem with associated torsional vibrations. In Part III, the replicator dynamics concepts are adapted for active/semi-active control of multi-story irregular base-isolated structures. The control algorithm is evaluated using a 3D base-isolated benchmark structure subjected to major historical earthquakes. In Part IV, the idea of combining the conventional base isolation with an active or semi-active control system to create a smart bridge structure is investigated. A control algorithm based on game theory and replicator dynamics is employed for hybrid vibration control of highway bridge structures equipped with both a passive isolation system and semi-active control devices subjected to earthquake loadings. The efficacy of the model is demonstrated by application to a benchmark example based on interstate I-5/91 overcrossing highway bridge in southern California subjected to near-field historical earthquake excitations. Substantial reduction in both mid-span displacement and deck acceleration is achieved compared with the conventional base-isolated bridge.
Hojjat Adeli (Advisor)
Ethan Kubatko (Committee Member)
Kevin Passino (Committee Member)
Daniel Pradel (Committee Member)
254 p.
Civil Engineering
smart structures, vibration control, earthquake, resilience, decentralized, agent, multi-agent, replicator dynamics, game theory, bridges, base isolation, benchmark, MR damper, semi-active, structural dynamics, modeling, high performance, computing

Recommended Citations

Citations

  • Gutierrez Soto, M. (2017). MULTI-AGENT REPLICATOR CONTROL METHODOLOGIES FOR SUSTAINABLE VIBRATION CONTROL OF SMART BUILDING AND BRIDGE STRUCTURES [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1494249419696286

    APA Style (7th edition)

  • Gutierrez Soto, Mariantonieta. MULTI-AGENT REPLICATOR CONTROL METHODOLOGIES FOR SUSTAINABLE VIBRATION CONTROL OF SMART BUILDING AND BRIDGE STRUCTURES. 2017. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1494249419696286.

    MLA Style (8th edition)

  • Gutierrez Soto, Mariantonieta. "MULTI-AGENT REPLICATOR CONTROL METHODOLOGIES FOR SUSTAINABLE VIBRATION CONTROL OF SMART BUILDING AND BRIDGE STRUCTURES." Doctoral dissertation, Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1494249419696286

    Chicago Manual of Style (17th edition)

osu1494249419696286
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© 2017, some rights reserved.Creative Commons License MULTI-AGENT REPLICATOR CONTROL METHODOLOGIES FOR SUSTAINABLE VIBRATION CONTROL OF SMART BUILDING AND BRIDGE STRUCTURES by Mariantonieta Gutierrez Soto is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.