Fuzzy supervisory control of earthquake-excited cable-stayed bridges

Park, Kwan-Soon; Koh, Hyun‐Moo; Ok, Seung-Yong; Seo, Chung-Won

doi:10.1016/j.engstruct.2005.02.007

Cited by 34 publications

(16 citation statements)

References 18 publications

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“…He expounded that a comprehensive risk analysis can provide a project contractor with a more rational basis on which to make a decision. The main risk to bridges is seismic activity [96,114,116,118]. The authors evaluated this type of risk to provide a tool for assisting with making decisions.…”

Section: Operation and Maintenancementioning

confidence: 99%

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

et al. 2016

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Abstract:The construction of bridges has been necessary for societies since ancient times, when the communication between and within towns, cities or communities was established. Until recently, the economic factor has been the only one considered in the decision-making of any type of construction process for bridges. However, nowadays, the objective should not be just the construction of bridges, but of sustainable bridges. Economic, social and environmental factors, which form the three pillars of sustainability, have been recently added. These three factors usually have conflicting perspectives. The decision-making process allows the conversion of a judgment into a rational procedure to reach a compromise solution. The aim of this paper is to review different methods and sustainable criteria used for decision-making at each life-cycle phase of a bridge, from design to recycling or demolition. This paper examines 77 journal articles for which different methods have been used. The most used methods are briefly described. In addition, a statistical study was carried out on the Multiple Attribute Decision-making papers reviewed.

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Section: Operation and Maintenancementioning

confidence: 99%

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

et al. 2016

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“…Many studies evaluate the effect of the dynamic forces on bridges [8][9][10][11][12][13], the overall structural integrity [14][15][16][17][18] and the modal characteristics of the structures [19][20][21][22][23]; however, few works related to the cables or to the cable-bridge connecting elements have been published. In general, more research is required to analyze specific problems on the cables and connecting elements due fatigue damage, and to development intelligent damping systems to reduce the dynamic fatigue effects [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Analysis for the optimal location of cable damping systems on stayed bridges

et al. 2007

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Computational models are increasingly being used for the dynamic analysis of structures with nonlinear or uncertain behavior, such as cables in stayed bridges, which nowadays are progressively more used as an alternative for long span and slim structures. In this work, a 3D nonlinear model is described to evaluate the wind dynamic effects on cables for this type of bridges under different scenarios, but also for health monitoring and structural simulation to guarantee performance, evaluate load capacity and estimate life prediction. Fatigue is one of the most relevant and complex failure causes in highway bridges, particularly on the anchorage elements of the cables in stayed bridges; where dampers may be used to minimize the dynamic behavior of the structure and reduce fatigue damage. With this nonlinear simulation model, different damper locations and configurations are evaluated to find the optimal position. A feasibility function is used as a weighting function to take into account the damper's size and design. Analysis is particularly focused for a real cable stayed bridge in the state of Veracruz in México.Although the geometry, the forces and the stresses on cable structures are a challenge, even for structural specialists, the results from this work using the proposed 3D nonlinear model showed to be accurate for the simulation of many different wind scenarios, and damper's location and orientations. Finally, the feasibility weighting function enabled the geometrical limitations to estimate the best location of a damper system to minimize the risk for fatigue failure.

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“…Since the fuzzy supervisory control approach takes a form of a hierarchical structure as shown in Figure 1, it involves a two-step design procedure comprising design of subcontrollers and fuzzy-tuning of the pre-designed sub-controllers [2]. In this paper, LQG control method is used for the design of the sub-controllers, and then a fuzzy tuner is introduced to modulate the pre-designed static gains into time-varying dynamic gains.…”

Section: Fuzzy Supervisory Controlmentioning

confidence: 99%

“…One of the effective approaches is FSC technique which can modulate several types of well-developed controllers continuously during controlling a structure. To improve the control performance of active control system, therefore, we adopt fuzzy supervisory control method.Since the fuzzy supervisory control approach takes a form of a hierarchical structure as shown in Figure 1, it involves a two-step design procedure comprising design of subcontrollers and fuzzy-tuning of the pre-designed sub-controllers [2]. In this paper, LQG control method is used for the design of the sub-controllers, and then a fuzzy tuner is introduced to modulate the pre-designed static gains into time-varying dynamic gains.…”

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confidence: 99%

Evaluation of Robust Performance of Fuzzy Supervisory Control Technique

Park

Koh³

2005

Journal of the Earthquake Engineering Society of Korea

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This paper describes the robust performance of fuzzy supervisory control (FSC) approach for the seismic response control of cable-stayed bridges. FSC is a hybrid control method with the hierarchical structure of several sub-controllers and fuzzy supervisor. Each sub-controller is preliminarily designed to reduce the selected response of the structure only, and a fuzzy supervisor is introduced to improve the overall control performance by modulating the predesigned static gains into time-varying dynamic gains. To demonstrate the robust performance of the proposed strategy, the FSC and linear quadratic Gaussian (LQG) controller are optimally designed and their seismic performances are compared according to the variation of the bridge stiffness in the phase I benchmark control problem. The comparative results show that the FSC system can clearly guarantee the robust performance against the uncertainties of the bridge model. FUZZY SUPERVISORY CONTROLFor the active control of the structure, optimal control methods such as LQR, LQG [1], H 2 , and H ∝ are commonly used. These optimal controls specify a cost function characterized as single control gain. However, it is not easy to aggregate all the performance requirements into a single-valued cost function. Since there exist a number of operation conditions which need to be considered for the control system, a satisfactorily performing control system may not be achieved by a single gain controller. One of the effective approaches is FSC technique which can modulate several types of well-developed controllers continuously during controlling a structure. To improve the control performance of active control system, therefore, we adopt fuzzy supervisory control method.Since the fuzzy supervisory control approach takes a form of a hierarchical structure as shown in Figure 1, it involves a two-step design procedure comprising design of subcontrollers and fuzzy-tuning of the pre-designed sub-controllers [2]. In this paper, LQG control method is used for the design of the sub-controllers, and then a fuzzy tuner is introduced to modulate the pre-designed static gains into time-varying dynamic gains. The fuzzy tuner is composed of four elements, i.e., a fuzzification interface, an inference mechanism, a rule-base and a defuzzification interface, which are characterized as an input membership function, a fuzzy rule table and an output membership function. Fuzzy rule table can be illustrated graphically as a fuzzy rule surface in Figure 2. It identifies the current behavior of the structural system and reasonably determines the contribution factors of the sub-controllers in accordance with the structural response information. As a result, the fuzzy tuning process for various earthquake excitations differently modulates the sub-controllers.

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Fuzzy supervisory control of earthquake-excited cable-stayed bridges

Cited by 34 publications

References 18 publications

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

Analysis for the optimal location of cable damping systems on stayed bridges

Evaluation of Robust Performance of Fuzzy Supervisory Control Technique

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