Stochastic structural control under earthquake excitations

Pnevmatikos, Nikos; Thomos, George C.

doi:10.1002/stc.1589

Cited by 19 publications

(9 citation statements)

References 23 publications

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“…Thus, it is conventionally required that the extreme response of building structures be restricted within an acceptable level [31,32]. Otherwise, associated measures should be implemented for vibration reduction and control of the dynamic systems [33][34][35][36].…”

Section: Estimation Of Structural Extreme Responsementioning

confidence: 99%

Structural Responses of a Supertall Building Subjected to a Severe Typhoon at Landfall

et al. 2020

Applied Sciences

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Typhoon Mangkhut (1822) was one of the strongest tropical cyclones that ever impacted the south coast of China in past decades. During the passage of this typhoon, the structural health monitoring (SHM) system installed on a 303 m high building in this region worked effectively, and high-quality field measurements at nine height levels of the building were collected successfully, which provides a valuable opportunity to explore the dynamic properties of the building and the associated wind effects. In this study, the typhoon wind characteristics are presented first based on in-situ measurements at two sites. Acceleration responses of the building is then investigated, and the building’s serviceability is assessed against several comfort criteria. This study further focuses on the identification of modal parameters (i.e., natural frequency, damping ratio, and modal shape) via two methods: stochastic subspace identification (SSI) method and a method based on combined use of spectral analysis and random decrement technique (RDT). The good agreement between the two results demonstrates the effectiveness and the accuracy of the adopted methods. The obtained results are further compared with the stipulations in several technical codes as well as simulation results via finite element method to examine their performances in this real case. The amplitude dependence of natural frequencies and damping ratios of the studied building are also stressed.

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Section: Estimation Of Structural Extreme Responsementioning

confidence: 99%

Structural Responses of a Supertall Building Subjected to a Severe Typhoon at Landfall

et al. 2020

Applied Sciences

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“…Peng, Ghanem, and Li () have attempted a generalized formulation for stochastic optimal control of structures. Pnevmatikos and Thomos () present a stochastic control approach for smart structures under seismic motions, in which the influences of random variables (such as loads and stiffness) for the structural responses are considered by using a modified pole placement algorithm, and structural responses are calculated by using the Monte Carlo method. Tubaldi and Kougioumtzoglou () present an approximate analytical technique to investigate the nonstationary stochastic response characteristics of an hysteretic single DOF system with viscous dampers under random external excitations, in which a stochastic averaging scheme is employed to obtain the nonlinear stochastic dynamic equations of motion.…”

Section: Probabilistic Control Algorithmsmentioning

confidence: 99%

Control methodologies for vibration control of smart civil and mechanical structures

Adeli

2018

Expert Systems

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Artificial intelligence and expert system remains a key technology in the 21st century. Using active controllers, a structure can adaptively adjust its behaviour during dynamic loads. Such structures with self‐modifying capabilities are referred to as intelligent or smart structures. Smart structure technology has the potential to be a game changer in the structural engineering field. It promises to have enormous consequences in terms of preventing loss of life and damage to structure and their content especially for large structures with hundreds or thousands of components. A key element in successful implementation of smart active control technology is an effective control algorithm to compute the magnitudes of actual forces to be applied to the structure. In this paper, an overview of main active control methodologies for vibration control of smart civil and mechanical structures subjected to external dynamic loads is presented. The advantages and the disadvantages of different control algorithms are discussed. Finally, new trends in control algorithm research are pointed out including multiparadigm strategies, decentralized control, application of deep neural network machine learning techniques, control design for sustainability, and unification of the two fields of structural health monitoring and vibration control.

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“…However, a variation of these initial uncertain parameters can influence the variability of the structural behavior. Structural optimization usually uses a deterministic approach that does not consider the effects of the associated uncertainty [5][6][7][8][9][10][11][12][13]. This means that the structure has an optimum behavior only under the conditions initially defined, and the response can vary significantly when the values differ from the design values [14,15].…”

Section: Introductionmentioning

confidence: 99%

Robust Design Optimization for Low-Cost Concrete Box-Girder Bridge

2020

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The design of a structure is generally carried out according to a deterministic approach. However, all structural problems have associated initial uncertain parameters that can differ from the design value. This becomes important when the goal is to reach optimized structures, as a small variation of these initial uncertain parameters can have a big influence on the structural behavior. The objective of robust design optimization is to obtain an optimum design with the lowest possible variation of the objective functions. For this purpose, a probabilistic optimization is necessary to obtain the statistical parameters that represent the mean value and variation of the objective function considered. However, one of the disadvantages of the optimal robust design is its high computational cost. In this paper, robust design optimization is applied to design a continuous prestressed concrete box-girder pedestrian bridge that is optimum in terms of its cost and robust in terms of structural stability. Furthermore, Latin hypercube sampling and the kriging metamodel are used to deal with the high computational cost. Results show that the main variables that control the structural behavior are the depth of the cross-section and compressive strength of the concrete and that a compromise solution between the optimal cost and the robustness of the design can be reached.

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Stochastic structural control under earthquake excitations

Cited by 19 publications

References 23 publications

Structural Responses of a Supertall Building Subjected to a Severe Typhoon at Landfall

Structural Responses of a Supertall Building Subjected to a Severe Typhoon at Landfall

Control methodologies for vibration control of smart civil and mechanical structures

Robust Design Optimization for Low-Cost Concrete Box-Girder Bridge

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