Performance-based post-earthquake decision making for instrumented buildings

Roohi, Milad; Hernández, Eduardo

doi:10.1007/s13349-020-00416-1

Cited by 27 publications

(10 citation statements)

References 37 publications

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“…In practice, the data-driven damage quantification method may be straightforwardly implemented directly at the substructure-level (Shan et al 2020a) and element-level (Shan et al 2019) performance evaluation, depending on the hysteresis behavior data. In terms of system-level application, the estimation of restoring force and structural displacement of the local member by using global SHM measurements is essential, and may be feasible regarding the representative progress by different researchers (Limongelli 2014;Maes et al 2016;Roohi and Hernandez 2020).…”

Section: Designed Frameworkmentioning

confidence: 99%

Damage tracking and evaluation of RC columns with structural performances by using seismic monitoring data

Shan

Gong

Liu

et al. 2022

Bull Earthquake Eng

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A methodology of data-driven damage state quantification with a probability estimation for structural hysteresis of RC columns is presented in this paper. The knowledge learned from a large-volume structural behavior database is fully considered for developing monitoringoriented damage indicators, with the established relationship between data-driven damage prediction and physics-based damage state evaluation. In the present study, a database of the hysteresis behavior of 1015 RC columns with different design parameters is first generated by adopting OpenSees, with categorization according to the primary design parameter of the axial load ratio. Four limit states of seismic performance with the corresponding values of the proposed damage index are calculated to generate an informative mapping between critical damage states and damage index values. By fitting probabilistic models on the grouped data of damage indices, the exceeding probabilities of damage states corresponding to damage index values can be obtained. Illustrative examples of full-scale RC columns with cyclic loading and shaking table tests are adopted to illustrate the proposed performance-based damage evaluation process.

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Section: Designed Frameworkmentioning

confidence: 99%

Damage tracking and evaluation of RC columns with structural performances by using seismic monitoring data

Shan

Gong

Liu

et al. 2022

Bull Earthquake Eng

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“…Hemez and Farhat [18] presented an algorithm in which the effective independence method is combined with the strain energy of the structure. Roohi and Hernandez [19] developed an optimal sensor placement methodology by minimizing the uncertainty of dynamic response reconstruction. An optimization problem was formulated to select the optimal measurement matrix subject to maximum inter-story drift estimation variance bounded by a maximum allowable variance [20,21].…”

Section: Introductionmentioning

confidence: 99%

A multi-objective optimization approach to optimal sensor placement of irregular LSF structures

Mohammadgholiha

Vosoughifar

Hamedi

2021

NMCE

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In recent years, lightweight steel framed (LSF) structures are designed to resist fire, earthquakes, and storm events. This system has entered the field of construction due to advantages of light members. Based on these advantages, such a system is also used for buildings with special importance. Structural health monitoring (SHM) implements a damage detection and characterization strategy for engineering structures. In the present study, a multiobjective numerical method for optimal sensor placement based on the combination of Modal Assurance Criteria (MAC) and maximum stress has been proposed. Genetic Algorithm (GA) was employed to determine the location of sensors on the structure based on the structural dynamic response of the LSF system. To show the efficiency of the proposed method, a very large irregular museum building, which was built by using LSF system, has been considered. To improve the proposed method, dominant frequencies are identified and the number of sensors is decreased using the Fourier Transform (FT) of the ground motions time history. Results show that the proposed method can provide the optimal sensor locations and remarkably reduce the number of required sensors and also improve their optimum location.

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“…As an alternative to a wired sensors network for smart structures, wireless sensor networks (WSNs) have attracted several researchers [28]. With lower cost, an array of WSNs can effectively be used for monitoring the structural deterioration, as well as controlling vibration during an earthquake, by using artificial neural networks [29,30]. The data that is acquired using WSNs is essentially the same as the traditional counterpart that has been challenged recently due to deployment difficulties, as well as reliability issues during an extreme event.…”

Section: Introductionmentioning

confidence: 99%

Swarm-based Parallel Control of Adjacent Irregular Buildings Considering Soil–structure Interaction

Azimi

Yeznabad

2020

JSAN

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Seismic behavior of tall buildings depends upon the dynamic characteristics of the structure, as well as the base soil properties. To consider these factors, the equations of motion for a multi-story 3D building are developed to include irregularity and soil–structure interaction (SSI). Inspired by swarm intelligence in nature, a new control method, known as swarm-based parallel control (SPC), is proposed in this study to improve the seismic performance and minimize the pounding hazards, by sharing response data among the adjacent buildings at each floor level, using a wireless-sensors network (WSN). The response of individual buildings is investigated under historic earthquake loads, and the efficiencies of each different control method are compared. To verify the effectiveness of the proposed method, the numerical example of a 15-story, 3D building is modeled, and the responses are mitigated, using semi-actively controlled magnetorheological (MR) dampers employing the proposed control algorithm and fuzzy logic control (FLC), as well as the passive-on/off methods. The main discussion of this paper is the efficiency of the proposed SPC over the independent FLC during an event where one building is damaged or uncontrolled, and an active control based upon the linear quadratic regulator (LQR) is considered for the purpose of having a benchmark ideal result. Results indicate that in case of failure in the control system, as well as the damage in the structural elements, the proposed method can sense the damage in the building, and update the control forces in the other adjacent buildings, using the modified FLC, so as to avoid pounding by minimizing the responses.

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Performance-based post-earthquake decision making for instrumented buildings

Cited by 27 publications

References 37 publications

Damage tracking and evaluation of RC columns with structural performances by using seismic monitoring data

Damage tracking and evaluation of RC columns with structural performances by using seismic monitoring data

A multi-objective optimization approach to optimal sensor placement of irregular LSF structures

Swarm-based Parallel Control of Adjacent Irregular Buildings Considering Soil–structure Interaction

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