Reconstructing Element-by-Element Dissipated Hysteretic Energy in Instrumented Buildings: Application to the Van Nuys Hotel Testbed

Roohi, Milad; Hernández, Eduardo; Rosowsky, David V.

doi:10.1061/(asce)em.1943-7889.0001864

Cited by 19 publications

(9 citation statements)

References 34 publications

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“…Therefore, these building post-earthquake assessment results are consistent with the building's actual performance and post-earthquake inspection reports following the Big Bear and Northridge earthquakes. In [25], authors have shown that if the objective is high-resolution storyor element-level damage detection and localization, other damage sensitive response parameters such as element-level dissipated energy, demand-to-capacity ratios, and ductility demand can provide more accurate assessment results compared to inter-story drifts. However, for the application of interest in this paper, the applicability of the proposed framework is validated for rapid performance-based post-earthquake reoccupancy classification and decision-making in the context of a real-world building that experienced severe structural damage during sequential seismic events.…”

Section: Post-earthquake Re-occupancy Classification and Decision-makingmentioning

confidence: 99%

Performance-based Post-earthquake Decision-making for Instrumented Buildings

Roohi¹,

Hernández²

2020

Preprint

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This paper presents a framework for decisionmaking regarding post-earthquake assessment of instrumented buildings in a manner consistent with performancebased design criteria. This framework is achieved by simultaneously combining and advancing existing knowledge from seismic structural health monitoring and performance-based earthquake engineering paradigms and consists of 1) optimal sensor placement, 2) dynamic response reconstruction, 3) damage estimation, and 4) performance-assessment and decision-making. In particular, the main objective is to reconstruct interstory drifts with a probabilistic measure of exceeding performance-based acceptance limits and determining the post-earthquake re-occupancy classification of the instrumented building of interest. Since the proposed framework is probabilistic, the outcome can be used to obtain the probability of losses based on the defined decision variables and be integrated into a risk-based decision-making process by city officials, building owners, and emergency managers. The framework is illustrated using data from the Van Nuys hotel testbed, a seven story reinforced concrete building instrumented by the California Strong Motion Instrumentation Program (Station 24386).

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Section: Post-earthquake Re-occupancy Classification and Decision-makingmentioning

confidence: 99%

Performance-based Post-earthquake Decision-making for Instrumented Buildings

Roohi¹,

Hernández²

2020

Preprint

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“…On the other hand, a series of classical damage indices (DIs) have also been proposed and utilized for decades, such as energy-based DIs (Krätzig et al 1989), Park-Ang model (Park and Ang 1985), and interstory drift (Roufaiel 1983). Although most have been proven to be quite efficient theoretically or have been validated through simulation or FEM modeling, rapid post-earthquake assessment by employing mechanics-based DIs should be further addressed with successful real-world implementations (Roohi et al 2021b).…”

Section: Introductionmentioning

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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“…A modified nonlinear observer, i.e., extended model-based observer (EMBO), has also been introduced to estimate states in hysteretic nonlinear structural systems 39 by modifying nonlinear finite element predictor model. Validated on large-scale structures, methods based on modification of the state model, 39,40 to estimate states and identify structural damage, have shown potential in SHM of real-life structure. However, since the methods are frequency-based, they may not be suitable for real-time SHM application.…”

Section: Introductionmentioning

confidence: 99%

Strain‐based joint damage estimation approach robust to unknown non‐stationary input force

Aswal

Sen

Mevel

2022

Structural Contr & Hlth

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To avert catastrophic failure in the structures, joints are typically designed to yield, but not fail, so that energy accumulated under cyclic loading is dissipated. Eventually, this renders the structural joints to be characteristically weaker and more vulnerable than the members. Yet, damage detection research mostly assumes damage in the members only. This article proposes a model-based predictor-corrector algorithm that uses an interacting filtering approach to efficiently estimate joint damage in the presence of input and measurement uncertainties. For the predictor model, a novel straindisplacement relationship specific to semi-rigid frames is developed to map nodal displacements to corresponding strain measurements. The proposed estimation method embeds robustness against non-stationary input (e.g., seismic excitation) in the state filter, itself. For this, an output injection technique is integrated within the state filter. The modified state filter (robust Kalman filter) runs within an enveloping parameter filter (particle filter) to simultaneously estimate the system states and joint damage parameters, respectively, using the response signal. Strain has been adopted as measurement since it is frame independent (beneficial for seismic activity) and also comparatively cheaper to use. Numerical studies are performed on a two-dimensional (2-D) three-story three-bay shear frame for different joint damage locations and severities. The sensitivity and the stability of the proposed approach are further investigated. Experimental validation of the proposed algorithm is carried out on a 2-D steel frame.

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Reconstructing Element-by-Element Dissipated Hysteretic Energy in Instrumented Buildings: Application to the Van Nuys Hotel Testbed

Cited by 19 publications

References 34 publications

Performance-based Post-earthquake Decision-making for Instrumented Buildings

Performance-based Post-earthquake Decision-making for Instrumented Buildings

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

Strain‐based joint damage estimation approach robust to unknown non‐stationary input force

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