Period elongation-based framework for operative assessment of the variation of seismic vulnerability of reinforced concrete buildings during aftershock sequences

Trevlopoulos, Konstantinos; Guéguen, Philippe

doi:10.1016/j.soildyn.2016.02.009

Cited by 39 publications

(21 citation statements)

References 34 publications

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“…In terms of the safety of structures and infrastructures, physical parameters related to the dynamic response of the structure, considered as an accurate, physical proxy of structural health, can be introduced into the decision chain. Recently, Trevlopoulos and Guéguen [32] proposed an MCbased model coupled with the degradation of frequency for assessing the time evolution of probabilistic fragility curves of existing buildings during aftershock sequences.…”

Section: The Traffic Light Conceptmentioning

confidence: 99%

“…Two terms must be considered: (1) the short-term, corresponding to a fast evolving situation which might be caused by an extreme event, such as an earthquake, and being complementary to visual inspection; (2) the long-term, corresponding to the continuous ageing of the civil engineering structures and related to observations falling outside the expected values for several hours/days. Several authors have suggested correlations between European Macroseismic Scale damage grades [41] or the immediate redamber-green classification of structures and the modal structural frequency drop observed after an earthquake (e.g., [32,38,39]). e results are summarized in Figure 7.…”

Section: The Traffic Light Conceptmentioning

confidence: 99%

“…e results are summarized in Figure 7. Dunand et al [38] and Vidal et al [39] performed frequency measurements in a large number of buildings after the Boumerdès (2003, Algeria) and Lorca (2012, Spain) earthquakes, respectively, while Trevlopoulos and Guéguen [32] used empirical thresholds integrated into a decision-making process during an aftershock sequence.…”

Section: The Traffic Light Conceptmentioning

confidence: 99%

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Consideration of the Effects of Air Temperature on Structural Health Monitoring through Traffic Light‐Based Decision‐Making Tools

Guéguen

Tiganescu

2018

Shock and Vibration

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The real-time analysis of a structure’s integrity associated with a process to estimate damage levels improves the safety of people and assets and reduces the economic losses associated with interrupted production or operation of the structure. The appearance of damage in a building changes its dynamic response (frequency, damping, and/or modal shape), and one of the most effective methods for the continuous assessment of integrity is based on the use of ambient vibrations. However, although resonance frequency can be used as an indicator of change, misinterpretation is possible since frequency is affected not only by the occurrence of damage but also by certain operating conditions and particularly certain atmospheric conditions. In this study, after analyzing the correlation of resonance frequency values with temperature for one building, we use the data mining method called “association rule learning” (ARL) to predict future frequencies according to temperature measurements. We then propose an anomaly interpretation strategy using the “traffic light” method.

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Section: The Traffic Light Conceptmentioning

confidence: 99%

Section: The Traffic Light Conceptmentioning

confidence: 99%

Section: The Traffic Light Conceptmentioning

confidence: 99%

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Consideration of the Effects of Air Temperature on Structural Health Monitoring through Traffic Light‐Based Decision‐Making Tools

Guéguen

Tiganescu

2018

Shock and Vibration

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“…In specific, the IM value is a sample from a random variable with median and standard deviation given by the GMPE for the seismic event. The fragility curves of the damaged and undamaged building models are then used to compute the elements of the Markov chain transition matrices [51,52]. The probability of exceedance of each damage threshold is computed using the fragility curves of the building models in the considered damaged states (numbered 1 to m) and for IM values corresponding to the events of the aftershock sequence.…”

Section: Damage-state Probabilitymentioning

confidence: 99%

Forecasting Time-Variable Earthquake Risk for Reinforced Concrete Buildings During Aftershock Sequences Based on Operational Earthquake Forecasting and Resonance Period Elongation

Trevlopoulos¹,

Guéguen²,

Helmstetter³

et al. 2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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The probability of a reinforced concrete building to sustain cumulative damage during afterschock sequences is a key issue for crisis management. Assessments of time-variant probabilities of damage states are made herein for reinforced concrete building models the city of Thessaloniki, Greece, in the case of a mainshock scenario. The elongation of the first eigenperiod of the building is used as the engineering demand parameter in the computation of the fragility curves for the building models. Period elongation is selected, as it is readily available in the case of buildings with permanent monitoring systems, which are part of a critical infrastructure, and it may be used complementary to post-earthquake building inspection in order to assess earthquake damage. The increase of the vulnerability of the buildings with time due to potential earthquake damage accumulation is modeled with a probabilistic approach, which is based on the Markov chain. During the aftershock sequences the probability to exceed period elongation thresholds accumulates. Additional risk due to aftershocks as a function of time is estimated and the developed framework is based on the traffic-light concept (red-orange-green) for building-tagging with respect to seismic risk to support earthquake risk management in the course of aftershock sequences.

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“…This framework involves probabilistic updating using incomplete information from sensors (on structures and in a seismic network) and inspection.Özer and Soyöz (2013) assessed the residual capacity of earthquake-damaged reinforced-concrete bridge columns through updated fragility curves and pointed out the importance of structural identification for residual-capacity estimation. Trevlopoulos and Guéguen (2016) proposed an operational forecasting of vulnerability through a sequence of aftershocks based on measured period elongation. Beside these contributions, few research applications on structural identification of damaged buildings to predict future behaviour have been reported.…”

Section: Introductionmentioning

confidence: 99%

Measurement-based support for post-earthquake assessment of buildings

Reuland

Lestuzzi

Smith

2019

Structure and Infrastructure Engineering

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After a damaging earthquake, assessment of the residual seismic capacity is required for large parts of the building stock. Increased vulnerability of structures together with the threat of immediate aftershocks call for rapid and objective decision making. Structural identification has the potential to reduce parameter-value uncertainties of physics-based models through interpreting measurement data. Significant amounts of uncertainty are associated with the non-linear behaviour of structures during extreme events such as earthquakes. Therefore, a structural identification methodology that accommodates multiple sources of systematic modelling uncertainties is used. Error-domain model falsification (EDMF) enables structural identification through combining damage grades observed by visual inspection with fundamental frequencies that are derived from ambient vibrations. Parametric uncertainties of a hysteretic model are reduced with the two information sources in order to extrapolate the vulnerability of the building regarding future earthquakes. The applicability of the methodology is shown using measurements made on a mixed reinforced-concrete unreinforced-masonry building tested on a shaking table. Based on nonlinear timehistory analyses involving single-degree-of-freedom models, EDMF leads to more precise, yet robust, vulnerability predictions of earthquake-damaged buildings when compared with prediction ranges that are obtained without data interpretation.

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Period elongation-based framework for operative assessment of the variation of seismic vulnerability of reinforced concrete buildings during aftershock sequences

Cited by 39 publications

References 34 publications

Consideration of the Effects of Air Temperature on Structural Health Monitoring through Traffic Light‐Based Decision‐Making Tools

Consideration of the Effects of Air Temperature on Structural Health Monitoring through Traffic Light‐Based Decision‐Making Tools

Forecasting Time-Variable Earthquake Risk for Reinforced Concrete Buildings During Aftershock Sequences Based on Operational Earthquake Forecasting and Resonance Period Elongation

Measurement-based support for post-earthquake assessment of buildings

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