Reliability of structures to earthquake clusters

Iervolino, Iunio; Giorgio, Massimiliano; Polidoro, Barbara

doi:10.1007/s10518-014-9679-9

Cited by 23 publications

(15 citation statements)

References 18 publications

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“…Reliability problems with formulations similar to that in Equation (3) were addressed in [4,11,12]. With respect to those studies, which consider damage increments in subsequent shocks as independent and identically distributed RVs, the one herein relaxes an assumption that may be considered strong in the structural engineering context.…”

Section: Reliability Formulation Under Damage Accumulation Hypothesismentioning

confidence: 99%

“…In a series of previous studies, stochastic modeling of damage accumulation in structures was addressed: [4,11,12]. In these works, an energy-based criterion was considered with reference to Figure 3.…”

Section: Displacement-based Damage Measuresmentioning

confidence: 99%

“…transition probability from a state to a worse one, given a specific value of earthquake intensity) times the distribution of intensity in one earthquake. Equation (12) shows how to retrieve the vulnerability term of Equation (5) from state-dependent fragility curves (at the right hand side).…”

Section: Options To Fill the Transition Matrices In One Event And In mentioning

confidence: 99%

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Markovian modeling of seismic damage accumulation

Iervolino

Giorgio²,

Chioccarelli

2015

Earthq Engng Struct Dyn

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SUMMARYAnalysis of civil structures at the scale of life-cycle requires stochastic modeling of degradation. Phenomena causing structures to degrade are typically categorized as aging and point-in-time overloads. Earthquake effects are the members of the latter category this study deals with in the framework of performance-based earthquake engineering (PBEE). The focus is structural seismic reliability, which requires modeling of the stochastic process describing damage progression, because of subsequent events, over time. The presented study explicitly addresses this issue via a Markov-chain-based approach, which is able to account for the change in seismic response of damaged structures (i.e. state-dependent seismic fragility) as well as uncertainty in occurrence and intensity of earthquakes (i.e. seismic hazard). The state-dependent vulnerability issue arises when the seismic hysteretic response is evolutionary and/or when the damage measure employed is such that the degradation increment probabilistically depends on the conditions of the structure at the time of the shock. The framework set up takes advantage also of the hypotheses of classical probabilistic seismic hazard analysis, allowing to separate the modeling of the process of occurrence of seismic shocks and the effect they produce on the structure. It is also discussed how the reliability assessment, which is in closed-form, may be virtually extended to describe a generic age-and state-dependent degradation process (e.g. including aging and/or when aftershock risk is of interest). Illustrative applications show the options to calibrate the model and its potential in the context of PBEE.

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Section: Reliability Formulation Under Damage Accumulation Hypothesismentioning

confidence: 99%

Section: Displacement-based Damage Measuresmentioning

confidence: 99%

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Markovian modeling of seismic damage accumulation

Iervolino

Giorgio²,

Chioccarelli

2015

Earthq Engng Struct Dyn

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“…It plays an important role in the theory and application of stochastic processes. At present, Poisson process has been widely applied in the fields of physics, geology, biology, medicine, astronomy, automation system, service system, the reliability theory, and so forth [17][18][19][20][21]. In terms of reliability theory, Şenol [17] proposed the Poisson process approach to determine the occurrence degree for failure mode and effect reliability analysis methodology.…”

Section: Introductionmentioning

confidence: 99%

Reliability Evaluation for the Running State of the Manufacturing System Based on Poor Information

Xia

Zhu

Liu

2016

Mathematical Problems in Engineering

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The output performance of the manufacturing system has a direct impact on the mechanical product quality. For guaranteeing product quality and production cost, many firms try to research the crucial issues on reliability of the manufacturing system with small sample data, to evaluate whether the manufacturing system is capable or not. The existing reliability methods depend on a known probability distribution or vast test data. However, the population performances of complex systems become uncertain as processing time; namely, their probability distributions are unknown, if the existing methods are still taken into account; it is ineffective. This paper proposes a novel evaluation method based on poor information to settle the problems of reliability of the running state of a manufacturing system under the condition of small sample sizes with a known or unknown probability distribution. Via grey bootstrap method, maximum entropy principle, and Poisson process, the experimental investigation on reliability evaluation for the running state of the manufacturing system shows that, under the best confidence levelP=0.95, if the reliability degree of achieving running quality isr>0.65, the intersection area between the inspection data and the intrinsic data isA(T)>0.3and the variation probability of the inspection data isPB(T)≤0.7, and the running state of the manufacturing system is reliable; otherwise, it is not reliable. And the sensitivity analysis regarding the size of the samples can show that the size of the samples has no effect on the evaluation results obtained by the evaluation method. The evaluation method proposed provides the scientific decision and suggestion for judging the running state of the manufacturing system reasonably, which is efficient, profitable, and organized.

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“…Iervolino et al (2015) present a model on life-cycle assessment considering the effect of damaging aftershocks. Using a probabilistic simulation-based framework Gidaris and Taflanidis (2015) assess the performance and optimal design of fluid viscous dampers through lifecycle criteria.…”

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confidence: 99%

Editorial for the VEESD 2013 special issue

Adam

Heuer

2015

Bull Earthquake Eng

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The Vienna Congress on Earthquake Engineering and Structural Dynamics, VEESD 2013, took place in August 2013 at the Vienna University of Technology, which is located in the Center of Vienna. This congress aimed at fostering scientific interaction among the vast community of researchers contributing to earthquake engineering, seismology, and structural dynamics in a broad sense. About 400 participants from all over the world delivering about 270 presentations of the latest achievements in these fields made this scientific event a great success.We are proud to present the VEESD 2013 special issue in the Bulletin of Earthquake Engineering. It comprises 13 contributions, which were selected on the basis of the response and feedback of both mini-symposium organizers and participants. The papers of this special issue provide new insight into the state-of-the-art of different fields in earthquake engineering based on experimental, analytical, and numerical studies as well as field observations after earthquakes, as it becomes obvious from the subsequent short summary.The first paper by Weatherill et al. (2015) illustrates the effect of the spatial variability of earthquake ground motions upon the resulting seismic loss of aggregated portfolios of heterogeneous building typologies. Iervolino et al. (2015) present a model on life-cycle assessment considering the effect of damaging aftershocks. Using a probabilistic simulation-based framework Gidaris and Taflanidis (2015) assess the performance and optimal design of fluid viscous dampers through lifecycle criteria. Tasligedik et al. (2015) propose low damage solutions for non-structural drywall partitions capable of reaching high levels of drift without loss of serviceability. Penna (2015) discusses in his contribution several aspects of the seismic response and capacity of stone masonry buildings. By the evaluation of experimental results Petry and Beyer (2015) address the horizontal in-plane

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Reliability of structures to earthquake clusters

Cited by 23 publications

References 18 publications

Markovian modeling of seismic damage accumulation

Markovian modeling of seismic damage accumulation

Reliability Evaluation for the Running State of the Manufacturing System Based on Poor Information

Editorial for the VEESD 2013 special issue

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