نتایج جستجو برای: Performance-Based Earthquake Engineering (PBEE)

تعداد نتایج: 3800526  

2005
S. Matsuki S. L. Billington J. W. Baker

A Performance-Based Earthquake Engineering (PBEE) assessment methodology is being used to study the impact of long-term material degradation on seismic performance of reinforced concrete bridges. The methodology, currently under development by the Pacific Earthquake Engineering Research Center, is being applied to an overpass with typical California highway details, and preliminary results are ...

2013

Impetus for Hybrid Simulation The desire of stakeholders to consider potential consequences as well as safety when judging alternative seismic design or retrofit plans for their structures has driven the development of performance-based earthquake engineering (PBEE). Use of PBEE, in turn, depends upon the ability to accurately assess the seismic performance of alternative designs. Physically te...

Journal: :civil engineering infrastructures journal 0
leila haj najafi ph.d. candidate, department of civil and environmental engineering, amirkabir university of technology, tehran, iran. mohsen tehranizadeh professor, department of civil and environmental engineering, amirkabir university of technology, tehran, iran.

this study attempts to answer the question of distinguishing appropriate intensity measure parameter for performance-based design or assessment, taking into account the efficiency aspect. the comprehensive comparative tables proposed in this paper could be an effective support in the decision making procedure for intensity measure selection, comprising most of the frequently utilized intensity ...

2008
S. Rezaeian A. Der Kiureghian Y. Bozorgnia

A recently developed nonstationary stochastic model of strong earthquake ground motion is described. The model employs filtering of a white-noise process, where nonstationarity is achieved by modulating the intensity and varying the filter parameters in time. The model is fitted to a target accelerogram by matching a set of statistical measures that characterize the evolution of the intensity, ...

2003
Keith A. Porter

Various analytical approaches to performance-based earthquake engineering are in development. This paper summarizes the approach being pursued by the Pacific Earthquake Engineering Research (PEER) Center. It works in four stages: hazard analysis, structural analysis, damage analysis, and loss analysis. In the hazard analysis, one evaluates the seismic hazard at the facility site, producing samp...

Journal: :Engineering Structures 2021

Performance-based earthquake engineering (PBEE) provides a robust alternative to traditional design. PBEE enables engineers estimate expected damage, repair costs, and economic losses due downtime for candidate design, potentially leading novel new designs or retrofit solutions. With the increasing application of light-frame structural systems, such as cold-formed steel (CFS) panels, in residen...

Journal: :Buildings 2021

Comprehensive methodologies based on a fully probabilistic approach (i.e., the performance-based earthquake engineering approach, PBEE), represent refined and accurate tool for seismic performance assessment of structures. However, those procedures are suitable building-specific evaluations, appearing extremely time-consuming if applied at urban scale. In proposed contribution, simplified loss ...

Journal: :Earthquake Spectra 2022

The performance-based earthquake engineering (PBEE) methodology allows designers to deaggregate expected seismic losses in a building component level. This deaggregated information provides the opportunity tailor upgrade strategies individual structures based on sources of losses. However, optimization an strategy becomes difficult because relationship between structure and its nonstructural co...

Journal: :Earthquake Engineering & Structural Dynamics 2023

Abstract A Bayesian framework to characterize ground motions even in the presence of missing data is developed. This approach features combination seismological knowledge ( a priori ) with empirical observations (even incomplete) via inference. At its core neural network model that probabilistically learns temporal patterns from motion data. Uncertainties are accounted for throughout framework....

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