Journal: Earthquake Spectra

Abbreviation

Earthq. Spectra

Publisher

EERI

Journal Volumes

ISSN

8755-2930
1944-8201

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Publications1 - 10 of 15
  • Seismic Performance Evaluation of Intermediate Moment Frames with Reduced Beam Section and Bolted Web Connections
    Item type: Journal Article
    Han, Sang Whan; Moon, Ki Hoon; Hwang, Seong-Hoon; et al. (2015)
    Earthquake Spectra
  • A Framework for Linking Community-Resilience Goals to Specific Performance Targets for the Built Environment
    Item type: Journal Article
    Mieler, Michael; Stojadinovic, Bozidar; Budnitz, Robert; et al. (2015)
    Earthquake Spectra
  • Demonstration of a Practical Method for Seismic Performance Assessment of Structural Systems
    Item type: Journal Article
    Yang, T.Y.; Stojadinovic, Bozidar; Moehle, Jack (2012)
    Earthquake Spectra
    Performance‐based earthquake engineering aims to describe the seismic performance of a structure using metrics that are of immediate use to both engineers and stakeholders. A rigorous yet practical implementation of performance‐based earthquake engineering methodology is used to compare the seismic performance of two steel, concentrically braced structural systems, an inverted‐V‐braced frame and a suspended zipper‐braced frame. The principal difference between these two structural systems is the design approach used to transfer the unbalanced forces when the braces buckle. A probabilistic seismic performance comparison for a three‐story office building located in Berkeley, California designed using these two structural systems is presented. The results indicate the suspended zipper‐braced frame has lower expected repair cost under different levels of earthquake hazards and is 25% lighter than the corresponding capacity‐designed inverted‐V‐braced frame.
  • Selection of Ground Motion Prediction Equations for the Global Earthquake Model
    Item type: Journal Article
    Stewart, Jonathan P.; Douglas, John; Javanbarg, Mohammad; et al. (2015)
    Earthquake Spectra
  • Simulating Maximum and Residual Displacements of RC Structures
    Item type: Journal Article
    Yazgan, Ufuk; Dazio, Alessandro (2011)
    Earthquake Spectra
    Estimation of likely global and local response measures plays an important role in seismic performance assessment. The capabilities and limitations of beam‐column element modeling strategies in predicting the dynamic nonlinear flexural response of RC models are investigated in this study. For this purpose, 12 shake table tests are numerically reproduced. Correlations of the predicted deformations with the measured ones are evaluated. The results show that maximum displacements can be estimated with sufficient accuracy if the adopted hysteresis model takes into account stiffness degradation. However, accurate estimation of the residual displacements is found to be difficult to achieve. The results suggest that the assumed small‐cycle behavior has a strong influence on the estimated residual displacements. Fiber‐section models are found to provide relatively more accurate estimates of the residual displacements than modified Takeda hysteretic and bilinear models. A companion paper, Part II: Sensitivity, presents the sensitivity of the simulated displacements to a set of the model parameters and idealizations.
  • A High- and Low-Noise Model for High-Quality Strong-Motion Accelerometer Stations
    Item type: Journal Article
    Cauzzi, Carlo; Clinton, John Francis (2013)
    Earthquake Spectra
  • Simulating Maximum and Residual Displacements of RC Structures
    Item type: Journal Article
    Yazgan, Ufuk; Dazio, Alessandro (2011)
    Earthquake Spectra
  • A Framework to Evaluate the Benefit of Seismic Upgrading
    Item type: Journal Article
    Galanis, Panagiotis; Sycheva, Anastasia; Mimra, Wanda; et al. (2018)
    Earthquake Spectra
  • Improving Post-Earthquake Building Safety Evaluation using the 2015 Gorkha Earthquake Rapid Visual Damage Assessment Data
    Item type: Journal Article
    Didier, Max; Baumberger, Salome; Tobler, Roman; et al. (2017)
    Earthquake Spectra
  • Rapid earthquake loss assessment based on machine learning and representative sampling
    Item type: Journal Article
    Stojadinovic, Zoran; Kovačević, Miloš; Marinković, Dejan; et al. (2022)
    Earthquake Spectra
    This article proposes a new framework for rapid earthquake loss assessment based on a machine learning damage classification model and a representative sampling algorithm. A random forest classification model predicts a damage probability distribution that, combined with an expert-defined repair cost matrix, enables the calculation of the expected repair costs for each building and, in aggregate, of direct losses in the earthquake-affected area. The proposed building representation does not include explicit information about the earthquake and the soil type. Instead, such information is implicitly contained in the spatial distribution of damage. To capture this distribution, a sampling algorithm, based on K-means clustering, is used to select a minimal number of buildings that represent the area of interest in terms of its seismic risk, independently of future earthquakes. To observe damage states in the representative set after an earthquake, the proposed framework utilizes a local network of trained damage assessors. The model is updated after each damage observation cycle, thus increasing the accuracy of the current loss assessment. The proposed framework is exemplified using the 2010 Kraljevo, Serbia earthquake dataset.
Publications1 - 10 of 15