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Analytical fragility assessment using unscaled ground motion records

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This article is published in Earthquake Engineering & Structural Dynamics.The article was published on 2017-12-01. It has received 180 citations till now. The article focuses on the topics: Fragility.

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On the application of machine learning techniques to derive seismic fragility curves

TL;DR: The statistical results demonstrate that among applied methods, random forest and quadratic discriminant analysis are, respectively, preferable with the imbalanced and balanced datasets since they show the highest efficiency in predicting the structural responses.
Journal ArticleDOI

Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm

TL;DR: An intelligent approach is presented for FM classification and bearing capacity prediction of RC columns based on the ensemble machine learning techniques and shows that ensemble learning (especially AdaBoost) has better performance than single learning.
Journal ArticleDOI

Seismic vulnerability assessment of tall pier bridges under mainshock-aftershock-like earthquake sequences using vector-valued intensity measure

TL;DR: In this article , the authors investigated the seismic fragility and the associated direct financial losses of tall pier bridges subjected to MA sequences using the vector-based intensity measure considering both main-and after-shocks.
Journal ArticleDOI

Cloud-IDA-MSA Conversion of Fragility Curves for Efficient and High-Fidelity Resilience Assessment

TL;DR: This work states that seismic fragility functions play a fundamental role for quantifying the seismic resilience in performance-based earthquake engineering framework and proposes three main approaches for perfor...
References
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Journal ArticleDOI

Equation of state calculations by fast computing machines

TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Journal ArticleDOI

Monte Carlo Sampling Methods Using Markov Chains and Their Applications

TL;DR: A generalization of the sampling method introduced by Metropolis et al. as mentioned in this paper is presented along with an exposition of the relevant theory, techniques of application and methods and difficulties of assessing the error in Monte Carlo estimates.
Journal ArticleDOI

Incremental dynamic analysis

TL;DR: Incremental dynamic analysis (IDA) is a parametric analysis method that has recently emerged in several different forms to estimate more thoroughly structural performance under seismic loads as mentioned in this paper, which involves subjecting a structural model to one or more ground motion record(s), each scaled to multiple levels of intensity, thus producing one (or more) curve(s) of response parameterized versus intensity level.

"building code requirements for structural concrete (aci 318-11) and commentary"

TL;DR: The Building Code Requirements for Structural Concrete (Code) as mentioned in this paper covers the materials, design, and construction of structural concrete used in buildings and where applicable in nonbuilding structures, including the strength evaluation of existing concrete structures.
Book

Structural Reliability Methods

TL;DR: Partial Safety Factor Method Probabilistic Information Simple Reliability Index Geometricreliability Index Generalized Reliability index Transformation Sensitivity Analysis Monte Carlo Methods Load Combinations Statistical and Model Uncertainty Decision Philosophy Reliability of Existing Structures System Reliability Analysis.
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