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Refinado por: assunto: Engineering remover assunto: Engineering, Civil remover
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Modeling spatially correlated spectral accelerations at multiple periods using principal component analysis and geostatistics
Modeling spatially correlated spectral accelerations at multiple periods using principal component analysis and geostatistics
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Modeling spatially correlated spectral accelerations at multiple periods using principal component analysis and geostatistics

Markhvida, Maryia ; Ceferino, Luis ; Baker, Jack W.

Earthquake engineering & structural dynamics, 2018-04, Vol.47 (5), p.1107-1123 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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2
Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality
Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality
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Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality

Belkhiri, Lazhar ; Narany, Tahoora Sheikhy

Water resources management, 2015-04, Vol.29 (6), p.2073-2089 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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3
Error analysis for approximate structural life-cycle reliability and risk using machine learning methods
Error analysis for approximate structural life-cycle reliability and risk using machine learning methods
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Error analysis for approximate structural life-cycle reliability and risk using machine learning methods

Yang, David Y. ; Frangopol, Dan M. ; Han, Xu

Structural safety, 2021-03, Vol.89, p.102033, Article 102033 [Periódico revisado por pares]

Amsterdam: Elsevier Ltd

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4
Deep long short-term memory networks for nonlinear structural seismic response prediction
Deep long short-term memory networks for nonlinear structural seismic response prediction
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Deep long short-term memory networks for nonlinear structural seismic response prediction

Zhang, Ruiyang ; Chen, Zhao ; Chen, Su ; Zheng, Jingwei ; Büyüköztürk, Oral ; Sun, Hao

Computers & structures, 2019-08, Vol.220, p.55-68 [Periódico revisado por pares]

New York: Elsevier Ltd

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5
Analytical fragility assessment using unscaled ground motion records
Analytical fragility assessment using unscaled ground motion records
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Analytical fragility assessment using unscaled ground motion records

Jalayer, Fatemeh ; Ebrahimian, Hossein ; Miano, Andrea ; Manfredi, Gaetano ; Sezen, Halil

Earthquake engineering & structural dynamics, 2017-12, Vol.46 (15), p.2639-2663 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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6
On the application of machine learning techniques to derive seismic fragility curves
On the application of machine learning techniques to derive seismic fragility curves
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On the application of machine learning techniques to derive seismic fragility curves

Kiani, Jalal ; Camp, Charles ; Pezeshk, Shahram

Computers & structures, 2019-07, Vol.218, p.108-122 [Periódico revisado por pares]

New York: Elsevier Ltd

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7
A lumped parameter model for time‐domain inertial soil‐structure interaction analysis of structures on pile foundations
A lumped parameter model for time‐domain inertial soil‐structure interaction analysis of structures on pile foundations
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A lumped parameter model for time‐domain inertial soil‐structure interaction analysis of structures on pile foundations

Carbonari, Sandro ; Morici, Michele ; Dezi, Francesca ; Leoni, Graziano

Earthquake engineering & structural dynamics, 2018-09, Vol.47 (11), p.2147-2171 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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8
Statistical assessment of rock burst potential and contributions of considered predictor variables in the task
Statistical assessment of rock burst potential and contributions of considered predictor variables in the task
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Statistical assessment of rock burst potential and contributions of considered predictor variables in the task

Afraei, Sajjad ; Shahriar, Kourosh ; Madani, Sayyed Hassan

Tunnelling and underground space technology, 2018-02, Vol.72, p.250-271 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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9
Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis
Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis
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Kernel principal component analysis-based Gaussian process regression modelling for high-dimensional reliability analysis

Zhou, Tong ; Peng, Yongbo

Computers & structures, 2020-12, Vol.241, p.106358, Article 106358 [Periódico revisado por pares]

New York: Elsevier Ltd

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10
Equivalent imperfections for the out-of-plane stability design of steel beams by second-order inelastic analysis
Equivalent imperfections for the out-of-plane stability design of steel beams by second-order inelastic analysis
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Equivalent imperfections for the out-of-plane stability design of steel beams by second-order inelastic analysis

Quan, Chunyan ; Walport, Fiona ; Gardner, Leroy

Engineering structures, 2022-01, Vol.251, p.113481, Article 113481 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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