Results 291 to 300 of about 204,718 (355)

An integrated approach of hybrid ensemble machinelearning-based efficient seismic slope fragilityassessment and GIS mapping. [PDF]

Sci Rep
Mostafizur RM, Go C, Kwag S, Eem S, Hahm D.   +4 more
europepmc   +1 more source

Ensemble learning-based prediction of the backbone curve for corroded reinforced concrete columns using experimental database. [PDF]

Sci Rep
Sadeghi M, Poorahad P, Shiravand MR, Samimi K.   +3 more
europepmc   +1 more source

A nonlinear multi-parameter model for predicting floor acceleration amplification across diverse structural systems. [PDF]

Sci Rep
Pan R, Yu Y, Zhang W, Li X.
europepmc   +1 more source

A novel deep-learning model to convert DAS strain to geophone particle velocity: application to PoroTomo data from the Brady geothermal field. [PDF]

Sci Rep
Al-Qadasi B, Cui Y, Waheed UB, Wang HF.
europepmc   +1 more source

Comprehensive assessment of ground motion amplification in stratified soils with different layer configurations and types. [PDF]

Sci Rep
Ziar A, Basari E.
europepmc   +1 more source

Seismic Design Studies of Low-Rise Steel Frames

, 1988
Scott Schiff, William J. Hall, Douglas A. Foutch   +2 more
openalex   +1 more source

Seismic Design of Buildings

, 2005
openaire   +2 more sources

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Seismic design examples

2012
Contents
Basil Kolias, Michael N. Fardis, Alain Pecker   +2 more
openaire   +1 more source

Seismic Array Design

1971
Abstract : We present a method for predicting the noise reduction by simple beamforming of an array. The method gives an accurate estimate of the known capabilities of LASA, and is applied to the design of possible new arrays. The method requires field measurement of noise and signal correlations as a function of distance.
D. M. Clark, R. R. Blandford
openaire   +1 more source

Seismic Design

Nuclear Engineering and Design, 2004
Kazuhiko Iigaki, Satoshi Hanawa
  +4 more sources