This paper presents a seismic wave energy-based method with back-propagation neural networks to assess the liquefaction probability. An empirical equation and Fourier spectrum of acceleration are employed, respectively, to calculate the seismic wave energy. Discriminant analysis is used to determine
β¦ LIBER β¦
Probabilistic evaluation of seismic soil liquefaction potential based on SPT data
β Scribed by K. S. Vipin; T. G. Sitharam; P. Anbazhagan
- Book ID
- 106485970
- Publisher
- Springer Netherlands
- Year
- 2009
- Tongue
- English
- Weight
- 699 KB
- Volume
- 53
- Category
- Article
- ISSN
- 0921-030X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Energy-based probabilistic evaluation of
β
Y.R. Chen; S.C. Hsieh; J.W. Chen; C.C. Shih
π
Article
π
2005
π
Elsevier Science
π
English
β 903 KB
Assessment of seismic hazard and liquefa
Assessment of seismic hazard and liquefaction potential of Gujarat based on probabilistic approaches
β
K. S. Vipin, T. G. Sitharam, S. Kolathayar
π
Article
π
2012
π
Springer Netherlands
π
English
β 959 KB
A pattern recognition approach to evalua
β
Dou Yiqiang; John B. Berrill
π
Article
π
1993
π
Elsevier Science
π
English
β 979 KB
Examination of DMT-based methods for eva
β
Gordon Tung-Chin Kung; Der-Her Lee; Pai-Hsiang Tsai
π
Article
π
2011
π
SP Zhejiang University Press
π
English
β 895 KB
Probabilistic evaluation of soilβfoundat
β
Masoud Moghaddasi; Misko Cubrinovski; J. Geoff Chase; Stefano Pampanin; Athol Ca
π
Article
π
2011
π
John Wiley and Sons
π
English
β 624 KB
Evaluation of liquefaction potential bas
β
Mohammad Rezania; Akbar A. Javadi; Orazio Giustolisi
π
Article
π
2010
π
Elsevier Science
π
English
β 551 KB
In this paper a new approach is presented, based on evolutionary polynomial regression (EPR), for determination of liquefaction potential of sands. EPR models are developed and validated using a database of 170 liquefaction and non-liquefaction field case histories for sandy soils based on CPT resul