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Institution

Iran University of Science and Technology

EducationTehran, Iran
About: Iran University of Science and Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Nonlinear system & Finite element method. The organization has 12917 authors who have published 24965 publications receiving 372013 citations. The organization is also known as: Governmental Technical Institute & Advanced Art College.


Papers
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Journal ArticleDOI
TL;DR: In this paper, mixed perovskite oxides with Ca x La 1-x Ni 0.3 Al 0.7 O 3-d and Sr 0.8 La 0.2Ni 0.5 O 2 2.5 m 2 /g have been prepared by a solgel method.

84 citations

Journal ArticleDOI
TL;DR: In this paper, two variants of genetic programming, namely linear genetic programming (LGP) and multi expression programming (MEP), were used to evaluate the liquefaction resistance of sandy soils.
Abstract: This study presents promising variants of genetic programming (GP), namely linear genetic programming (LGP) and multi expression programming (MEP) to evaluate the liquefaction resistance of sandy soils. Generalized LGP and MEP-based relationships were developed between the strain energy density required to trigger liquefaction (capacity energy) and the factors affecting the liquefaction characteristics of sands. The correlations were established based on well established and widely dispersed experimental results obtained from the literature. To verify the applicability of the derived models, they were employed to estimate the capacity energy values of parts of the test results that were not included in the analysis. The external validation of the models was verified using statistical criteria recommended by researchers. Sensitivity and parametric analyses were performed for further verification of the correlations. The results indicate that the proposed correlations are effectively capable of capturing the liquefaction resistance of a number of sandy soils. The developed correlations provide a significantly better prediction performance than the models found in the literature. Furthermore, the best LGP and MEP models perform superior than the optimal traditional GP model. The verification phases confirm the efficiency of the derived correlations for their general application to the assessment of the strain energy at the onset of liquefaction.

84 citations

Journal ArticleDOI
TL;DR: In this paper, the crack growth retardation and the location of fatigue crack initiation from stop-hole edge under different mode-mixities are examined by means of a developed fatigue code.

84 citations

Journal ArticleDOI
TL;DR: In this article, a multi-objective congestion management framework is presented while simultaneously optimizing the competing objective functions of congestion management cost, voltage security, and dynamic security, which is based on the augmented e-constraint technique hybridized by the weighting method.

84 citations


Authors

Showing all 13049 results

NameH-indexPapersCitations
Peter Hall132164085019
Josep M. Guerrero110119760890
Rahman Saidur9757634409
Victor C. M. Leung91158540397
Mehdi Dehghan8387529225
Amir H. Gandomi6737522192
Toraj Mohammadi6439414043
Emil Björnson6245817954
Amir A. Zadpoor6129411653
Majid R. Ayatollahi6037310771
Ali Kaveh5875316647
David Andrew Barry5746213363
Miguel A. Mariño532918304
Ali Saberi5144810959
Ali Maleki513768853
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202371
2022233
20212,309
20202,289
20191,915
20181,746