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Amir Nasrollahi

Researcher at University of Pittsburgh

Publications -  37
Citations -  414

Amir Nasrollahi is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Structural health monitoring & Nondestructive testing. The author has an hindex of 10, co-authored 34 publications receiving 286 citations. Previous affiliations of Amir Nasrollahi include Stanford University & Iran University of Science and Technology.

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Performance-based seismic design of steel frames utilizing charged system search optimization

TL;DR: A performance-based optimal seismic design of steel frames is presented utilizing Charged System Search (CSS) optimization using a pushover analysis method based on semi-rigid connection concept as analysis and design method.
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Multimodal structural health monitoring based on active and passive sensing

TL;DR: In this paper, a structural health monitoring system based on simultaneous use of passive and active sensing is presented, where the passive approach is based on acoustic emission, whereas the active approach uses th...
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Nondestructive testing of concrete using highly nonlinear solitary waves

TL;DR: In this article, the authors describe the capability of a nondestructive evaluation (NDE) method at determining the strength of concrete surfaces using highly non-linear solitary waves propagating inside a metamaterial in contact with the concrete to be tested.
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Axial stress determination using highly nonlinear solitary waves.

TL;DR: A nondestructive evaluation method to infer the neutral temperature and the axial stress in thick beams using the propagation of highly nonlinear solitary waves generated at one end of a chain of spherical particles in a dry point contact with the beam to be evaluated.
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Detecting the Presence of High Water-to-Cement Ratio in Concrete Surfaces Using Highly Nonlinear Solitary Waves

TL;DR: In this paper, a nondestructive evaluation (NDE) method based on the propagation of highly nonlinear solitary waves (HNSWs) is proposed to determine the excess of water on the surface of existing concrete structures.