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Ajit Mal

Researcher at University of California, Los Angeles

Publications -  207
Citations -  7805

Ajit Mal is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Lamb waves & Ultrasonic sensor. The author has an hindex of 38, co-authored 205 publications receiving 7217 citations. Previous affiliations of Ajit Mal include University of Southern California & California Institute of Technology.

Papers
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Journal ArticleDOI

An automated damage identification technique based on vibration and wave propagation data.

TL;DR: A novel method is developed using a combination of vibration and wave propagation data to determine the location and degree of damage in structural components requiring minimal operator intervention.
Journal ArticleDOI

Characterization of matrix damage in metal matrix composites under transverse loads

TL;DR: In this article, a volume integral equation method is used to investigate the mechanics of damage evolution in a unidirectional SiC/Ti composite under transverse loading, and it is shown that the most likely mechanism of the damage is the initiation of partial fiber debonding followed by transverse cracking.
Book ChapterDOI

Ultrasonic Nondestructive Evaluation of Cracked Composite Laminates

TL;DR: In this article, a leaky Lamb wave (LLW) technique was used to estimate the phase velocity and amplitude of a composite laminate in a broad range of frequencies and velocities.
Journal ArticleDOI

A Boundary Element Method for Plane Anisotropic Elastic Media

TL;DR: In this article, the general problem of plane anisotropic elastostatics is formulated in terms of a system of singular integral equations with Cauchy kernels by means of the classical stress function approach.
Journal ArticleDOI

Calculation of ground motion in a three-dimensional model of the 1966 Parkfield earthquake

TL;DR: In this paper, a computer program is developed to calculate ground motion from an assumed model of the 1966 Parkfield, California earthquake, which requires no physical approximations except at the source.