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Christoph Schaal

Researcher at California State University, Northridge

Publications -  52
Citations -  430

Christoph Schaal is an academic researcher from California State University, Northridge. The author has contributed to research in topics: Lamb waves & Nondestructive testing. The author has an hindex of 10, co-authored 44 publications receiving 327 citations. Previous affiliations of Christoph Schaal include University of Stuttgart & University of California, Los Angeles.

Papers
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Journal ArticleDOI

Inter‐wire Coupling Model Development for Health Monitoring of Cable Structures

TL;DR: In this paper, the authors extend the current coupling model to include n wires and verify this model for a seven-wire cable, experimentally, using ultrasonic wave detectors over large distances.
Proceedings ArticleDOI

Guided Waves in Pipes Versus Lamb Waves in Plates - A Convergence Analysis

TL;DR: In this article , the authors analyzed the convergence of guided waves in pipes to Lamb waves in plates for isotropic materials and defined a threshold frequency above which it is reasonable to approximate waves propagating in a pipe with a certain wall thickness to radius ratio as Lamb waves.
Proceedings ArticleDOI

Automated nondestructive testing of composites using air-coupled guided ultrasound

TL;DR: In this paper , a multi-axis positioning system for air-coupled transducers is presented for non-destructive testing (NDT) experiments on metal and composite specimens.
Proceedings ArticleDOI

Recent advancements on autonomous Lamb wave-based nondestructive inspection

TL;DR: In this article , a Lamb wave-based edge seeking and tracing methodology is used to reduce the time and cost of inspection of composite structures in an aircraft, while increasing aircraft reliability.
Proceedings ArticleDOI

Visualization and analysis of the scattering of high-intensity focused ultrasound at bone phantoms

TL;DR: In this article , the authors demonstrate that low-amplitude reflected wave peaks can be tracked despite their superposition with high amplitude incident waves, using computer vision techniques.