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Evaluation of the Performance of Lateral Spread Displacement Empirical Models for Subduction Zone Earthquake Case Histories

Creator:

Bunn, Michael

Abstract:

Lateral spread is a pervasive type of liquefaction-induced ground failure that occurs on gentle slopes or near free-faces, such as river channels. Resulting horizontal displacements can reach up to several meters, and can be considerably damaging to foundations, bridges, roadways, pipelines, etc. In the 1990s, Bartlett and Youd (1992a, 1995)...

Resource Type:

Masters Thesis

Full Text:

AN ABSTRACT OF THE THESIS OF Michael Bunn for the degree
Making the Unconscious Unconscious : Reclaiming Microinteractions for People with Motor Disabilities

Creator:

Lazewatsky, Daniel A.

Abstract:

Numerous diseases and injuries can limit a person's ability to perform everyday tasks -- things like getting dressed, bathing, and eating. Anything that requires physical activity can be affected; even simple things like turning on the lights can become difficult or impossible. Until recently, the only way for a person...

Resource Type:

Dissertation
Examination of airborne discrete-return lidar in prediction and identification of unique forest attributes

Creator:

Wing, Brian M.

Abstract:

Airborne discrete-return lidar is an active remote sensing technology capable of obtaining accurate, fine-resolution three-dimensional measurements over large areas. Discrete-return lidar data produce three-dimensional object characterizations in the form of point clouds defined by precise x, y and z coordinates. The data also provide intensity values for each point that...

Resource Type:

Dissertation

Full Text:

greatest thanks to my doctoral committee composed of Drs. Alix Gitelman, Michael Olsen, Warren Cohen, and

ScholarsArchive@OSU

Evaluation of the Performance of Lateral Spread Displacement Empirical Models for Subduction Zone Earthquake Case Histories

Making the Unconscious Unconscious : Reclaiming Microinteractions for People with Motor Disabilities

Examination of airborne discrete-return lidar in prediction and identification of unique forest attributes

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