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Skip to Search Results- 4Finite Element
- 2Data-driven Seismic Analysis
- 2Dynamics of Structures
- 2Machine Learning
- 2Nonlinear Analysis of Structures
- 2Substructuring
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Spring 2022
Numerical simulation and hybrid simulation are extensively used in earthquake engineering to evaluate the seismic response of structures under seismic loading. Despite the advances in computing power and the development of efficient integration algorithms in the past, numerical simulation
when only one or limited number of potential critical components, seismic fuses, are physically tested due to laboratory or cost constraints. The recent progress in machine learning algorithms and applications in engineering has motivated novel and innovative simulation techniques achieved by
leveraging data in various fields of engineering including seismic engineering where complexities arising from the stochastic nature of the phenomenon can be tackled by making use of available experimental and numerical data towards the development of more reliable simulation models and dynamic analysis
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A 3D Continuum Finite Element Muscle Model for the Investigation of Cervical Spine Load-Sharing Mechanisms and Injury Assessment during Impact Loading Scenarios
DownloadFall 2018
The mechanical behavior of the individual cervical tissues as well as the head-neck complex kinematics plays a very important role in proper functioning of the cervical spine and is a key factor in more appropriate understanding of injury mechanism, prevention, detection, control and treatment....
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Shear Strength of Partially Grouted (PG) Masonry Shear Walls: Experimental and Analytical Studies
DownloadFall 2023
When subjected to in-plane loads, the shear behaviour of partially grouted (PG) masonry shear walls is complex due to the heterogeneous and anisotropic nature of the masonry materials and the nonlinear interactions among their constituents. For instance, insufficient shear strength will lead to a...
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Fall 2024
test data linked to diverse structural elements, has opened new avenues for structural analysis. These methods offer potential solutions to the problems encountered in numerical simulation. This M.Sc. thesis aims to develop data-driven surrogate models for the prediction of nonlinear hysteresis