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Christopher D. Eamon
Researcher at Wayne State University
Publications - 69
Citations - 1008
Christopher D. Eamon is an academic researcher from Wayne State University. The author has contributed to research in topics: Structural load & Prestressed concrete. The author has an hindex of 19, co-authored 66 publications receiving 871 citations. Previous affiliations of Christopher D. Eamon include Lawrence Technological University & University of Michigan.
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Effects of Edge-Stiffening Elements and Diaphragms on Bridge Resistance and Load Distribution
TL;DR: In this paper, the effects of barriers, sidewalks, and diaphragms (secondary elements) on bridge structure ultimate capacity and load distribution were investigated for simple-span, two-lane highway girder bridges with composite steel and prestressed concrete girders.
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Modeling Concrete Masonry Walls Subjected to Explosive Loads
TL;DR: In this paper, concrete masonry unit walls subjected to blast pressure were analyzed with the finite element method, with the goal of developing a computationally efficient and accurate model, which can be grouped into three modes of failure, which correspond to three ranges of blast pressures.
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Life-Cycle Cost Analysis of Alternative Reinforcement Materials for Bridge Superstructures Considering Cost and Maintenance Uncertainties
TL;DR: In this paper, a life-cycle cost analysis (LCCA) was conducted on prestressed concrete bridge superstructures using carbon fiber reinforced polymer (CFRP) bars and strands.
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Effect of secondary elements on bridge structural system reliability considering moment capacity
TL;DR: In this article, a finite element procedure is developed that combines a grillage model of the bridge deck with solid elements for edge-stiffening effects, and system resistance parameters are estimated with a point integration method.
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Reliability analysis of prestressed concrete beams exposed to fire
Christopher D. Eamon,Elin Jensen +1 more
TL;DR: In this paper, a procedure for conducting reliability analysis of prestressed concrete beams subjected to a fire load is presented, which involves identifying relevant load combinations, specifying critical load and resistance random variables, and establishing a high-temperature performance model for beam capacity.