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- Asphalt Concrete (1)
- Bridge (1)
- Characterization (1)
- Complex Modulus (1)
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- Damage (1)
- Dynamic Modulus (1)
- Effectiveness of Sonic Echo Test on Timber Pile. (1)
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- Sonic Echo Test Conducted on Timber Piles (1)
- Sound Wave Calculation within Timber Pile (1)
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Articles 1 - 4 of 4
Full-Text Articles in Engineering
Characterization And Modeling Of Asphalt Concrete For Dynamic Properties And Performances, A S M A. Rahman
Characterization And Modeling Of Asphalt Concrete For Dynamic Properties And Performances, A S M A. Rahman
Civil Engineering ETDs
The recently developed mechanistic-empirical pavement design guide (MEPDG, also known as Pavement M-E design method) uses the nationally calibrated, binder viscosity-based dynamic modulus predictive model for the design and analysis of asphalt pavements. In this study, this model is assessed for its appropriateness for asphalt-aggregate mixtures typically used in New Mexico. In essence, this study investigates the predictability issue of complex modulus of New Mexico mixes. A total of 54 Superpave mixes with different aggregate gradations, air voids, and binder grades were collected from the mixing plants and from the pavement construction sites. The loose asphalt mixtures were then compacted, …
State-Based Peridynamic Particle Method, Siavash Nikravesh Kazeroni
State-Based Peridynamic Particle Method, Siavash Nikravesh Kazeroni
Civil Engineering ETDs
In this study, a novel discrete Peridynamics framework called the “State-Based Peridynamic Particle Model (SPPM)” is introduced. In this approach, a solid body is simulated by neither solving differential equations nor integral equations; instead, the simulation is accomplished by directly solving discrete systems of equations using finite summations. SPPM is formulated for a random distribution of particles, hence, it can be considered as a meshfree method. The assumptions of continuity and homogeneity are not necessary for this approach. The SPPM is a generalization of the “State-Based Peridynamic Lattice Model (SPLM)”. In the SPLM formulation, for sake of simplicity and computational …
Characterization Of Unknown Bridge Foundations, Saman Rashidyan
Characterization Of Unknown Bridge Foundations, Saman Rashidyan
Civil Engineering ETDs
The National Bridge Inventory (NBI) recognized 86,133 bridges in the United States have no foundation data on record in 2003. It is evident that an unknown percentage of the 86,133 bridges identified by NBI with missing foundation data could also be highly vulnerable to scouring induced by water flow coupled with erodible soils. Conventional excavation, coring and boring excavations to identify unknown bridge foundation depths and types are deemed to be expensive, destructive, and limited in their application to the unknown foundation problem. Many surface and borehole nondestructive testing (NDT) technologies have been developed for this purpose. Three economical proven …
Practical Considerations In Determining Timber Pile Depth Using The Sonic Echo Method, Ali F. Jwary
Practical Considerations In Determining Timber Pile Depth Using The Sonic Echo Method, Ali F. Jwary
Civil Engineering ETDs
The Federal Highway Administration indicates that about 85,000 bridges in the United States have no original contract documents with information about the type, depth, geometry and material of their foundations (FHWA, 2010). Furthermore, the National Bridge Inventory (NBI) provides information about 86,133 bridges nationwide that are rated as scour critical because of unknown foundation condition. In New Mexico, there are more than 281 bridges with unknown foundations, which are owned by the New Mexico Department of Transportation; 71 of these are timber bridges. These data indicate a serious problem that needs decisive action to assess the unknown bridge foundation characteristics …