Experiments are conducted in the laboratory and the Nanjing IV Yangtze River Bridge to verify the performance of the designed system.
This paper describes the instrumentation system installed on the Star City Bridge and demonstrates the performance of the steel superstructure over 4 years from the time of deck pouring.
These bridges greatly degrade the performance of connectivity-based clustering algorithms, such as single-linkage clustering algorithm and complete-linkage clustering algorithm [46].
While the increasing sensor accuracy and the speed of signal processing failed to bridge the gap between the performance of artificial and human sensorimotor systems, the motor memory architecture seems to remain neglected.
Tie spacing, concrete and steel properties, amount of reinforcement and column height are factors (or parameters) that can affect the performance of bridge piers under lateral loads.
This paper is to compare the performance of Bridge transducers with trapezoidal, arc and arch structure through finite element analysis (FEA) and laboratory test.
Fiber modeling approach has been implemented to determine the performance of bridge piers (such as cracking base shear, cracking displacement, yield base shear, yield displacement, crushing base shear/shear capacity, displacement at crushing/shear failure and ductility) under lateral loads.
In Korea, GPR has been used for assessing the condition and monitoring the performance of bridge decks in the Korean expressway system (Suh et al. 1998), after it was first introduced by the Korea Expressway Corporation in 1997.
We also noticed the great improvement in the performance of BRIDGE when the five data sources were integrated.
As the shape of water bridge retaining between vertical fins affects the performance of fin-and-tube heat exchangers, it is necessary to investigate water bridge shape and to develop description methods for water bridge, including those for contact line and contact angles.
