Describe Implementation of Research Outcomes (or why not implemented) :
- A method to characterize the representative vehicle including the gross vehicle weight and axle load over a return period of interest.
- A method and tool to characterize the bridge population sensitive to the load effect and fatigue
- The simulation and code can be used for both steel girder and prestressed concrete bridges; and for innovative bridge solutions
- The simulation and code can be used to investigate the effects of different span lengths
- The simulation and code can be used to account for the different classes of road surface roughness
- Investigate effect of dynamic loading including the impact increasing number of heavy vehicles and/or the vehicle weight limit on the service life of bridges.
- 2D and 3D simulation technique, and written MATLAB code can be used to determine the static and dynamic responses of bridges traveling on the bridge and for different combination of truck loads; and different vehicle speeds on the dynamic response of bridges
Significant results from the current quarter includes the following:
- Task 1: Develop heavy vehicle-bridge interaction model to quantify the effect of meeting increasing freight demands on bridges.
- Derivations of equations of the motion for different types of trucks (FIU) – 100%
- Develop Truck Models and Bridge Types (UAB + FIU) – 100%
- Detailed FE Modeling of a Bridge (UAB) – 100%
- Task 2. Compare the effect of heavier trucks to the effect of doubling the number of heavy vehicles under the present legal weight restrictions.
- Design of steel and prestressed concrete bridges with different span lengths (FIU) -100%
- Write MATLAB code to solve the interaction equations for the vehicle models and beam system (FIU) - 100%
- Dynamic Analysis of bridge due to moving vehicles (UAB+FIU) – 90%
- Task 3. Characterize the traffic measured by WIM data in terms of its influence on characteristic bridge load effect
- Characterize WIM data to detect the most reasonable expected extreme gross vehicle weight (UAB) – 100%
- Determine the characteristic Bridge under traffic load effects and Fatigue by WIM Data (UAB+UCF) – 90%
- Task 4. Calculate the characteristic bridge traffic load effects bridges of different lengths.
- Explore existing (conventional AASHTO) and future bridges (Florida I-Beam Girdr) perform (UCF) - 100%
- Explore Florida Legal Load effects on the existing (conventional AASHTO) and future bridges (Florida I-Beam Girder) perform (UCF) - 100%
- Modeling Deck and Girders of AASHTO and FIB Girders (UCF+UAB) - 80%
- Task 5: Calculate the cost effects of increasing loads on bridges
- Load rating of existing (conventional AASHTO) and future bridges (Florida I-Beam Girder) under AASHTO and Florida Legal Loads (UCF) - 90%
- Probabilistic analysis and reliability estimation of existing (conventional AASHTO) and future bridges (Florida I-Beam Girder) under AASHTO and Florida Legal Loads (UCF) - 50%
- Evaluation of existing (conventional AASHTO) and future bridges (Florida I-Beam Girder) under different damage scenarios (UCF) - 50%
- Fatigue life assessment (FIU) - 30%
- Cost impact assessment for all cost-impact categories (UAB) - 50%
Impacts/Benefits of Implementation (actual, not anticipated):
- Finding the Answer To The Rising Demand For Freight Shipping:
- Bridge behavior with increasing the number of trucks traveling on the road
- Bridge behavior with using trucks with higher capacities
- Combination of the two solutions
- Investigate innovative bridge design e.g., FIB as design solution
- Knowing the trends in permits weights in excess of legal limits and resulting damage costs with appropriate design solutions and actions is extremely important:
- Better utilization of bridges
- Possible increase in load demands within safety limits
- Understanding damage locationsfor condition‐based maintenance of bridges
- Making long‐term programmatic decision regarding truck size and weight that in the best interest of our transportation infrastructure.
- Some bridge response measures such as the Dynamic Amplification Factor (DAF) of bridges will be obtained. These measures have important effects on the design of highway bridges and also to understand the durability of current bridges.
Photos 6 through 10 below are provided courtesy of Rahul Kalyankar of UAB, and Dr. Leslaw Kwasniewski of FSU.