Detailed load rating analyses of bridge populations using nonlinear finite element models and artificial neural networks

For assessing load rating capacity of bridges, American Association of State Highway and Transportation Officials Manual (AASHTO) recommends a simple method, where distribution of the forces in transverse direction is estimated by axle-load distribution factors on a simply supported beam. Although the method is practical in the sense that it allows for rapid evaluation of bridge populations, it leads to over-conservative load ratings. A finite element (FE) based load rating analysis is conceived as a more accurate strategy, yet the need for constructing and analyzing a FE model for every single bridge in the population makes it impractical for load rating analyses of a bridge population. In this study an efficient method is developed for detailed load rating analyses of bridge populations through nonlinear FE models and artificial neural networks (ANNs). In this method, geometric-replica 3D FE models are used for nonlinear response analyses and load rating calculations for a sample bridge set. ANNs are then trained to learn implicit relationships between the governing bridge parameters and the resulting load ratings using this sample bridge set, and to make cost-free load rating estimations for other bridges that are not included in the set. The single-span reinforced concrete T-beam bridge population in Pennsylvania State is used to demonstrate a practical case study for application of the method. The results indicate that FE based load rating calculation procedure integrated with ANNs can be used as efficient tools for in-depth condition assessment of bridge populations.


Quantitative approach to rapid seismic evaluation of slab-on-girder steel highway bridges
Dicleli, Murat (1996-01-01)
A quantitative approach follows for developing a methodology for the rapid seismic evaluation and ranking of slab-on-girder steel highway bridges. In the development of this methodology, analytical expressions are introduced to calculate the seismically induced forces and displacements in bridge components, first assuming that damage to bearings is not acceptable and then removing this constraint. In the latter case, the superstructure is assumed to become unrestrained and slide on its supports. The seismic...
Use of artificial neural networks for the prediction of time-dependent air speed variation in metro stations
KOC, Gencer; Sert, Cüneyt; Albayrak, Kahraman (2018-09-01)
In this study, the time-dependent, induced air speeds at critical sections of underground metro stations are assessed using a novel one-dimensional data-driven approach. For this purpose, three artificial neural networks are used, each trained for the most basic configuration of a single train moving in a single tunnel. The first two are trained to provide the maximum and time averaged values of the induced air speeds while the train is moving inside the approach tunnel or the station. The third one is used...
Seismic vulnerability assessment criteria for RC ordinary highway bridges in Turkey
AVŞAR, ÖZGÜR; Yakut, Ahmet (2012-07-10)
One of the most important and challenging steps in seismic vulnerability and performance assessment of highway bridges is the determination of the bridge component damage parameters and their corresponding limit states. These parameters are very essential for defining bridge damage state as well as determining the performance of highway bridges under a seismic event. Therefore, realistic damage limit states are required in the development of reliable fragility curves, which are employed in the seismic risk ...
Equivalent linear analysis of seismic-isolated bridges subjected to near-fault ground motions with forward rupture directivity effect
Dicleli, Murat (2007-01-01)
This study encompasses the assessment of the equivalent linear (EL) analysis procedure for the design of seismic isolated bridges (SIB) subjected to near-fault ground motions with forward rupture directivity effect. The assessment procedure involves the comparison of the seismic response quantities obtained from EL analyses with those obtained from nonlinear time history (NLTH) analyses. The effect of several isolator and near-fault ground motion properties are considered in the assessment of the EL analysi...
Simplified seismic analysis of a class of regular steel bridges
Dicleli, Murat (Elsevier BV, 2002-11)
AASHTO's (American Association State Highway and Transportation Officials) simplified method of analysis for multiple-span regular bridges requires modeling and analysis of the structures and it is not less time-consuming than performing a computer-aided response spectrum analysis. Furthermore, for single-span bridges. AASHTO specifications do not require a seismic analysis. The connections between the superstructure and substructure are designed for a minimum load calculated as the product of site coeffici...
Citation Formats
O. Hasançebi, “Detailed load rating analyses of bridge populations using nonlinear finite element models and artificial neural networks,” COMPUTERS & STRUCTURES, pp. 48–63, 2013, Accessed: 00, 2020. [Online]. Available: