Assessment of Load-Bearing Capacity of Bridges

2017 ◽  
Vol 259 ◽  
pp. 113-118 ◽  
Author(s):  
Jaroslav Navrátil ◽  
Michal Drahorád ◽  
Petr Ševčík
Keyword(s):  
Bearing Capacity ◽  
Prestressed Concrete ◽  
Iterative Solution ◽  
Concrete Bridges ◽  
Load Bearing Capacity ◽  
Load Bearing ◽  
Prestressed Concrete Bridges ◽  
Existing Structures ◽  
Non Linear

The paper aims to the determination of load-bearing capacity of reinforced/prestressed concrete bridges subjected to the combination of all components of internal forces according to Eurocode standards for assessment of existing structures. Undoubtedly bridge load rating is laborious hand-iterative process, especially when it comes to reinforced and/or prestressed concrete bridges. The engineer can spend days and weeks trials and errors in the estimation of bridge load-carrying capacity. The problem lies in the determination of load-bearing capacity of cross-section subjected to the combination of normal and shear forces, bending and torsional moments. Due to the different effects of permanent and variable loads and the non-linear behavior of structural materials, the problem becomes non-linear and its solution requires the use of suitable iterative method. Optimized iterative solution was implemented into IDEA StatiCa software and the results are presented in this paper.

Assessment of Load Bearing Capacity of Concrete Bridges after Exceeding the Design Life

2016 ◽  
Vol 249 ◽  
pp. 173-178
Author(s):  
Jiří Doležel ◽  
Martina Šomodíková ◽  
David Lehký ◽  
Drahomír Novák
Keyword(s):  
Bearing Capacity ◽  
Current Level ◽  
Concrete Bridges ◽  
Load Bearing Capacity ◽  
Load Bearing ◽  
Simulation Techniques ◽  
Existing Bridges ◽  
Beam Bridge ◽  
Method Analysis

Advanced methods of reliability analysis based on simulation techniques of Monte Carlo type in combination with nonlinear finite element method analysis represent effective tools for reliability assessment of the existing bridges. Knowledge of current level of load bearing capacity of the bridge and its development in the coming years while meeting the required level of reliability may help to schedule the bridge maintenance systematically and efficiently and/or it can facilitate decision-making on the manner and extent of its reconstruction. The paper briefly introduces methodology of probabilistic determination of the load bearing capacity of bridges with respect to the ongoing deterioration processes in time. The methodology is applied to determine the current level of load bearing capacity of a reinforced concrete parapet beam bridge built and for its estimation in the coming years until the end of the theoretical service life of the structure.

Safety factor determining for space trusses by non-linear analysis and artificial neural network method

2013 ◽  
Vol 20 (3) ◽  
pp. 277-284
Author(s):  
Mehrzad Mohabbi Yadollahi ◽  
Fatma Karagöl ◽  
Mehmet Akif Kaygusuz ◽  
Rıza Polat ◽  
Ramazan Demirboga
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Bearing Capacity ◽  
Safety Factor ◽  
Load Bearing Capacity ◽  
Geometric Imperfections ◽  
Load Bearing ◽  
Non Linear ◽  
Initial Geometric Imperfections ◽  
Space Trusses

AbstractDetermining a feasible safety factor for space trusses is an important phase in structural analysis that could have economic benefits. We know there are many kinds of imperfections in structural elements, which include both material and geometric flaws. Predicting factual behavior of structures is very difficult and occasionally impossible. Elements with initial geometric imperfections in space trusses are a common phenomenon, in addition, equivalent initial geometric imperfections can be applied for modeling of residual stresses or eccentric loading effect. The number of members in the space structures is usually high as is the diversity in the kind of initial imperfection. Therefore, there is a high likelihood that models must be analyzed. The structure must be analyzed with non-linear methods, making these approaches time consuming, and potentially uneconomical. In this study, we selected 30 cases for random analysis based on Monte Carlo methods to find the bearing capacity of the space truss. We attained results from the LUSAS program LUSAS Modeller, Version 13, UK program and these were then exported as input data to the Artificial Neural Network (ANN) program. A reasonable neural network has been found of predicting another 30 cases for load bearing capacity without any analysis and only based on the neural network program. Finally, a new approach for determining the load capacity of the space trusses was extracted and we predicted the occurrence possibility of the convenience load bearing capacity in 60 cases.

scholarly journals DETERMINATION OF THE AMOUNT OF ADHESION OF BASALT-PLASTIC REINFORCEMENT TO CONCRETE

2020 ◽  
Vol 8 (3) ◽  
pp. 36-39
Author(s):  
Yulia Kustikova
Keyword(s):  
Bearing Capacity ◽  
Experimental Studies ◽  
Concrete Structures ◽  
Load Bearing Capacity ◽  
Load Bearing

The results of experimental studies and tests of concrete structures with basalt-plastic reinforcement to determine the load-bearing capacity, as well as the mechanism of adhesion of basalt-plastic rods to concrete are considered.

scholarly journals Considerations on the Bearing Capacity of Existing Prestressed Concrete Bridges

2020 ◽  
Vol 26 (3) ◽  
pp. 158-161
Author(s):  
Andrei-Mihai Pogány
Keyword(s):  
Bearing Capacity ◽  
Prestressed Concrete ◽  
Road Network ◽  
Building Materials ◽  
Road Traffic ◽  
Concrete Bridges ◽  
Initial Condition ◽  
Prestressed Concrete Bridges ◽  
The Road ◽  
Stable Conditions

AbstractMilitary actions generally unfold rapidly in different operational environments for which the commanding officer has assess the bearing capacity of the prestressed concrete bridges existing in the country’s road network. The bearing capacity is the maximum weight of the predetermined constitution convoy, which may safely circulate on the bridge, in stable conditions, considering the physical condition of the bridge. The paper shows that the bearing capacity will be assessed only through a technical analysis performed by an authorized expert together with a military engineer specialized in genius. This experts report will compare the initial condition of the bridge to the present one. The initial condition is based on the research of the execution design; the year of elaboration; the standard loadings at the moment; proprieties of the used building materials; execution modality, possible alterations occurring during execution as to the initial project. These data, together with the road traffic census, can be obtained from the company administrating the road network where the bridge is located. The current state to be assessed through analysis, calculation and static loading tests, showing if the capacity of the bridge can to support the increase of traffic military vehicle loading and reduction of the bearing capacity due to fatigue phenomena in the reinforcement. The paper proposes that authorities draw up and approve a standard concerning the verification periodicity of the bearing capacity in the existing prestressed concrete bridges.

scholarly journals In situ Determination of Load Bearing Capacity of Soils on the Airfields

2015 ◽  
Vol 15 ◽  
pp. 11-18 ◽  
Author(s):  
Martin Decký ◽  
Eva Remišová ◽  
Martin Mečár ◽  
Ladislav Bartuška ◽  
Ján Lizbetin ◽  
...  
Keyword(s):  
Bearing Capacity ◽  
Load Bearing Capacity ◽  
Load Bearing
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