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Structural Non-Linear Models and Simulation Techniques: An Efficient Combination for Safety Evaluation of RC Structures
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Author(s): Jorge M. Delgado (Polythecnic Institute of Viana do Castelo, Portugal), Antonio Abel R. Henriques (Faculty of Engineering, University of Porto, Portugal)and Raimundo M. Delgado (Faculty of Engineering, University of Porto, Portugal)
Copyright: 2016
Pages: 45
Source title:
Handbook of Research on Computational Simulation and Modeling in Engineering
Source Author(s)/Editor(s): Francisco Miranda (Instituto Politécnico de Viana do Castelo and CIDMA of University of Aveiro, Portugal)and Carlos Abreu (Instituto Politécnico de Viana do Castelo, Portugal)
DOI: 10.4018/978-1-4666-8823-0.ch018
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Abstract
Advances in computer technology allow nowadays the use of powerful computational models to describe the non-linear structural behavior of reinforced concrete (RC) structures. However their utilization for structural analysis and design is not so easy to be combined with the partial safety factors criteria presented in civil engineering international codes. Trying to minimize this type of difficulties, it is proposed a method for safety verification of RC structures based on a probabilistic approach. This method consists in the application of non-linear structural numerical models and simulation methods. In order to reduce computational time consuming the Latin Hypercube sampling method was adopted, providing a constrained sampling scheme instead of general random sampling like Monte Carlo method. The proposed methodology permits to calculate the probability of failure of RC structures, to evaluate the accuracy of any design criteria and, in particular, the accuracy of simplified structural design rules, like those proposed in civil engineering codes.
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