Structural Reliability and Risk Analysis and Design (StRAnD) is a software being developed by the research group headed by Professor André T. Beck in the SET-EESC-USP. The application quantifies the reliability (probability of failure), the risk and characterizes the probabilistic response of time-dependent and independent analytical and/ or numeric models, from the point of view of structural reliability. The current release works with 15 probabilistic distributions to random variables and envelopes of stochastic processes, and 4 types of stochastic processes.
Time-independent methods include:
- Monte Carlo SMC simulation (on the original model, response surface and/ or neural networks) with intelligent sampling techniques (simple, by priority, asymptotic, enhanced, Markov chains; with simple sampling, latin hypercube, or antithetical variables);
- First and second order approximation (FORM and SORM/ Breitung);
Time-dependent methods include:
- Scalar integration (numeric);
- Probability fast integration;
- Probability total integration (via Monte Carlo simulation);
- Joint assessment of failure probability;
- Random Process Simulation;
The current user interface is based on input and output text files. SimWorx is migrating the Fortran Code to C++ as well as developing a new Graphical User Interface for the application.