Precise Structural Reliability and Risk Quantification
StRAnD quantifies the reliability and risk of structural models, providing essential insights for structural design and analysis.
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:
Time-dependent methods include:
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.
The EMR software was developed for Petrobras’s Rock Mechanics Laboratory to provide a secure and easily accessible database, and a software to store and run analytics on lab data.
SimWorx developed the EMR application to support the lab with advanced analytics, and establish a process to evaluate rock mechanics test results done under the Brazilian Test, UCS – Unconfined Compressive Strength, and Triaxial methods.
Discover how our custom solutions deliver efficiency, precision, and performance across critical engineering challenges.
StRAnD quantifies the reliability and risk of structural models, providing essential insights for structural design and analysis.
Using Monte Carlo and FORM/SORM methods, StRAnD allows for accurate assessment of complex structural systems.
StRAnD supports both time-dependent and independent analysis, offering flexibility for a variety of engineering applications.
EMR helps manage and analyze rock mechanics lab data, improving the accuracy and efficiency of testing processes.
By supporting advanced analytics, EMR streamlines the evaluation of rock properties under various test methods like UCS and Triaxial, aiding in better decision-making for well planning.