COSSAN-X

A cutting-edge software to quantify, mitigate and manage risk and uncertainty in many fields

Discover the power of the stochastic analysis

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Overview

COSSAN is a general purpose software package for uncertainty quantification and management, sensitivity optimization and reliability analysis.

COSSAN-X, which is the latest version of COSSAN, provides in this regard an efficient approach to integrate third-party (deterministic) software (e.g. Finite Element solvers), efficient numeric algorithms (e.g. Line Sampling) and High Performance Computing. Although nowadays FE codes are quite sophisticated in terms of geometrical and mechanical modelling capabilities, they usually neglect the important issue of inherent uncertainties. Stochastic methods, on the other hand, offer a much more realistic approach for the analysis and design of structural systems. For these reasons, it is crucial to link deterministic FE codes with the advanced tools of stochastic analysis.

The software offers the most advanced and recent algorithms for the rational quantification and propagation of uncertainties. Furthermore, since stochastic methods are in general computationally demanding, the resort of high performance computing is required in order to reduce the execution time (wall clock time) of the analysis. In this regard, the implementations available in COSSAN-X are coupled with the parallel computing features in order to be able to analyse realistic problems within feasible computational times. As a result, COSSAN-X has evolved as the all-in-one package software for the practitioners to perform Uncertainty Quantification (UQ), Simulation-based Reliability Analysis, Sensitivity Analysis, Meta-Modelling, Stochastic Finite Elements Analysis (SFEM), and Reliability-Based Optimization (RBO) .

COSSAN-X Toolboxes

General Remarks

The toolboxes represents the core components of COSSAN-X, where the respective state-of-the-art algorithms within each field and analysis type are implemented. These advanced methods construct a robust and efficient framework for the rational treatment of the uncertainties. Furthermore, the combination of the offered algorithms with specific solution sequences permits the analysis of real-life problems of engineering practice, forming eventually the applications-layer, such as uncertainty quantification, reliability analysis, life cycle management, etc.

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