RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
Risk Analysis Virtual Environment
RAVEN is designed to perform parametric and probabilistic analysis based on the response of complex system codes. RAVEN is capable of investigating the system response as well as the input space using Monte Carlo, Grid, or Latin Hyper Cube sampling schemes, but its strength is focused toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. RAVEN includes the following major capabilities:
The RAVEN statistical analysis framework can be employed for several types of applications:
RAVEN provides a set of basic and advanced capabilities that ranges from data generation, data processing and data visualization.
MonteCarlo sampling
Grid sampling
Stratified Sampling
Factorial design
Response surface design
Generalized Polynomial Chaos (gPC) with sparse grid collocation (SGC)
Generalized Polynomial Chaos (gPC) with sparse grid collocation (SGC) using the High Dimensional Model Representation expansion (HDMR)
General combination of the above sampling strategies
Generic interface with external codes
Custom code interfaces (third-party software(s) currently available:
Custom ad-hoc external models (build in python internally to RAVEN)
More information on this project is available at the RAVEN website.
This project is supported by Idaho National Laboratory.
Idaho National Laboratory is a cutting edge research facility which is a constantly producing high quality research and software. Feel free to take a look at our other software and scientific offerings at:
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Supported Open Source Software
Raw Experiment Open Source Software
Unsupported Open Source Software
Files in crow/contrib, src/contrib and framework/contrib are third party libraries that are not part of Raven and are provided here for covenience. These are under their own, seperate licensing which is described in those directories.
Raven itself is licensed as follows:
Copyright 2016 Battelle Energy Alliance, LLC
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.