Som Dhulipala issues

Results 15 issues of


                                            Som Dhulipala

Refactor GP to consider ADAM

## Reason Currently Gaussian Process (GP) training utilizes (mostly) CG optimization through TAO. Adding ADAM optimization since its popular for GP training and permits a stochastic selection of the training...

Add ADAM optimization in STM for Gaussian Process training

T: task

Parallel active learning in Monte Carlo simulations with Gaussian Process

To do : - [ ] Error checking and tests - [x] Enum options for active learning acquisition functions - [ ] Documentation closes #22280

Parallel active learning in Monte Carlo simulations with Gaussian Process

## Reason Substitute expensive model evaluations in Monte Carlo simulation with Gaussian Process (GP). Actively monitor the GP prediction quality through the uncertainty estimate and re-train the GP when necessary...

T: task

FSI acoustic structure interface document fix

## Bug Description The definitions of the primary and secondary blocks in the `StructureAcousticInterface.md` documentation file are fixed. ## Steps to Reproduce N/A ## Impact No impact to existing objects....

FSI acoustic structure interface document fix

T: defect

P: normal

Fixing test tolerance for bcs/seismicforcez

Bug

Create AuxKernel to combine stress/pressure results for FSI

## Reason An Auxkernel is required to combine the pressures and stresses in an FSI simulation. This enables better visualization in ParaView. ## Design A new AuxKernel will be implemented....

Feature Request

Reliability analysis of a beam example using Adaptive Importance Sampling

## Reason An example on reliability analysis of a beam would demonstrate MASTODON's capabilities to perform Uncertainty Quantification using Markov Chain Monte Carlo algorithms. ## Design An example will be...

Documentation

Create an example with a random material parameter

Create a Timoshenko beam example subjected to a ramp load with random elasticity modulus.