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-finite-volume-discretisation-of-fracture-deformation-in-thermo-poroelastic-media

3420-proj1

Optimization and Uncertainty Project 1

7135cem

Modelling and Optimization Under Uncertainty

a-fully-coupled-numerical-model-of-thermo-hydro-mechanical-processes-and-fracture-contact-mechanics-

a-polynomial-regression-machine-learning-approach-for-reliability-based-optimization

This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code implements a stochastic response surface method (SRSM) which quantifies the uncertainty in a performance function for the purpose of reliability-based design optimization (RBDO).

aais

Matlab Code to Implement the Adaptive Annealed Importance Sampling (AAIS) Algorithm

abaqus

ABAQUS subroutines

abaqus-fracture-mechanics

About Bayesian Optimization of fracture parameters in extended modified Bai–Wierzbicki (eMBW) model to fit fracture locus on force displacement curves

abaqus-periodic-boundary

Generates RVE with periodic boundary conditions

abaqus_subroutines

A repository of ABAQUS FORTRAN subroutines

adaptive_importance_sampling_power_grids

Adaptive importance sampling (exploiting mirror descent) is used for estimation of a probability of being out of polytope

adaptivemivor

MIVor: An innovative adaptive Kriging approach for efficient problem classification.

agd

Automatic gradient descent

ak-mcs

My version of AK-MCS in Matlab, DACE toolbox is also provided but it is not mine.

ak-mhis

AK-MHIS: an adaptive Kriging method with a multi-layered hyperball-based importance sampling ；struct reliability

amk-mcs-aeff

an active-learning method for reliability analysis based on multi-fidelity kriging model

applet_design

community_management

arxiv_1610_02905

arxiv_1711_01818

assessing-the-role-of-non-linear-contact-mechanics-for-flow-in-fractures---code

Code used to simulate boundary value problems shown in the submitted paper - Assessing the role of non-linear contact mechanics for flow in fractures

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

bayesian-inference-tutorial

A tutorial on Bayesian inference to identify material parameters in solid mechanics

bayesiandeeplearning-survey

Bayesian Deep Learning: A Survey

bayesianneuralnetworks-mcmc-tutorial

Bayesian neural networks via MCMC: tutorial

briny-ice-fracture-mechanics

研究盐水冰的断裂力学，并开发了模型

bv-questionable

Repo for RBDO under statistical uncertainty

calce

锂电池数据集 CALCE

calibrateemulatesample.jl

Stochastic Optimization, Learning, Uncertainty and Sampling

casmcode

First-principles statistical mechanical software for the study of multi-component crystalline solids

ceseda

Code de l'entrée et du séjour des étrangers et du droit d'asile