Data Driven Computing and Machine Learning in Engineering 2019
Data Driven Computing and Machine Learning in Engineering 2019 was held at Shanghai, China on September 09-11, 2019. I gave an oral presentation, A Manifold Learning Approach for Multiscale Phase Field Evolution for Fracture, with three groupmates and my master advisor Prof Yongxing Shen.
Strong form for Phase Field
Notes about how to get the strong form (the Euler-Lagrange equations) of phase field.
FEniCS notes: Deflection of a membrane
Compute the deflection $D(x,y)$ of a two-dimensional, circular membrane of radius $R$, subject to a load $p$ over the membrane.
FEniCS notes: Poisson equation
It is a “Hello, World!” program in FEniCS that solves following boundary-value problem.
The 15th U.S. National Congress on Computational Mechanics
The 15th U.S. National Congress on Computational Mechanics was held in downtown Austin from July 28 - Augest 1, 2019. I gave an oral presentation, A Homogenization-based Phase Field Approach to Fracture. Also I joined the poster competition.
Locally linear embedding
LLE is an unsupervised learning algorithm that computes low-dimensional, neighborhood-preserving embeddings of high-dimensional inputs.
Steps
select neighbors
\[\boldsymbol{X}_m = \sum_{i\in S_m} W_{mi} \boldsymbol{X}_i\]
reconstruct with weights
\[\mathcal{F} = \sum^N_{m=1} \| \boldsymbol{X}_m-\sum^N_{i=1} W_{mi} \boldsymb...
The 2nd International Conference on Modeling in Mechanics and Materials
The 2nd International Conference on Modeling in Mechanics and Materials was held at Suzhou, China on March 29-31, 2019. I gave an oral presentation, A Micromechanics-based Phase Field Approach to Fracture, with a groupmate Wenyu Lai and my advisor Prof Yongxing Shen.