penghui0616,Penghui Zhang,github

cable-force-optimization-of-a-curved-cable-stayed-bridge

Cable force optimization of a curved cable-stayed bridge with combined simulated annealing method and cubic B-Spline interpolation curves

concrete-properties

Calculate section properties for reinforced concrete sections.

cs_selection

Software for selecting earthquake ground motions to match a target conditional spectrum

data-from-peer

This code download ground motion records from PEER with given RSN numbers automatically

dynamics-earthquake-analysis-of-structures

The main objectives of this individual project are: 1) to further enhance the understanding of the numerical time integration method – Newmark’s algorithm by numerically investigating its accuracy and stability, and by implementing it using a computer programming language (e.g. MatLab, C, C++, or Python); 2) to generate the earthquake response spectra from a particular earthquake; and 3) to undertake an earthquake analysis of a simple frame structure.

explainable_al_infrastructure_damage

fem-with-python

Materials for introductory Finite Element course

fem2d

Matlab code for finite element method (FEM)

feon

Feon is a python-based finite element analysis (FEA,FEM) framework for education and research purpose!

fiber_beam_column

A stand-alone object oriented Python code to model a fiber beam-column reinforced concrete under seismic loading

fragility-analysising-using-python

This is a fragility analysising program for bridges.

ground-motion-generation-using-cwt

Ground motion generation using CWT

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

mcanalysis

This is an auto moment-curvature analysis tool. Mesh generation is accomplished by gmesh, and moment-curvature analysis is running in openseespy platform.

montecarlo-simulation-for-response-spectrum-simulation-and-ground-motion-selection

This jupyter notebook contains the code that is used to simulate response spectrum from target spectrum based on the monte-carlo simulation approach suggested by Jayaram, N., Lin, T., Eeri, M., & Baker, J. W. (2011). A Computationally efficient ground-motion selection algorithm for matching a target response spectrum mean and variance. Earthquake Spectra, 27(3), 1–22. https://doi.org/10.1193/1.3608002. The metadata and papers can be downloaded from this page https://web.stanford.edu/~bakerjw/gm_selection.html