Diagrama de interaccion

Shows a persons or pages Facebook posts in an elegant way.

Modeling of strength of high performance concrete using Machine Learning

Concrete Frontend challenge built in Angular 9

ANN Machine Learning Model & Data for predicting concrete strengths

Studied various research papers and chapters to understand about Self-Healing Concrete. In my Review paper, I have mentioned about different kinds of bacteria used for achieving healing properties and methods of testing for flagging the validity of the material prototype.

Domain ontology for concrete

In this project, I explained Singleton pattern and BuilderPattern, both theoretically and with examples.

Master's Thesis project on using machine learning as a part of a SHM assesment on a damaged, post-tensioned bridge.

learn gprMax

build a regression model using the deep learning Keras library, and then experiment with increasing the number of training epochs and changing number of hidden layers and see how changing these parameters impacts the model's performance.

Analysing the concrete dataset from I-Cheng Yeh (1998) with Python, scikit-learn, Bokeh

David Buchanan Concrete Services LLC

Ulepszona analiza wpływu poszczególnych składników na końcową wytrzymałość betonu na ściskanie

Predict the compressive strength of concrete with maximum accuracy and lowest error (evaluation metrics MAE) , for various quantities of constituent components as the input

Material Foundation 3

RC_beams is a tool that gives the nominal resistence of a RC beam with a given reinforcement.

A tiny RC calculator.

An interactive dashboard to explore calibration results

A Hashin 2D Damage Model UMAT for ABAQUS (discontinued)