Matlab Geotechnical

Practice of Bayesian Probability Theory in Geotechnical Engineering  eBooks & eLearning

Posted by AvaxGenius at Nov. 13, 2020
Practice of Bayesian Probability Theory in Geotechnical Engineering

Practice of Bayesian Probability Theory in Geotechnical Engineering by Wan-Huan Zhou
English | PDF | 2021 | 336 Pages | ISBN : 9811591040 | 17 MB

This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil–water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept.

Modeling and Computing for Geotechnical Engineering: An Introduction  eBooks & eLearning

Posted by roxul at March 19, 2019
Modeling and Computing for Geotechnical Engineering: An Introduction

Mohammed Shamin Rahman, Mehmet Baris Can Ulker, "Modeling and Computing for Geotechnical Engineering: An Introduction"
English | ISBN: 149877167X | 2018 | 507 pages | PDF | 11 MB

Practice of Bayesian Probability Theory in Geotechnical Engineering  eBooks & eLearning

Posted by hill0 at Nov. 18, 2020
Practice of Bayesian Probability Theory in Geotechnical Engineering

Practice of Bayesian Probability Theory in Geotechnical Engineering
by Wan-Huan Zhou

English | 2021 | ISBN: 9811591040 | 475 Pages | EPUB | 79 MB
Modelling with Transparent Soils: Visualizing Soil Structure Interaction and Multi Phase Flow, Non-Intrusively

Modelling with Transparent Soils: Visualizing Soil Structure Interaction and Multi Phase Flow, Non-Intrusively By Magued Iskander (auth.)
2010 | 335 Pages | ISBN: 3642025005 | PDF | 17 MB

A Primer on Machine Learning Applications in Civil Engineering  eBooks & eLearning

Posted by ksveta6 at May 29, 2020
A Primer on Machine Learning Applications in Civil Engineering

A Primer on Machine Learning Applications in Civil Engineering by Paresh Chandra Deka
2019 | ISBN: 113832339X | English | 280 pages | PDF | 17 MB
Optimal Measurement Methods for Distributed Parameter System Identification (Repost)

Dariusz Ucinski, "Optimal Measurement Methods for Distributed Parameter System Identification"
2004 | pages: 342 | ISBN: 0849323134 | PDF | 9,6 mb

Seismic Analysis of Structures  eBooks & eLearning

Posted by DZ123 at May 21, 2019
Seismic Analysis of Structures

T. K. Datta, "Seismic Analysis of Structures"
English | 2010 | ISBN: 0470824611 | PDF | pages: 462 | 10.1 mb

Gradient Smoothing Methods with Programming: Applications to Fluids and Landslides  eBooks & eLearning

Posted by yoyoloit at Feb. 3, 2024
Gradient Smoothing Methods with Programming: Applications to Fluids and Landslides

Gradient Smoothing Meethods with Programming : Applications to Fluids and Landslides (287 Pages)
by G R Liu & Zirui Mao

English | 2024 | ISBN: 9811280002 | 288 pages | True PDF | 162.45 MB