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Bayesian Machine Learning in Geotechnical Site Characterization

2024-08-07 Computers
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Release : 2024-08-07
Genre : Computers
Kind : eBook
Book Rating : 774/5 ( reviews)

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Book Synopsis Bayesian Machine Learning in Geotechnical Site Characterization by : Jianye Ching

Download or read book Bayesian Machine Learning in Geotechnical Site Characterization written by Jianye Ching. This book was released on 2024-08-07. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization. Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples. Bayesian Machine Learning in Geotechnical Site Characterization suits consulting engineers and graduate students in the area.

Study of AI Based Methods for Characterization of Geotechnical Site Investigation Data

2020 Artificial intelligence
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Release : 2020
Genre : Artificial intelligence
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Study of AI Based Methods for Characterization of Geotechnical Site Investigation Data by : Hui Wang

Download or read book Study of AI Based Methods for Characterization of Geotechnical Site Investigation Data written by Hui Wang. This book was released on 2020. Available in PDF, EPUB and Kindle. Book excerpt: Due to the inadequate knowledge of the soil forming histories and/or human activities, the subsurface soil layers are difficult to ascertain. Subsurface uncertainty and its influence on geotechnical design have long been a challenge facing practitioners. Recently, the ASCE Geo-institute has developed the Data Interchange for Geotechnical and Geoenvironmental Specialists (DIGGS), which is a standard schema for transferring geotechnical data between multiple organizations. It paves the way of sharing and unifying datasets and forms a structural database for further data-driven modeling and analysis. The Office of Geotechnical Engineering at ODOT (OGE) is taking a national leading role in supporting the development efforts of DIGGS and hence make this project possible. In this study, site investigation data in DIGGS format and archived format are jointly processed. An innovative technique developed by the research team has been further improved for better application in real-world projects. Bayesian machine learning is integrated with Markov random field models to infer and simulate subsurface models and geospatial data with quantified uncertainty. Spatial heterogeneity and statistical characteristics are modeled in terms of statistical and spatial patterns. These patterns serve as a basis to provide a synthesized interpretation of the soil profiles with uncertainty quantified. Four (4) validation projects have been performed in this report and the results are well documented. Summary and recommendations for future work are also provided. A short introduction of the key concepts behind this technique, and pathway for converting the existing program into a ready for implementation web-based program for potential ODOT usages are provided in the appendices.

Uncertainty, Modeling, and Decision Making in Geotechnics

2023-12-11 Technology & Engineering
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Release : 2023-12-11
Genre : Technology & Engineering
Kind : eBook
Book Rating : 250/5 ( reviews)

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Book Synopsis Uncertainty, Modeling, and Decision Making in Geotechnics by : Kok-Kwang Phoon

Download or read book Uncertainty, Modeling, and Decision Making in Geotechnics written by Kok-Kwang Phoon. This book was released on 2023-12-11. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty, Modeling, and Decision Making in Geotechnics shows how uncertainty quantification and numerical modeling can complement each other to enhance decision-making in geotechnical practice, filling a critical gap in guiding practitioners to address uncertainties directly. The book helps practitioners acquire a working knowledge of geotechnical risk and reliability methods and guides them to use these methods wisely in conjunction with data and numerical modeling. In particular, it provides guidance on the selection of realistic statistics and a cost-effective, accessible method to address different design objectives, and for different problem settings, and illustrates the value of this to decision-making using realistic examples. Bringing together statistical characterization, reliability analysis, reliability-based design, probabilistic inverse analysis, and physical insights drawn from case studies, this reference guide from an international team of experts offers an excellent resource for state-of-the-practice uncertainty-informed geotechnical design for specialist practitioners and the research community.

Frontiers in Marine Sciences, Social Sciences and Engineering Research Related to Marine (Renewable) Energy Development

2024-07-11 Science
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Release : 2024-07-11
Genre : Science
Kind : eBook
Book Rating : 53X/5 ( reviews)

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Book Synopsis Frontiers in Marine Sciences, Social Sciences and Engineering Research Related to Marine (Renewable) Energy Development by : Zhen Guo

Download or read book Frontiers in Marine Sciences, Social Sciences and Engineering Research Related to Marine (Renewable) Energy Development written by Zhen Guo. This book was released on 2024-07-11. Available in PDF, EPUB and Kindle. Book excerpt: To coordinate the contradiction between economic development and climate change, countries all over the world are vigorously developing renewable energy. Among all renewable energy sources, onshore solar energy, hydro energy and wind energy are limited by the land and environment. The marine is rich in various energies, including marine wind energy, wave energy, tidal energy and marine biomass energy, marine oil and mineral resources. In the development of marine energy, various offshore structures are generally adopted and constructed including offshore wind turbines, wave energy power generation devices, offshore oil and gas exploitation platforms, etc. The safety and reliability of these structures are vital for marine (renewable) energy development. In the meanwhile, marine energy development involves multiple disciplines, which are related to marine biology, chemistry, ecology and the environment. The interdisciplinary studies on these topics are also of significance in marine energy development. In addition, human activities (e.g. marine policy, marine transportation planning, environmental management, economic assessment, and culture) influence the development process of marine energy, which also needs to be investigated.

Geotechnical Reliability Analysis

2023-09-14 Science
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Release : 2023-09-14
Genre : Science
Kind : eBook
Book Rating : 545/5 ( reviews)

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Book Synopsis Geotechnical Reliability Analysis by : Jie Zhang

Download or read book Geotechnical Reliability Analysis written by Jie Zhang. This book was released on 2023-09-14. Available in PDF, EPUB and Kindle. Book excerpt: This textbook systematically introduces the theories, methods, and algorithms for geotechnical reliability analysis. There are a lot of illustrative examples in the textbook such that readers can easily grasp the concepts and theories related to geotechnical reliability analysis. A unique feature of the textbook is that computer codes are also provided through carefully designed examples such that the methods and the algorithms described in the textbook can be easily understood. In addition, the computer codes are flexible and can be conveniently extended to analyze different types of realistic problems with little additional efforts.

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