An Engineering Study of the Subsurface Soil Conditions Within the Village of Potsdam, State of New York PDF Download
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Author: Robert Lionel Schrader
Publisher:
ISBN:
Category : Borings
Languages : en
Pages :
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Book Description
Author: Robert Lionel Schrader
Publisher:
ISBN:
Category : Borings
Languages : en
Pages :
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Book Description
Author: David J. Hatem
Publisher: John Wiley & Sons
ISBN: 9780471156079
Category : Technology & Engineering
Languages : en
Pages : 488
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Book Description
Subsurface projects can spell tremendous liability and risk concerns for geotechnical engineers, who pay among the highest liability insurance rates among A/E/C professionals. Written for a non-legal audience by a recognized liability authority, this helpful book brings together the information and expertise needed to manage the non-technical aspects of such projects. Discusses the implications of errors and omissions, applicable law, bid and contract document disclosure, and much more. Filled with relevant case studies.
Author: Keith Turner
Publisher: Springer
ISBN: 3540480196
Category : Science
Languages : en
Pages : 418
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Book Description
Characterisation of the shallow subsurface has gained in importance as civil and geotechnical engineering and environmental applications have become more dependent on a precise definition of geomechanical and geohydrological properties. A better understanding of the subsurface conditions offers wide-ranging benefits to governments, industry and individual citizens. Subsurface geological modelling became an economic and technologic reality in the late 1980's, when competing 3-D geoscientific information systems were the subject of considerable research and evaluation, especially by the petroleum exploration industry. Investigations in the shallow subsurface impose additional requirements that have only recently become technically and economically achievable. The very shallow urban underground environment, where many infrastructure and utilities elements are located, presents the most difficult characterisation problems. Subsurface modelling techniques have matured, along with modern data base concepts. The evolution of the Internet and Web-browser technologies has expanded information transmission and dissemination capabilities. Subsurface models are being integrated with decision-support systems to provide predictions of technical and economic performance. Yet even the most sophisticated of these models leave some uncertainty in geologic interpretation. A variety of techniques for assessing uncertainty have been developed and are being evaluated.
Author: Goldberg, Zoino, Dunnicliff and Associates, Inc
Publisher:
ISBN:
Category : Columbia Point, Boston (Mass.)
Languages : en
Pages : 22
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Book Description
... this report presents the results of a preliminary study of subsurface conditions for the Columbia Point Redevelopment Program; purpose and scope has been to prepare a planning phase geotechnical report for prospective developers of the Columbia Point area; includes soil profiles, groundwater observations, methane concerns; this item was in the BRA collection ...
Author: Robert Stanley Burg
Publisher:
ISBN:
Category : Geology
Languages : en
Pages : 12
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Book Description
"A study was made of the subsurface conditions in Stephens, Eastland and northern Brown Counties, Texas, to determine the structure of the deep producing horizon. The purpose of the work was to locate structural conditions favorable for oil accumulation not apparent at the surface"--Leaf [2].
Author: Goldberg Zoino Dunnicliff And Assoc
Publisher: Forgotten Books
ISBN: 9780332932507
Category : Technology & Engineering
Languages : en
Pages : 316
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Book Description
Excerpt from Report on Preliminary Study of Subsurface Conditions and Evaluation of Foundation Requirements Columbia Point Redevelopment Program, Boston, Massachusetts: For Boston Housing Authority, Boston, Massachusetts A supplemental subsurface exploration program consisting of 22 test borings, 22 test pits, 9 groundwater observation wells and 4 methane observation wells was developed. (bha and bra land) (figure 2) About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Author: Whiteshell Nuclear Research Establishment
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author:
Publisher:
ISBN:
Category : Geotechnical engineering
Languages : en
Pages : 39
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Book Description
"TRB National Cooperative Highway Research Program (NCHRP) Synthesis 484: Influence of Geotechnical Investigation and Subsurface Conditions on Claims, Change Orders, and Overruns documents the extent and type of claims, change orders, and cost overruns from subsurface conditions for state departments of transportation (DOTs). The report also identifies practices used by agencies to reduce such claims, change orders, and cost overruns."--Publisher's description.
Author: Morton, Dodds and Partners Limited
Publisher:
ISBN:
Category : Clay
Languages : en
Pages : 18
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Book Description
Author: Siddharth Misra
Publisher: Gulf Professional Publishing
ISBN: 0128177373
Category : Technology & Engineering
Languages : en
Pages : 442
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Book Description
Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. - Learn from 13 practical case studies using field, laboratory, and simulation data - Become knowledgeable with data science and analytics terminology relevant to subsurface characterization - Learn frameworks, concepts, and methods important for the engineer's and geoscientist's toolbox needed to support
