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Engineering Geology in the Face of Uncertainty
Engineering Geology in the Face of Uncertainty
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228,05 €
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325,79 €
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Engineering work in or on the ground must deal with geological material of an uncertain nature. Engineering geology applies geological understanding to engineering problems and deals appropriately with ground-related uncertainty. So practical investigation and interpretation techniques need to be applied in a project holistic manner. This moves from the fundamentals of geotechnical engineering and geology to ground-related uncertainty. It covers the range from ground investigation, ground docum…

Engineering Geology in the Face of Uncertainty (el. knyga) (skaityta knyga) | knygos.lt

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Engineering work in or on the ground must deal with geological material of an uncertain nature. Engineering geology applies geological understanding to engineering problems and deals appropriately with ground-related uncertainty. So practical investigation and interpretation techniques need to be applied in a project holistic manner.

This moves from the fundamentals of geotechnical engineering and geology to ground-related uncertainty. It covers the range from ground investigation, ground documentation and modeling across the planning and construction phases, illustrated with case studies, and using modern digital tools such as remote sensing, machine learning, parametric modeling or building information modeling. It suits specialist practitioners, students and researchers.

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Engineering work in or on the ground must deal with geological material of an uncertain nature. Engineering geology applies geological understanding to engineering problems and deals appropriately with ground-related uncertainty. So practical investigation and interpretation techniques need to be applied in a project holistic manner.

This moves from the fundamentals of geotechnical engineering and geology to ground-related uncertainty. It covers the range from ground investigation, ground documentation and modeling across the planning and construction phases, illustrated with case studies, and using modern digital tools such as remote sensing, machine learning, parametric modeling or building information modeling. It suits specialist practitioners, students and researchers.

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