Results 41 to 50 of about 2,508,110 (310)
Back Analysis of Geotechnical Engineering Based on Data-Driven Model and Grey Wolf Optimization
Applied Sciences, 2022 Geomaterial mechanical parameters are critical to implementing construction design and evaluating stability through feedback analysis in geotechnical engineering.
Lihong Zhao +3 more
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La boîte à outils géotechnique de demain: conception des structures géotechniques selon EN 1997: 202x [PDF]
, 2019 This paper shows how three new concepts – ‘Design Cases’ (introduced in prEN 1990), the ‘Geotechnical Design Model’ (prEN 1997-1), and the ‘Ground Model’ (prEN 1997-2) – are combined (in prEN 1997-3) to provide a comprehensive and flexible set of tools ...
Arroyo Alvarez de Toledo, Marcos +3 more
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Numerical evaluation of the soil behavior during impact driving of pipe-piles [PDF]
, 2019 During the impact driving of pipe-piles, the soil is influenced in different ways including the void ratio, stress distribution, and plugging formation.
Aubram, Daniel +3 more
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Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review
Discover Civil EngineeringGeotechnical engineering plays a crucial role in evaluating seismic hazards, especially in areas prone to earthquakes, ensuring that infrastructure remains resilient.
S. Harle, Rajan Wankhade
semanticscholar +1 more source
Journal of Marine Science and Engineering, 2020 Pile foundation is one of the common foundation forms in marine geotechnical engineering, especially in wind power engineering. Its operation safety is seriously affected by many uncertainties, such as the randomness of ground motion in intensity and ...
Min Xiong, Yu Huang
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Research and Application of Geotechnical Data Consistency in Marine Site Exploration
南方能源建设, 2023 [Introduction] The current marine geological exploration, particularly the geotechnical investigation, often follows traditional experiences without a clear objective, and lacks the evaluations of soil sample disturbance and test results.
Haifeng NIU +4 more
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Neural computing & applications (Print)Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble learning (EL) are four outstanding approaches that enable algorithms to extract information from data and make predictions or decisions autonomously without the ...
E. Yaghoubi +3 more
semanticscholar +1 more source
Artificial Intelligence ReviewSignificant uncertainties can be found in the modelling of geotechnical materials. This can be attributed to the complex behaviour of soils and rocks amidst construction processes.
Hongchen Liu +3 more
semanticscholar +1 more source
Applied SciencesThe digital wave, represented by new technologies such as big data, IoT, and artificial intelligence, is sweeping the globe, driving all industries toward digitalization and intelligent transformation.
Wenhui Tan +3 more
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Engineering geology maps of the UK [PDF]
, 2010 School and university students of geology, engineering geology and geotechnical engineering generally have less knowledge of engineering geological conditions than those who have had experience of hands-on research or practice.
Dobbs, Marcus +3 more
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