Works matching DE "GEOTECHNICAL engineering"
Results: 2608
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- Ground Water Monitoring & Remediation, 2025, v. 45, n. 1, p. 103, doi. 10.1111/gwmr.12700
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Assessment of the Hydraulic Profiling Tool for Lower Permeability Characterization.
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- Ground Water Monitoring & Remediation, 2025, v. 45, n. 1, p. 88, doi. 10.1111/gwmr.12685
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Integrated analysis of landslide susceptibility: geotechnical insights, frequency ratio method, and hazard mitigation strategies in a volcanic terrain.
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- Arabian Journal of Geosciences, 2025, v. 18, n. 3, p. 1, doi. 10.1007/s12517-025-12221-5
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Evaluation of open pit mine design with a focus on the Dichinama marble resource in Western Tigray, Ethiopia.
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- Arabian Journal of Geosciences, 2025, v. 18, n. 3, p. 1, doi. 10.1007/s12517-025-12200-w
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Structural monitoring of concrete, steel, and composite bridges in Poland with distributed fibre optic sensors.
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- Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance, 2024, v. 20, n. 7/8, p. 1213, doi. 10.1080/15732479.2023.2230558
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A comparative study of soil classification machine learning models for construction management.
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- International Journal of Construction Management, 2025, v. 25, n. 5, p. 584, doi. 10.1080/15623599.2024.2341500
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Reliability analysis of pile group in spatially variable unsaturated expansive soil based on load transfer method.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 3, p. 609, doi. 10.1080/17499518.2023.2225178
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Special Issue on "Data-Centric Geotechnics for Practice".
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 1, doi. 10.1080/17499518.2024.2318849
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Future of Machine Learning in Geotechnics (FOMLIG), 5–6 Dec 2023, Okayama, Japan.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 288, doi. 10.1080/17499518.2024.2316882
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Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on "Machine Learning Supremacy Projects": 5 December 2023, Okayama Convention Center, Okayama, Japan.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 304, doi. 10.1080/17499518.2024.2316879
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Uncertainty, modeling, and decision making in geotechnics: edited by Kok-Kwang Phoon, Takayuki Shuku, and Jianye Ching, Boca Raton, CRC Press, 2024, 502 pp., ISBN: 978-1-032-36749-1 (hbk), ISBN: 978-1-032-36750-7 (pbk), ISBN: 978-1-003-33358-6 (ebk), $315 hardback, doi:10.1201/9781003333586
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- 2024
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- Book Review
Evaluation structures for machine learning models in geotechnical engineering.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 52, doi. 10.1080/17499518.2024.2313485
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Digital geotechnics: from data-driven site characterisation towards digital transformation and intelligence in geotechnical engineering.
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- Georisk: Assessment & Management of Risk for Engineered Systems & Geohazards, 2024, v. 18, n. 1, p. 8, doi. 10.1080/17499518.2023.2278136
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Predicting uplift capacity of group anchors in sand using 3D FELA and MARS.
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- Marine Georesources & Geotechnology, 2025, v. 43, n. 4, p. 607, doi. 10.1080/1064119X.2024.2346832
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Discussion of "Particle breakage characteristics and grading evolution of calcareous sand under various stress paths", by Mingxing Luo, Xiaoxuan Liu, Li Zhong and Cai Wu; Marine Georesources & Geotechnology, DOI: 10.1080/1064119X.2024.2302060.
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- Marine Georesources & Geotechnology, 2025, v. 43, n. 4, p. 676, doi. 10.1080/1064119X.2024.2332389
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Geotechnical Assessment of the Construction Site For Residential Complexes.
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- Nature & Science / Təbiət və Elm, 2025, v. 7, n. 2, p. 35, doi. 10.36719/2707-1146/53/35-41
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Bio-reinforcement efficiency of enzyme-induced carbonate precipitation modified by sword bean crude urease combined with multiple enhancers on bio-cemented sand.
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- Acta Geotechnica, 2025, v. 20, n. 3, p. 1193, doi. 10.1007/s11440-024-02436-3
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Discussion to the article Undrained shear strength prediction of clays using liquidity index, by Q. Wang, S. Qiu, H. Zheng, R. Zhang.
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- Acta Geotechnica, 2025, v. 20, n. 3, p. 1495, doi. 10.1007/s11440-024-02385-x
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Influence of creep–slip fracture length on the local deformation field and fracture characteristics of rock-like models.
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- Environmental Earth Sciences, 2025, v. 84, n. 3, p. 1, doi. 10.1007/s12665-025-12101-x
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Prediction of elastic settlement of rectangular footing using machine learning techniques.
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- Arabian Journal of Geosciences, 2025, v. 18, n. 2, p. 1, doi. 10.1007/s12517-025-12199-0
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ROCK SLOPE STABILITY DESIGN.
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- Civil Engineering Journal, 2024, v. 33, n. 4, p. 1, doi. 10.14311/CEJ.2024.04.0037
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A Review on the Progress of Integrated Geophysical Exploration Techniques for Leakage Hazard Detection in Earth and Rock Dams.
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- Applied Sciences (2076-3417), 2025, v. 15, n. 4, p. 1767, doi. 10.3390/app15041767
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Optimization of inputs for the application of ANN to rail track granular materials.
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- Canadian Geotechnical Journal, 2025, v. 62, p. 1, doi. 10.1139/cgj-2024-0384
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Determination of Basalt Fiber Reinforcement in Kaolin Clay: Experimental and Neural Network-Based Analysis of Liquid Limit, Plastic Limit, and Unconfined Compressive Strength.
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- Processes, 2025, v. 13, n. 2, p. 377, doi. 10.3390/pr13020377
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Strength Model for Cement-Stabilized Marine Clay: SEM Image Analysis and Microstructural Insights.
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- Journal of Marine Science & Engineering, 2025, v. 13, n. 2, p. 388, doi. 10.3390/jmse13020388
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International Collaboration Delivers Geotechnical Carbon Calculator.
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- Concrete International, 2013, v. 35, n. 7, p. 24
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An efficient IoT-based soil image recognition system using hybrid deep learning for smart geotechnical and geological engineering applications.
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- Multimedia Tools & Applications, 2024, v. 83, n. 25, p. 66591, doi. 10.1007/s11042-024-18230-y
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Analytical, Numerical and Experimental Studies on Steady-State Seepage Through 3D Rockfill Trapezoidal Dikes.
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- Mine Water & the Environment, 2021, v. 40, n. 4, p. 931, doi. 10.1007/s10230-021-00798-8
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Evaluation of Hydraulic Conductivity of Itabirites of the Alegria Centro and Alegria Sul Open Pits, Samarco Mineração S.A., Minas Gerais State, Brazil.
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- Mine Water & the Environment, 2016, v. 35, n. 2, p. 136, doi. 10.1007/s10230-015-0328-6
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Estimation of hydraulic properties of evaporitic rocks in southern Saskatchewan, Canada.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 11, p. 8677, doi. 10.1007/s10064-021-02404-1
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An early-warning method for rock failure based on Hurst exponent in acoustic emission/microseismic activity monitoring.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 10, p. 7791, doi. 10.1007/s10064-021-02446-5
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Shear creep experiments and modeling of granite under dry-wet cycling.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 7, p. 5897, doi. 10.1007/s10064-021-02282-7
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GPU material point method (MPM) and its application on slope stability analysis.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 7, p. 5437, doi. 10.1007/s10064-021-02265-8
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Experimental study on the coupled behavior of dynamic cracking and moisture-heat evolution of a clay under evaporation.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 6, p. 4943, doi. 10.1007/s10064-021-02126-4
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Use of multisensor and multitemporal geospatial datasets to extract the foundation characteristics of a large building: a case study.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 4, p. 3251, doi. 10.1007/s10064-021-02116-6
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Slope reliability evaluation based on multi-objective grey wolf optimization-multi-kernel-based extreme learning machine agent model.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 3, p. 2011, doi. 10.1007/s10064-020-02090-5
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Finite-element modeling of submarine landslide triggered by seismic loading in saturated cohesive soil deposits.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 2, p. 951, doi. 10.1007/s10064-020-02005-4
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Deformation characteristics of anti-dip rock slope controlled by discontinuities: a case study.
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- Bulletin of Engineering Geology & the Environment, 2021, v. 80, n. 2, p. 905, doi. 10.1007/s10064-020-02001-8
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Stratigraphic uncertainty characterization using generalized coupled Markov chain.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 10, p. 5061, doi. 10.1007/s10064-020-01883-y
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A photogrammetric method for laboratory-scale investigation on 3D landslide dam topography.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 9, p. 4717, doi. 10.1007/s10064-020-01870-3
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Experimental study of the microstructure of loess on its macroscopic geotechnical properties of the Baozhong railway subgrade in Ningxia, China.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 9, p. 4829, doi. 10.1007/s10064-020-01816-9
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Development of a combined mining technique to protect the underground workspace above confined aquifer from water inrush disaster.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 7, p. 3649, doi. 10.1007/s10064-020-01803-0
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Probabilistic stability analysis of earth dam slope under transient seepage using multivariate adaptive regression splines.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 6, p. 2763, doi. 10.1007/s10064-020-01730-0
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Analyse numérique et expérimentale du comportement des ouvrages fondés sur un sol mou renforcé par des colonnes ballastées flottantes.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 5, p. 2721, doi. 10.1007/s10064-019-01689-7
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The behavior of mass migration and loss in fractured rock during seepage.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 2, p. 739, doi. 10.1007/s10064-019-01581-4
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Application and comparison of squeezing estimation methods for Himalayan tunnels.
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- Bulletin of Engineering Geology & the Environment, 2020, v. 79, n. 1, p. 205, doi. 10.1007/s10064-019-01530-1
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Characterization of a jointed rock mass based on fractal geometry theory.
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 8, p. 6101, doi. 10.1007/s10064-019-01526-x
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The effect of plastic fines on the shear modulus and damping ratio of silty sands.
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 8, p. 5865, doi. 10.1007/s10064-019-01522-1
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An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu).
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 6, p. 4579, doi. 10.1007/s10064-018-1400-9
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Utilization of the accelerated weathering test method for evaluating the durability of sedimentary rocks.
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- Bulletin of Engineering Geology & the Environment, 2019, v. 78, n. 4, p. 2697, doi. 10.1007/s10064-018-1267-9
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