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Literature Synthesis: Batch 01 Agent 3 (Files 81-120)

Paper Summary Table

# Author(s), Year Title Core Finding Method Tags
1 Festugato et al., 2017 Modelling tensile/compressive strength ratio of fibre reinforced cemented soils Superposition model for qt/qu ratio of fibre-cemented soils fits experimental data using critical state + Drucker-Prager criteria Analytical model, lab testing soil, capacity
2 Gordan et al., 2017 Recent developments in damage identification of structures using data mining ANN, PCA, and GA are the most popular data mining techniques for SHM; review classifies methods into classification, prediction, and optimization Literature review SHM, ML
3 Liu & Leung, 2017 Characterising 3D anisotropic spatial correlation of soil properties through in situ test results Proposes method to characterise 3D anisotropic spatial correlation of soil using in situ tests Statistical/geostatistical analysis soil, reliability
4 Moon et al., 2017 Global semi-empirical relationships for correlating soil unit weight with shear wave velocity Develops global correlations between unit weight and shear wave velocity using void-ratio function Semi-empirical regression, Vs testing soil
5 Ouyang & Mayne, 2017 Effective friction angle of clays and silts from piezocone penetration tests CPTu-based limit plasticity solution calibrated on 105 clay sites accurately predicts effective friction angle CPTu, triaxial calibration soil
6 Papazafeiropoulos et al., 2017 A new energy-based structural design optimization concept under seismic actions Energy-based optimization of shear buildings achieves uniform energy dissipation with 91% faster runtime than classical methods Numerical optimization, Newton-Raphson dynamic
7 Soriano et al., 2017 3D fibre architecture of fibre-reinforced sand X-ray tomography reveals anisotropic sub-horizontal fibre orientation in lab-fabricated fibre-sand; confirms "stolen void ratio" effect X-ray CT, lab testing soil
8 Stefanidou et al., 2017 Soil-structure interaction effects in seismic fragility of bridges SSI slightly affects system failure probability but notably changes component fragility, especially for critical damage states FE modelling, fragility analysis dynamic, foundation
9 Sun & Zhou, 2017 Stability and support analysis of coverage rock-soil aggregate of Longhuguan Landslide Proposes calculation model for slope covered by rock-soil aggregate considering rainfall; support design validated by monitoring Analytical, field monitoring soil
10 Zheng et al., 2017 Numerical investigation of spudcan penetration in multi-layer deposits with interbedded sand LDFE analyses extend mechanism-based design methods for spudcan penetration from 2-layer to 3- and 4-layer seabed profiles LDFE FEA, centrifuge validation foundation, centrifuge, offshore wind
11 Fu, 2017 (PhD thesis) Combined VHM loading capacity of preloaded skirted circular foundations in clay Preloading with consolidation significantly enhances undrained bearing capacity of skirted foundations under combined VHM loading Centrifuge testing, FEA suction bucket, foundation, centrifuge, capacity
12 Dunne, 2017 (Oxford) FEA study (content garbled) Content could not be extracted (file contained only figure data) FEA --
13 Taeseri, 2017 (ETH thesis) Non-linear behaviour of foundations in slopes during seismic events Investigates seismic performance of foundations on slopes using centrifuge and numerical methods Centrifuge, numerical foundation, dynamic, centrifuge
14 INNWIND.EU, 2017 LCOE reduction for next-generation offshore wind turbines Final project report on reducing LCOE through innovations in rotor, drivetrain, support structures, and control for 10-20 MW turbines Multi-partner EU project report offshore wind, foundation
15 Korean Ministry, 2017 Offshore wind support structure design criteria and concrete substructure technology Korean national R&D on design standards for offshore wind support structures and concrete substructures National R&D report offshore wind, foundation
16 Abell et al., 2018 Earthquake SSI of nuclear power plants: 3D vs 1D excitation File not found (encoding issue) FEA, SSI modelling dynamic, foundation
17 Ansari et al., 2018 Prototype for soil-pipe interaction: uplift resistance in sand Develops 1-g testing rig for measuring pipe-soil interaction with PIV; quantifies friction and arching effects with scale corrections Physical modelling, PIV soil, pile
18 Arany & Bhattacharya, 2018 Simplified load estimation and sizing of suction anchors for spar buoy floating OWT Provides simplified quasi-static methodology for ULS load estimation and suction caisson sizing for floating wind turbines Analytical, Morison + Airy wave suction bucket, offshore wind, foundation, capacity
19 Baginska & Srokosz, 2018 Optimal ANN model for predicting bearing capacity of shallow foundations on scarce data Deep neural networks (5-7 layers) outperform shallow ANNs for bearing capacity prediction when training data is scarce (as few as 6 samples) ANN/DNN, lab data ML, foundation, capacity
20 Ballas et al., 2018 Influence of early diagenesis on geotechnical properties of clay sediments (Black Sea) Early diagenetic sulfide/carbonate cementation creates weak layers that increase seafloor instability susceptibility Lab + in situ testing soil
21 Barbosa & Galgoul, 2018 Designing piled foundations with a full 3D model Full 3D FE model in DIANA improves lateral displacement prediction of pile groups compared to code-based approaches 3D FEA (DIANA) pile, foundation, offshore wind
22 Beniston et al., 2018 European mountain cryosphere review File not found (encoding issue) Review --
23 Biage, 2018 Asymptotical solution for gas-liquid flow transition Minimal content extracted (too short) Analytical --
24 Brandt, 2018 Signal processing framework for operational modal analysis in time and frequency domain Full-signal DFT-based spectral/correlation estimation outperforms Welch's method for OMA; includes harmonic removal methods FDE and ODD Signal processing, OMA SHM, dynamic
25 Hobday et al. (CSIRO), 2018 Categorizing and naming marine heatwaves Proposes Category I-IV MHW classification; finds 24% increase in area of strong (Cat II) MHWs Climate data analysis --
26 Cai et al., 2018 New approach of vacuum preloading with booster PVDs for deep marine clay Booster PVD replacing conventional booster tubes improves vacuum preloading effectiveness for >20 m marine clay Field test soil
27 Cao et al., 2018 Bayesian identification of soil stratigraphy based on soil behaviour type index Bayesian + subset simulation approach identifies soil stratigraphy from CPT data with uncertainty quantification Bayesian inference, CPT soil, reliability
28 Carroll et al., 2018 Wind turbine gearbox failure and RUL prediction using ML ANNs predict gearbox failure 1-6 months ahead; vibration data achieves 100% detection vs 72-75% with SCADA ANN, SCADA/vibration data ML, offshore wind, SHM
29 Chee et al., 2018 Controlling lateral buckling of subsea pipeline with sinusoidal pre-deformation Sinusoidal pre-deformation reliably initiates engineered buckles in HPHT pipelines Analytical/numerical offshore wind
30 Chen & Duffour, 2018 Modelling damping sources in monopile-supported OWT Hydrodynamic damping is much smaller than usually recommended and can be ignored; soil damping strongly depends on nonlinear soil behaviour Simplified analytical, FAST offshore wind, foundation, dynamic, pile
31 Ching et al., 2018 Generic transformation models for intact rock properties Compiles ROCK/9/4069 database (184 studies); existing transformation models are more site-specific for rock than soil Statistical analysis, database soil, reliability
32 Davidson et al., 2018 Modified CPT-based installation torque prediction for large screw piles in sand CPT-based torque prediction method validated for centrifuge and field-scale screw piles including multi-helix configurations Centrifuge, CPT pile, centrifuge, offshore wind, foundation
33 Dimitrov et al., 2018 Wind to loads: site-specific load estimation with surrogate models Polynomial chaos expansion provides accurate site-specific fatigue load predictions; Sobol indices identify key environmental variables Surrogate modelling, PCE, Kriging offshore wind, ML, reliability
34 Duan et al., 2018 DEM analysis of pile installation: bored vs driven pile Driven piles outperform bored piles in load tests due to soil compression during driving; soil friction affects the two types differently DEM (PFC2D) pile, foundation
35 Dunne & Jerolmack, 2018 Bimodal transport states in alluvial rivers Alluvial rivers show bimodal (near-threshold vs suspension) transport states rather than a continuum Field data reanalysis --
36 El-Shahat, 2018 Advanced applications for artificial neural networks Introductory chapter covering ANN fundamentals: architecture, training, overfitting, MATLAB implementation Textbook/review ML
37 Feng et al., 2018 Load capacity of caisson anchors exposed to seabed trenching Quantifies load capacity reduction of caisson anchors due to seabed trenching FEA suction bucket, foundation, capacity, offshore wind
38 Florens et al., 2018 Scour monitoring on bridge pier: methodology and implementation Develops continuous real-time scour monitoring combining bathymetric and flow measurements with vibration-based monitoring Field instrumentation scour, SHM
39 Garala & Madabhushi, 2018 Seismic behaviour of soft clay and its influence on friction pile foundations Soft clay amplifies weak earthquakes but attenuates strong ones; pile group response depends on earthquake intensity and clay stiffness Centrifuge (50g), DEEPSOIL pile, centrifuge, dynamic, soil
40 Gasca-Aragon, 2018 R package 'uncertainty': Uncertainty estimation and contribution analysis R package implementing Gaussian, Kragten, and Monte Carlo methods for measurement uncertainty Software package reliability

Synthesis

1. CONSENSUS

  • ML/ANN effectiveness for geotechnical prediction: Multiple papers (Gordan 2017, Baginska 2018, Carroll 2018, Dimitrov 2018) converge on neural networks and surrogate models as effective tools for prediction tasks in geotechnical and wind energy applications. Deep networks outperform shallow ones even with scarce data.
  • Soil nonlinearity matters for dynamic response: Chen (2018), Garala (2018), and Stefanidou (2017) all emphasize that soil nonlinear behaviour is critical for accurate dynamic analysis of foundations and structures. Simplified linear assumptions lead to significant errors in damping, amplification, and fragility estimates.
  • Centrifuge testing remains essential for validation: Fu (2017), Zheng (2017), Davidson (2018), Garala (2018), and Taeseri (2017) all rely on centrifuge modelling to validate numerical and analytical methods, confirming it as the gold standard for stress-level-accurate physical modelling.
  • CPT as a versatile site characterization tool: Ouyang (2017), Cao (2018), and Davidson (2018) demonstrate CPT's broad applicability for deriving friction angle, stratigraphy, and installation torque predictions.

2. DEBATES

  • Damping magnitude for OWT design: Chen (2018) finds hydrodynamic damping is negligible for monopile OWTs, contradicting commonly recommended values in design guidelines. Soil damping estimates vary widely depending on nonlinear model assumptions.
  • Surrogate model choice: Dimitrov (2018) compares five surrogate methods and finds PCE and Kriging both accurate but with different computational tradeoffs; the best method depends on problem dimension and computational budget.
  • SSI significance: Stefanidou (2017) shows SSI has modest system-level effects but notable component-level effects, challenging the common practice of ignoring SSI in system-level assessment.
  • Data-specific vs generic models for geomaterials: Ching (2018) finds rock property transformation models are more site-specific than soil models, questioning the universality of empirical correlations.

3. GAPS

  • SHM for offshore wind foundations: Only Carroll (2018) and Florens (2018) address monitoring; neither targets offshore wind foundations directly. Scour monitoring for OWT foundations is essentially absent from this batch.
  • Suction bucket under combined dynamic + scour loading: Arany (2018), Fu (2017), and Feng (2018) each address suction buckets/caissons for specific load cases, but none combine scour effects with dynamic/cyclic loading -- a critical gap for OWT lifecycle design.
  • ML for foundation capacity under uncertainty: Baginska (2018) addresses scarce-data ML for bearing capacity, but no paper combines ML with reliability-based design for offshore foundations.
  • Field-scale validation of centrifuge results: While centrifuge testing is widely used, systematic field-scale validation campaigns remain scarce in this literature set.
  • Vibration-based scour detection for OWT: Florens (2018) applies vibration-based scour monitoring to bridges only; translation to monopile or suction bucket foundations is unexplored.

4. METHODS INVENTORY

Method Papers Using It
Centrifuge modelling Fu 2017, Zheng 2017, Taeseri 2017, Davidson 2018, Garala 2018
FEA (3D/LDFE) Zheng 2017, Barbosa 2018, Feng 2018
DEM Duan 2018
ANN/DNN Gordan 2017, Baginska 2018, Carroll 2018, El-Shahat 2018
Surrogate modelling (PCE, Kriging) Dimitrov 2018
Bayesian inference Cao 2018
CPT-based correlations Ouyang 2017, Davidson 2018, Cao 2018
Signal processing / OMA Brandt 2018
Fragility / reliability analysis Stefanidou 2017, Dimitrov 2018
Analytical (closed-form) Festugato 2017, Arany 2018, Chen 2018
Field monitoring Sun 2017, Cai 2018, Florens 2018

5. BENCHMARKS AND REFERENCE DATA

  • ROCK/9/4069 database (Ching 2018): 4069 data points from 184 studies covering 9 intact rock properties -- the most comprehensive global rock property database identified.
  • 105 clay sites for CPTu friction angle (Ouyang 2017): Benchmark dataset for CPTu-interpreted effective friction angle across marine, alluvial, lacustrine, deltaic, and glacio-fluvial clays.
  • DTU 10 MW reference turbine (Dimitrov 2018): Standard reference turbine used for surrogate load model training; 10 sites evaluated for site-specific fatigue loads.
  • Hywind case study (Arany 2018): Reference case for simplified suction anchor sizing methodology for spar-buoy floating OWT.
  • INNWIND.EU project outcomes (2017): Reference LCOE targets and technology roadmaps for 10-20 MW next-generation offshore wind turbines.
  • Carroll (2018) gearbox failure database: One of the largest wind turbine operational/reliability databases with thousands of gearbox failure examples and complete SCADA/vibration records.