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Batch 06 Agent 4 -- Literature Synthesis (Files 1121-1160)

Individual Paper Summaries

# Author(s) Year Title Core Finding Method Tags
1 Wu et al. 2019 Numerical simulation of spudcan-soil interaction using improved SPH Improved SPH captures excess pore water pressure during spudcan penetration in clay; validated against centrifuge data Smoothed particle hydrodynamics (SPH), centrifuge validation geotechnics, large-deformation, spudcan, numerical
2 Aguilera et al. 2025 Hydro-elastic coupling effect on spar-type FOWT dynamic response Rigid floater assumption causes 37% eigenfrequency error; adding floater flexibility + added mass reduces error to 5% In-situ sensor data, hydro-servo-aero-elastic modelling (Zefyros turbine) FOWT, spar, eigenfrequency, hydro-elastic
3 Arivin et al. 2026 Autoencoder-based anomaly detection for turbofan engine sensors Autoencoder with MSE reconstruction detects ~1% anomalies in unlabeled C-MAPSS FD001 data at 95th percentile threshold Autoencoder, MSE reconstruction error anomaly-detection, autoencoder, sensor-data
4 Berdugo et al. 2023 SeaFEM-OpenFAST coupled tool for floating offshore multi-wind turbines Coupled aero-hydro-servo-elastic framework demonstrated on W2Power dual-turbine platform SeaFEM + OpenFAST coupling, time-domain FEM FOWT, multi-turbine, coupled-simulation
5 Bernardes et al. 2024 Tailings characterization: laser granulometry with ML ML demonstrates compatibility between laser and conventional granulometry for iron ore tailings classification Machine learning, laser granulometry vs. sieve-hydrometer tailings, granulometry, ML, mining
6 Bull et al. 2025 Probabilistic digital-twin-informed risk-based inspection planning for OWT Ensemble of probabilistic digital twins (not single most-likely) improves risk-based inspection decisions via SHM-OMA integration Bayesian updating, OMA, probabilistic digital twin, RBI SHM, digital-twin, OWT, inspection
7 Cerfontaine et al. 2023 Silent piling for offshore jacket foundations in sand: DEM and centrifuge Screw piles can be installed by rotary jacking at low reaction force; DEM matches centrifuge data for advancement ratio effects DEM, geotechnical centrifuge piling, screw-pile, noise-mitigation, offshore
8 Cho 2024 Optimization of semisubmersible FOWT for Oregon coast via OpenFAST 30% increase in cylinder spacing reduces stress factors by 1.2-3.2% for OC4 semisubmersible OpenFAST simulation, parametric optimization FOWT, semisubmersible, optimization
9 Drangsfeldt 2023 Vibration-based SHM of a laboratory-scale wind turbine blade Combined implicit-explicit EOV mitigation (PCA + Bayesian regression) shows superior damage detection using non-physical DSFs VAR models, PCA, Bayesian regression, Mahalanobis distance SHM, wind-turbine-blade, EOV, damage-detection
10 Escala 2018 The principle of similitude in biology: from allometry to dimensionally homogeneous laws Buckingham Pi theorem unifies metabolic rate allometry across mammals, birds, invertebrates into a single dimensionally homogeneous formula Dimensional analysis, Pi theorem similitude, dimensional-analysis, allometry
11 Guan & Wang 2024 Data-driven simulation of multivariate cross-correlated geotechnical random fields from sparse measurements Joint sparse representation directly generates 2D cross-correlated random fields from sparse data without explicit correlation parameters Sparse representation, random field simulation geotechnics, random-field, sparse-data, reliability
12 Gunasekaran et al. 2025 Real-time soil fertility analysis and crop prediction using ML/DL ML and DL models integrating soil metrics and meteorological data enable real-time soil fertility prediction for sustainable agriculture Machine learning, deep learning soil, agriculture, ML, prediction
13 Gomez et al. XXXX Vibration-based early detection of blade ice accumulation using Extended Isolation Forest EIF on triaxial accelerometer data successfully detects ice accumulation on blades using healthy-condition training only Extended Isolation Forest, vibration analysis, unsupervised SHM, ice-detection, blade, anomaly-detection
14 Henneberg & Richards 2022 Implementing a rapid deployment bridge scour monitoring system in Colorado Sonar-based rapid-deploy scour monitoring system tested on two Colorado bridges; practical deployment lessons documented Sonar instrumentation, field monitoring scour, bridge, monitoring, field-deployment
15 Jatoliya et al. 2024 Scour depth prediction using ML for offshore tripod foundations ANN-PSO achieves R2=0.99 for scour depth prediction around tripods, outperforming standalone ANN and ANFIS ANN, ANFIS, ANN-PSO, 99 experimental data points scour, tripod, offshore, ML
16 Khatti & Kontoni 2025 Assessment of bearing capacity of concrete piles using bio/swarm-optimized ANN ABC-optimized ANN achieves >95% accuracy for pile bearing capacity in alluvial soils (194 data points) ANN with PSO/HHO/GWO/GA/ABC optimization pile, bearing-capacity, ANN, optimization
17 Lee & Lin XXXX Deep learning autoencoder for outlier detection in PK concentration-time data Autoencoder handles variable-length time-series PK data for outlier detection, overcoming CWRES and visual inspection limitations Autoencoder, pharmacokinetics autoencoder, outlier-detection, pharmacokinetics
18 Lima et al. 2021 Operational modal analysis and structural health monitoring OMA enables periodic modal parameter identification under ambient excitation for SHM of civil structures; recent advances in uncertainty quantification OMA, stochastic subspace identification OMA, SHM, modal-analysis, review
19 Liu & Chertkov 2024 Anomalous response of FOWT to wind and waves MCMC simulation (10,000 trials) differentiates short- and long-correlated anomalies in FOWT response; wind dominates long-term pitch anomalies MCMC, reduced-order Betti model, TLP FOWT FOWT, extreme-events, anomaly, MCMC
20 Liu et al. 2017 Nonlinear FEA of limit state and pressure of dented X60 pipeline Parametric FEA yields engineering-applicable limit pressure prediction model for dented X60 pipe 3D nonlinear FEM (ABAQUS), regression pipeline, dent, FEA, limit-pressure
21 Macias-Amador et al. 2025 Risk assessment model for OWF decommissioning Process-risk delays can exceed 20% of project duration; availability-related events are most significant discrete risks Monte Carlo simulation, quantitative risk analysis (ISO 31000) decommissioning, OWF, risk, Monte-Carlo
22 Michalewicz et al. 2025 INFUSSE: integrating protein sequence embeddings with structure via graph-based DL Combined sequence (LLM) + structure (GCN) model improves B-factor prediction for antibodies, especially at disordered regions Graph convolutional network, protein LLM embeddings deep-learning, protein, graph-network
23 Molla & Gorems 2022 Impact of land use on spatial variability of soil physicochemical properties (Ethiopia) Natural forest soils have highest organic carbon, total nitrogen, and microbial biomass vs. plantation and agricultural land Kriging interpolation, GIS, field sampling soil, land-use, GIS, spatial-variability
24 Marin-Moreno et al. 2024 Physics-informed ML to define seismic velocities and porosity from CPT data DNN predicts shear wave velocity from CPT with MAE=55 m/s; enables centimetre-scale porosity and Vp resolution Deep neural network, dynamic poroelasticity offshore-wind, CPT, DNN, site-investigation
25 Otoo et al. 2023 Numerical investigation of scour around monopile foundation Finer sediment increases scour susceptibility; flow velocity and period significantly affect scour depth around monopiles 3D RANS with RNG k-epsilon, sediment transport scour, monopile, CFD, sediment
26 Polyakova 2023 Diagnosis of railway bridge scour by natural vibration frequencies Vibration-based scour monitoring for 30 railway bridge piers; FE models verified against field measurements via Tensor MS system Field vibration measurement, FEM, Tensor MS scour, bridge, vibration, railway
27 Rahman 2025 GIS-based allowable bearing capacity thematic maps for Bogura District SPT-based bearing capacity maps from 255 boreholes show clay-dominated shallow depths with BC<73 kN/m2 at 1.5m SPT, GIS thematic mapping bearing-capacity, GIS, SPT, Bangladesh
28 Schmidt et al. 2025 Kriging meta-models for damage equivalent load assessment of idling OWT Kriging with 2000 training points approximates idling fatigue loads acceptably; two extra input parameters needed vs. normal operation Kriging surrogate modelling OWT, fatigue, Kriging, meta-model, idling
29 Schmidt et al. 2026 Lifetime reassessment of OWT using Kriging meta-models for different operating conditions Kriging meta-models maintain high accuracy while drastically reducing computational cost vs. ~1M aeroelastic simulations Kriging surrogate, lifetime reassessment, IEC 61400-3 comparison OWT, lifetime-extension, Kriging, fatigue
30 Shafiee et al. 2024 Stability of subsea tunnels using FELA and ANFIS ANFIS outperforms multiple linear regression for predicting required internal pressure of subsea tunnels in Tresca material Finite element limit analysis, ANFIS tunnel, subsea, stability, ANFIS
31 Stuyts 2024 ML tools for offshore site investigations (plenary lecture) Supervised and unsupervised ML can improve geotechnical parameter selection; no consensus on best practices yet; LLM potential discussed ML overview, CPT databases, offshore wind farm data site-investigation, ML, geotechnics, offshore-wind
32 Belhaouate et al. 2025 ANN-based prediction of load-bearing capacity in earthen construction (Morocco) Shallow ANN architectures outperform deeper ones for predicting earthen construction load-bearing capacity ANN architecture comparison earthen-construction, ANN, bearing-capacity
33 Dieng et al. 2022 Heat transfer in dynamic frequency regime: equivalent dynamic impedance of kapok material Characterization of kapok thermal insulation via 3D dynamic frequency heat transfer model; Bode diagrams of thermal impedance 3D heat equation, electrical-thermal analogy thermal-insulation, kapok, heat-transfer
34 Mokashi & Hirpurkar 2019 Hydraulic scaling and similitude from model to prototype Shield's parameter used to determine prototype sediment diameter (d50=41.43mm) from undistorted flume model (d50=0.828mm) Shield's parameter, similitude theory similitude, hydraulic-scaling, sediment
35 Usowicz & Lipiec 2021 Spatial variability of saturated hydraulic conductivity at commune scale SHC linked to sand content, organic carbon, bulk density via semivariogram and cross-semivariogram analysis at 140 km2 scale Geostatistics, kriging, cross-semivariogram soil, hydraulic-conductivity, geostatistics
36 Wang et al. 2022 Blade damage detection of small wind turbine via fluid-heat-solid coupling Fluid-heat-solid coupled model in COMSOL reduces max error by 7.46% vs. natural convection approximation for IR blade inspection COMSOL multiphysics, infrared thermography blade, damage-detection, IR, COMSOL
37 Wang et al. 2025 Finite-frequency LPV H-infinity control for disturbed wind turbine FF-domain LPV H-infinity control reduces conservatism of MPPT control under wind disturbances vs. entire-frequency domain LPV model, H-infinity control, gain scheduling, LMI wind-turbine, control, LPV, MPPT
38 Li, Wu & Hu 2022 BBO-MLP neural network to predict CBR of stabilized pond ash BBO-MLP1 achieves R2=0.9977 for CBR prediction of lime/lime-sludge stabilized pond ash Biogeography-based optimization + MLP CBR, pond-ash, neural-network, stabilization
39 Zhanfang & Tuo XXXX Enhancing wind turbine blade damage detection with YOLO-Wind Enhanced YOLOv8n with DWConv, MBConv, ECA achieves 83.9% mAP@0.5, +2.3% over baseline on DTU blade dataset YOLOv8n, computer vision, depthwise separable convolutions blade, damage-detection, YOLO, computer-vision
40 Zhao et al. XXXX DFIG impedance reshaping via dynamic rotor current compensation for mid-frequency stability Rotor current compensation reshapes DFIG impedance to suppress PLL-induced negative resistance in mid-frequency band under weak grid Impedance modelling, MIMO, LMI DFIG, wind-power, stability, impedance

CONSENSUS

  1. ML/AI as universal surrogate: Across geotechnics, offshore wind, scour prediction, and structural health monitoring, machine learning models (ANN, ANFIS, Kriging, autoencoders) consistently outperform traditional empirical and regression methods. Papers 15, 16, 28, 29, 30, 31, 32, 38 all report R2 > 0.95 or equivalent improvements.

  2. Vibration-based SHM is maturing: Multiple studies (6, 9, 13, 18, 26) confirm that modal parameters extracted from operational vibration data (OMA) reliably detect damage, scour, and ice accumulation. The field consensus is that unsupervised or one-class approaches trained only on healthy data are practical and scalable.

  3. Scour remains a critical offshore risk: Papers 14, 15, 25, 26 converge on scour as a dominant threat to both offshore wind and bridge foundations. Flow velocity, sediment size, and wave-current interaction are universally recognized as governing parameters.

  4. Coupled multi-physics modelling is essential for FOWT: Studies 2, 4, 8, 19 agree that rigid-body or single-discipline assumptions introduce significant errors (up to 37% in eigenfrequency). Full hydro-servo-aero-elastic coupling is now considered mandatory for reliable FOWT design.

  5. Kriging/surrogate models enable lifetime reassessment: The Schmidt pair (28, 29) establishes that Kriging meta-models can replace millions of aeroelastic simulations for fatigue assessment with acceptable accuracy, covering both normal operation and idling states.

DEBATES

  1. Optimal ML architecture depth: Belhaouate et al. (32) find shallow ANNs outperform deeper ones for earthen construction, while Khatti & Kontoni (16) and Jatoliya et al. (15) show that hybrid optimization (ABC, PSO) on standard ANNs achieves top performance. The question of when to prefer shallow vs. deep vs. hybrid-optimized architectures remains unresolved.

  2. Single vs. ensemble digital twins: Bull et al. (6) argue for probabilistic ensembles of digital twins rather than single best-fit models. This challenges the prevailing industry practice of deterministic digital twins and raises questions about computational feasibility at scale.

  3. Dimensional homogeneity in empirical scaling laws: Escala (10) provocatively argues that most allometric laws violate the similitude principle. This debate extends to geotechnical and hydraulic scaling (34) where model-to-prototype similarity often relies on incomplete dimensional analysis.

  4. Data requirements for reliable ML in geotechnics: Stuyts (31) and Marin-Moreno (24) highlight that ML model reliability depends critically on training data coverage and soil type diversity. No consensus exists on minimum dataset sizes for different geotechnical prediction tasks.

GAPS

  1. Idling and transient states under-studied: Schmidt et al. (28) note that meta-models for idling OWT have received almost no attention compared to normal operation, despite idling contributing significantly to lifetime fatigue.

  2. Decommissioning risk quantification is nascent: Macias-Amador et al. (21) observe that simulation tools for OWF decommissioning are still being developed; process-risk integration with weather-window analysis is largely absent from the literature.

  3. Cross-correlated random fields from sparse data: Guan & Wang (11) address a recognized gap -- most random field simulators require known correlation structures, yet real site investigations provide only sparse measurements. Data-driven generators remain rare.

  4. Field validation of SHM under real environmental variability: Drangsfeldt (9) acknowledges that laboratory results degrade in uncontrolled environments. Large-scale field validation datasets for vibration-based SHM of wind turbine blades are still lacking.

  5. Integration of geophysical and geotechnical data at centimetre scale: Marin-Moreno (24) identifies the need to align CPT and seismic data at high resolution; current practice averages over incompatible depth ranges.

METHODS

  • Numerical: SPH (1), DEM (7), RANS CFD (25), nonlinear FEA/ABAQUS (20), FELA (30), COMSOL multiphysics (36)
  • Surrogate/ML: Kriging (28, 29), ANN/ANN-PSO/ANFIS (15, 16, 30, 32, 38), DNN (24), autoencoders (3, 17), Extended Isolation Forest (13), YOLOv8n (39), BBO-MLP (38)
  • Statistical/Probabilistic: MCMC (19), Monte Carlo (21), Bayesian regression (9), geostatistics/kriging interpolation (23, 27, 35), random field simulation (11)
  • Experimental/Field: Geotechnical centrifuge (1, 7), in-situ vibration/accelerometer (2, 9, 13, 26), sonar (14), SPT campaigns (27), infrared thermography (36)
  • Control: LPV H-infinity (37), impedance reshaping (40), gain scheduling (37)
  • Dimensional analysis: Pi theorem (10), Shield's parameter (34)

BENCHMARKS

Domain Benchmark/Dataset Papers Using It
Turbofan anomaly detection NASA C-MAPSS FD001 3
FOWT simulation NREL 5MW / OC4 semisubmersible 8, 19
Spar FOWT Zefyros 2.3MW (in-situ data) 2
Blade damage detection DTU blade dataset 39
Scour prediction (tripod) 99 experimental data points from literature 15
Pile bearing capacity 194 literature data points 16
OWT lifetime fatigue IEC 61400-3 standard load cases (~1M simulations) 28, 29
Geotechnical CPT-Vs correlation 5284 public-domain CPT instances 24
Bridge scour monitoring Colorado bridges F-05-R and P-01-G 14
Railway bridge scour 30 piers, Tensor MS measurements 26