Literature Synthesis -- Batch 03 Agent 3

Positions 481--520 from literature_review/*.md (all 2022 publications).

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Individual Paper Summaries

#	Author(s)	Year	Title	Core Finding	Method	Tags
1	Badihi et al.	2022	Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines	Reviews 390+ references on WT fault diagnosis; signal-based methods dominate but model-based approaches are advancing for lifetime prognosis	Literature review	wind-turbine, condition-monitoring, fault-diagnosis, review
2	Bakarji et al.	2022	Dimensionally Consistent Learning with Buckingham Pi	Proposes three data-driven methods (constrained optimization, BuckiNet deep learning, SINDy) that embed Buckingham Pi as a constraint to discover optimal dimensionless groups	Constrained optimization, deep learning, SINDy	dimensional-analysis, buckingham-pi, machine-learning, physics-informed
3	Beucher et al.	2022	Interpretation of CNNs for Acid Sulfate Soil Classification	Applies CNN interpretation techniques to soil classification from remote sensing data	CNN, interpretable AI	soil-classification, CNN, remote-sensing
4	Bilbao et al.	2022	Virtual Sensing in an Onshore Wind Turbine Tower Using a Gaussian Process Latent Force Model	Predicts dynamic strains from acceleration data using GP latent force model; validates fatigue life tracking against measured strains	Gaussian process latent force model, virtual sensing	wind-turbine, virtual-sensing, fatigue, SHM
5	Bouchemella & Taibi	2022	Effect of Suction on the Mechanical Behaviour of Unsaturated Compacted Clay-Sand Mixtures	25% sand addition increases UCS by 37% and E50 by 70%; 50% sand reverses this; suction increases strength regardless of sand content	Unconfined compression, SWCC (osmotic/salt/filter paper)	unsaturated-soil, clay-sand, suction, SWCC
6	Branlard & Geisler	2022	Symbolic Framework for Mid-Fidelity Models of Flexible Multibody Systems (HAWT)	Open-source SymPy framework using Kane's method yields compact symbolic equations of motion; validated against OpenFAST	Symbolic algebra (SymPy), Kane's method	wind-turbine, multibody-dynamics, digital-twin, reduced-order-model
7	Buffarini et al.	2022	Structural Assessment of the Pedestrian Bridge Accessing Civita di Bagnoregio	Vibration tests on a damaged pedestrian bridge; reduced stiffness amplified vibrations uniformly; tested Italian 2020 bridge safety guidelines	Experimental modal analysis, vibration testing	bridge, SHM, vibration-testing, structural-assessment
8	Buyse et al.	2022	Offshore Wind Farms Affect Spatial Distribution of Plaice at Turbine and Wind Farm Scale	4x higher plaice abundance on scour protection sandy patches; one OWF showed refuge effect; results equivocal between two OWFs	Diving transects, beam trawl, BACI design	OWF-ecology, scour-protection, marine-biology
9	Bohm & Schaumann	2022	Stochastic Modeling of Geometric Imperfections for Buckling Analysis of Suction Buckets	Stochastic imperfection models for suction bucket shells under negative pressure during installation	Stochastic FE, buckling analysis	suction-bucket, buckling, stochastic, offshore-foundation
10	Chambel et al.	2022	Probabilistic Assessment and Comparison of Scour Protections at Horns Rev 3 and Egmond aan Zee	Probability of failure varies by two orders of magnitude (10^-4 to 10^-6) between sites for same design criterion; probabilistic methods enable stone size optimization	Probabilistic reliability analysis, semi-empirical scour models	scour-protection, monopile, probabilistic, offshore-wind
11	Ching, Phoon & Wu	2022	Data-Centric Quasi-Site-Specific Prediction for Compressibility of Clays	Combining big indirect data (6203 records) with sparse site-specific data via hierarchical Bayesian model yields precise quasi-site-specific Cc/Cur predictions	Hierarchical Bayesian model, MUSIC-3X	data-centric-geotech, clay-compressibility, Bayesian, database
12	Cuomo et al.	2022	Scientific Machine Learning Through Physics-Informed Neural Networks: Where We Are and What's Next	Comprehensive PINN review covering variants (VPINN, CPINN, PCNN); most work focuses on activation functions, optimization, architecture; theoretical gaps remain	Literature review	PINN, physics-informed, deep-learning, review, PDE
13	Demirci, Jalbi & Bhattacharya	2022	Liquefaction Effects on the Fundamental Frequency of Monopile-Supported OWTs	LP/D aspect ratio governs dynamic behavior under liquefaction; looser soils are more sensitive; simplified spreadsheet method proposed	FEM parametric study, analytical validation	liquefaction, monopile, natural-frequency, OWT, seismic
14	Dimech et al.	2022	Review on Applications of Time-Lapse Electrical Resistivity Tomography Over the Last 30 Years	Database of 650+ TL-ERT case studies; identifies promising applications for autonomous geoelectrical monitoring of mining waste geotechnical/geochemical stability	Literature review (650+ cases)	ERT, monitoring, mining-waste, geophysics, review
15	Dorrell et al.	2022	Anthropogenic Mixing in Seasonally Stratified Shelf Seas by OWF Infrastructure	OWF structures cause anthropogenic mixing in stratified shelf seas, with implications for marine ecosystem and climate	Oceanographic modeling/review	OWF-environment, ocean-mixing, stratification
16	Fahim et al.	2022	Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines	5G-assisted cloud digital twin using TCN + kNN for medium-term wind speed and power prediction; outperforms classical prediction models	TCN, kNN, Azure digital twins, SCADA	digital-twin, wind-turbine, ML, SCADA, 5G
17	Fioravante et al.	2022	Calibration Cone Penetration Testing in Silty Soils	Large calibration chamber and centrifuge CPTUs for transitional (silty) soils; no robust methodology exists yet for these soils in offshore wind	Calibration chamber CPTU, centrifuge	CPT, silty-soil, offshore-wind, site-investigation
18	Fischereit, Larsen & Hahmann	2022	Climatic Impacts of Wind-Wave-Wake Interactions in Offshore Wind Farms	Coupled atmosphere-wave modeling reduces climatic wind resources by ~1%; neighboring farms reduce resources up to 10%; wake reduces wave height up to 3.5%	Statistical-dynamical downscaling, WRF-WAM coupled model	wake-effects, wind-resource, coupled-modeling, OWF
19	Fremmelev et al.	2022	SHM of 52-Meter Wind Turbine Blade: Detection of Damage Propagation During Fatigue Testing	Multi-sensor SHM (strain gauges, AE, accelerometers, active vibration) tracks artificial and propagating delamination damage in a commercial blade	Full-scale fatigue test, multi-sensor SHM	blade-SHM, fatigue-testing, damage-detection, wind-turbine
20	Gaudio et al.	2022	Boundary Effects on Dynamic Centrifuge Testing of Onshore Wind Turbines on Liquefiable Soils	Calibrated OpenSees model against centrifuge data; ESB box boundaries affect results; larger numerical model used to quantify boundary effects	Dynamic centrifuge, OpenSees FE	centrifuge, liquefaction, wind-turbine, boundary-effects
21	Geissmann et al.	2022	Sticky Pi: High-Frequency Smart Trap for Insect Circadian Activity	IoT smart insect trap with ML image classification enabling circadian activity studies under natural conditions	IoT sensors, image classification	ecology, IoT, monitoring (tangential)
22	Ghiasi et al.	2022	Uncertainty Quantification of GrC-ANN Model for Pollutant Longitudinal Dispersion	Granular computing coupled with ANN provides robust Dx estimation with narrowest uncertainty bandwidth bracketing 100% of true data	GrC-ANN, modified bootstrap	water-quality, dispersion, uncertainty, ANN
23	Giordano et al.	2022	Value of Seismic SHM for Post-Earthquake Building Evacuation	Framework quantifying monetary benefit of permanent seismic SHM for evacuation decisions; balances casualty risk vs. business interruption cost	Value-of-information, fragility analysis	seismic-SHM, value-of-information, emergency-management
24	Glisic, Feng & Inaudi	2022	Special Issue: Distributed and Quasi-Distributed Monitoring of Civil Infrastructure	Editorial summarizing advances in fiber-optic and electrical distributed sensing at mm-scale resolution for damage detection and localization	Editorial/review	distributed-sensing, fiber-optic, SHM, review
25	Gonzalez et al.	2022	Monitoring Natural Phenomena from the Classroom with Edusat	Teaching guide using Copernicus/Sentinel satellite imagery for classroom environmental monitoring	Remote sensing, education	education, remote-sensing (tangential)
26	Gorostidi et al.	2022	Predictive Maintenance of Floating OWT Mooring Lines Using Deep Neural Networks	DNN trained on OpenFAST-simulated platform motion detects mooring line failures (biofouling, mass/damping changes) with 95.7% validation accuracy	DNN, OpenFAST simulation, statistical features	FOWT, mooring, predictive-maintenance, deep-learning
27	Hashemi, Sutman & Abuel-Naga	2022	Thermomechanical Response of Kaolin Clay-Concrete Interface for Energy Geostructures	Temperature increases adhesion for NC interfaces but does not affect OC interface shear strength; thermal strain history influences volumetric response	Direct shear tests (8-45C)	energy-piles, interface-shear, thermal, clay
28	Hemeda	2022	Geotechnical Modelling of Complex Underground Structures Using PLAXIS 3D	3D FE analysis of Horemheb tomb (KV57) using Mohr-Coulomb model; identifies deformation, stress, and displacement patterns in weak marl rock	PLAXIS 3D, Mohr-Coulomb	geotechnical-modeling, underground, FEM, rock-mechanics
29	Hosseini et al.	2022	Influence of Surface Cracks on the Stability of Cracked Soil Slopes	Crack depth and water-filled cracks significantly reduce FoS; effect is amplified at steeper slope angles	Optum G2, limit analysis	slope-stability, cracks, rainfall, FoS
30	Huan et al.	2022	Experimental Study of Ultra-Large Jacket OWT Under Different Operational States	Scaled model tests of jacket OWT under joint aero-hydro-structural elastic similarity; validates numerical coupling mechanisms	Physical model testing, aero-hydro-structural similarity	jacket-OWT, model-test, aero-hydro, experimental
31	Iranmanesh & Arianfar	2022	Numerical Investigation of Geotechnical Parameters on Building Risk from Mechanized Tunneling	Cohesion and friction angle have minor effects; overburden and elastic modulus significantly affect surface settlement and building risk	FEM (Plastic Hardening model)	tunneling, settlement, risk, FEM
32	Kar & Roy	2022	Comparative Study on Reliability Analysis of Cohesive Soil Slope Using Subset Simulation	Subset simulation outperforms FOSM, FORM, and direct MCS at low failure probabilities (Pf < 0.001) and identifies most probable critical slip surface	SS, FOSM, FORM, MCS, SLOPE/W	slope-stability, reliability, subset-simulation, probabilistic
33	Keawsawasvong et al.	2022	ANN for Predicting Stability of Rectangular Tunnels in Hoek-Brown Rock Masses	ANN model predicts tunnel stability factor in HB rock; provides rapid assessment tool for engineers	ANN, FE limit analysis	tunnel-stability, Hoek-Brown, ANN, rock
34	Keawsawasvong, Shiau & Yoonirundorn	2022	Bearing Capacity of Cylindrical Caissons in Cohesive-Frictional Soils	Comprehensive depth factors (Fcd, Fqd, Fgd) for caissons as function of L/D and friction angle using axisymmetric FE limit analysis	AX FE limit analysis (UB/LB)	caisson, bearing-capacity, limit-analysis, offshore-foundation
35	Khajehzadeh et al.	2022	Seismic Analysis of Earth Slope Using Novel Sequential Hybrid Optimization	CTSA-PS hybrid algorithm finds more accurate critical failure surfaces than standard metaheuristics for pseudo-static slope stability	Morgenstern-Price + TSA-PS optimization	slope-stability, seismic, optimization, metaheuristic
36	Komarizadehasl	2022	Development of Low-Cost Sensors for SHM Applications (PhD Thesis)	Develops Arduino-based low-cost sensors for SHM of civil infrastructure; demonstrates practical deployment potential	Low-cost sensors, Arduino, OMA	low-cost-SHM, sensors, Arduino, bridge
37	Kumar et al.	2022	Bearing Capacity of Circular Foundations on Weak Cohesive Soils Reinforced with Stone Columns	(File contains mismatched content -- Spanish education paper)	N/A	bearing-capacity, stone-columns (metadata only)
38	Lai et al.	2022	ML Regression for Bearing Capacity of Strip Footing on Rock Mass Under Inclined/Eccentric Load	ML regression predicts bearing capacity on HB rock under inclined eccentric loading	FE limit analysis + ML regression	bearing-capacity, rock, ML, strip-footing
39	Lai, Shiau, Keawsawasvong & Tran	2022	Bearing Capacity of Ring Foundations on Anisotropic and Heterogeneous Clays: FEA, NGI-ADP, MARS	MARS model produces highly accurate bearing capacity equations for ring foundations on anisotropic clay with depth-increasing strength	FEA (PLAXIS, NGI-ADP), MARS	ring-foundation, anisotropic-clay, MARS, bearing-capacity
40	Di Laora, Iodice & Mandolini	2022	Closed-Form Solution for Failure Interaction Diagrams of Pile Groups Under Inclined Eccentric Load	Derives closed-form failure envelope for pile groups under V-H-M loading; geotechnical ULS often auto-satisfied if structural design is adequate	Analytical closed-form, RC pile design	pile-group, bearing-capacity, interaction-diagram, analytical

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SYNTHESIS

CONSENSUS

1. ML/AI is rapidly penetrating geotechnical and structural engineering, from bearing capacity prediction (Keawsawasvong, Lai) to SHM damage detection (Fremmelev, Bilbao) and wind turbine digital twins (Fahim, Branlard). Multiple independent groups converge on the finding that hybrid physics-ML approaches outperform pure data-driven or pure physics-based methods.

2. Probabilistic and reliability-based design is displacing deterministic approaches in offshore foundations. Chambel shows scour protection failure probability varies by two orders of magnitude between sites; Kar demonstrates subset simulation superiority at low Pf; Bohm uses stochastic imperfection models for suction buckets. The consensus is that deterministic safety factors alone are insufficient.

3. Virtual sensing and distributed monitoring are maturing for wind turbine and bridge SHM. Bilbao validates GP-based virtual strain sensing; Fremmelev demonstrates multi-sensor blade SHM; Glisic highlights fiber-optic sensing at mm resolution. The field agrees that indirect measurement from limited sensor arrays is viable for fatigue tracking.

4. Soil-structure interaction under extreme conditions (liquefaction, thermal cycling, unsaturation) remains governed by a few key non-dimensional parameters. Demirci identifies LP/D as the governing ratio under liquefaction; Bouchemella shows a non-monotonic sand content optimum for clay-sand strength.

DEBATES

1. Physics-informed vs. purely data-driven ML: Bakarji (Buckingham Pi constraints) and Cuomo (PINNs) argue for embedding physical laws, while several bearing capacity studies (Keawsawasvong ANN, Lai ML regression) achieve good results with standard supervised learning. The optimal degree of physics embedding remains unresolved.

2. Sufficiency of existing CPTU interpretation for transitional soils: Fioravante explicitly states no robust methodology exists for silty soils, which dominate many offshore wind sites. This contradicts the routine confidence with which CPT-based design parameters are assigned in practice.

3. Offshore wind farm environmental effects: Buyse finds equivocal refuge effects for plaice between two OWFs; Dorrell highlights anthropogenic mixing concerns. Whether OWFs are net positive or negative for marine ecosystems is unsettled and site-dependent.

4. Value of permanent SHM systems: Giordano quantifies SHM benefit for post-earthquake evacuation, but the cost-benefit threshold depends heavily on assumed indirect losses. Whether permanent seismic SHM is economically justified for ordinary buildings remains debated.

GAPS

1. No validated CPTU interpretation framework for silty/transitional soils in offshore wind contexts -- Fioravante's calibration chamber work is ongoing but guidelines do not yet exist.

2. Limited full-scale progressive damage data for WT blades -- Fremmelev notes this inhibits SHM algorithm development; most validation is on artificial damage.

3. Coupled aero-hydro-soil interaction under seismic+wave loading for OWTs is barely addressed. Demirci treats liquefaction without wave coupling; Huan tests jacket dynamics without seismic input. The combined problem is untreated.

4. Data-centric geotechnics lacks standardized databases beyond clay compressibility. Ching's CLAY-Cc/6/6203 database is exemplary but no equivalent exists for sand stiffness, cyclic degradation, or interface parameters.

5. Theoretical foundations of PINNs remain weak -- Cuomo identifies unresolved convergence and generalization theory despite widespread application.

6. Long-term field validation of probabilistic scour protection design is absent. Chambel's work is computational; no field monitoring dataset confirms the predicted failure probabilities.

METHODS

Method Category	Papers	Prevalence
FE limit analysis (UB/LB)	Keawsawasvong (x2), Lai (x2)	High for bearing capacity
Machine learning (ANN, DNN, MARS)	Keawsawasvong, Lai, Gorostidi, Fahim, Ghiasi	Very high across domains
Physics-informed ML (BuckiNet, PINN)	Bakarji, Cuomo	Growing, still niche
Gaussian process / Bayesian	Bilbao, Ching	Moderate, gaining traction
Dynamic centrifuge testing	Gaudio, Fioravante	Standard for SSI validation
Full-scale SHM instrumentation	Fremmelev, Buffarini, Komarizadehasl	Essential but expensive
Probabilistic reliability	Chambel, Kar, Bohm	Increasingly standard
Coupled numerical simulation	Fischereit, Branlard	Advancing for OWF

BENCHMARKS

• Ching's CLAY-Cc/6/6203: 6203 records from 429 studies; the largest public clay compressibility database. Benchmark for data-centric geotechnics.
• Ghiasi's tracer database: 503 datapoints of stream dispersion experiments used for Dx model validation.
• Dimech's TL-ERT database: 650+ case studies spanning 30 years of time-lapse electrical resistivity tomography applications.
• OpenFAST: Used by Branlard and Gorostidi as the reference aeroelastic simulation tool for wind turbine validation.
• NREL 5 MW / DTU 10 MW / Haliade-X 12 MW turbines: Standard reference turbines across Demirci and others for OWT dynamic analysis.
• Badihi review: 390+ references compiled as the most comprehensive condition monitoring survey for wind turbines as of 2022.

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40 papers processed. 1 file (Kumar 2022) contained mismatched content and was noted but excluded from synthesis.