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Literature Synthesis -- Batch 4 (Files 121-160, alphabetically)

All 40 papers are from 2018. They span offshore wind, geotechnical foundations, structural health monitoring, scour, fatigue, and probabilistic methods.

Paper Summary Table

# Author (Year) Title (short) Core Finding Method Tags
1 Gomez (2018) Seasonal phytoplankton biomass in Gulf of Mexico Zooplankton grazing modulates seasonal biomass patterns; horizontal advection dominates the shelf, vertical mixing dominates the deep GoM 3D biogeochemical numerical model (13-component) oceanography, numerical-model, ecology
2 Gonzalez (2018) High-frequency SCADA data for WT performance monitoring High-frequency SCADA data is beneficial for turbine performance monitoring; model uncertainty expression still needs work Multivariate non-parametric power-curve modelling wind-turbine, SCADA, condition-monitoring
3 Hentati (2018) Probabilistic HM failure envelopes of strip foundations Soil spatial variability significantly affects ultimate capacities, failure mechanisms, and failure envelopes of strip foundations Random finite element method (RFEM) + Monte Carlo foundations, probabilistic, spatial-variability
4 Hoyme (2018) Geotextile scour protection at offshore wind parks Geotextile sand containers are a viable, lower-environmental-impact alternative to rock armour for scour protection of monopiles Life Cycle Assessment (ISO 14040/14044), case study scour-protection, offshore-wind, LCA
5 Huchet (2018) Kriging surrogates for multi-site fatigue (OWT certification) Adaptive Kriging (AK-DA MultiSite) drastically reduces computation for fatigue certification at multiple structural locations Surrogate modelling, Kriging, Rainflow counting fatigue, surrogate-model, offshore-wind
6 Igwemezie (2018) Material requirements for fatigue in large wind turbines Extra-large steel plates for next-gen turbine support structures require careful evaluation of fracture toughness, weldability, and corrosion-fatigue crack growth Review of fatigue crack growth, LEFM fatigue, materials, offshore-wind, review
7 Ismail (2018) Scour depth prediction around bridge piers using evolutionary NN Evolutionary regression network provides accurate scour-depth predictions with far fewer fitting constants than backpropagation NNs Evolutionary neural network scour, ML, bridge-piers
8 Jang (2018) Shape effect on waveform micropile (centrifuge tests) Waveform micropile ultimate bearing capacity exceeds 2x that of conventional micropiles; shear-key shape governs load-sharing ratio Centrifuge model tests micropile, centrifuge, foundations
9 Jin (2018a) Multi-objective optimization-based updating during excavation An enhanced multi-objective differential evolution algorithm combined with anisotropic elastoplastic model enables real-time updating of excavation predictions MOOP, FEM, small-strain stiffness model excavation, optimisation, inverse-analysis
10 Jin (2018b) Caisson foundation failure in sand (Lagrangian-SPH) Combined Lagrangian-SPH method captures evolving failure of caisson foundations under various combined loading paths in sand SPH + Lagrangian FEM, large-deformation caisson, large-deformation, numerical
11 Karsaz (2018) Steel frames with different bracing systems (damage index) EBFs outperform CBFs in mid/high-rise buildings; X-bracing best for low-rise; response-based damage indices are effective for vulnerability estimation Pushover analysis, response-based damage model seismic, steel-frames, bracing
12 Khanali (2018) Wind farm layout optimisation using GA (Tehran) Longitudinal turbine spacing aligned with dominant wind direction yields 89.5% efficiency with 56 turbines Genetic algorithm optimisation wind-farm, layout-optimisation, GA
13 Koteras (2018) Mono-bucket foundation installation tests in sand Suction installation reduces penetration resistance via seepage, but soil loosening/piping risk exists; medium-scale tests validated by numerical pore-pressure comparison Medium-scale lab model, pore-pressure measurements bucket-foundation, installation, sand
14 Lin (2018) Pile lateral capacity considering scour-hole dimensions An improved closed-form solution for vertical effective stress enables accurate pile lateral capacity calculation across a wide range of scour-hole geometries Analytical solution, API p-y curve modification scour, pile-lateral-capacity, analytical
15 Locke (2018) Drive-by health monitoring for bridge damage detection Neural-network-processed vehicle acceleration spectra can detect bridge damage despite environmental/operational variability FE model + neural network, frequency-domain analysis SHM, bridge, drive-by-monitoring, ML
16 McAllister (2018) Laboratory recreation of the Draupner wave The Draupner wave's crest amplitude could only be reproduced with two crossing wave systems at large angles; wave breaking differs significantly for crossing vs non-crossing seas Circular wave-tank experiments rogue-waves, wave-breaking, experimental
17 Medeiros (2018) PVDF electromechanical behaviour in offshore risers PVDF from riser components exhibits piezoelectric response to mechanical excitation despite not being processed for that purpose FTIR spectroscopy, shaker excitation tests risers, piezoelectric, sensing
18 Moreno (2018) Multidisciplinary design optimisation of offshore wind plant MDAO jointly optimising turbine layout, electrical collection, and support structures outperforms sequential optimisation MDAO framework (IEA Wind Task 37) offshore-wind, MDAO, design-optimisation
19 Mostafaei (2018) Pseudo-static vs dynamic analysis of arch dam wedge stability Pseudo-static results are more conservative than dynamic for small reduction factors; the reduction factor is critical for abutment stability Limit equilibrium (Londe method), FEM, dynamic analysis dam-stability, seismic, pseudo-static
20 Mueller (2018) Monte Carlo fatigue design for floating OWT ~200 quasi-random (Sobol) simulations suffice for <10% uncertainty in lifetime fatigue damage-equivalent loading of floating OWTs Monte Carlo integration, Sobol sequences, FAST fatigue, floating-OWT, probabilistic
21 Navas (2018) Optimal Transportation Meshfree for geotechnical large-deformation OTM method successfully handles large-deformation geotechnical problems (shallow foundations) using von-Mises and Drucker-Prager criteria OTM meshfree method, Lagrangian meshfree, large-deformation, foundations
22 Ouro (2018) Environmental turbulence impact on tidal stream turbine Seabed-induced turbulence (dunes) significantly increases instantaneous loading and enhances wake recovery compared to flat-bed conditions Large-eddy simulation (LES) tidal-turbine, LES, turbulence, fatigue
23 Pai (2018) Structural identification for bridge fatigue life prediction Error-domain model falsification (EDMF) and modified Bayesian updating provide more robust fatigue life predictions than residual minimisation under non-Gaussian uncertainty EDMF, Bayesian updating, FE model, WIM data fatigue, SHM, bridge, model-updating
24 Pandit (2018) SCADA-based WT anomaly detection using Gaussian Process GP-based power curve modelling detects yaw misalignment anomalies faster and more accurately than IEC binned methods Gaussian Process regression, SCADA data wind-turbine, GP, condition-monitoring
25 Peder/Sorensen (2012/2018) SSI for large-diameter offshore monopiles (PhD thesis) Current p-y curve formulations have significant limitations for non-slender, large-diameter monopiles; new initial-stiffness expressions are needed Physical modelling, FLAC3D numerical study monopile, p-y-curves, SSI, offshore-wind
26 Pegalajar-Jurado (2018) Frequency-domain model for floating OWT loads QuLAF predicts tower-base fatigue DEMs within 0.2-11.3% error at 1300-2700x real-time speed Linear frequency-domain model (4 DOF) floating-OWT, frequency-domain, loads
27 Pogu (2018) Nsukka sands as vibroflotation backfill Nsukka sands are rated "Good" backfill (mean SN=15); suitability number depends primarily on D10 and D30 Lab testing, linear regression soil-characterisation, vibroflotation
28 Roy (2018) Lateral resistance of pipes and strip anchors in dense sand Anchors give ~10% higher peak lateral resistance than pipes of equal dimension; transition depth from shallow to deep failure is larger for anchors FE modelling with strain-softening pipe-soil-interaction, anchors, sand
29 Sarrafi (2018) Video-based damage detection in wind turbine blades Phase-based motion estimation from video successfully detects damage in WTBs via changes in resonant frequencies and operational deflection shapes Phase-based motion estimation, high-speed video SHM, wind-turbine-blade, computer-vision
30 Schweiger (2018) Successful numerical modelling of complex geotech problems Advanced constitutive models (with fibre-optic validation) can accurately predict anchor pull-out, slow-moving landslides, and CPT in silts FEM, advanced constitutive models, class-A prediction numerical-modelling, geotechnics, validation
31 Sekhavatian (2018) PEM vs Monte Carlo for deep excavation stability PEM is computationally efficient but Monte Carlo provides higher accuracy as reference; probabilistic analysis is essential complement to deterministic safety factors Point Estimate Method, Monte Carlo Simulation reliability, excavation, probabilistic
32 Shafieifar (2018) Column base plate behaviour (numerical investigation) Concrete stress distribution under base plates is semi-triangular (max between column flange and plate edge), not uniform as assumed in current specifications FE modelling (Concrete Damage Plasticity) base-plate, steel-connections, FEM
33 Stowe (2018) High-frequency stream water monitoring on Marion Island Continuous high-frequency monitoring reveals diel cycles and precipitation-response dynamics invisible to point-based sampling In-situ continuous sensors (pH, DO, EC, temperature) hydrology, monitoring, sub-Antarctic
34 Tafreshi (2018) Cyclic anchor response in geocell-reinforced sand Geocell reinforcement substantially reduces cyclic displacement accumulation and increases post-cycling static uplift capacity of plate anchors Physical model tests (cyclic + post-cyclic) geocell, anchors, cyclic-loading
35 Tang (2018) Model uncertainty for driven piles in clay Four design methods (ISO, SHANSEP, ICP-05, NGI-05) show similar accuracy with mean model factor ~1.0 and COV ~0.3 based on 239 load tests Database study (239 tests), reliability analysis pile-design, model-uncertainty, clay
36 Tubaldi (2018) 3D mesoscale modelling of masonry bridges under scour A 3D mesoscale approach with progressive soil removal captures scour-induced failure of multi-span masonry bridges with realistic crack patterns 3D FEM, mesoscale masonry, parallel computation scour, masonry-bridge, numerical
37 Ueshima (2018) SHM of aged arch dam via long-term ambient vibration Long-term (3.5-year) ambient vibration monitoring detects predominant-frequency variation indicative of structural health changes in an aged arch dam System identification, ambient vibration monitoring SHM, dam, long-term-monitoring
38 Wang (2018) Monopile bearing capacity from centrifuge tests Pile bearing capacity increases with penetration depth; API overestimates capacity at large depths; cyclic load intensity should be limited to 75% of ultimate Centrifuge tests (static + cyclic) monopile, centrifuge, axial-capacity
39 Yusof (2017/2018) Erosion of medium-sand breached embankment Finer sediment produces higher peak outflow; particle diameter, velocity, and water density are dominant breach-erosion parameters Physical channel experiments, dimensional analysis dam-breach, erosion, experimental
40 Zhang (2018) Buried pipes in unstable sandy slopes A buried pipeline can alter slope failure mechanisms; a new prediction method for external forces accounts for pipe burial distance from slope crest Centrifuge tests, image analysis pipeline, slope-instability, centrifuge

Synthesis

1. CONSENSUS

  • Probabilistic methods are essential in geotechnical and offshore design. Papers #3, #5, #20, #31, and #35 all converge on the conclusion that deterministic safety factors alone are insufficient; spatial variability, model uncertainty, and environmental stochasticity must be quantified through Monte Carlo, RFEM, or surrogate-based probabilistic frameworks.
  • Machine learning enhances condition monitoring and prediction. Studies on SCADA-based wind turbine monitoring (#2, #24), scour prediction (#7), bridge health (#15), and video-based SHM (#29) consistently show that ML/non-parametric models outperform classical empirical methods in accuracy and early fault detection.
  • Centrifuge and physical modelling remain indispensable for validating numerical models and design methods for piles (#8, #38), bucket foundations (#13), pipes in slopes (#40), and anchors (#34).
  • Current design codes (API, FHWA, IEC) have known limitations for large-diameter monopiles (#25), scour-hole effects on piles (#14), and fatigue assessment of floating structures (#20, #26). Multiple papers call for updated formulations.

2. DEBATES

  • Deterministic vs. probabilistic geotechnical design: Sekhavatian (#31) and Hentati (#3) demonstrate that PEM and MCS yield different computational trade-offs; the field has not converged on which probabilistic method is "best" for routine practice.
  • Simplified vs. coupled fatigue analysis for floating OWT: Mueller (#20) argues Monte Carlo integration with Sobol sequences is sufficient; Pegalajar-Jurado (#26) shows a linear frequency-domain model can approximate time-domain fatigue results. The acceptable trade-off between fidelity and speed remains unresolved.
  • Sequential vs. multidisciplinary design optimisation: Moreno (#18) demonstrates MDAO superiority, but sequential approaches are still dominant in industry due to tool maturity and workflow constraints.
  • Scour modelling approach: Analytical (Lin #14), numerical mesoscale (Tubaldi #36), and empirical/ML (Ismail #7) approaches each claim accuracy in their domain; no unified framework exists.

3. GAPS

  • Long-term field validation of ML-based condition monitoring is largely absent; most studies (#2, #7, #15, #24, #29) use simulated or short-term operational data.
  • Combined scour + cyclic loading on offshore monopiles: individual studies address scour (#14, #36) or cyclic capacity (#38, #34) but almost none couple the two phenomena.
  • Large-deformation geotechnical methods (OTM #21, SPH #10) are demonstrated on canonical problems but have not been applied to realistic offshore foundation scenarios with environmental loading.
  • Material-level fatigue data for extra-large (XL) steel plates in offshore turbine towers (#6) is flagged as critically insufficient for next-generation designs.
  • Cross-domain SHM integration: Drive-by bridge monitoring (#15), video-based blade detection (#29), and dam ambient-vibration monitoring (#37) each solve narrow problems; no paper addresses multi-hazard, multi-asset monitoring frameworks.

4. METHODS INVENTORY

Method Category Papers
FEM (standard) #3, #9, #10, #15, #19, #28, #30, #32, #36
Centrifuge / Physical modelling #8, #13, #34, #38, #39, #40
Meshfree / Large-deformation #10 (SPH), #21 (OTM)
Machine learning (GP, NN, evolutionary) #2, #7, #15, #24
Monte Carlo / Probabilistic #3, #5, #20, #31, #35
Surrogate / Kriging #5
Frequency-domain structural #26
LES (CFD) #22
Computer vision / Video #29
Analytical / Closed-form #14
Life Cycle Assessment #4
Genetic algorithm optimisation #12
MDAO #18

5. BENCHMARKS AND REFERENCE SYSTEMS

  • DTU 10 MW turbine on OO-Star Semi platform -- used in Mueller (#20) for floating OWT fatigue.
  • IEA Wind Task 37 reference offshore wind plant at Borssele III/IV -- used in Moreno (#18) for MDAO.
  • OC3-Hywind spar -- referenced in Pegalajar-Jurado (#26) for frequency-domain validation.
  • API/FHWA design methods -- used as comparison baseline for monopile capacity (#38), p-y curves (#25), and scour-affected piles (#14).
  • ISO 19901-4, ICP-05, NGI-05, SHANSEP -- four pile design methods benchmarked against 239 load tests in Tang (#35).
  • Draupner wave (25.6 m, Hs=12 m) -- physically recreated by McAllister (#16) as the definitive rogue-wave reference.
  • Ghobara response-based damage index -- used as seismic performance benchmark in Karsaz (#11).