Boundary effects on dynamic centrifuge testing of onshore wind turbines on liquefiable soils

Gaudio, Domenico; Seong, Juntae; Haigh, Stuart; Viggiani, Giulia M. B.; Madabhushi, Spg; Shrivatsava, Rajesh; Veluvolu, R.; Padhy, Prashanta

doi:10.1680/jphmg.21.00085

Cited by 7 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To achieve the installation of multiple sensors at desired depths and make use of existing test techniques, some implementation ideas are proposed for onshore and offshore piles [37][38][39]. For example, as depicted in Figure 1a, if a reinforced concrete (RC) pile is qualified for the cross-hole sonic logging (CSL) test, a series of hydrophones (commonly used in the PS method) can be plugged into one of the water-filled sonic logging tubes located below the known defect (e.g., an enlarged pile top or a detected defect); Figure 1b demonstrates a series of transducers installed along the outer surface of an offshore pile to conduct the MSPDD test, where the sensors below the superstructure can remove the effects of the above structure after signal post-processing (as will be introduced in the ensuing section).…”

Section: Operation Stepsmentioning

confidence: 99%

A Hybrid Convolutional and Recurrent Neural Network for Multi-Sensor Pile Damage Detection with Time Series

Wu,

El Naggar,

Wang

2024

Sensors

View full text Add to dashboard Cite

Machine learning (ML) algorithms are increasingly applied to structure health monitoring (SHM) problems. However, their application to pile damage detection (PDD) is hindered by the complexity of the problem. A novel multi-sensor pile damage detection (MSPDD) method is proposed in this paper to extend the application of ML algorithms in the automatic identification of PDD. The time-series signals collected by multiple sensors during the pile integrity test are first processed by the traveling wave decomposition (TWD) theory and are then input into a hybrid one-dimensional (1D) convolutional and recurrent neural network. The hybrid neural network can achieve the automatic multi-task identification of pile damage detection based on the time series of MSPDD results. Finally, the analytical solution-based sample set is utilized to evaluate the performance of the proposed hybrid model. The outputs of the multi-task learning framework can provide a detailed description of the actual pile quality and provide strong support for the classification of pile quality as well.

show abstract

Section: Operation Stepsmentioning

confidence: 99%

A Hybrid Convolutional and Recurrent Neural Network for Multi-Sensor Pile Damage Detection with Time Series

Wu,

El Naggar,

Wang

2024

Sensors

View full text Add to dashboard Cite

show abstract

“…The clay was consolidated at a stress level so that to obtain a soft clay ('vc = 512 kPa), together with suction applied at the bottom, u = -90 kPa. The model was placed into an Equivalent Shear Beam container (ESB) [10], whose dynamic boundary effects have been recently assessed [11]. In addition, the model was equipped with miniaturized instruments, such as those shown in Figure 2.…”

Section: Problem Layoutmentioning

confidence: 99%

Numerical Back-Analysis of Dynamic Centrifuge Tests on the Seismic Behaviour of Caisson Foundations Supporting Bridge Piers

Gaudio,

Murillo

2023

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

View full text Add to dashboard Cite

Over the last few years, an ever-increasing interest on a sort of a "Reversed" Capacity Design of geotechnical systems has been emerging, particularly when looking at the seismic design of bridge foundations, such as shallow, piled and caisson foundations. In this approach, soil irreversible behaviour is triggered on purpose during strong seismic events, so as to protect the superstructure. Although the capacity of soil-caisson systems is quite high if compared to shallow and piled foundations, limit conditions of these systems may be actually attained during destructive seismic events. The above-mentioned framework boosted the research on the dynamic response and interaction diagrams (i.e., failure envelopes) of rigid and massive caisson foundations [1][2]. Gaudio et al. [3] recently performed an experimental campaign via dynamic centrifuge tests, where a typical layout of a cylindrical caisson supporting a bridge pier was subjected to a series of ground motions. The caisson was embedded in a typical alluvial deposit, where the clay stratum was either soft and very soft. In this paper, the results of preliminary 3D Finite Element back-analyses reproducing the centrifuge test are presented and discussed, for the specific soft-clay case. The analysis first aimed at reproducing and then extending the experimental investigation, so as to both validate and better understand the phenomena observed in the centrifuge. It is shown that, even with a simple but still comprehensive calibration of handy soil constitutive models, the main features ruling the seismic performance of the systems at hand can be fairly captured.

show abstract

Liquefaction analysis of soil plugs within large diameter monopiles using numerical modelling

Español-Espinel,

Haigh,

Madabhushi

2023

Bull Earthquake Eng

View full text Add to dashboard Cite

Soil plug formation in open-ended piles due to pile driving is a widely studied phenomenon in onshore applications. The narrow diameters of traditional onshore piles ranging from 0.5 to 1.5 m facilitate plug generation during installation and transfer of enhanced confining stresses across the whole body of the soil plug. Offshore wind monopiles with larger diameters and smaller aspect ratios may not enhance confining stress within the soil plug as effectively as their onshore counterparts. Monopiles are currently the most widespread foundation in the offshore wind sector including in seismic areas. Earthquake shaking can lead to accumulation of excess pore pressure and subsequent liquefaction of the soil retained inside the plug. This research investigates the influence of monopile diameter and confining stress on the development of earthquake-induced excess pore pressure within the soil plug using fully coupled time domain Finite Element Analysis. The results presented in this paper reveal lower accumulation of earthquake-induced excess pore pressure in soil plugs subjected to confining stress. However, the influence of additional horizontal stress caused by monopile driving on the generation of excess pore pressure within the soil plug diminishes as the monopile diameter is progressively increased.

show abstract

Boundary effects on dynamic centrifuge testing of onshore wind turbines on liquefiable soils

Cited by 7 publications

References 31 publications

A Hybrid Convolutional and Recurrent Neural Network for Multi-Sensor Pile Damage Detection with Time Series

A Hybrid Convolutional and Recurrent Neural Network for Multi-Sensor Pile Damage Detection with Time Series

Numerical Back-Analysis of Dynamic Centrifuge Tests on the Seismic Behaviour of Caisson Foundations Supporting Bridge Piers

Liquefaction analysis of soil plugs within large diameter monopiles using numerical modelling

Contact Info

Product

Resources

About