Discrete-element modelling of pile penetration to reveal influence of soil characteristics
Proceedings of the Institution of Civil Engineers: Geotechnical Engineering, cilt.175, sa.4, ss.365-382, 2022 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 175 Sayı: 4
- Basım Tarihi: 2022
- Doi Numarası: 10.1680/jgeen.20.00134
- Dergi Adı: Proceedings of the Institution of Civil Engineers: Geotechnical Engineering
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Communication Abstracts, Compendex, Geobase, ICONDA Bibliographic, INSPEC, Metadex, Civil Engineering Abstracts
- Sayfa Sayıları: ss.365-382
- Anahtar Kelimeler: geotechnical engineering, granular materials, piles & piling
- Boğaziçi Üniversitesi Adresli: Evet
Özet
Soil response to pile penetration has both macro-and micro-mechanical aspects. At both scales, the properties of the particles and their interactions with each other control behaviour. Unfortunately, examination of particle-scale effects during penetration is not possible with either physical modelling or using continuum-based numerical models. The discrete-element method provides a powerful medium for modelling soils as particulate materials and can be used to investigate pile-soil interaction. However, such models are computationally demanding and need extensive optimisation, which in turn requires an understanding of the influences of soil characteristics on the mechanics. For this purpose, a series of pile penetration models was designed using three-dimensional discrete-element models. Structural parameters such as model dimensions and pile properties were kept constant while the soil characteristics were varied one at a time. This allowed uncoupled observation of the influences of individual soil characteristics including stiffness, inter-particle friction, rolling friction, average size, shape, packing density and grain size distribution. The results are presented in graphical form and their implications with respect to modelling are discussed.