Back-calculation of soil parameters from displacement-controlled cavity expansion under geostatic stress by FEM and machine learning DOI Creative Commons
Fernando Patino-Ramirez,

Zijie Jay Wang,

Duen Horng Chau

и другие.

Acta Geotechnica, Год журнала: 2022, Номер 18(4), С. 1755 - 1768

Опубликована: Сен. 23, 2022

Abstract Estimating soil properties from the mechanical reaction to a displacement is common strategy, used not only in situ characterization (e.g., pressuremeter and dilatometer tests) but also by biological organisms roots, earthworms, razor clams), which sense stresses explore subsurface. Still, absence of analytical solutions predict stress deformation fields around cavities subject geostatic stress, has prevented development methods that resemble strategies adopted nature. We use finite element method (FEM) model displacement-controlled expansion under wide range conditions properties. The radial distribution at cavity wall during extracted. Then, are proposed prepare, transform such distributions back-calculate far field parameters material (Mohr-Coulomb friction angle $$\phi $$ ϕ , Young’s modulus E ). Results show that: (i) initial can be fitted sum cosines estimate stresses; (ii) By encoding as intensity images, addition certain scalar parameters, convolutional neural networks consistently accurately soil.

Язык: Английский

Multiscale modeling of diffuse damage and localized cracking in quasi-brittle materials under compression with a quadratic friction law DOI Creative Commons
Lun‐Yang Zhao, Lu Ren, Linghui Liu

и другие.

International Journal of Solids and Structures, Год журнала: 2024, Номер 304, С. 113038 - 113038

Опубликована: Авг. 23, 2024

The diffuse damage and localized cracking of quasi-brittle materials (i.e., rocks concretes) under compression can be delineated by a matrix-microcrack system, wherein solid matrix phase is weakened large number randomly oriented distributed microcracks, the macroscopic formed progressive evolution microcracks. Several homogenization-based multiscale models have been proposed to describe this but most them are based on linear friction law microcrack surface, rendering strength criterion. In paper, we propose new quadratic within local friction-damage (LMFD) model capture plastic distortion due frictional sliding along rough surface. Following that, Ottosen-type nonlinear criterion rationally derived with up-scaling coupling analysis. An enhanced semi-implicit return mapping (ESRM) algorithm substepping scheme then developed integrate complex constitutive model. performance LMFD evaluated compared wide range experimental data plain concretes, robustness ESRM assessed through series numerical tests. Subsequently, effectively process, regularization combining phase-field established model, discretization independent crack localization numerically verified.

Язык: Английский

Процитировано

2
A nonlocal kernel-based continuum damage model for compaction band formation in porous sedimentary rock DOI
Enrique M. del Castillo, Jun Geng,

Ronaldo I. Borja

и другие.

Computational Mechanics, Год журнала: 2024, Номер unknown

Опубликована: Окт. 4, 2024

Язык: Английский

Процитировано

2
A thermodynamically consistent phase-field model for frictional fracture in rocks DOI Creative Commons
Sijia Liu, Yunteng Wang

International Journal of Plasticity, Год журнала: 2024, Номер unknown, С. 104220 - 104220

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2
On the Influence of Direction-Dependent Behavior of Rock Mass in Simulations of Deep Tunneling Using a Novel Gradient-Enhanced Transversely Isotropic Damage–Plasticity Model DOI Creative Commons
Thomas Mader, Magdalena Schreter, Günter Hofstetter

и другие.

Applied Sciences, Год журнала: 2022, Номер 12(17), С. 8532 - 8532

Опубликована: Авг. 26, 2022

In engineering practice, numerical simulations of deep tunneling are commonly based on isotropic linear–elastic perfectly plastic rock models. Rock, however, exhibits highly nonlinear and distinct direction-dependent mechanical behavior. The former is characterized by irreversible deformation, associated with strain hardening softening, the degradation stiffness; latter due to inherent structure. Nevertheless, majority existing models focuses prediction either material behavior or anisotropic response rock. combined effects behavior, particularly in context tunnel excavation, have rarely been taken into account so far. Thus, it aim present contribution demonstrate influence both evolution deformation stress distribution mass excavation example a well-monitored stretch Brenner Base Tunnel (BBT). To this end, recently proposed gradient-enhanced transversely damage–plasticity (TI-RDP) model, employed for modeling surrounding consisting Innsbruck quartz-phyllite. parameters model identified means three-dimensional finite element triaxial tests specimens quartz-phyllite, conducted varying loading angles respect foliation planes different confining pressures. Subsequently, results 2D presented anisotropy orientations principal directions axis. capabilities TI-RDP assessed comparing numerically predicted those obtained version RDP model.

Язык: Английский

Процитировано

8
Back-calculation of soil parameters from displacement-controlled cavity expansion under geostatic stress by FEM and machine learning DOI Creative Commons
Fernando Patino-Ramirez,

Zijie Jay Wang,

Duen Horng Chau

и другие.

Acta Geotechnica, Год журнала: 2022, Номер 18(4), С. 1755 - 1768

Опубликована: Сен. 23, 2022

Abstract Estimating soil properties from the mechanical reaction to a displacement is common strategy, used not only in situ characterization (e.g., pressuremeter and dilatometer tests) but also by biological organisms roots, earthworms, razor clams), which sense stresses explore subsurface. Still, absence of analytical solutions predict stress deformation fields around cavities subject geostatic stress, has prevented development methods that resemble strategies adopted nature. We use finite element method (FEM) model displacement-controlled expansion under wide range conditions properties. The radial distribution at cavity wall during extracted. Then, are proposed prepare, transform such distributions back-calculate far field parameters material (Mohr-Coulomb friction angle $$\phi $$ ϕ , Young’s modulus E ). Results show that: (i) initial can be fitted sum cosines estimate stresses; (ii) By encoding as intensity images, addition certain scalar parameters, convolutional neural networks consistently accurately soil.

Язык: Английский

Процитировано

8