Publications related to Injection-Induced Aseismic Slip in Tight Fractured Rocks

Related publications (19)

Toughening of thick bonded interfaces through architected crack-arresting features

Anastasios Vassilopoulos, Dharun Vadugappatty Srinivasan

This research investigates the application of additively manufactured crack-arresting features (CAFs), designed from tough and soft polymers, in enhancing the performance of thick glass fiber-reinforced polymer composite-epoxy adhesive joints found in wind ...

2025

Shearing and opening of a pre-existing discontinuity in response to fluid injection

Ankit Gupta, Brice Tanguy Alphonse Lecampion, Alexis Alejandro Sáez Uribe, Ankit Gupta

We investigate the fluid-driven growth of a shear crack along a frictional discontinuity and its transition to hydraulic fracturing (sometimes referred to as hydraulic jacking) under plane-strain conditions. We focus on the case of a constant friction coef ...

2023

The Fano Noise Suppression Factor and the Gm/ID FoM

Christian Enz, Hung-Chi Han

This paper establishes the close relation that exists between the Fano noise suppression factor F and the Gm/ID FoM showing that F is proportional to the product of the thermal noise excess factor γn and the normalized Gm/ID function. Taking advantage of t ...

IEEE2023

Engineered substrates incapable of induction of chondrogenic differentiation compared to the chondrocyte imprinted substrates

Philippe Renaud, Leila Montazeri

It is well established that surface topography can affect cell functions. However, finding a reproducible and reliable method for regulating stem cell behavior is still under investigation. It has been shown that cell imprinted substrates contain micro- an ...

IOP Publishing Ltd2023

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

Alfio Quarteroni

Background and objectives: Parameter estimation and uncertainty quantification are crucial in computa-tional cardiology, as they enable the construction of digital twins that faithfully replicate the behavior of physical patients. Many model parameters reg ...

ELSEVIER IRELAND LTD2023

Bounding the localized to ductile transition in porous rocks: implications for geo-reservoirs

Marie Estelle Solange Violay, Gabriel Gérard Dominique Meyer

Porous rocks have long been the focus of intense research driven by their importance in our society as host to our most essential resources (oil, gas, water, geothermal energy, etc), yet their rheology remains poorly understood. With increasing depth, poro ...

2023

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

Silvestro Micera

Objective. The optic nerve is a good location for a visual neuroprosthesis. It can be targeted when a subject cannot receive a retinal prosthesis and it is less invasive than a cortical implant. The effectiveness of an electrical neuroprosthesis depends on ...

IOP Publishing Ltd2023

Local relaxation of residual stress in HFMI-treated high-strength steel welded joints subjected to high-peak loads

Alain Nussbaumer

This study investigates the effect of high-peak loads on local relaxation of residual stress and fatigue damage in HFMI-treated high-strength steel welded joints. The finite element simulations are applied to consider the combined effect of geometry, mater ...

Elsevier B.V.2023

A probabilistic deformation-based seismic hazard model for Iran

Alireza Khodaverdian

Probabilistic seismic hazard analysis, as the most prevalent approach to evaluate earthquake hazard, is commonly based on earthquake catalogs. Although previous studies show that the recurrence time of large-magnitude (M-w > 7.0) events in Iran is more tha ...

2022

Micromechanically inspired investigation of cemented granular materials: part I-from X-ray micro tomography to measurable model variables

Edward Carlo Giorgio Andò

Cemented granular materials are abundant in nature and are often artificially produced. Their macroscopic behaviour is driven by small-scale material processes, which are generally classified as: grain breakage, cement damage and fragment rearrangement. Th ...

SPRINGER HEIDELBERG2022

Adhesive wear with a coarse-grained discrete element model

Jean-François Molinari, Son-Jonathan Pham-Ba

The use of molecular dynamics (MD) simulations has led to promising results to unravel the atomistic origins of adhesive wear, and in particular for the onset of wear at nanoscale surface asperities. However, MD simulations come with a high computational c ...

ELSEVIER SCIENCE SA2022

Sonomyographic Prosthetic Interacion: Online Simultaneous and Proportional Control of Wrist and Hand Motions Using Semisupervised Learning

Xingchen Yang

Human hands play a very important role in daily object manipulation. Current prosthetic hands are capable of mimicking most functions of the human hand, but how to interact with prosthetic hands based on human intentions remains an open problem. In this ar ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Decentralized Gan Training Through Diffusion Learning

Ali H. Sayed, Noé Stauffer

Most available studies on distributed GAN architectures focus on implementations with a fusion center. In this work, we propose a fully decentralized scheme by employing a diffusion strategy to train a network of GANs. We interpret the training procedure a ...

IEEE2022

The Biogeochemical Legacy of Arctic Subglacial Sediments Exposed by Glacier Retreat

Tyler Joe Kohler

During past periods of advance, Arctic glaciers and ice sheets overrode soil, sediments, and vegetation and buried significant stores of organic matter (OM); these glaciers are now shrinking rapidly due to climate warming. Little is known about the biogeoc ...

2022

Adversarial training with informed data selection

Pascal Frossard, Javier Alejandro Maroto Morales

With the increasing amount of available data and advances in computing capabilities, deep neural networks (DNNs) have been successfully employed to solve challenging tasks in various areas, including healthcare, climate, and finance. Nevertheless, state-of ...

IEEE2022

Dynamic SCL Decoder With Path-Flipping for 5G Polar Codes

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Yifei Shen

Since polar were ratified as part of the 5G standard, low-complexity polar decoders with close-to-optimum error-rate performance have received significant attention. Compared to successive cancellation (SC) decoding, both SC list and SC flip decoding can i ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

The influence of roughness on experimental fault mechanical behaviour and associated microseismicity

Brice Tanguy Alphonse Lecampion, Marie Estelle Solange Violay, François Xavier Thibault Passelègue, Carolina Giorgetti, Seyyedmaalek Momeni, Barnaby Padraig Fryer

Fault surfaces are rough at all scales, this significantly affecting fault-slip behaviour. However, roughness is only occasionally considered experimentally and then often in experiments imposing a low slip velocity, corresponding to the initiation stage o ...

2022

Manufacturing and toughening effects on the material properties of wind turbine blade adhesives

Anastasios Vassilopoulos, Dharun Vadugappatty Srinivasan

Hybrid adhesives can be developed using commercially available adhesive materials and customized to the required loading conditions. In this paper, SPABONDTM 820HTA (non-toughened) and SPABONDTM 840HTA (toughened) adhesives are hybridized by two strategies ...

2022

A semantic-driven tradespace framework to accelerate aircraft manufacturing system design

Dimitrios Kyritsis, Jinzhi Lu, Xiaochen Zheng

During the design phase of an aircraft manufacturing system, different industrial scenarios need to be evaluated according to key performance indicators to achieve the optimal system performance. It is a highly complex process involving multidisciplinary s ...

SPRINGER2022