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IC Project: w19_hossfault “Modelling of stick-slip behavior in sheared granular fault gouge & nonlinear elasticity behavior in cracked solid”
Low frequency earthquakes, non-volcanic tremor, and acoustic emissions are examples of weak seismic signals that may help detect major seismic events, i.e., earthquakes. In a laboratory setting, in which stick-slip events are simulated, acoustic emissions are detected far from the stick-slip events. In both, field and laboratory scale cases, the acoustic emission signals are sourced or detected in a volume remote from the volume that spawns the earthquake. Therefore, it is relevant to establish the causal relationship between signals detected on passive, remote monitors and the dynamics of the elastic structures that launch important seismic events. The work conducted under this IC allocation allowed us to utilize a numerical model that let us follow this causality, i.e., examine and connect the dynamics in a granular system (fault gouge), to signals detected on passive remote monitors. It was demonstrated that stress chains are key in the dynamics of granular systems and that their evolution is the source of the acoustic emission.
High Level Potential Crack Identification and Detection [Slides]
Abstract not provided.
Experimentally Validated Computational Modeling of Creep and Creep-Cracking for Nuclear Concrete Structures
In a Nuclear Power Plant, one of the most important components is the concrete nuclear reactor cavity, which serves both a structural and protective function as the biological radiation shield. Given that creep has been identified as a major knowledge gap in the assessment of nuclear structures (NUREG/CR-7153), this work helps to further the understanding of creep behavior of massive concrete containment structures for decades to enable safe and long-term operation of these facilities. This project has developed a robust, experimentally validated model to predict creep in nuclear concrete structures for up 60 years using short-term creep data thereby enabling a longer service life of critical facilities and early detection of structural failure. The work presented in this report is a pairing of computational and experimental methods. For the first time, the time temperature superposition (TTS) principle was successfully used to generate a uniaxial creep compliance master curve to predict mortar creep response for up to 22,500 days (nearly 60 years) at a reference temperature of 20°C. These data were used as input into finite element analysis (FEA) codes that use highly realistic random, 3D concrete microstructures from reconstructed coarse limestone aggregates. Finite element analysis performed provides the ability to quickly upscale mortar viscoelastic behavior to long-term concrete creep/relaxation data. A master creep compliance curve, constructed from the TTS principle, spanning 27 years, was used to validate two and a half decades of simulated concrete creep. Concurrently, three different simulated wall specimens were designed to mimic the behavior of post-tensioned concrete nuclear containment facility vessel walls over time as a result of concrete creep. The specimens were designed with different thicknesses, transverse and longitudinal reinforcement ratios, and level of post-tensioning stress. Each specimen contained various instrumentation to measure internal concrete temperature, concrete strain, and post-tensioning strain hourly for over 3 years. The concrete creep model developed in this project, based on the FEA concrete simulations, was applied to simulate the structural-scale experiments of prestressed concrete walls conducted in this project using the Grizzly code. These models can represent the effects of reinforcing and prestressing. Although there are some discrepancies with the experimental data, the model can predict the overall trends of the creep response in these experiments. One of these experimental models was also applied to an extended time to demonstrate how the findings from this study can be used to predict the behavior of actual structures of interest that have been in service for extended periods of time.
Automatic Potential Crack Identification from Wide Area Measurement System (WAMS) Data
Abstract not provided.
SEP – Second Triennial Review, Information for HW-012: Inspection Record with action requirement for repair of asphalt cracks
Remedy within 24 hrs any deterioration or malfunction of equipment/structure that may lead to environmental or health hazard.
DOE Stress Corrosion Cracking Research at Sandia National Labs.
Abstract not provided.
Measurement of PV Cell Crack Characteristics in PV Modules using Digital Image Correlation.
Abstract not provided.
Additively manufactured stainless steel susceptibility to localized corrosion and stress corrosion cracking.
Abstract not provided.
Evaluating Stress-Corrosion Cracking Susceptibility of Additively Manufactured 316L Summary slides.
Abstract not provided.
Convergence Studies for Meshfree Peridynamic Simulations of Dynamic Crack Growth.
Abstract not provided.
Predicting Stress Corrosion Crack Tip Electrochemical Conditions and the Influence of Exposure Environment.
Abstract not provided.
The Effect of Stress on Pit Morphology and Stress Corrosion Cracking in Type 304 Stainless Steels.
Abstract not provided.
Kinetic model for environmentally assisted crack growth threshold.
Abstract not provided.
Pit and Crack Detection Summary Report SAVY5T1monthTS20230628120032 [Slides]
Abstract not provided.
Pit and Crack Detection Summary Report CurrentVersionTS20230629082254 Clean File Parameter 2 Micron Depth [Slides]
Abstract not provided.
Evaluating the Role of Possible HEAC in Humidity-Dependent Small-Scale Cracking in Austenitic Stainless Steels .
Abstract not provided.