A5045439783- earthquake and tectonic studies
- Seismology and Earthquake Studies
- Geochemistry and Geologic Mapping
- Earthquake Detection and Analysis
- Machine Learning in Materials Science
- High-pressure geophysics and materials
- Microstructure and mechanical properties
- Geological and Geochemical Analysis
- Building materials and conservation
- Structural Analysis of Composite Materials
- 3D Surveying and Cultural Heritage
- Anomaly Detection Techniques and Applications
- Hydrogen embrittlement and corrosion behaviors in metals
- Additive Manufacturing and 3D Printing Technologies
- Innovations in Concrete and Construction Materials
- Seismic Waves and Analysis
- Advanced Sensor and Energy Harvesting Materials
- Geological Formations and Processes Exploration
- Topology Optimization in Engineering
- Complex Systems and Time Series Analysis
- High Temperature Alloys and Creep
- Reservoir Engineering and Simulation Methods
- Cellular and Composite Structures
- Housing Market and Economics
- Dielectric materials and actuators
University of Milan
2024
Friedrich-Alexander-Universität Erlangen-Nürnberg
2020-2023
ETH Zurich
2011-2016
University of Potsdam
2011
The 2013 European Seismic Hazard Model (ESHM13) results from a community-based probabilistic seismic hazard assessment supported by the EU-FP7 project "Seismic Harmonization in Europe" (SHARE, 2009–2013). ESHM13 is consistent model for Europe and Turkey which overcomes limitation of national borders includes through quantification uncertainties. It first completed regional effort contributing to "Global Earthquake Model" initiative. might serve as reference various applications, earthquake...
Abstract In this paper we present a penalized likelihood‐based method for spatial estimation of Gutenberg‐Richter's b value. Our incorporates nonarbitrary partitioning scheme based on Voronoi tessellation, which allows the optimal space using minimum number free parameters. By random placement an increasing nodes, are able to explore whole solution in terms model complexity. We obtain overall likelihood each by estimating values all regions and calculating its joint Aki's formula. Accounting...
Abstract Being able to predict the failure of materials based on structural information is a fundamental issue with enormous practical and industrial relevance for monitoring devices components. Thanks recent advances in deep learning, accurate predictions are becoming possible even strongly disordered solids, but sheer number parameters used process renders physical interpretation results impossible. Here we address this use machine learning methods simulated two dimensional silica glasses...
We present a time-independent gridded earthquake rate forecast for the European region including Turkey. The spatial component of our model is based on kernel density estimation techniques, which we applied to both past locations and fault moment release mapped crustal faults subduction zone interfaces with assigned slip rates. Our relies assumption that seismicity good guide future seismicity, large-magnitude events occur more likely in vicinity known faults. show optimal weighted sum...
We present a testable stochastic earthquake source model for intermedi- ate- to long-term forecasts. The is based on fundamental observations: the frequency-magnitude distribution, slip rates major faults, strain rates, and parameter values of instrumentally recorded historic earthquakes. basic building blocks are two pairs probability density maps. first pair consists smoothed seismicity weighted focal mechanisms observed second corresponds mapped faults their moment-rate fault geometry....
Research Article| January 27, 2015 Improved Seismicity Forecast with Spatially Varying Magnitude Distribution Stefan Hiemer; Hiemer aSwiss Seismological Service, Institute of Geophysics ETH Zürich, Sonneggstrasse 5, 8092 Switzerlands.hiemer@gmail.com Search for other works by this author on: GSW Google Scholar Yavor Kamer Author and Article Information Publisher: Society America First Online: 14 Jul 2017 Online Issn: 1938-2057 Print 0895-0695 © 2016 the Letters (2016) 87 (2A): 327–336....
Abstract Plasticity modelling has long relied on phenomenological models based ad-hoc assumption of constitutive relations, which are then fitted to limited data. Other work is the consideration physical mechanisms seek establish a foundation observed plastic deformation behavior through identification isolated defect processes (’mechanisms’) either experimentally or in simulations and serve formulate so-called physically models. Neither these approaches adequate capture complexity belongs...
Spatial and temporal features are studied with respect to their predictive value for failure time prediction in subcritical machine learning (ML). Data generated from simulations of a novel, brittle random fuse model (RFM), as well elasto-plastic finite element (FEM) stochastic plasticity damage, both models considering thermally activated damage/failure processes disordered materials. Fuse networks hierarchical nonhierarchical architectures. Random forests - specific ML algorithm allow us...
Abstract In this study, a flexible strain sensor consisting of carbon nanotubes (CNTs) and ethylene‐vinyl acetate (EVA)‐based hot‐melt adhesive web (HAW) is proposed with the advantages low cost easy fabrication. Six different weight fractions CNTs were employed in producing three‐layer sandwich‐structure composite membrane. The morphology internal particle structure cross section EVA/CNTs membranes was studied using scanning electron microscopy. mechanical properties as well...
Research Article| May 01, 2011 Determination of τ0 and Rock Site κ from Records the 2008/2009 Earthquake Swarm in Western Bohemia Stefan Hiemer; Hiemer Swiss Seismological Service, ETH Zurich Sonneggstrasse 5 8092 Zurich, Switzerland shiemer@student.ethz.ch (S. H.) 1Now at Search for other works by this author on: GSW Google Scholar Frank Scherbaum; Scherbaum Dirk Roessler; Roessler Nicolas Kuehn Letters (2011) 82 (3): 387–393. https://doi.org/10.1785/gssrl.82.3.387 Article history first...
We present rigorous tests of global short-term earthquake forecasts using Epidemic Type Aftershock Sequence models with two different time kernels (one exponentially tapered Omori kernel (ETOK) and another linear magnitude dependent (MDOK)). The are conducted three cutoffs for the auxiliary catalog (M3, M4 or M5) primary (M5 M6), in 30 day long pseudo prospective experiments designed to forecast worldwide M ≥ 5 6 earthquakes during period from January 1981 October 2019. MDOK ETAS perform...
Abstract A time-honored approach in theoretical materials science revolves around the search for basic mechanisms that should incorporate key feature of phenomenon under investigation. Recent years have witnessed an explosion across areas a data-driven fueled by recent advances machine learning. Here we provide brief perspective on strengths and weaknesses mechanism based approaches context mechanics materials. We discuss literature dislocation dynamics, atomistic plasticity glasses focusing...