1,721,041 research outputs found
Thermo-tectonic evolution of a convergent orogen with low topographic build-up: Exhumation and kinematic patterns in the Romanian Carpathians derived from thermochronology
Andriessen, P.A.M. [Promotor]Matenco, L.C. [Copromotor
Crustal structure of the SE Carpathians and its foreland from densely spaced geophysical data
Cloetingh, S.A.P.L. [Promotor]Mocanu, V. [Promotor]Stephenson, R.A. [Copromotor]Matenco, L.C. [Copromotor
High-resolution morpho-tectonic profiling across an orogen: tectonic-controlled geomorphology and multiple dating approach in the SE Carpathians
Andriessen, P.A.M. [Promotor]Dinu, C. [Promotor]Matenco, L.C. [Copromotor]Fielitz, W. [Copromotor
Interrelated Orogenic Building and....: Evidence from low-...
Andriessen, P.A.M. [Promotor]Matenco, L.C. [Copromotor
Foreland of the Romanian Carpathians : Controls on late orogenic sedimentary basin evolution and Paratethys paleogeography
Cloetingh, S.A.P.L. [Promotor]Matenco, L. [Copromotor]Bertotti, G. [Copromotor
Orogenic uplift and basin evolution in the Carpathians system during and after continental collision (invited)
Earthquake nucleation and recurrence in laboratory, reservoir and tectonic settings
Numerical models are essential for bridging the spatial and temporal scales between natural observations and laboratory experiments, enabling the validation and generation of scientific hypotheses. Recent advancements in instrumentation have significantly improved the quality of observations, especially in the Groningen gas field since the 2012 Huizinge earthquake (ML 3.6). Experiments on borehole samples under in-situ conditions provide critical data on the physical properties of geological layers. With numerical models mastering homogeneous setups, these enriched datasets now allow the development and testing of models to understand how earthquake nucleation and sequences are influenced by heterogeneous material parameters and dimensions, from laboratory experiments to the Groningen gas reservoir. I developed and validated (quasi-)dynamic earthquake sequence models across various dimensions and time scales, considering factors such as tectonic motions, gas extraction, reservoir compaction, and fluid flow.
A key focus is on the impact of spatial dimension reduction. Simplifying models by reducing spatial dimensions can qualitatively and quantitatively affect outcomes like recurrence intervals, coseismic slip, and rupture speeds. I developed a theoretical framework to explain these changes and demonstrated that lower-dimensional models can replicate key higher-dimensional results with efficiency. Additionally, I investigated the influence of normal stress heterogeneity on earthquake nucleation. Five regimes of nucleation and slip behaviors were identified, governed by the ratio of heterogeneity wavelength to nucleation length. Lastly, I tackled the paradox of induced earthquakes on supposedly stable faults and apply the findings to build a more realistic heterogeneous model for Groningen. I emphasize the significance of fault healing over geological timescales, suggesting that even velocity-strengthening faults can host induced earthquakes. Overall, this thesis enhances our understanding of earthquake nucleation and sequences, providing insights for seismic hazard assessments across different scales and tectonic settings
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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