WHOI-DPRI Coulomb Stress-Transfer Model for the January 12, 2010, MW=7.0 Haiti Earthquake. Using calculated stress changes to faults surrounding the January 12, 2010, rupture on the Enriquillo Fault, and the current (January 12 to 26, 2010) aftershock productivity, scientists from the U.S. Geological Survey (USGS), Woods Hole Oceanographic Institution (WHOI), and Disaster Prevention Research Institute, Kyoto University (DPRI) have made rough estimates of the chance of a magnitude (Mw)≥7 earthquake occurring during January 27 to February 22, 2010, in Haiti.
The probability of such a quake on the Port-au-Prince section of the Enriquillo Fault is about 2 percent, and the probability for the section to the west of the January 12, 2010, rupture is about 1 percent. The stress changes on the Septentrional Fault in northern Haiti are much smaller, although positive. Report PDF (2.2 MB) This report is available only on the Web.
This report is presented in Portable Document Format (PDF); the latest version of Adobe Reader or similar software is required to view it. Source Parameter Search. If the selected source(s) is associated with an event, and this event also satifies all of the other search criteria, then the event will be selected for output. Select from USGS, Global CMT, or, Others. One or more more data sources may be selected. The default is all sources. USGS selects data from the USGS National Earthquake Information Center. USGS Moment Tensor Solutions Data are available starting January 1980. USGS Radiated Energy Data are available starting November 1986. USGS Fault Plane Solutions Data are available starting January 1980. Global CMT Global CMT selects data contributed from the Lamont-Doherty Seismology Group. Centroid, Moment Tensor Data are available starting January 1977. Currently GSN, IDA/IRIS data are used.
See the Global CMT Catalog Search and the Harvard Seismology Home Page. Others Others selects data from other contributors, such as the University of California, Berkeley (BRK), and the Laboratoire de Geophysique, Papeete, French Polynesia (PPT), Earthquake Glossary - stress drop. The Force-Balanced Companies. "Deterministic Earth Mechanical Science" is a milestone in the history of science. Earth Mechanical Science is a deterministic field theory that is entirely composed of physical laws.
They are mathematically inter-related by a few earth material properties coefficients. The earth's surface is the outer boundary condition. The first two essays explain the consequences of this scientific advancement. Energy Minimization, Gravity, Electrostatics, and Earth Mechanics. The laws of mechanics, chemistry and deterministic earth mechanics have much in common. The lower atomic numbered elements tend to form into minimum energy molecules. [Mass-energy] is apparently conserved within the earth and universe.
Earth Gravitational Attractive Force = G (Mass 1 * Mass 2 ) / distance <2> Electron Cloud Electrostatic Repulsive Force = k ( Charge1 * Charge2 )/ distance <2> Gravitational forces extend to the edge of the visible universe. Energy terms and equations are background color coded tan. Mohr fun and the energy of fault generation and fault slip. Structure lecture - Mohr games Readings: Chapt. 9, Mohr Circle for Stress, P. 70-82 in Means, Stress and Strain, Springer Verlag. Read this carefully! Chapt. 27 Energy Consumed in Deformation, p. 263-272 in Means, Stress and Strain, Springer Verlag. Key terms and concepts: Mohr stress space Demonstration by coincidence: Given a 2-D stress tensor, what are the equations for shear and normal stress tractions on a plane at some angle to the x axis?
This diagram defines the position of the plane using option b above. Applet to plot Mohr diagrams given basic input. Stress plots on Mohr diagram are useful to develop visual intuition with regard to stress states in Mohr space through the following rules. A brief introduction into 3-D Mohr space. Mohr - Coulomb failure criteria Now we can explore how mapping stress states in Mohr space can help understand faulting. Critical shear stress for slip = a strength intercept + the normal traction multiplied by a strength factor. Tensile cutoff: Basic physics: Identification geotechnique de materiaux concasses-types en corps de chaussees et evaluation de leur qualite - Makhaly BA. Université Cheikh Anta Diop de Dakar Faculté des Sciences et Techniques Département de Géologie DEAMémoire de Diplôme d'Etudes Approfondies en Géosciences Option : Environnements sédimentairesMention : Géotechnique Identification géotechnique de matériaux concassés-types en corps de chaussées et évaluation de leur qualité Présenté et soutenu publiquement le 24 / 06 / 2008 par :Makhaly BAMaître ès SciencesDevant la commission d'examen composée de : Mamadou FALL Président UCAD Meïssa FALL Rapporteur UCAD Mouhamadoul Bachir DIOUF Examinateur UCAD Moustapha DIENE Examinateur UCAD A travers ce travail, je voudrais rendre un hommage mérité aux personnes qui ont contribué de près ou de loin à l'élaboration de ce mémoire de Diplôme d'Etudes Approfondies.
Monsieur Mamadou FALL, Maître de conférences, pour le suivi et l'encadrement constant qu'il accorde aux étudiants. Monsieur Meïssa FALL, Docteur-Ingénieur en Génie civil et minier, pour avoir dirigé l'encadrement scientifique et la rédaction de ce travail. Prediction of draft forces in cohesionless soil with the Discrete Element Method 10.1016/j.jterra.2011.08.003 : Journal of Terramechanics. Abstract The Discrete Element Method (DEM) is applied to predict draft forces of a simple implement in cohesionless granular material. Results are compared with small-scale laboratory tests in which the horizontal force is measured at a straight blade.
This study is focused on the case of cohesionless material under quasi-static conditions. The DEM requires the calibration of the local contact parameters between particles to adjust the bulk material properties. In contrast to empirical formulas for this kind of application, the DEM model can easily be extended to more complex tool geometries and trajectories. Graphical abstract Numerical Simulation of Draft Forces with DEM. Highlights Keywords Discrete Element Method; DEM; Reaction force; Soil–tool interaction.
Science & Nature - Horizon - Earthquake Storms. CTM: Plotting in Matlab. Contents One of the most important functions in MATLAB is the plot function. The plot command also happens to be one of the easiest functions to learn how to use. The basic syntax of the function call is shown below. This code can be entered in the MATLAB command window or run from an m-file. plot(x,y) This command will plot the elements of vector y (on the vertical axis of a figure) versus the elements of the vector x (on the horizontal axis of the figure). Y=3x If we wished to plot this function, we could create an m-file with the following code to generate the basic plot shown below. x = 0:0.1:100; y = 3*x; plot(x,y) One thing to keep in mind when using the plot command is that the vectors x and y must be the same length.
The plot command can also be used with just one input vector. Plot aesthetics The color, point marker, and line style can be changed on a plot by adding a third parameter (in single quotes) to the plot command. X = 0:0.1:100; y = 3*x; plot(x,y,'r:') Subplotting. Exemple de représentation graphique en dimension deux. Suivant: Autres types de représentation monter: Représentation graphique sous Matlab précédent: Représentation graphique sous Matlab Table des matières En exécutant le script suivant: x=linspace(0,pi,30); % crée un tableau de 30 composantes uniformément % réparties entre 0 et pi y=sin(x); plot(x,y) %relie les points (xi,yi) par un trait continu noir plot(x,y,'p-b') %relie les points (xi,yi) par un trait continu de couleur et %matérialise les points avec un symbole plot(x,y,'pb') %matérialise les points (xi,yi) avec un symbole de couleur Les points peuvent être matérialisés par le symbole p prenant les valeurs suivants: Les couleurs sont repérées par leur initiale en anglais: r(ed), b(lue), blac(k), w(hite), y(ellow), m(agenta), g(reen) On peut rajouter un titre à la figure avec la commande title title('sin(x) sur l''intervalle [0,pi]') (Remarquer l'emploi d'une double apostrophe pour en faire figurer une dans une chaîne de caractères délimitée justement par deux apostrophes.)
Graph legend for lines and patches - MATLAB. The legend function places a legend on various types of graphs (line plots, bar graphs, pie charts, etc.). For each line plotted, the legend shows a sample of the line type, marker symbol, and color beside the text label you specify. When plotting filled areas (patch or surface objects), the legend contains a sample of the face color next to the text label. The font size and font name for the legend strings match the axes FontSize and FontName properties. legend('string1','string2',...) displays a legend in the current axes using the specified strings to label each set of data. legend(h,'string1','string2',...) displays a legend on the plot containing the objects identified by the handles in the vector h and uses the specified strings to label the corresponding graphics object (line, barseries, etc.). legend(M) adds a legend containing the rows of the matrix or cell array of strings M as labels.
Legend(axes_handle,...) displays the legend for the axes specified by axes_handle. legend(... 4. Creating your first scientific poster with PosterGenius | Create your scientific poster in less than 10 minutes. Topic: Learn how to create your first scientific poster with PosterGenius™. Soon after you launch PosterGenius™ you will see the Welcome screen. Welcome screen Click on "New poster from Wizard". A poster creation guide is launched, which will guide you to create your scientific poster through a few simple steps. Step 1 of 4 In the first step, define the dimensions of your scientific poster according to the conference guidelines.
Note: Owners of a PosterGenius™ License are eligible for free updates to the Library of Conference Guidelines. You may also filter the list by professional or research field and year, in order to see only conferences that you are interested in. Furthermore, you may search in the "Search... " field for the name or part of the name of the conference you are interested in.
Lastly, if the conference to which you are submitting your scientific poster is not included in the library, you may manually define the poster dimensions. Step 2 of 4 Step 3 of 4 Step 4 of 4 Adding Text. Designing conference posters » Colin Purrington. A large-format poster is a big piece of paper or wall-mounted monitor featuring a short title, an introduction to your burning question, an overview of your novel experimental approach, your amazing results in graphical form, some insightful discussion of aforementioned results, a listing of previously published articles that are important to your research, and some brief acknowledgement of the tremendous assistance and financial support conned from others — if all text is kept to a minimum (less than a 1000 words), a person could fully read your poster in 5-10 minutes. Section content • DOs and DON’Ts • Adding pieces of flair • Presenting • Motivational advice • Software • Templates • Printing • Useful literature • Organizing a poster session What to put in each section Below, I’ve provided rough tips on how many words each of these sections might have, but those guesses are assuming you have a horizontal poster that is approximately 3×4′.
Adjust accordingly. DOs and DON’Ts 1. 2. 3. Derniers événements sismiques. Weather and Geo/Space Events.
Seismes Pérou. Silent earthquakes and tremors. Coseismic Slip and Afterslip of the Great Mw 9.15 Sumatra–Andaman Earthquake of 2004. Power spectral density function. Massey University - Image and Signal Processing Research. Introduction to Adaptive Signal Processing. This note shows an example of an autocorrelation function of a signal which is obtained by filtering a unit normal (zero-mean) white noise (discrete-time) by an 8-th order low-pass digital Butterworth filter. Consider the Butterworth filter B(z)/A(z) designed to be a low-pass filter with cut-off frequency equal to 10% of the (1/2) of sampling rate. Such a filter can be easily designed by using Matlab command butter.m Simply invoke the command by typing [b,a]=butter(N,Wn) where N is the chosen order of the filter, and Wn is a fraction of the Nyquist frequency corresponding to (1/2) the sampling rate.
Figure 6 below shows the location of poles and zeros of B(z)/A(z) in the complex plane. Fig. 6 One can see that the poles are quite 'oscillatory', there are 4 pairs of complex conjugate poles. As a result of this design, the filter amplitude-frequency characteristics drops sharply after the cutoff frequency. Figure 7 Impulse response of the filter is shown on the Figure below. Figure 8 Fig. 9. Job vacancies.