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Using Milankovitch Cycles to create high-resolution astrochronologies

November 30, 2020

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AIM/MCRN Summer School: Week 6

August 2, 2020

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Professor Christopher K.R.T. Jones — Recipient of the 2020 MPE Prize


Professor Chris Jones is the Bill Guthridge Distinguished Professor in Mathematics at the University of North Carolina at Chapel Hill and Director of the Mathematics and Climate Research Network (MCRN). The 2020 MPE Prize recognizes Professor Jones for his many significant contributions to climate science and the mathematics of planet Earth.

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Mathematics Can Improve Seismic Risk Protection

Geophysics, Natural Disasters

Mathematical and numerical modeling can be used to better understand the physics of earthquakes, improve the design of site-specific structures and facilities, and enhance seismic-risk maps.

The reliability of existing tools for earthquake and ground-motion prediction, which are based on empirical relations involving earthquake magnitude, source-to-site distance, fault mechanisms and soil properties, has recently been brought into question. Instead, numerical deterministic simulations have become increasingly popular, mainly because they provide sufficiently accurate and reliable ground-motion predictions to quantify the potential risks from earthquakes. By simulating a number of realistic earthquake scenarios, we can obtain reliable estimates of the severity of seismic events and their possible effects on large urban areas—especially important in cases where we have few historical data—and establish collapse-prevention procedures for strategic structures located in the proximity of a fault.

Northern Italy Earthquake (2012)

Three-­dimensional model of the Northern Italy earthquake (2012). Fault description (left) and computational domain (right; different colors represent different soil properties).

Northern Italy Earthquake (2012)

Northern Italy earthquake (2012). Computed peak ground velocity.

SPEED is a certified open-source code for the prediction of near-fault ground motion and the seismic response of three-dimensional structures. SPEED is the product of a collaboration of the Laboratory for Modeling and Scientific Computing (MOX) in the Department of Mathematics and the Department of Civil and Environmental Engineering at the Politecnico di Milano. The code has been tested in a number of realistic seismic events, including the earthquakes in L’Aquila, Italy (2009), Chile (2010), Christchurch in New Zealand (2011), and Northern Italy (2012).

Prof. Alfio Quarteroni
Modeling and Scientific Computing
SB-SMA-MATHICSE-CMCS
Station 8 – EPFL
CH-1015 Lausanne
Switzerland

This entry was posted in Geophysics, Natural Disasters by Guest Blogger. Bookmark the permalink.

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