Nonlinear Mesoscopic Elasticity: The Complex Behaviour of Rocks, Soil, Concrete

This handbook brings together a great deal of new data on the static and dynamic elastic properties of granular and other composite material. The authors are at the very center of today's research and present new and imported theoretical tools that have enabled our current understanding of the complex behavior of rocks.
There are three central themes running throughout the presentation:
· Rocks as the prototypical material for defining a class of materials
· The PM space model as a useful theoretical construct for developing a phenomenology
· A sequence of refined analysis methods.
This suite of new methods for both recording and analyzing data is more than a single framework for interpretation, it is also a toolbox for the experimenter. A comprehensive and systematic book of utmost interest to anybody involved in non-destructive testing, civil engineering, and geophysics.

Paul Johnson is a Senior Technical Staff Member at Los Alamos National Laboratory and head of the group working on elastic nonlinearity. He obtained his Doctorate in Physical Acoustics from the Sorbonne (Paris VII) in 1997, after obtaining an MS degree in Geophysics from the University of Arizona, and a BS degree in Geology from the University of New Mexico. His interests include nonlinear and disordered systems in general, seismic strong ground motion and source characteristics, and nonlinear nondestructive evolution, time reverse acoustics and rock physics. Prof. Johnson is a fellow of the Acoustical Society of America and of the Los Alamos National Laboratory. He (co)-authored approximately 100 research papers and holds three patents.

Robert Guyer received his Ph.D. degree in physics from Cornell University, Ithaca, New York. He holds a post as a Full Professor of Physics at the University of Massachusetts, Amherst, from which he retired in 2006. Professor Guyer’s interests focus on quantum fluids and solids, transport in disordered media, linear/nonlinear elasticity and perspicacious data analysis.