I am a first year student of civil school in Myanmar.
I wanna get knowledge from all of you about civil engineering. Please show me the way to the success by a civil engineer .If u have something to guide me,u can send email nalazyboy [at] gmail.com (nalazyboy[at]gmail[dot]com)
thanks to all
Time: Tuesday and Thursday 2:00 - 3:30 pm
Place: ECJ 1.214, University of Texas at Austin
Instructor: Rui Huang, WRW 117D, (512) 471-7558, ruihuang [at] mail.utexas.edu (ruihuang[at]mail[dot]utexas[dot]edu)
Lecture notes (coming soon)
Homewrok sets (coming soon)
A linear constitutive thermodynamic relation between thermodynamic force f and flux v.
v = Mf, where M is the phenomological coefficient.
How to constitute a nonlinear thermodynamic constitutive relation for an unknown system which we expect to exibit nonlinear behaviour?
ExxonMobil Research and Engineering Company has immediate openings in Computational Geomechanics and Rock Physics at its Corporate Strategic Research Laboratory in Annandale, NJ.
To be considered, applicants must satisfy the requirements described in the attached flyer and submit a cover letter and resume directly to the ExxonMobil website (www.exxonmobil.com/ex).
I am using exponent Drucker-Prager model at the moment, is there anyone can tell me where the follow exponent D-P eqation comes from originally?
(σ e)(σ e)=λ(σt)(σt)-3(λ-1)σmσt
Where λ= is hydrostatic stress sensitivity parameter and equal to σc/σt, σe is effective stress, σm is hydrostatic stress, σc, σt are stresses under compression and tension, respectively.
I am doing my master thesis on crash simulation of plywood (7 layers-orthotropic material) structures in buses using explicit LS-DYNA FE program. I would like to include failure in my model. Right now I am working on Mat_054_55 (MAT_ENHANCED_COMPOSITE_DAMAGE…..material model from LS-DYNA material library).
Mat_054_55 allows me to get failure by defining anyone of the following parameters,
In a recent rapid communication (see attached paper), using principles of pattern formation, we expose some simple stategies to reliably produce perfect long range order in self-assembling systems. Most self-assembling systems exhibit short ranged order. This imperfection is detrimental to several practical applications. It is almost always possible to produce perfect patterns in small domain sizes but self-assembly over a larger areal span results in defects.
