Temperature evolution of an oceanic fracture zone

Similar documents
An Introduction to Partial Differential Equations

Fracture Zone Flexure

TEMPERATURE EVOLUTION ACROSS AN OCEAN FRACTURE ZONE

Differential equations, comprehensive exam topics and sample questions

Math Ordinary Differential Equations Sample Test 3 Solutions

Math 4263 Homework Set 1

PH2130. Week 1. Week 2. Week 3. Questions for contemplation. Why differential equations? Why usually linear diff eq n s? Why usually 2 nd order?

Jim Lambers MAT 285 Spring Semester Practice Exam 2 Solution. y(t) = 5 2 e t 1 2 e 3t.

Partial Differential Equations

(b) What is the amplitude at the altitude of a satellite of 400 km?

Solutions of differential equations using transforms

KINEMATICS & DYNAMICS

Partial Differential Equations

e (x y)2 /4kt φ(y) dy, for t > 0. (4)

PDEs, part 1: Introduction and elliptic PDEs

6. Continuous Release - Point Source

Solving First Order PDEs

EXAM. Exam #1. Math 3350 Summer II, July 21, 2000 ANSWERS

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section:

Ishik University / Sulaimani Architecture Department. Structure. ARCH 214 Chapter -5- Equilibrium of a Rigid Body

Math 240: Spring-mass Systems

GEOL5690 Class notes #2: Passive Margins & Thermal Subsidence

Numerical Methods for PDEs

Differential Equations

Partial Differential Equations (PDEs)

Sturm-Liouville Theory

MATH 2250 Final Exam Solutions

Functions of Several Variables

Lecture 10. (2) Functions of two variables. Partial derivatives. Dan Nichols February 27, 2018

Power Series and Analytic Function

Pithy P o i n t s Picked I ' p and Patljr Put By Our P e r i p a tetic Pencil Pusher VOLUME X X X X. Lee Hi^h School Here Friday Ni^ht

1.061 / 1.61 Transport Processes in the Environment

Geotherms. Reading: Fowler Ch 7. Equilibrium geotherms One layer model

Generating and characteristic functions. Generating and Characteristic Functions. Probability generating function. Probability generating function

Math 251 December 14, 2005 Answer Key to Final Exam. 1 18pt 2 16pt 3 12pt 4 14pt 5 12pt 6 14pt 7 14pt 8 16pt 9 20pt 10 14pt Total 150pt

Math 240: Spring/Mass Systems II

A proof for the full Fourier series on [ π, π] is given here.

Ex. 1. Find the general solution for each of the following differential equations:

Solving First Order PDEs

Partial Differential Equations Summary

1 f. result from periodic disturbance same period (frequency) as source Longitudinal or Transverse Waves Characterized by

LECTURE 14: REGULAR SINGULAR POINTS, EULER EQUATIONS

Fundamental Solution

UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH

Mathematics 2 for Business Schools Topic 7: Application of Integration to Economics. Building Competence. Crossing Borders.

Topics in Fourier analysis - Lecture 2.

Final Exam May 4, 2016

Chap 4. State-Space Solutions and

The Pseudospectral Method

Computer Vision & Digital Image Processing. Periodicity of the Fourier transform

Kinematics of fluid motion

Review: control, feedback, etc. Today s topic: state-space models of systems; linearization

Elementary ODE Review

Final: Solutions Math 118A, Fall 2013

Introduction of Partial Differential Equations and Boundary Value Problems

Math 1270 Honors ODE I Fall, 2008 Class notes # 14. x 0 = F (x; y) y 0 = G (x; y) u 0 = au + bv = cu + dv

Mathematical Methods - Lecture 9

FOURIER TRANSFORM METHODS David Sandwell, January, 2013

Thermal and compositional structure of the Mantle and Lithosphere

3. Continental Heat Flow. Ge 163 4/3/15

Sample Solutions of Assignment 3 for MAT3270B: 2.8,2.3,2.5,2.7

Elastodynamic single-sided homogeneous Green's function representation: Theory and examples

Darcy s law in 3-D. K * xx K * yy K * zz

Wave Equation Modelling Solutions

The Heat Equation John K. Hunter February 15, The heat equation on a circle

Synthesizing Geometries for 21st Century Electromagnetics

Mathématiques appliquées (MATH0504-1) B. Dewals, Ch. Geuzaine

The Hopf equation. The Hopf equation A toy model of fluid mechanics

Anna University May/June 2013 Exams ME2151 Engineering Mechanics Important Questions.

dy dt = 1 y t 1 +t 2 y dy = 1 +t 2 dt 1 2 y2 = 1 2 ln(1 +t2 ) +C, y = ln(1 +t 2 ) + 9.

OPAC102. The Acoustic Wave Equation

Homework for Math , Fall 2016

M445: Heat equation with sources

Error functions. Nikolai G. Lehtinen. April 23, erf x = 2 x. e t2 dt (1) π. erf ( ) = 1, erf (+ ) = 1 erf (x ) = [erf (x)]

Solutions of Spring 2008 Final Exam

kx m x B N 1 C L, M Mg θ

Computational Neuroscience. Session 1-2

Lecture 9: Kinetic Energy and Work 1

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012

Series Solution of Linear Ordinary Differential Equations

1 Model for gas-liquid reactions Based on film model

A SPECIAL SOLUTION OF CONSTANT COEFFICIENTS PARTIAL DERIVATIVE EQUATIONS WITH FOURIER TRANSFORM METHOD

G: Uniform Convergence of Fourier Series

Do not turn over until you are told to do so by the Invigilator.

Chapter 15. Mechanical Waves

20D - Homework Assignment 4

Section 5.6 Integration by Parts

Equations of motion for the Pendulum and Augmented-Reality Pendulum sketches

Scientific Computing: An Introductory Survey

to the potential V to get V + V 0 0Ψ. Let Ψ ( x,t ) =ψ x dx 2

Find the value of λ. (Total 9 marks)

Math 201 Assignment #11

6 Non-homogeneous Heat Problems

10550 PRACTICE FINAL EXAM SOLUTIONS. x 2 4. x 2 x 2 5x +6 = lim x +2. x 2 x 3 = 4 1 = 4.

Part A: From (14.19) in your text (see notes Stability1 ), we have

IV. Transport Phenomena Lecture 18: Forced Convection in Fuel Cells II

Partial Differential Equations

DIFFERENTIAL EQUATIONS

Harmonic Oscillator. Mass-Spring Oscillator Resonance The Pendulum. Physics 109 Experiment Number 12

Slope Fields, Differential Equations... and Maybe Euler s Method, Too

Transcription:

Temperature evolution of an oceanic fracture one Xiaohua Xu & Zhao Chen October 29, 212

Outline Background Introduction to the Problem Green's Function and the Analytical Solution for Temperature Introduction to Green s Function Solution of Temperature by method of Green s Function Model Topography V.S. Real Topography Solution the Model Topography Topography map with the evolution of Temperature Comparison with the real Topography Conclusions and Discussions

1 Background

1 Background

1 Background The Equation of Heat Conduction: Initial Condition: Boundary Condition: 2 2 1 2 2 x t T T T T( x,, t T ( x m T( x,, t Tmerf ( ( x 2 t T( x,, t = T( x,, t Tm x Automatically Satisfied

2.1 Green's Function The Green s Function can be treated as the temperature at (x,y, at the time t, due to an instantaneous point source of strength unity generated at the point P(x,y, at time t. We solve G and make a Convolution with the Initial Condition T, we will get the solution. 2 2 G ( G G ( x x 2 2 ( ( t t t x The Green s Function also satisfy the same B.C. as T does. G( x,, t = To satisfy this boundary condition, we can make an analogy with what we ve learned in Electromagnetics, which means that we need a Imaginary source that absorbs heat at the mirror point of the original heat source.

2.1 Green's Function -q -Q U= x T= x E Heat Flow q Q The equilibrium function of U and T are all Laplace s Equation. To satisfy T= at =, what we need is to make the final solution of the Green s Function to be G(- -G(+ (since the upper source is negative.

2.2 Solution to the Green s Function 2 2 G ( G G ( x x ( ( t t 2 2 t x Take a Fourier Transform to Green s Function. G 2 2 2 2 i ( kxxk 4 ( k x k G+e ( t t t Apply the formula for the solution of First Order ODE. For y' P( x y Q( x, the solution will be: So, G x x y e Q( x e dx t t 2 2 2 2 2 2 x x t 2 i( kxx k t 4 ( k k dt 4 ( k k dt e e ( t t e dt e x P( t dt P( t dt 2 2 2 kx k t t i kxx k e 4 ( ( 2 ( x

2.2 Solution to the Green s Function Take a Inverse Fourier Transform to the solution. 2 2 2 4 ( kx k ( tt 2 i( kxx k 2 i( kxxk G e e e dkxdk 1 2 4 ( t t i( xx i( [2 ( tt k ] [2 ( tt k ] e 2 2 x 4 ( tt 4 ( tt 2 2 ( xx ( 4 ( tt e d(2 ( t t k d(2 ( t t x k 1 4 ( t t e 2 2 ( xx ( 4 ( tt Finally, 2 2 2 2 ( xx ( ( xx ( 4 ( tt 4 ( tt ( 1 G e e 4 ( t t

2.3 Solution to Temperature Evolution The Initial Condition of T is T '( x,, t (1 H( x Tm TmH ( x erf ( 2 t The Temperature will be the Convolution of T and G T ( x,, t T '( I. C.* G T '( x,, t G( x x,, t t dx d ( TmGdx Tmerf ( Gdx d 2 t x x 1, 2, 3 4 ( t t 4 ( t t 4 ( t t

2.3 Solution to Temperature Evolution 2 2 ( xx ( 2 2 ( xx ( ( 4 ( tt 4 ( tt 1 T Gdx d T e e dx d m m 4 ( t t T m 4 T 4 T 4 m m 2 ( 2 ( erfc( x 2 4 ( tt 4 ( tt x 2 4 ( tt 4 ( tt 2 2 1 2 e e d d 2 1 2 3 1 2 e e d d x erfc( 4 ( t t 4 ( t t Tm x erfc( erfc( 4 4 ( t t 4 ( t t Tm x erfc( erf ( 2 4 ( t t 4 ( t t 1 3 Solution to the first part

2.3 Solution to Temperature Evolution T erf ( Gdx d m 2 t 2 2 ( ( x 2 1 4 ( tt 4 ( tt ( ( ( Tm erfc 4 e e erf d 4 ( t t 4 ( t t 2 t Consider the first part: erf ( * G 2 t 2 1 1 = F F erf G 2 ( 4 ( tt e erf ( d 4 ( t t 2 t [ ( ( ] 2 t Fourier Transform just come to my mind

2.3 Solution to Temperature Evolution 1 1 2 F F F 2 t 2ik 2 t 2ik 2 ( erf ( ( erf '( ( ( 2 t e d / 1 1 1 1 F ( 2ik t 2ik t 2 2 ( ( 2 t 2 t 2ik e e e d 1 2 t 2 ik t 2 t 1 2 2 4 tk e i k 1 erf G e e 2 t i k 2 2 2 ( 2 i tk 4 tk 2 t e d i t k 2 2 2 2 tk t t k 1 4 4 ( ( * F [ ] F 1 i k 2 2 tk 1 4 [ e ] erf ( 2 t ( 2

2.3 Solution to Temperature Evolution Source Imginary Source 2 tt ( 4 ( 2 1 e erf ( d erf ( 4 ( t t 2 t 2 t 2 tt ( 4 ( 2 1 e erf ( d erf ( 4 ( t t 2 t 2 t T erf ( Gdx d m 2 t 2 2 ( ( x 2 1 4 ( tt 4 ( tt ( ( ( Tm erfc e e erf d 4 4 ( t t 4 ( t t 2 t Tm x erfc( erf ( 2 4 ( t t 2 t Solution to the second part

2.3 Solution to Temperature Evolution T ( x,, t ( T Gdx T erf ( Gdx d m m 2 t Tm x [ erfc( erf ( 2 4 ( t t 4 ( t t x erfc( erf ( ] 4 ( t t 2 t

3.1 Bathymetry: Solution of Model Topography 2D model for Ocean Floor Topography by Isostasy. (P175 w 2 ( T T t m v m m w 1/2 3D model for Ocean Floor Topography by Isostasy: Plug Temperature to the model and do the Integral on P175 1/2 m vtm t x t x ( t t w erfc( erfc( m w 2 t 2 t Arbitrarily defination: v m 5 1 6 2 1 3 1 K, 1 m s, Tm 13 K, kg m kg m t Myr 3 3 33, w 1, 2

3.2 Model Temperature and Topography t, t 2 Myr, Temperature

3.2 Model Temperature and Topography t 1 Myr, t 2 Myr, Temperature

3.2 Model Temperature and Topography t 5 Myr, t 2 Myr, Temperature

3.2 the Model Temperature and Topography t 1 Myr, t 2 Myr, Temperature

3.2 Model Temperature and Topography t 2 Myr, t 2 Myr, Temperature

3.2 Model Temperature and Topography t 3 Myr, t 2 Myr, Temperature

3.2 Model Temperature and Topography t, t 2 Myr, Topography

3.2 Model Temperature and Topography t 1 Myr, t 2 Myr, Topography

3.2 Model Temperature and Topography t 5 Myr, t 2 Myr, Topography

3.2 Model Temperature and Topography t 1 Myr, t 2 Myr, Topography

3.2 Model Temperature and Topography t 2 Myr, t 2 Myr, Topography

3.2 Model Temperature and Topography t 3 Myr, t 2 Myr, Topography

3.3 Comparison with real Topography

3.3 Comparison with real Topography t 5 Myr, t 28 Myr, Topography Model Reality Long:129W Lat:36-42N Data all set as in the paper

3.3 Comparison with real Topography t 15 Myr, t 28 Myr, Topography Model Reality Long:133W Lat:36-42N

3.3 Comparison with real Topography t 25 Myr, t 28 Myr, Topography Model Reality Long:137W Lat:36-42N

3.3 Comparison with real Topography t 35 Myr, t 28 Myr, Topography Model Reality Long:141W Lat:36-42N

3.3 Comparison with real Topography t 45 Myr, t 28 Myr, Topography Model Reality Long:144W Lat:36-42N

4 Conclusions and Discussion (1.It works well for this model on Difference, but not quite well on actually depth of the topography. Top of the ridge? Sediments? (2.The model is smoothed but real topography is uneven and have many spikes on it. The model of Isostasy is too ideal. Neglected factors? Solution in the paper based on elastic model can explain the spikes to some extent. (3.About the initial condition. ERF function?

Thank You for Your Attention!