Soil Parameter Estimation: Dynamic System Modeling and Optimization, Study notes of Chemistry

A final presentation for ce291f on the estimation of soil parameters using dynamic system modeling and optimization. The presentation covers objectives, system modeling, identification, approach, cost function, optimization using the adjoint method, and numerical modeling. The study focuses on a bay mud site with a vertical array system and identifies shear modulus and visco-damping coefficient.

Typology: Study notes

Pre 2010

Uploaded on 09/07/2009

koofers-user-ohw
koofers-user-ohw 🇺🇸

5

(1)

10 documents

1 / 6

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
8/20/2007
1
Pa amete Estimation of Soil
Pa
r
amete
r
Estimation
of
Soil
Dynamic System
CE291F Final Presentation
Min Chen
Min
Chen
05/02/07
Objectives
Dynamic Soil
0 m
D
y
namic
Soil
Properties
Vertical Array
Instrumentation
System
Fill
Holocene
Bay Mud
d
7 m
16 m
31 m
44 m
e
ne
System
Identification
Treasure Island Array, CA
Bay Mu
d
Bed
Rock
44
m
122 m
Pleistoc
e
pf3
pf4
pf5

Partial preview of the text

Download Soil Parameter Estimation: Dynamic System Modeling and Optimization and more Study notes Chemistry in PDF only on Docsity!

Pa ameteParameter Estimation of Soil Estimation of Soil

Dynamic System

CE291F Final Presentation

Min ChenMin Chen

Objectives

Dynamic Soil

0 m

Dynamic Soil

Properties

Vertical Array

Instrumentation

System

Fill

HoloceneBay Mud

d

7 m

16 m

31 m

44 m ene

System

Identification

Treasure Island Array, CA

Bay Mud

BedRock

44 m

122 m

Pleistoce

System Modeling

∂ ( x t ) ∂⎡ ∂ ( xt )⎤ ∂⎡ ∂ ( xt ) ⎤

2 2 μ μ μ

1D Visco-elastic shear-wave Propagation Equation

Boundary Conditions:

x t

xt x x x

xt gx t x

xt x

2

μ η

μ μ ρ

uLt uphole series

u t downhole series

( ,) _

( 0 ,) _

ux

(1)

(2a)

(2b)

(3a) 0

t

u x Initial Conditions: u x

Estimate

g Shear Modulus

Visco-Damping Coefficient

(3b)

Approach

PDE (g, η)

Input Output^ Measurements

J [ u x t u x t ] dtdx

X T

obs ∫ ∫ = −

2 ( , ) ( , ) 2

1 Cost Function: min :

Subject to: PDE (1), B.C(2a,2b), I.C (3a,3b)

Adj i M h d

Find the ∇ J

True value (g, η)

Optimization

Adjoint Method

Numerical Modeling

Forward Modeling

Assign a known distribution

to g(x)to g(x), ηη(x)(x)

Input downhole series,

predict the uphole

response

Inverse Modeling

Give uphole-downholeGive uphole downhole

series, compute the

parameters

Vertical Array Data

Lotung SiteLotung Site

Preliminary Result 1

Forward

ModelingModeling

Preliminary Results 2

InverseInverse

Modeling