Conversion of Non-Linear Strength Envelopes into Generalized Hoek-Brown Envelopes



Similar documents
APPENDIX III THE ENVELOPE PROPERTY

Numerical Methods with MS Excel

ANOVA Notes Page 1. Analysis of Variance for a One-Way Classification of Data

Data Analysis Toolkit #10: Simple linear regression Page 1

Simple Linear Regression

The Gompertz-Makeham distribution. Fredrik Norström. Supervisor: Yuri Belyaev

3.6. Metal-Semiconductor Field Effect Transistor (MESFETs)

Optimal multi-degree reduction of Bézier curves with constraints of endpoints continuity

Optimal replacement and overhaul decisions with imperfect maintenance and warranty contracts

Chapter Eight. f : R R

Basic statistics formulas

CH. V ME256 STATICS Center of Gravity, Centroid, and Moment of Inertia CENTER OF GRAVITY AND CENTROID

Load and Resistance Factor Design (LRFD)

6.7 Network analysis Introduction. References - Network analysis. Topological analysis

IDENTIFICATION OF THE DYNAMICS OF THE GOOGLE S RANKING ALGORITHM. A. Khaki Sedigh, Mehdi Roudaki

ON SLANT HELICES AND GENERAL HELICES IN EUCLIDEAN n -SPACE. Yusuf YAYLI 1, Evren ZIPLAR 2. yayli@science.ankara.edu.tr. evrenziplar@yahoo.

STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ " 1

SHAPIRO-WILK TEST FOR NORMALITY WITH KNOWN MEAN

Chapter = 3000 ( ( 1 ) Present Value of an Annuity. Section 4 Present Value of an Annuity; Amortization

A general sectional volume equation for classical geometries of tree stem

ADAPTATION OF SHAPIRO-WILK TEST TO THE CASE OF KNOWN MEAN

Average Price Ratios

Constrained Cubic Spline Interpolation for Chemical Engineering Applications

1. The Time Value of Money

Analysis of one-dimensional consolidation of soft soils with non-darcian flow caused by non-newtonian liquid

Curve Fitting and Solution of Equation

Performance Attribution. Methodology Overview

Report 52 Fixed Maturity EUR Industrial Bond Funds

Preprocess a planar map S. Given a query point p, report the face of S containing p. Goal: O(n)-size data structure that enables O(log n) query time.

n. We know that the sum of squares of p independent standard normal variables has a chi square distribution with p degrees of freedom.

The simple linear Regression Model

T = 1/freq, T = 2/freq, T = i/freq, T = n (number of cash flows = freq n) are :

OPTIMAL KNOWLEDGE FLOW ON THE INTERNET

CHAPTER 2. Time Value of Money 6-1

Statistical Pattern Recognition (CE-725) Department of Computer Engineering Sharif University of Technology

Credibility Premium Calculation in Motor Third-Party Liability Insurance

Fractal-Structured Karatsuba`s Algorithm for Binary Field Multiplication: FK

ANALYTICAL MODEL FOR TCP FILE TRANSFERS OVER UMTS. Janne Peisa Ericsson Research Jorvas, Finland. Michael Meyer Ericsson Research, Germany

DECISION MAKING WITH THE OWA OPERATOR IN SPORT MANAGEMENT

Banking (Early Repayment of Housing Loans) Order,

Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.

A Hybrid Data-Model Fusion Approach to Calibrate a Flush Air Data Sensing System

The analysis of annuities relies on the formula for geometric sums: r k = rn+1 1 r 1. (2.1) k=0

Chapter 3. AMORTIZATION OF LOAN. SINKING FUNDS R =

A New Bayesian Network Method for Computing Bottom Event's Structural Importance Degree using Jointree

Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems

On Error Detection with Block Codes

ECONOMIC CHOICE OF OPTIMUM FEEDER CABLE CONSIDERING RISK ANALYSIS. University of Brasilia (UnB) and The Brazilian Regulatory Agency (ANEEL), Brazil

10.5 Future Value and Present Value of a General Annuity Due

Supply Chain Management Chapter 5: Application of ILP. Unified optimization methodology. Beun de Haas

Confidence Intervals for Linear Regression Slope

M. Salahi, F. Mehrdoust, F. Piri. CVaR Robust Mean-CVaR Portfolio Optimization

Speeding up k-means Clustering by Bootstrap Averaging

Measuring the Quality of Credit Scoring Models

In the UC problem, we went a step further in assuming we could even remove a unit at any time if that would lower cost.

Relaxation Methods for Iterative Solution to Linear Systems of Equations

Vibration and Speedy Transportation

Report 05 Global Fixed Income

THE EQUILIBRIUM MODELS IN OLIGOPOLY ELECTRICITY MARKET

Swarm Based Truck-Shovel Dispatching System in Open Pit Mine Operations

On formula to compute primes and the n th prime

Abraham Zaks. Technion I.I.T. Haifa ISRAEL. and. University of Haifa, Haifa ISRAEL. Abstract

Fundamentals of Mass Transfer

A Parallel Transmission Remote Backup System

Security Analysis of RAPP: An RFID Authentication Protocol based on Permutation

Statistical Decision Theory: Concepts, Methods and Applications. (Special topics in Probabilistic Graphical Models)

FINANCIAL MATHEMATICS 12 MARCH 2014

Design of Experiments

Borehole breakout and drilling-induced fracture analysis from image logs

MDM 4U PRACTICE EXAMINATION

Three Dimensional Interpolation of Video Signals

Mathematics of Finance

INF 4300 Digital Image Analysis REPETITION

GRADUATION PROJECT REPORT

Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases

Sequences and Series

where p is the centroid of the neighbors of p. Consider the eigenvector problem

Regression Analysis. 1. Introduction

Session 4: Descriptive statistics and exporting Stata results

Finite Difference Method

Bayesian Network Representation

Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center

A particle Swarm Optimization-based Framework for Agile Software Effort Estimation

Integrating Production Scheduling and Maintenance: Practical Implications

Reinsurance and the distribution of term insurance claims

Settlement Prediction by Spatial-temporal Random Process

Transcription:

Covero of No-Lear Stregth Evelope to Geeralzed Hoek-Brow Evelope Itroducto The power curve crtero commoly ued lmt-equlbrum lope tablty aaly to defe a o-lear tregth evelope (relatohp betwee hear tre, τ, ad ormal tre, ) for ol. I the Rocece lope tablty program Slde the crtero ha the form: τ b = a( + d) + c+ ta( θ w), () where a, b ad c are parameter typcally obtaed from a leat-quare regreo ft of data obtaed from mall-cale hear tet. The d parameter repreet the tele tregth of a materal, whle θ w kow a the wave agle. Aother popular tregth model ued lope tablty aaly the hear /ormal fucto. It cot of par of hear ad ormal tre value that defe arbtrary, o-lear hear/ormal tregth evelope for materal. Becaue o flow rule have bee derved or defed for the power curve ad hear/ormal fucto crtera, t curretly mpoble to ue them elato-platc fte elemet aaly. A a reult, whe uch a tregth model ext a Slde fle that mported to Phae 2, t coverted to a equvalet Geeralzed Hoek-Brow model. The Geeralzed Hoek-Brow crtero the mot wdely ued model for characterzg the tregth of rock mae, ad ha a well-defed platc flow rule. The ext ecto wll preet the equato of the Geeralzed Hoek-Brow crtero, ad wll outle the procedure for determg a Geeralzed Hoek-Brow crtero equvalet to a power curve or hear/ormal tregth model. The Geeralzed Hoek-Brow tregth crtero The o-lear Geeralzed Hoek-Brow crtero [] for rock mae defe materal tregth term of major ad mor prpal tree a: a = + m b + where the uaxal compreve tregth of the tact rock materal, whle GSI 00 = mexp 28 4 D, GSI 00 = exp 9 D, ad ( GSI /5 20/ a e e ) = +. 2 6 (2)

m a tact rock materal property, GSI kow a the geologcal tregth dex, whle D termed the dturbace factor []. Ug relatohp developed by Balmer [, 2], a hear-ormal tre evelope equvalet to the Geeralzed Hoek-Brow prpal tre evelope ca be determed. The hear tre (τ ) ad ormal tre ( ) par correpodg to a pot o a prpal tre evelope ca be determed from the equato τ = d d d + d d ( ) ( ) 2 2 d + d = + d (). (4) For the Geeralzed Hoek-Brow crtero, the followg equato relate ad τ to ad : τ = + am b + a a 2 + am b + (5) a a + a = + 2 2 2 + am b + (6) For a gve et of Geeralzed Hoek-Brow parameter ad a pefed value, ca be determed from Equato (5) through replacemet of wth the defto of the crtero (Equato ()).

Etmatg the parameter of a Geeralzed Hoek-Brow evelope equvalet to a Power Curve power GHB Fgure 2 how a power curve evelope, τ, ad a ew Geeralzed Hoek-Brow, τ, that approxmate the power curve. Both evelope are draw hear-ormal pace. For ay gve value, the quare of the error betwee the reduced ad approxmated evelope defed by the equato: 2 power GHB 2 ε = τ τ. (7) 0.8 0.6 Orgal power hear evelope 0.4 0.2 0. 0.08 Approxmate GHB hear evelope 0.06 Dfferece (error) betwee the curve 0.04 0.02 t max 0-0.05 0.05 0.5 0.25 0.5 0.45 Fgure 2. Approxmato of a power curve wth a equvalet Geeralzed Hoek-Brow evelope hear-ormal pace. Notce the rego of error or dfferece betwee the two curve. The total error of the ft of fucto: GHB τ to power τ ca be obtaed through tegrato of the quared error

max t 2 Total error = (8) ε d over the rage t (the tele tregth) to a maxmum ormal tre value, max. Becaue the quared error fucto doe ot expltly relate to τ, the tegrato bet performed ug a umercal approach uch a gaua quadrature. The parameter of the bet-ft Geeralzed Hoek-Brow evelope to the power curve tregth evelope ca be obtaed through mmzato of the total quared error. Phae 2 doe th mmzato the Smplex techque, whch doe ot requre dervatve of the fucto beg mmzed. Procedure for computg equvalet Geeralzed Hoek-Brow parameter To reduce the uer of parameter to be determed, the curve-fttg procedure aume the dturbace parameter D = 0, ad etmate bet-ft value for the three parameter, m ad GSI. Th becaue, a ee from the equato that defe the Geeralzed Hoek-Brow crtero, the parameter,, ad a ca be calculated ug m ad GSI. Aumg D = 0 mplfe calculato ubtatally wth practcally o pealty to the accuracy of the curvefttg procedure. The tep for etmatg the Geeralzed Hoek-Brow parameter equvalet to a power curve evelope are the a follow: () Etablh the rage of mor prpal tree actg a lope. Sce the mmum tre take to be the tele tregth, t, t oly eceary to determe the maxmum value the lope. () Determe the correpodg value of ormal tre, max, ug Equato (5). () Mmze the quared error fucto over the rage [ t, max] ug a techque uch a the Smplex method. (The tegrato the quared error fucto performed ug the umercal gaua quadrature method.) The varable of the fucto are, m ad GSI. D aumed to have a fxed value of zero. (v) Ue m ad GSI to calculate the parameter m,, ad a. b

Determato of equvalet Geeralzed Hoek-Brow curve for Shear- Normal fucto The procedure for determg a Geeralzed Hoek-Brow curve that bet ft a hear-ormal fucto very mlar to thoe decrbed above for the power curve model. The prmary dfferece le the quared error fucto. Sce the hear-ormal fucto defed by a dcrete uer m of data pot, the quared error fucto tead of havg a tegral ue the ummato: m = 2, Total error = ε. (9) REFERENCES. Hoek E., C. Carraza-Torre, ad B. Corkum. 2002. Hoek-Brow crtero 2002 edto. I Proceedg of the 5th North Amerca Rock Mechac Sympoum ad the 7th Tuellg Aoato of Caada: NARMS-TAC 2002, Toroto, Caada, ed. R.E. Hammah et al, Vol., pp. 267-27. 2. Balmer G. 952. A geeral aalytcal oluto for Mohr evelope. Amerca Soety for Tetg ad Materal, vol. 52, pp. 260-27.