Statistical Analysis of Loads

Slides:



Advertisements
Similar presentations
Sections 7-1 and 7-2 Review and Preview and Estimating a Population Proportion.
Advertisements

COUNTING AND PROBABILITY
Hydrologic Statistics
Structural Reliability Theory
Visual Recognition Tutorial
Design of Engineering Experiments - Experiments with Random Factors
Chapter 5 Basic Probability Distributions
Probability Densities
Motion in Two Dimensions
Discrete Random Variables and Probability Distributions
Discrete Event Simulation How to generate RV according to a specified distribution? geometric Poisson etc. Example of a DEVS: repair problem.
Probability Distributions
Chapter 11 Multiple Regression.
Chapter 2 Simple Comparative Experiments
7-2 Estimating a Population Proportion
Chapter 15 Oscillatory Motion.
Chapter 5 Several Discrete Distributions General Objectives: Discrete random variables are used in many practical applications. These random variables.
Nonparametric or Distribution-free Tests
Regression Analysis Regression analysis is a statistical technique that is very useful for exploring the relationships between two or more variables (one.
Correlation and Linear Regression
Component Reliability Analysis
Review of Statistical Inference Prepared by Vera Tabakova, East Carolina University ECON 4550 Econometrics Memorial University of Newfoundland.
Introduction to Statistical Inferences
Slide 1 Copyright © 2004 Pearson Education, Inc..
CORRELATION & REGRESSION
Chapter 5 Discrete Random Variables and Probability Distributions ©
6.2 – Binomial Probabilities You are at your ACT test, you have 3 problems left to do in 5 seconds. You decide to guess on all three, since you don't have.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Review and Preview This chapter combines the methods of descriptive statistics presented in.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Chapter 7 Estimates and Sample Sizes
Random Sampling, Point Estimation and Maximum Likelihood.
Chapter 8 Probability Section R Review. 2 Barnett/Ziegler/Byleen Finite Mathematics 12e Review for Chapter 8 Important Terms, Symbols, Concepts  8.1.
1 Sampling Distributions Lecture 9. 2 Background  We want to learn about the feature of a population (parameter)  In many situations, it is impossible.
Discrete Mathematical Structures (Counting Principles)
Introduction Random Process. Where do we start from? Undergraduate Graduate Probability course Our main course Review and Additional course If we have.
Basic Probability (Chapter 2, W.J.Decoursey, 2003) Objectives: -Define probability and its relationship to relative frequency of an event. -Learn the basic.
Statistics for Managers Using Microsoft Excel, 5e © 2008 Pearson Prentice-Hall, Inc.Chap 8-1 Statistics for Managers Using Microsoft® Excel 5th Edition.
Chapter 4 System Reliability Analysis of Structures.
McGraw-Hill/IrwinCopyright © 2009 by The McGraw-Hill Companies, Inc. All Rights Reserved. Chapter 5 Discrete Random Variables.
Chapter 7 Sampling and Sampling Distributions ©. Simple Random Sample simple random sample Suppose that we want to select a sample of n objects from a.
1 Chapter 6 Estimates and Sample Sizes 6-1 Estimating a Population Mean: Large Samples / σ Known 6-2 Estimating a Population Mean: Small Samples / σ Unknown.
DOX 6E Montgomery1 Design of Engineering Experiments Part 9 – Experiments with Random Factors Text reference, Chapter 13, Pg. 484 Previous chapters have.
Sections 7-1 and 7-2 Review and Preview and Estimating a Population Proportion.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 7-1 Review and Preview.
Reliability-Based Design Methods of Structures
Exam 2: Rules Section 2.1 Bring a cheat sheet. One page 2 sides. Bring a calculator. Bring your book to use the tables in the back.
1 7.3 RANDOM VARIABLES When the variables in question are quantitative, they are known as random variables. A random variable, X, is a quantitative variable.
Chapter 7 Estimates and Sample Sizes 7-1 Overview 7-2 Estimating a Population Proportion 7-3 Estimating a Population Mean: σ Known 7-4 Estimating a Population.
+ Chapter 5 Overview 5.1 Introducing Probability 5.2 Combining Events 5.3 Conditional Probability 5.4 Counting Methods 1.
Surveying II. Lecture 1.. Types of errors There are several types of error that can occur, with different characteristics. Mistakes Such as miscounting.
1 ES Chapters 14 & 16: Introduction to Statistical Inferences E n  z  
Limit state design method
Warsaw Summer School 2014, OSU Study Abroad Program Sampling Distribution.
Statistics 350 Lecture 2. Today Last Day: Section Today: Section 1.6 Homework #1: Chapter 1 Problems (page 33-38): 2, 5, 6, 7, 22, 26, 33, 34,
SENG521 (Fall SENG 521 Software Reliability & Testing Preparing for Test (Part 6a) Department of Electrical & Computer Engineering,
Chapter5 Statistical and probabilistic concepts, Implementation to Insurance Subjects of the Unit 1.Counting 2.Probability concepts 3.Random Variables.
Unit 3: Probability.  You will need to be able to describe how you will perform a simulation  Create a correspondence between random numbers and outcomes.
Modeling and Simulation CS 313
Binomial and Geometric Random Variables
Modeling and Simulation CS 313
Ch9 Random Function Models (II)
Chapter 3 Component Reliability Analysis of Structures.
9 Tests of Hypotheses for a Single Sample CHAPTER OUTLINE
Random Variables Binomial Distributions
Sampling Distributions
Lecture Slides Elementary Statistics Twelfth Edition
Estimating a Population Mean:  Known
Propagation of Error Berlin Chen
Discrete Random Variables and Probability Distributions
Propagation of Error Berlin Chen
Presentation transcript:

Statistical Analysis of Loads Chapter 5 Statistical Analysis of Loads

Chapter 5: Statistical Analysis of Loads Contents 5.1 Loads and Actions 5.2 Probability Models of Loads 5.3 Statistical Analysis of Loads 5.4 Representative Values of Loads 5.5 Combination of Load Effects

Chapter 5 Statistical Analysis of Loads 5.1 Loads and Actions

5.1.1 Definitions of Loads and Actions An action is: An assembly of concentrated or distributed mechanical forces acting on a structure (direct actions), or The cause of deformations imposed on the structure or constrained in it (indirect actions) Action Direct Action — Load Indirect Action 5.1.2 Types of Actions 1. Classification according to the variation of their magnitude with time Permanent action, which is likely to act continuously throughout a given reference period and for which variations in magnitude with time are small compared with the mean value.

5.1 Loads and Actions …2 Variable action, for which the variation in magnitude with time is neither negligible in relation to the mean value nor monotonic. Accidental action, which is unlikely to occur with a significant value on a given structure over a given reference period. 2. Classification according to their variation with space Fixed action, which has a fixed distribution on a structure; Free action, which may have an arbitrary spatial distribution over the structure within given limits. 3. Classification according to the structural response Static action, i.e. not causing significant acceleration of the structural or structural elements; Dynamic action, i.e. causing significant acceleration of the structural or structural elements.

Chapter 5 Statistical Analysis of Loads 5.2 Probabilistic Models of Loads

5.2 Probability Models of Loads …1 5.2.1 Stochastic Process Model of Loads Actually, loads are random variables varying with time in the design reference period i.e. loads are random process. In general, loads are treated as stationary binomial random process. Assumptions of Stationary Binomial Random Process (1) The design reference period is divided into r equal intervals (2) In each interval, the probability of the load Q occurring is p, while the probability of not occurring is . (3) In each interval, when the load Q occurs, its magnitude is a non- negative random variable, and its probability distributions during different intervals are identical. Let the probability distribution of the load Q in interval be denoted by

5.2 Probability Models of Loads …2 The function is called an arbitrary point-in-time probability distribution of the load Q. (4) The magnitudes of the load during different intervals are independent random variables, and they are also independent of the event that the load occurs in these intervals . Features of Stationary Binomial Random Process (1) The parameters of the stationary binomial random process are: The parameters and are determined by statistical surveys or experiential judgments. The distribution type of should be validated by K-S test.

5.2 Probability Models of Loads …3 (2) The sample function of can be represented by a rectangle wave function with equal intervals.

5.2 Probability Models of Loads …4 5.2.2 Random Variable Model of Loads 1. Principle of Transformation Random Process Load Model Random Variable Load Model The load Q is represented by the maximum value of the random process load during the design reference period . Obviously, the value is a random variable. 2. The Probability distribution of represents the mean times of occurring in the design reference period T .

5.2 Probability Models of Loads …5 3. being normal distribution

5.2 Probability Models of Loads …6 4. being Extreme Ⅰ distribution

Chapter 5 Statistical Analysis of Loads

5.3 Statistical Analysis of Loads …1 5.3.1 Statistical Analysis of Permanent Load

5.3 Statistical Analysis of Loads …2 5.3.2 Statistical Analysis of Variant Loads 1. Sustained Live Load

5.3 Statistical Analysis of Loads …3 2. Transient Live Load

5.3 Statistical Analysis of Loads …4 5.3.3 Statistical Analysis of Environmental Loads 1. Wind Load Don’t consider wind direction Consider wind direction

5.3 Statistical Analysis of Loads …5 2. Snow Load

Chapter 5 Statistical Analysis of Loads 5.4 Representative Values of Loads

5.4 Representative Values of Loads …1 5.4.1 Representative Value v.s. Design Value of a Load 1. Representative Value of a Load The representative value of a load is a value used for the verification of a limit state. Representative values generally consist of characteristic values, frequent values, quasi-permanent values, combination values. 2. Design Value of a Load Design value of a load is a value obtained by multiplying the representative value by the partial factor .

5.4 Representative Values of Loads …2 5.4.2 Characteristic Value 1. Definition The characteristic value of a load is the maximum value of the load that acts on the structure during the design reference period. It is the principal representative value when designing structures. The other representative values are obtained by conversion of the characteristic value. It is used in both ultimate limit state verification and serviceability limit state verification It is chosen either on a statistical basis, so that it can be considered to have a special probability of not being exceeded towards unfavorable values during the design reference period; or on acquired experience; or on physical constraints.

5.4 Representative Values of Loads …3 2. Methods (1) Determined by the return period of a load where, is called ( mean ) return period. where, is called yearly exceedance probability.

5.4 Representative Values of Loads …4 2. Methods … (2) Determined by the percentile of where, is the probability of not being exceeded during the reference period, it is also called “guarantee probability”.

5.4 Representative Values of Loads …5 Example 5.1 Please refer to the textbook “Structural Reliability” by Professor Ou & Duan. Turn to Page 15, look at the example 1.3 carefully!

5.4 Representative Values of Loads …6 5.4.3 Frequent Value 1. Definition The frequent value of a load is the frequent occurring load that acts on the structure during the design reference period. It is the representative value of variable loads when checking the serviceability limit state by the frequent (short term) load effect combination rule. 2. Method

5.4 Representative Values of Loads …7 5.4.4 Quasi-permanent Value 1. Definition The quasi-permanent value of a load is the often occurring load that acts on the structure during the design reference period. It is the representative value of variable loads when checking the serviceability limit state by the combination rules of quasi-permanent value combination and frequent value combination. 2. Method

5.4 Representative Values of Loads …8 5.4.5 Combination Value 1. Definition When two or more loads act on the structure during the design reference period, the maximum values of these loads cannot occur simultaneously, then the representative values of loads can be taken as its combination values . It is chosen so that the probability that the load effect values caused by the combination will be exceeded is approximately the same as when a single load is considered. 2. Method

Chapter 5 Statistical Analysis of Loads 5.5 Combination of Load Effects

5.5 Combination of Load Effects …1 5.5.1 Basic Concepts The total load Q is a sum of individual load components such as dead load, live load, wind load, snow load, seismic actions, etc. They all vary with time. When only one kind of the time-dependent loads acts on the structure, its maximum value during the reference period is then used in structural design. When two or more time-dependent loads act on the structure, their maximum values during the reference period cannot occur simultaneously. Therefore, the load effect combination problem should be considered.

5.5 Combination of Load Effects …2 It is generally assumed that the load effect is linearly related to the load: where, is called load effect coefficient. Therefore, the load combination problem is consistent with the load effect combination problem. The essential point of the load combination problem is to find the probability characteristics of the maximum value of the total load effects :

5.5 Combination of Load Effects …3 5.5.2 JCSS’s Rule for Load Effect Combination For each load , the design reference period T is divided into equal intervals . all loads are reordered from small to large according to the values of , and let the take integer value. For an arbitrary load , its maximum load effect during the design reference period is combined with other load effects . For the load whose numbers of intervals is larger than , the local maximum value during the preceding load interval is taken in the order, and other load effects take their transient values.

5.5 Combination of Load Effects …4 JCSS’s Rule Formula for Load Effect Combination

5.5 Combination of Load Effects …5 Example 5.2 Assume that there are three loads, the interval numbers of each load are: Give the load effect combination formula of the three loads. Solution: Assume that the design reference period Rank the load according to . This has been done. The intervals of each load are: The load effect combination results are:

5.5 Combination of Load Effects …6 Example 5.3 The loads acting on the a office building structures generally include: dead load sustained live load transient live load wind load The design reference period is . The intervals of these loads are as follows: Give the load effect combination formula according to JCSS’s Rule.

5.5 Combination of Load Effects …7 Solution: (1) Solve the interval numbers of loads: (2) Rank the load effects : (3) Combine the load effects :

5.5 Combination of Load Effects …8 5.5.3 Turkstra’s Rule for Load Effect Combination If a load take its maximum load effect during the design reference period, then the other (n-1) loads take their transient values.

5.5 Combination of Load Effects …10 Example 5.4 Please refer to the textbook “Reliability of Structures” by Professor A. S. Nowak. Turn to Page 170, look at the example 6.3 carefully!

5.5 Combination of Load Effects …9 5.5.4 Simple Rule for Load Effect Combination The dead load is only combined with the maximum value of a variant load . Example 5.5 For the problem in example 5.2, the simple rule leads to : (1) The dead load is combined with a live load: (2) The dead load is combined with wind load:

Homework 5 5.1 Solve the problem 6.1 in text book on P.179 . Chapter 5: Homework 5 Homework 5 5.1 Solve the problem 6.1 in text book on P.179 . 5.2 Solve the problem 6.2 in text book on P.179 .

End of Chapter 5