Uncertainty modelling using software FReET

Similar documents
Stochastická nelineárn. rní analýza betonových konstrukcí: : spolehlivost, vliv velikosti, inverzní analýza

Veveri 331/95, Brno, Czech Republic

INVERSE RELIABILITY ANALYSIS IN STRUCTURAL DESIGN

Determination of statistical material parameters of concrete using fracture test and inverse analysis based on FraMePID-3PB tool

Statistical Analysis of Stresses in Rigid Pavement

Abstract. 1 Introduction

RELIABLITY OF CURVED TIMBER BEAM EXPOSED TO FIRE

Simulation of random fields for stochastic finite element analysis

However, reliability analysis is not limited to calculation of the probability of failure.

SHEAR RESISTANCE BETWEEN CONCRETE-CONCRETE SURFACES

Nonlocal model for size effect in quasibrittle failure based on extreme value statistics

Probability of failure estimation of current reinforced structures using the Latin Hypercube Sampling

University of Sheffield The development of finite elements for 3D structural analysis in fire

Optimization as a tool for the inverse identification of parameters of nonlinear material models

Entrance exam Master Course

Reliability Analysis of a Tunnel Design with RELY

MEZNÍ STAVY TRVANLIVOSTI MODELOVÁNÍ A ROZMĚR ČASU

Discrete Element Modelling of a Reinforced Concrete Structure

CALCULATION OF A SHEET PILE WALL RELIABILITY INDEX IN ULTIMATE AND SERVICEABILITY LIMIT STATES

Análisis Computacional del Comportamiento de Falla de Hormigón Reforzado con Fibras Metálicas

NUMERICAL SIMULATIONS OF CORNERS IN RC FRAMES USING STRUT-AND-TIE METHOD AND CDP MODEL

UNIVERSITY OF SASKATCHEWAN ME MECHANICS OF MATERIALS I FINAL EXAM DECEMBER 13, 2008 Professor A. Dolovich

VORONOI APPLIED ELEMENT METHOD FOR STRUCTURAL ANALYSIS: THEORY AND APPLICATION FOR LINEAR AND NON-LINEAR MATERIALS

SENSITIVITY ANALYSIS OF LATERAL BUCKLING STABILITY PROBLEMS OF HOT-ROLLED STEEL BEAMS

Reliability analysis of slender reinforced concrete column using probabilistic SBRA method

Software Verification

Dynamic Analysis of a Reinforced Concrete Structure Using Plasticity and Interface Damage Models

Sensitivity and Reliability Analysis of Nonlinear Frame Structures

Parametric analysis and torsion design charts for axially restrained RC beams

S. Freitag, B. T. Cao, J. Ninić & G. Meschke

MODIFIED MONTE CARLO WITH LATIN HYPERCUBE METHOD

BE Semester- I ( ) Question Bank (MECHANICS OF SOLIDS)

Software Verification

Cracking in Quasi-Brittle Materials Using Isotropic Damage Mechanics

RELIABILITY ASSESSMENT OF EXISTING STRUCTURES

Interaction Diagram Dumbbell Concrete Shear Wall Unsymmetrical Boundary Elements

Stochastic fracture mechanics and size effect

EQUIVALENT FRACTURE ENERGY CONCEPT FOR DYNAMIC RESPONSE ANALYSIS OF PROTOTYPE RC GIRDERS

Energetic statistical size effect simulated by SFEM with stratified sampling and crack band model

NORMAL STRESS. The simplest form of stress is normal stress/direct stress, which is the stress perpendicular to the surface on which it acts.

Civil Engineering Design (1) Design of Reinforced Concrete Columns 2006/7

Stability Analysis of a Geometrically Imperfect Structure using a Random Field Model

DYNAMIC ANALYSIS OF PILES IN SAND BASED ON SOIL-PILE INTERACTION

Basic Energy Principles in Stiffness Analysis

Mechanics of Solids. Mechanics Of Solids. Suraj kr. Ray Department of Civil Engineering

Analysis of the horizontal bearing capacity of a single pile

INTRODUCTION TO STRAIN

Verification of a Micropile Foundation

D : SOLID MECHANICS. Q. 1 Q. 9 carry one mark each. Q.1 Find the force (in kn) in the member BH of the truss shown.

Stress Analysis Lecture 3 ME 276 Spring Dr./ Ahmed Mohamed Nagib Elmekawy

Chapter. Materials. 1.1 Notations Used in This Chapter

CHAPTER 4: BENDING OF BEAMS

Reliability of sheet pile walls and the influence of corrosion structural reliability analysis with finite elements

IDE 110 Mechanics of Materials Spring 2006 Final Examination FOR GRADING ONLY

Predicting Failure of Multiangle Composite Laminates

and F NAME: ME rd Sample Final Exam PROBLEM 1 (25 points) Prob. 1 questions are all or nothing. PROBLEM 1A. (5 points)

EDEM DISCRETIZATION (Phase II) Normal Direction Structure Idealization Tangential Direction Pore spring Contact spring SPRING TYPES Inner edge Inner d

6. NON-LINEAR PSEUDO-STATIC ANALYSIS OF ADOBE WALLS

Haulage Drift Stability Analysis- A Sensitivity Approach

Structural reliability analysis of rotor blades in ultimate loading

Using Probabilistic Analysis with Finite Element Modeling of High Temperature Geothermal Well Casings

CRACK FORMATION AND CRACK PROPAGATION INTO THE COMPRESSION ZONE ON REINFORCED CONCRETE BEAM STRUCTURES

Available online at ScienceDirect. Procedia Engineering 161 (2016 )

3D Finite Element analysis of stud anchors with large head and embedment depth

ε t increases from the compressioncontrolled Figure 9.15: Adjusted interaction diagram

Finite Element Modelling with Plastic Hinges

Prediction of Reliability Index and Probability of Failure for Reinforced Concrete Beam Subjected To Flexure

Simplified procedures for calculation of instantaneous and long-term deflections of reinforced concrete beams

MECE 3321 MECHANICS OF SOLIDS CHAPTER 3

Mechanical Engineering Ph.D. Preliminary Qualifying Examination Solid Mechanics February 25, 2002

Pre-stressed concrete = Pre-compression concrete Pre-compression stresses is applied at the place when tensile stress occur Concrete weak in tension

5 ADVANCED FRACTURE MODELS

Engineering Science OUTCOME 1 - TUTORIAL 4 COLUMNS

Approximation of complex nonlinear functions by means of neural networks

Chapter Objectives. Design a beam to resist both bendingand shear loads

PROCEDURE OF STATISTICAL SIZE EFFECT PREDICTION FOR CRACK INITIATION PROBLEMS

Experimentally Calibrating Cohesive Zone Models for Structural Automotive Adhesives

Microplane Model formulation ANSYS, Inc. All rights reserved. 1 ANSYS, Inc. Proprietary

Recent Developments in the Area of Probabilistic Design of Timer Structures Köhler, J.; Sørensen, John Dalsgaard

1. ARRANGEMENT. a. Frame A1-P3. L 1 = 20 m H = 5.23 m L 2 = 20 m H 1 = 8.29 m L 3 = 20 m H 2 = 8.29 m H 3 = 8.39 m. b. Frame P3-P6

Chapter 4-b Axially Loaded Members

The University of Melbourne Engineering Mechanics

PURE BENDING. If a simply supported beam carries two point loads of 10 kn as shown in the following figure, pure bending occurs at segment BC.

Design issues of thermal induced effects and temperature dependent material properties in Abaqus

Structural reliability analysis of deep excavations

ALGORITHM FOR NON-PROPORTIONAL LOADING IN SEQUENTIALLY LINEAR ANALYSIS

LOAD CARRYING BEHAVIOR OF PRESTRESSED BOLTED STEEL FLANGES CONSIDERING RANDOM GEOMETRICAL IMPERFECTIONS

Multi-scale approach of the mechanical behavior of RC structures Application to nuclear plant containment buildings

Practice Final Examination. Please initial the statement below to show that you have read it

CIVIL DEPARTMENT MECHANICS OF STRUCTURES- ASSIGNMENT NO 1. Brach: CE YEAR:

SPECIFIC VERIFICATION Chapter 5

Clayey sand (SC)

ANALYSIS OF GATE 2018*(Memory Based) Mechanical Engineering

Module 11 Design of Joints for Special Loading. Version 2 ME, IIT Kharagpur

MECHANICS OF MATERIALS Sample Problem 4.2

Evaluation of conformity criteria for reinforcing steel properties

PROBABILISTIC FRAGILITY ANALYSIS OF COHESIVE CRACK MODELS

THE BEHAVIOUR OF REINFORCED CONCRETE AS DEPICTED IN FINITE ELEMENT ANALYSIS.

1.050: Beam Elasticity (HW#9)

Numerical modeling of standard rock mechanics laboratory tests using a finite/discrete element approach

Transcription:

Uncertainty modelling using software FReET D. Novak, M. Vorechovsky, R. Rusina Brno University of Technology Brno, Czech Republic 1/30

Outline Introduction Methods and main features Software FReET Selected applications Probabilistic analyses of concrete structures Statistical size effect studies Identification of computational model parameters 2/18 2/25 2/30

Methods and main features Small-sample simulation of Monte Carlo type Imposing statistical correlation Sensitivity analysis Reliability analysis 2/18 12/25 3/30

Latin hypercube sampling The range (0; 1) of PDF Φ(Y i ) of each random variable Y i is divided into N non-overlapping intervals of equal probability 1/N (McKay et al. 1979. Iman & Conover 1980, Iman & Shortencarier 1984). The centroids are selected randomly based on random permutations of integers. Every interval of each variable is used only once during the simulation process. variable simulation 2/18 13/25 4/30

LHS: Step 1 - simulation x i, k Sim ( ) b = N x f x dx a Huntington & Lyrintzis (1998) Mean value: accurately Stand. deviation: significant improvement 2/18 14/25 5/23

LHS: Step 2 imposing statistical correlation simulation variable x 1 y 1 z 1 x 2 y 2 z 2 x 3 y 3 z 3 x 4 y 4 z 4 x 5 y 5 z 5 x 6 y 6 z 6 x 7 y 7 z 7 x 8 y 8 z 8 x NSim y NSim z NSim Simulated annealing: Probability to escape from local minima Cooling - decreasing of system excitation Boltzmann PDF, energetic analogy r kb ( ) P E e E T 2/18 15/25 6/30

LHS: Step 2 imposing statistical correlation variable x 1 y 1 z 1 x 2 y 2 z 2 x 3 y 3 z 3 x 4 y 4 z 4 simulation x 5 y 5 z 5 x 6 y 6 z 6 x 7 y 7 z 7 x 8 y 8 z 8 x NSim y NSim z NSim 2/18 16/25 7/30

Sensitivity analysis Nonparametric rank-order correlation between input variables ane output response variable Kendall tau Spearman ( q,p ), j = 1,2, K N τi = τ ji j, r s = ( n 1)( n + 1) Robust - uses only orders Additional result of LHS simulation, no extra effort Bigger correlation coefficient = high sensitivity Relative measure of sensitivity (-1, 1) 6 i= 1 1 n n d 2 i INPUT x 1,1 x 1,N INPUT q 1,1 q 1,N OUTPUT R 1 R, N OUTPUT p 1 p N 2/18 17/25 8/30

Reliability analysis Simplified rough estimates, as constrained by extremally small number of simulations (10-100)! Cornell safety index Curve fitting FORM, importance sampling response surface 2/18 18/25 9/30

FREET Probabilistic techniques Crude Monte Carlo simulation Latin Hypercube Sampling (3 types) First Order Reliability Method (FORM) Curve fitting Simulated Annealing Bayesian updating Response/Limit state function Closed form (direct) using implemented Equation Editor (simple problems) Numerical (indirect) using user-defined DLL function prepared practically in..any programming language (C++, Fortran, Delphi, etc.) General interface to third-parties software using user-defined *.BAT or *.EXE http://www.freet.cz 2/18 23/25 10/30

FREET Stochastic model (inputs) Friendly Graphical User Environment (GUE) 30 probability distribution functions (PDF), mostly 2-parametric, some 3-parametric, two 4-parametric (Beta PDF and normal PDF with Weibullian left tail) Unified description of random variables optionally by statistical moments or parameters or a combination of moments and parameters PDF calculator Statistical correlation (also weighting option) Categories and comparative values for PDFs Basic random variables visualization, including statistical correlation in both Cartesian and parallel coordinates http://www.freet.cz 2/18 23/25 11/30

FREET Stochastic model 2/18 23/25 12/30

FREET Correlation, simulation 2/18 23/25 13/30

FREET Assessment 2/18 23/25 14/30

Software tools: SARA Studio Probabilistic software FReET http://www.freet.cz + Software for nonlinear fracture mechanics analysis ATENA 2/18 21/25 15/30

ATENA Well-balanced approach for practical applications of advanced FEM in civil engineering Numerical core state-of-art background User friendly Graphical user environment visualization + interaction 2/18 22/25 16/30

Material models for concrete: ATENA software Numerical core advanced nonlinear material models concrete in tension tensile cracks post-peak behavior smeared crack approach crack band method fracture energy fixed or rotated cracks crack localization size-effect is captured 2/18 20/25 17/30

Software tools: SARA Studio 2/18 24/25 18/30

Probabilistis analyses of concrete structures Coll de Isarco viaduct 30 Safety index β 25 20 15 10 CoV = 0.15 CoV = 0.12 CoV = 0.10 CoV = 0.075 CoV = 0.05 Eurocode Design Load 5 0 0 25 50 75 100 125 150 175 200 225 250 Line Load [kn/m] 2/18 9/25 19/30

Probabilistis analyses of concrete structures Coll de Isarco viaduct Random variable description Symbol Units Mean value COV Distribution type Reference Concrete grade B500 6 Modulus of elasticity Ec GPa 36.95 0.15 Lognormal Poisson's ratio µ - 0.2 0.05 Lognormal Estimation 6 Tensile strength ft MPa 3.257 0.18 Weibull 6,7 Compressive strength fc MPa 42.5 0.10 Lognormal 8 Specific fracture energy Gf N/m 81.43 0.20 Weibull 6 Uniaxial compressive strain ε c - 0.0023 0.15 Lognormal Reduction of strength cred - 0.8 0.06 Rectangular Estimation Critical comp displacement wd m 0.0005 0.10 Lognormal Estimation Specific material weight ρ MN/m 3 9 0.023 0.10 Normal Prestressing strands 10 Modulus of elasticity Es GPa 200.0 0.03 Lognormal 10 Yield stress fy MPa 1600.0 0.07 Lognormal 9 Prestressing force F MN 21.85 0.04 Normal Area of strands As m 2 9 0.0237 0.001 Normal 2/18 9/25 20/30

Probabilistis analyses of concrete structures soil structure interaction Stability of concrete tunnel tube in complicated geological conditions Influence of spatial variability of Young modulus and material constants of Drucker-Prager criterion (based on cohesion and angle of internal friction) Analyzed part 50 x 60m, diametr of tunnel 11m, wall thickness 0.5m Plain strain state, 5000 finite elements 5.657E-02 6.300E-02 7.350E-02 8.400E-02 9.450E-02 1.050E-01 1.155E-01 1.260E-01 1.365E-01 1.470E-01 1.575E-01 1.680E-01 1.718E-01 2/18 9/25 21/30

Statistical size effect studies Malpasset dam (failed 1959) Calculation for different sizes, microplane M4 model Bažant, Vořechovský, Novák - Icossar 2005 2/18 9/25 22/30

Statistical size effect studies 2/18 9/25 23/30

Statistical size effect studies Shear failure, verification of design formulas 300 1000 925 75 500 50 450 300 250 225 25 300 110 125 15 300 BN100 BN50 BN25 BN12 Nominal strength [kn/m2] 1600 1400 1200 1000 800 Experiments Statistical simulation ACI Eurocode 2 Collins Bažant 600 400 0.0 0.2 0.4 0.6 0.8 1.0 Size (depth of beam) [m] 2/18 9/25 24/30

Identification of computational model parameters Structural response Material model parameters Stochastic calculation (LHS) training set for calibration of synaptic weights and biases 2/18 9/25 25/30

Identification of computational model parameters shear wall test Variable Symb ol Unit Mean value COV Modulus of elasticity E GPa 30 0.10 Tensile strength ft MPa 2.5 0.10 Compressive strength fc MPa 30 0.10 Fracture energy GF N/m 75 0.20 Compressive strain εc - 0.0025 0.20 Max. comp. displacement Bilinear diagram of steel for smeared reinforcement wd m 0.003 0.30 x1 m 0.0027 0.10 fx1 kn 574 0.10 x2 m 0.015 0.10 fx2 kn 764 0.10 2/18 9/25 26/30

Identification of computational model parameters 2/18 9/25 27/30

Identification of computational model parameters Horizontal force [kn]. 1000 800 600 400 200 0 S2 Experiment ATENA 6 parameters identified ATENA 10 parameters identified 0 2 4 6 8 10 12 14 Horizontal displacement [mm] DLNNET 6 par. 10 par. E [MPa] 29,9 33,0 f t [MPa] 2,47 2,47 f c [MPa] 34,51 35,3 G f [MN/m] 75,0 77,85 e c [-] 2,51E-03 2,57E-03 w d [m] 3,00E-03 3,10E-03 x 1 2,72E-03 2,74E-03 fx 1 566,9 570,7 x 2 1,50E-02 1,47E-02 fx 2 764 768,8 2/18 9/25 28/30

Conclusions FREET - software for statistical, sensitivity and reliability analysis Suitable for analysis of computationally intensive problems (eg. continuum mechanics, FEM) Software development: 1) Stand alone module - definition of reliability problem (user-defined response/limit state function) 2) Integration with software ATENA - nonlinear fracture mechanics of reinforced concrete structures (Červenka Consulting) 2/18 25/25 29/30

Thank You for Your attention! http://www.freet.cz 2/30