Structural health monitoring of offshore jacket platforms by inverse vibration problem. M. T. Nikoukalam On behalf of Kiarash M.

Size: px
Start display at page:

Download "Structural health monitoring of offshore jacket platforms by inverse vibration problem. M. T. Nikoukalam On behalf of Kiarash M."

Transcription

1 Structural health monitoring of offshore jacket platforms by inverse vibration problem M. T. Nikoukalam On behalf of Kiarash M. Dolatshahi 1 Outline 1- Introduction 2- Motivation 3- Description of inverse problem 4- Health monitoring of: 2D shear building models 2D moment building models 3D shear building models 5- Conclusion 2 ١

2 Offshore jacket platforms: 3 4 ٢

3 5 6 ٣

4 Inspection: 7 Structural Health Monitoring (SHM): 1- Damage detection 2- Damage localization 3- Damage quantification 4- Damage diagnosis 5- Damage Prognosis 8 ۴

5 Motivation: (Damage detection methods) Experimental Modal Analysis (EMA) Forced excitation Operational Modal Analysis (OMA) Ambient excitation 9 Inverse Vibration Problem:(IVP) Direct solution : M, K, ω ϕ ω ϕ Inverse solution :, M, K IVP : M, ω, ϕ n n K 10 ۵

6 M Input u,w Phase 1 Phase 2 IVP K u,w Output Phase 1 Phase 2 K Phase 1 K Phase 2 K SHM Damage estimation 11 Formulation: [ K] λ [ M] ( ) φ = 0 [ M ] = [ L][ L] T i i T [ ] [ ] [ ] 1/2 1/2 1/2 1/2,,..., L L M diag m m m 1 2 N = = = 1 {} u = [ L]{ φ} {} φ = [ L] {} u [ ] 1 [ ][ ] 1 { } [ ] 1 L K L u λ L [ M][ L] 1 { u} = 0 [ ] 1/2 [ ][ ] 1/2 {} [ ] 1/2 M K M u = λ M [ M][ M] 1/2 {} u [B] [I] (1) (2) (3) (4) (5) (6) 12 ۶

7 [ U] { u} { u } =,..., 1 n (7) [ B][ U] = [ U][ Λ] (8) 13 Shear building: Inputs: [M], {u1}, w1 IVP Output: [K] 14 ٧

8 [ B][ U] = [ U][ Λ] 15 SPD2 Platform: 16 ٨

9 Modeling: 17 2-D platform: (Shear structural model) m1,k1 m2,k2 [ M ] m m = 0 0 m m4 w1 u11 u21 m3,k3 K m4,k4 [ ] k1 k1 0 0 k k + k k = 0 k2 k2 + k3 k3 0 0 k3 k3 + k4 u31 u41 Inputs: [M], {u1}, w1 IVP Output: [K] 18 ٩

10 Damage detection of the 2-D platform: (Shear structural model) 19 Inputs: Undamaged: Damaged: 20 ١٠

11 Damage detection of the 2-D platform: (Shear structural model) 29.5% in braces By considering rotational DoF: (Real case) 17% Estimated damage of level % in braces 21 2-D platform: (flexural structural model) 22 ١١

12 A1 B1 T B1 [ B] k1 k1 0 0 m1 mm 1 2 k1 k1+ k2 k 2 B2 0 mm m mm 2 3 = k2 k2 + k3 k 3 0 T mm m mm 3 4 k3 k3 k A3 mm m A2 B2 B3T B3 A4 23 [ B] [ A1] [ B1] [ 0] [ 0] T [ B1] [ A2] [ B2] [ 0] T [ 0] [ B2] [ A3] [ B3] T [ 0] [ 0] [ B ] [ A ] = ١٢

13 2-D platform: (flexural structural model) Mode #1 Mode #2 25 Lateral stiffness of undamaged 2-D platform: (flexural structural model) Elevation number stiffness symbol kx 1 kx 2 kx 3 kx 4 Direct solution (10 6 N/m) Inverse solution (10 6 N/m) Absolute error (%) Damage detection of 2-D platform by two modes: (flexural structural model) Elevation stiffness Undamaged Damaged Estimated damage Relative error number symbol (10 6 N/m) (10 6 N/m) (%) (%) 1 kx kx % in kx braces kx ١٣

14 3-D platform: (shear structural model) 27 A1 B1 B1 T A2 T B2 B2 A3 B3T B3 A ١۴

15 29 Mode #1 Mode #2 Mode #3 30 ١۵

16 Damage detection of 3-D platform: (shear structural model) ky 1 ky 2 ky 3 ky 4 Estimated Relative Elevation stiffness Undamaged ex ey Damaged ex ey damage error number symbol (10 6 N/m) (m) (m) (10 6 N/m) (m) (m) (%) (%) kx k kx % 0.1 in braces 0 k kx k kx k Damage detection of 3-D platform: ky 1 ky 2 ky 3 ky 4 Estimated Relative Elevation stiffness Undamaged ex ey Damaged ex ey damage error number symbol (10 6 N/m) (m) (m) (10 6 N/m) (m) (m) (%) (%) kx k kx % 2.6 in braces 0.2 k kx k kx k ١۶

17 Uncertainty analysis: 33 error range: 10% μ=28.1% σ=7.4% 80% 20-38% 34 ١٧

18 error range: 5% μ=28.3% σ=3.8% 80% 24-34% 35 error range: 2% 36 ١٨

19 error range: 1% 37 Probabilistic Sensitivity: Sensitivity Δdamage = = 2.25 Δerror of acc. 38 ١٩

20 Conclusion: 2-D platform: (shear structural model) 1 mode 2-D platform: (flexural structural model) 2 modes 3-D platform: (shear structural model) 3 modes Uncertainty analysis 39 Thanks for your attention 40 ٢٠

Reliable Condition Assessment of Structures Using Uncertain or Limited Field Modal Data

Reliable Condition Assessment of Structures Using Uncertain or Limited Field Modal Data Reliable Condition Assessment of Structures Using Uncertain or Limited Field Modal Data Mojtaba Dirbaz Mehdi Modares Jamshid Mohammadi 6 th International Workshop on Reliable Engineering Computing 1 Motivation

More information

Statistical Damage Detection Using Time Series Analysis on a Structural Health Monitoring Benchmark Problem

Statistical Damage Detection Using Time Series Analysis on a Structural Health Monitoring Benchmark Problem Source: Proceedings of the 9th International Conference on Applications of Statistics and Probability in Civil Engineering, San Francisco, CA, USA, July 6-9, 2003. Statistical Damage Detection Using Time

More information

Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment

Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment Bayesian System Identification based on Hierarchical Sparse Bayesian Learning and Gibbs Sampling with Application to Structural Damage Assessment Yong Huang a,b, James L. Beck b,* and Hui Li a a Key Lab

More information

Données, SHM et analyse statistique

Données, SHM et analyse statistique Données, SHM et analyse statistique Laurent Mevel Inria, I4S / Ifsttar, COSYS, SII Rennes 1ère Journée nationale SHM-France 15 mars 2018 1 Outline 1 Context of vibration-based SHM 2 Modal analysis 3 Damage

More information

Verification of assumptions in dynamics of lattice structures

Verification of assumptions in dynamics of lattice structures Verification of assumptions in dynamics of lattice structures B.Błachowski and W.Gutkowski Warsaw, Poland 37th SOLD MECHANCS CONFERENCE, Warsaw, Poland September 6 1, 21 Outline of presentation 1. Motivation

More information

Damage Identification in Wind Turbine Blades

Damage Identification in Wind Turbine Blades Damage Identification in Wind Turbine Blades 2 nd Annual Blade Inspection, Damage and Repair Forum, 2014 Martin Dalgaard Ulriksen Research Assistant, Aalborg University, Denmark Presentation outline Research

More information

Hierarchical sparse Bayesian learning for structural health monitoring. with incomplete modal data

Hierarchical sparse Bayesian learning for structural health monitoring. with incomplete modal data Hierarchical sparse Bayesian learning for structural health monitoring with incomplete modal data Yong Huang and James L. Beck* Division of Engineering and Applied Science, California Institute of Technology,

More information

Damage Localization under Ambient Vibration Using Changes in Flexibility

Damage Localization under Ambient Vibration Using Changes in Flexibility Damage Localization under Ambient Vibration Using Changes in Flexibility Yong Gao and B.F. Spencer, Jr. Ph.D. student, Department of Civil Engineering & Geological Science, University of Notre Dame, Notre

More information

Grandstand Terraces. Experimental and Computational Modal Analysis. John N Karadelis

Grandstand Terraces. Experimental and Computational Modal Analysis. John N Karadelis Grandstand Terraces. Experimental and Computational Modal Analysis. John N Karadelis INTRODUCTION Structural vibrations caused by human activities are not known to be particularly damaging or catastrophic.

More information

Application of Extreme Value Statistics for Structural Health Monitoring. Hoon Sohn

Application of Extreme Value Statistics for Structural Health Monitoring. Hoon Sohn Application of Etreme Value Statistics for Structural Health Monitoring Hoon Sohn Weapon Response Group Engineering Sciences and Applications Division Los Alamos National Laboratory Los Alamos, New Meico,

More information

Damage detection of truss bridge via vibration data using TPC technique

Damage detection of truss bridge via vibration data using TPC technique Damage detection of truss bridge via vibration data using TPC technique Ahmed Noor AL-QAYYIM 1,2, Barlas Özden ÇAĞLAYAN 1 1 Faculty of Civil Engineering, Istanbul Technical University, Istanbul, Turkey

More information

WILEY STRUCTURAL HEALTH MONITORING A MACHINE LEARNING PERSPECTIVE. Charles R. Farrar. University of Sheffield, UK. Keith Worden

WILEY STRUCTURAL HEALTH MONITORING A MACHINE LEARNING PERSPECTIVE. Charles R. Farrar. University of Sheffield, UK. Keith Worden STRUCTURAL HEALTH MONITORING A MACHINE LEARNING PERSPECTIVE Charles R. Farrar Los Alamos National Laboratory, USA Keith Worden University of Sheffield, UK WILEY A John Wiley & Sons, Ltd., Publication Preface

More information

Local Damage Detection in Beam-Column Connections Using a Dense Sensor Network

Local Damage Detection in Beam-Column Connections Using a Dense Sensor Network 3143 Local Damage Detection in Beam-Column Connections Using a Dense Sensor Network Elizabeth L. Labuz 1, Minwoo Chang 2, and Shamim N. Pakzad 3 1 Graduate Student, Department of Civil and Environmental

More information

on the figure. Someone has suggested that, in terms of the degrees of freedom x1 and M. Note that if you think the given 1.2

on the figure. Someone has suggested that, in terms of the degrees of freedom x1 and M. Note that if you think the given 1.2 1) A two-story building frame is shown below. The mass of the frame is assumed to be lumped at the floor levels and the floor slabs are considered rigid. The floor masses and the story stiffnesses are

More information

AN ALTERNATIVE APPROACH TO SOLVE THE RAILWAY MAINTENANCE PROBLEM

AN ALTERNATIVE APPROACH TO SOLVE THE RAILWAY MAINTENANCE PROBLEM AN ALERNAIVE APPROACH O SOLVE HE RAILWAY MAINENANCE PROBLEM Giancarlo Fraraccio, ENEA centro ricerca CASACCIA, FIM-MA-QUAL Italy Gerardo De Canio, ENEA centro ricerca CASACCIA, FIM-MA-QUAL Italy Gianni

More information

Structural Dynamics Lecture 7. Outline of Lecture 7. Multi-Degree-of-Freedom Systems (cont.) System Reduction. Vibration due to Movable Supports.

Structural Dynamics Lecture 7. Outline of Lecture 7. Multi-Degree-of-Freedom Systems (cont.) System Reduction. Vibration due to Movable Supports. Outline of Multi-Degree-of-Freedom Systems (cont.) System Reduction. Truncated Modal Expansion with Quasi-Static Correction. Guyan Reduction. Vibration due to Movable Supports. Earthquake Excitations.

More information

University of California

University of California University of California Peer Reviewed Title: Damage Identification Study of a Seven-story Full-scale Building Slice Tested on the UCSD-NEES Shake Table Author: Moaveni, Babak, Tufts University He, Xianfei,

More information

DAMAGE DETECTION FROM ANALYSIS OF DISPLACEMENT INFLUENCE LINES

DAMAGE DETECTION FROM ANALYSIS OF DISPLACEMENT INFLUENCE LINES DAMAGE DETECTION FROM ANALYSIS OF DISPLACEMENT INFLUENCE LINES Ivana Štimac *, Ante Mihanović **, Ivica Kožar *** *,*** Faculty of Civil Engineering, University of Rijeka V. Cara Emina 5, 51 Rijeka, Croatia

More information

stiffness to the system stiffness matrix. The nondimensional parameter i is introduced to allow the modeling of damage in the ith substructure. A subs

stiffness to the system stiffness matrix. The nondimensional parameter i is introduced to allow the modeling of damage in the ith substructure. A subs A BAYESIAN PROBABILISTIC DAMAGE DETECTION USING LOAD-DEPENDENT RIT VECTORS HOON SOHN Λ and KINCHO H. LAW y Department of Civil and Environmental Engineering, Stanford University, Stanford, CA 9435-42,U.S.A.

More information

Problem 1: A simple 3-dof shear-building model has the following equation: =

Problem 1: A simple 3-dof shear-building model has the following equation: = MEEN 6 E: Normalization and Damped Response Fall 24 Problem : A simple -dof shear-building model has the following equation: m u k+ k2 k2 u p( t) m u k k k k + + u = p ( t) 2 2 2 2 2 2 m u k k u p( t)

More information

WASHINGTON UNIVERSITY SEVER INSTITUTE OF TECHNOLOGY DEPARTMENT OF CIVIL ENGINEERING ABSTRACT

WASHINGTON UNIVERSITY SEVER INSTITUTE OF TECHNOLOGY DEPARTMENT OF CIVIL ENGINEERING ABSTRACT WASHINGTON UNIVERSITY SEVER INSTITUTE OF TECHNOLOGY DEPARTMENT OF CIVIL ENGINEERING ABSTRACT TWO STRUCTURAL HEALTH MONITORING STRATEGIES BASED ON GLOBAL ACCELERATION RESPONSES: DEVELOPMENT, IMPLEMENTATION,

More information

Damage Inspection of Fiber Reinforced Polymer-Concrete Systems using a Distant Acoustic-Laser NDE Technique

Damage Inspection of Fiber Reinforced Polymer-Concrete Systems using a Distant Acoustic-Laser NDE Technique SPIE Smart Structures/NDE March 11, 2010, San Diego, CA Session 10: Civil Infrastructure Health Monitoring I Damage Inspection of Fiber Reinforced Polymer-Concrete Systems using a Distant Acoustic-Laser

More information

Mobile Sensor Networks: A New Approach for Structural Health Monitoring

Mobile Sensor Networks: A New Approach for Structural Health Monitoring Mobile Sensor Networks: A New Approach for Structural Health Monitoring Dapeng Zhu 1, Xiaohua Yi 1, Yang Wang 1, Jiajie Guo, Kok-Meng Lee 1 School of Civil and Environmental Engineering, Georgia Institute

More information

FLINOVIA 2017, State Collage, USA. Dr. Alexander Peiffer, Dr. Uwe Müller 27 th -28 th April 2017

FLINOVIA 2017, State Collage, USA. Dr. Alexander Peiffer, Dr. Uwe Müller 27 th -28 th April 2017 Review of efficient methods for the computation of transmission loss of plates with inhomogeneous material properties and curvature under turbulent boundary layer excitation FLINOVIA 2017, State Collage,

More information

Lamb Wave Propagation Modeling Using Cellular Automata

Lamb Wave Propagation Modeling Using Cellular Automata 6th European Workshop on Structural Health Monitoring - We.3.E.2 More info about this article: http://www.ndt.net/?id=14171 Lamb Wave Propagation Modeling Using Cellular Automata P. KLUSKA 1, W. J. STASZEWSKI

More information

Damage Detection in Cantilever Beams using Vibration Based Methods

Damage Detection in Cantilever Beams using Vibration Based Methods More info about this article: http://www.ndt.net/?id=21240 Damage Detection in Cantilever Beams using Vibration Based Methods Santosh J. Chauhan, Nitesh P Yelve, Veda P. Palwankar Department of Mechanical

More information

On the Nature of Random System Matrices in Structural Dynamics

On the Nature of Random System Matrices in Structural Dynamics On the Nature of Random System Matrices in Structural Dynamics S. ADHIKARI AND R. S. LANGLEY Cambridge University Engineering Department Cambridge, U.K. Nature of Random System Matrices p.1/20 Outline

More information

OPERATIONAL MODAL ANALYSIS AND DYNAMIC CHARACTERISTICS OF ASWAN HIGH DAM

OPERATIONAL MODAL ANALYSIS AND DYNAMIC CHARACTERISTICS OF ASWAN HIGH DAM Twelfth International Water Technology Conference, IWTC12 2008, Alexandria, Egypt OPERATIONAL MODAL ANALYSIS AND DYNAMIC CHARACTERISTICS OF ASWAN HIGH DAM S. M. Abdel-Rahman Mechanical & Electrical Research

More information

Input-Output Peak Picking Modal Identification & Output only Modal Identification and Damage Detection of Structures using

Input-Output Peak Picking Modal Identification & Output only Modal Identification and Damage Detection of Structures using Input-Output Peak Picking Modal Identification & Output only Modal Identification and Damage Detection of Structures using Time Frequency and Wavelet Techniquesc Satish Nagarajaiah Professor of Civil and

More information

FEM Updating for Offshore Jacket Structures Using Measured Incomplete Modal Data

FEM Updating for Offshore Jacket Structures Using Measured Incomplete Modal Data INTERNATIONAL JOURNAL OF MARITIME TECHNOLOG IJMT Vol.5/ Winter 0 (-) Available online at: http://ijmt.ir/browse.php?a_code=a--7-3&sid=&slc_lang=en FEM Updating for Offshore Jacket Structures Using Measured

More information

Damping Modelling and Identification Using Generalized Proportional Damping

Damping Modelling and Identification Using Generalized Proportional Damping Damping Modelling and Identification Using Generalized Proportional Damping S Adhikari Department of Aerospace Engineering, University of Bristol, Bristol, U.K. Email: S.Adhikari@bristol.ac.uk Generalized

More information

Chapter 2: Rigid Bar Supported by Two Buckled Struts under Axial, Harmonic, Displacement Excitation..14

Chapter 2: Rigid Bar Supported by Two Buckled Struts under Axial, Harmonic, Displacement Excitation..14 Table of Contents Chapter 1: Research Objectives and Literature Review..1 1.1 Introduction...1 1.2 Literature Review......3 1.2.1 Describing Vibration......3 1.2.2 Vibration Isolation.....6 1.2.2.1 Overview.

More information

Application of frequency response curvature method for damage detection in beam and plate like structures

Application of frequency response curvature method for damage detection in beam and plate like structures IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Application of frequency response curvature method for damage detection in beam and plate like structures To cite this article:

More information

Design of Earthquake-Resistant Structures

Design of Earthquake-Resistant Structures NATIONAL TECHNICAL UNIVERSITY OF ATHENS LABORATORY OF EARTHQUAKE ENGINEERING Design of Earthquake-Resistant Structures Basic principles Ioannis N. Psycharis Basic considerations Design earthquake: small

More information

(Round up to the nearest inch.)

(Round up to the nearest inch.) Assignment 10 Problem 5.46 LRFD First, select the lightest weight W14 column. Use the recommended design value for K for the pinned-fixed support condition specified (ref. Commentary, Appendix 7, AISC

More information

Eurocode 8 Part 3: Assessment and retrofitting of buildings

Eurocode 8 Part 3: Assessment and retrofitting of buildings in the Euro-Mediterranean Area Eurocode 8 Part 3: Assessment and retrofitting of buildings Paolo Emilio Pinto Università di Roma La Sapienza Urgency of guidance documents for assessment and retrofit in

More information

STRUCTURAL DAMAGE DETECTION THROUGH CROSS CORRELATION ANALYSIS OF MOBILE SENSING DATA

STRUCTURAL DAMAGE DETECTION THROUGH CROSS CORRELATION ANALYSIS OF MOBILE SENSING DATA 5 th World Conference on Structural Control and Monitoring 5WCSCM-3 STRUCTURAL DAMAGE DETECTION THROUGH CROSS CORRELATION ANALYSIS OF MOBILE SENSING DATA Dapeng Zhu, Xiaohua Yi, Yang Wang School of Civil

More information

Introduction to Statistical Inference

Introduction to Statistical Inference Structural Health Monitoring Using Statistical Pattern Recognition Introduction to Statistical Inference Presented by Charles R. Farrar, Ph.D., P.E. Outline Introduce statistical decision making for Structural

More information

PROCEDURES FOR IDENTIFICATION OF OFFSHORE PLATFORM STRUCTURAL DAMAGES

PROCEDURES FOR IDENTIFICATION OF OFFSHORE PLATFORM STRUCTURAL DAMAGES PROCEDURES FOR IDENTIFICATION OF OFFSHORE PLATFORM STRUCTURAL DAMAGES Paula F. Viero and Ney Roitman COPPE/UFRJ - Civil Engineering Department E-mail: paula@labest.coc.ufrj.br Abstract The present work

More information

How to Validate Stochastic Finite Element Models from Uncertain Experimental Modal Data Yves Govers

How to Validate Stochastic Finite Element Models from Uncertain Experimental Modal Data Yves Govers How to Validate Stochastic Finite Element Models from Uncertain Experimental Modal Data Yves Govers Slide 1 Outline/ Motivation Validation of Finite Element Models on basis of modal data (eigenfrequencies

More information

A Wavelet based Damage Diagnosis Algorithm Using Principal Component Analysis

A Wavelet based Damage Diagnosis Algorithm Using Principal Component Analysis A Wavelet based Damage Diagnosis Algorithm Using Principal Component Analysis K. Krishnan Nair and Anne S. Kiremidian K. Krishnan Nair, Post Doctoral Student, Departments of Civil and Environmental Engineering

More information

SENSITIVITY ANALYSIS OF ADAPTIVE MAGNITUDE SPECTRUM ALGORITHM IDENTIFIED MODAL FREQUENCIES OF REINFORCED CONCRETE FRAME STRUCTURES

SENSITIVITY ANALYSIS OF ADAPTIVE MAGNITUDE SPECTRUM ALGORITHM IDENTIFIED MODAL FREQUENCIES OF REINFORCED CONCRETE FRAME STRUCTURES SENSITIVITY ANALYSIS OF ADAPTIVE MAGNITUDE SPECTRUM ALGORITHM IDENTIFIED MODAL FREQUENCIES OF REINFORCED CONCRETE FRAME STRUCTURES K. C. G. Ong*, National University of Singapore, Singapore M. Maalej,

More information

M.S Comprehensive Examination Analysis

M.S Comprehensive Examination Analysis UNIVERSITY OF CALIFORNIA, BERKELEY Spring Semester 2014 Dept. of Civil and Environmental Engineering Structural Engineering, Mechanics and Materials Name:......................................... M.S Comprehensive

More information

Structural changes detection with use of operational spatial filter

Structural changes detection with use of operational spatial filter Structural changes detection with use of operational spatial filter Jeremi Wojcicki 1, Krzysztof Mendrok 1 1 AGH University of Science and Technology Al. Mickiewicza 30, 30-059 Krakow, Poland Abstract

More information

Structural Health Monitoring and Dynamic Identification of Structures: Applications

Structural Health Monitoring and Dynamic Identification of Structures: Applications Structural Health Monitoring and Dynamic Identification of Structures: Applications Computer Lab II, IMSS (017) Ground Work: Definition of the problem & System Modeling when we have full knowledge of the

More information

Application of load-dependent Ritz vectors to Bayesian probabilistic damage detection

Application of load-dependent Ritz vectors to Bayesian probabilistic damage detection Probabilistic Engineering Mechanics 15 (2000) 139 153 www.elsevier.com/locate/probengmech Application of load-dependent Ritz vectors to Bayesian probabilistic damage detection Hoon Sohn, Kincho H. Law*

More information

AN CHARACTERIZATION OF JACKET-TYPE OFFSHORE STRUCTURE BY OP- ERATIONAL MODAL ANALYSIS

AN CHARACTERIZATION OF JACKET-TYPE OFFSHORE STRUCTURE BY OP- ERATIONAL MODAL ANALYSIS Blucher Mechanical Engineering Proceedings May 2014, vol. 1, num. 1 www.proceedings.blucher.com.br/evento/10wccm AN CHARACTERIZATION OF JACKET-TYPE OFFSHORE STRUCTURE BY OP- ERATIONAL MODAL ANALYSIS A.

More information

OBSERVER/KALMAN AND SUBSPACE IDENTIFICATION OF THE UBC BENCHMARK STRUCTURAL MODEL

OBSERVER/KALMAN AND SUBSPACE IDENTIFICATION OF THE UBC BENCHMARK STRUCTURAL MODEL OBSERVER/KALMAN AND SUBSPACE IDENTIFICATION OF THE UBC BENCHMARK STRUCTURAL MODEL Dionisio Bernal, Burcu Gunes Associate Proessor, Graduate Student Department o Civil and Environmental Engineering, 7 Snell

More information

Feasibility of dynamic test methods in classification of damaged bridges

Feasibility of dynamic test methods in classification of damaged bridges Feasibility of dynamic test methods in classification of damaged bridges Flavio Galanti, PhD, MSc., Felieke van Duin, MSc. TNO Built Environment and Geosciences, P.O. Box 49, 26 AA, Delft, The Netherlands.

More information

Uncertainty analysis of system identification results obtained for a seven-story building slice tested on the UCSD-NEES shake table

Uncertainty analysis of system identification results obtained for a seven-story building slice tested on the UCSD-NEES shake table STRUCTURAL CONTROL AND HEALTH MONITORING Struct. Control Health Monit. (23) Published online in Wiley Online Library (wileyonlinelibrary.com). DOI:.2/stc.577 Uncertainty analysis of system identification

More information

A SIMPLE LMS-BASED APPROACH TO THE STRUCTURAL HEALTH MONITORING BENCHMARK PROBLEM

A SIMPLE LMS-BASED APPROACH TO THE STRUCTURAL HEALTH MONITORING BENCHMARK PROBLEM A SIMPLE LMS-BASED APPROACH TO THE STRUCTURAL HEALTH MONITORING BENCHMARK PROBLEM A thesis submitted in partial fulfilment of the requirements for the Degree of Master of Mechanical Engineering in the

More information

FATIGUE BEHAVIOUR OF OFFSHORE STEEL JACKET PLATFORMS

FATIGUE BEHAVIOUR OF OFFSHORE STEEL JACKET PLATFORMS FATIGUE BEHAVIOUR OF OFFSHORE STEEL JACKET PLATFORMS by ASHOK GUPTA THESIS SUBMITTED TO THE INDIAN INSTITUTE OF TECHNOLOGY, DELHI FOR THE AWARD OF THE DEGREE OF DOCTOR OF PHILOSOPHY Department of Civil

More information

Unsupervised Learning Methods

Unsupervised Learning Methods Structural Health Monitoring Using Statistical Pattern Recognition Unsupervised Learning Methods Keith Worden and Graeme Manson Presented by Keith Worden The Structural Health Monitoring Process 1. Operational

More information

EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS Revision F

EFFECTIVE MODAL MASS & MODAL PARTICIPATION FACTORS Revision F EFFECTIVE MODA MASS & MODA PARTICIPATION FACTORS Revision F By Tom Irvine Email: tomirvine@aol.com March 9, 1 Introduction The effective modal mass provides a method for judging the significance of a vibration

More information

HEALTH MONITORING OF PLATE STRUCTURE USING PIEZO ELECTRIC PATCHES AND CURVATURE MODE SHAPE

HEALTH MONITORING OF PLATE STRUCTURE USING PIEZO ELECTRIC PATCHES AND CURVATURE MODE SHAPE ISSN (Online) : 2319-8753 ISSN (Print) : 2347-6710 International Journal of Innovative Research in Science, Engineering and Technology An ISO 3297: 2007 Certified Organization, Volume 2, Special Issue

More information

Ph.D. Preliminary Examination Analysis

Ph.D. Preliminary Examination Analysis UNIVERSITY OF CALIFORNIA, BERKELEY Spring Semester 2017 Dept. of Civil and Environmental Engineering Structural Engineering, Mechanics and Materials Name:......................................... Ph.D.

More information

Experimental Validation of Normalized Uniform Load Surface Curvature Method for Damage Localization

Experimental Validation of Normalized Uniform Load Surface Curvature Method for Damage Localization Sensors 2015, 15, 26315-26330; doi:10.3390/s151026315 Article OPEN ACCESS sensors ISSN 1424-8220 www.mdpi.com/journal/sensors Experimental Validation of Normalized Uniform Load Surface Curvature Method

More information

Modal Based Fatigue Monitoring of Steel Structures

Modal Based Fatigue Monitoring of Steel Structures Modal Based Fatigue Monitoring of Steel Structures Jesper Graugaard-Jensen Structural Vibration Solutions A/S, Denmark Rune Brincker Department of Building Technology and Structural Engineering Aalborg

More information

Toward a novel approach for damage identification and health monitoring of bridge structures

Toward a novel approach for damage identification and health monitoring of bridge structures Toward a novel approach for damage identification and health monitoring of bridge structures Paolo Martino Calvi 1, Paolo Venini 1 1 Department of Structural Mechanics, University of Pavia, Italy E-mail:

More information

Modeling and Monitoring of Damage in Grouted Joints

Modeling and Monitoring of Damage in Grouted Joints 6th European Workshop on Structural Health Monitoring - Tu.2.D.4 More info about this article: http://www.ndt.net/?id=14100 Modeling and Monitoring of Damage in Grouted Joints Y. PETRYNA, M. LINK and A.

More information

a) Find the equation of motion of the system and write it in matrix form.

a) Find the equation of motion of the system and write it in matrix form. .003 Engineering Dynamics Problem Set Problem : Torsional Oscillator Two disks of radius r and r and mass m and m are mounted in series with steel shafts. The shaft between the base and m has length L

More information

DYNAMICS OF MACHINERY 41514

DYNAMICS OF MACHINERY 41514 DYNAMICS OF MACHINERY 454 PROJECT : Theoretical and Experimental Modal Analysis and Validation of Mathematical Models in Multibody Dynamics Holistic Overview of the Project Steps & Their Conceptual Links

More information

System Theory- Based Iden2fica2on of Dynamical Models and Applica2ons

System Theory- Based Iden2fica2on of Dynamical Models and Applica2ons System Theory- Based Iden2fica2on of Dynamical Models and Applica2ons K. C. Park Center for Aerospace Structures Department of Aerospace Engineering Sciences University of Colorado at Boulder, CO, USA

More information

IOMAC'15 6 th International Operational Modal Analysis Conference

IOMAC'15 6 th International Operational Modal Analysis Conference IOMAC'15 6 th International Operational Modal Analysis Conference 2015 May12-14 Gijón - Spain COMPARISON OF DIFFERENT TECHNIQUES TO SCALE MODE SHAPES IN OPERATIONAL MODAL ANALYSIS. Luis Borja Peral Mtnez

More information

Damage Detection In Non-Prismatic Reinforced Concrete Beams Using Curvature Mode Shapes

Damage Detection In Non-Prismatic Reinforced Concrete Beams Using Curvature Mode Shapes SIF004 Structural Integrity and Fracture. http://eprint.uq.edu.au/archive/00000836 Damage Detection In Non-Prismatic Reinforced Concrete Beams Using Curvature Mode Shapes F Saleh 1, B Supriyadi 1, B Suhendro

More information

Improving the Accuracy of Dynamic Vibration Fatigue Simulation

Improving the Accuracy of Dynamic Vibration Fatigue Simulation Improving the Accuracy of Dynamic Vibration Fatigue Simulation Kurt Munson HBM Prenscia Agenda 2 1. Introduction 2. Dynamics and the frequency response function (FRF) 3. Using finite element analysis (FEA)

More information

Lectures on. Engineering System Identification ( Lund University, Spring 2015)

Lectures on. Engineering System Identification ( Lund University, Spring 2015) Lectures on Engineering System Identification ( Lund University, Spring 2015) Lecture 2: Elements of System Identification, Identification Process and Examples!!! Instructor: K. C. Park, University of

More information

IDENTIFICATION OF MODAL PARAMETERS FROM TRANSMISSIBILITY MEASUREMENTS

IDENTIFICATION OF MODAL PARAMETERS FROM TRANSMISSIBILITY MEASUREMENTS IDENTIFICATION OF MODAL PARAMETERS FROM TRANSMISSIBILITY MEASUREMENTS Patrick Guillaume, Christof Devriendt, and Gert De Sitter Vrije Universiteit Brussel Department of Mechanical Engineering Acoustics

More information

Monitoring the Condition of a Bridge using a Traffic Speed Deflectometer Vehicle Travelling at Highway Speed

Monitoring the Condition of a Bridge using a Traffic Speed Deflectometer Vehicle Travelling at Highway Speed Monitoring the Condition of a Bridge using a Traffic Speed Deflectometer Vehicle Travelling at Highway Speed Eugene J. OBrien 1, 2, Enrique Sevillano 1, Daniel Martinez 1 1 School of Civil Engineering,

More information

DAMAGE DETECTION WITH INTERVAL ANALYSIS FOR UNCERTAINTIES QUANTIFICATION

DAMAGE DETECTION WITH INTERVAL ANALYSIS FOR UNCERTAINTIES QUANTIFICATION DAMAGE DETECTION WITH INTERVAL ANALYSIS FOR UNCERTAINTIES QUANTIFICATION Gang Liu 1, 2,*, Zhu Mao 3, Jun Luo 2 1. Key Laboratory of New Technology for Construction of Cities in Mountain Area (Chongqing

More information

VARIANCE COMPUTATION OF MODAL PARAMETER ES- TIMATES FROM UPC SUBSPACE IDENTIFICATION

VARIANCE COMPUTATION OF MODAL PARAMETER ES- TIMATES FROM UPC SUBSPACE IDENTIFICATION VARIANCE COMPUTATION OF MODAL PARAMETER ES- TIMATES FROM UPC SUBSPACE IDENTIFICATION Michael Döhler 1, Palle Andersen 2, Laurent Mevel 1 1 Inria/IFSTTAR, I4S, Rennes, France, {michaeldoehler, laurentmevel}@inriafr

More information

STRUCTURAL DAMAGE DETECTION USING FREQUENCY RESPONSE FUNCTIONS

STRUCTURAL DAMAGE DETECTION USING FREQUENCY RESPONSE FUNCTIONS STRUCTURAL DAMAGE DETECTION USING FREQUENCY RESPONSE FUNCTIONS A Thesis by SELCUK DINCAL Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for

More information

Model Validation for Geomagnetically Induced Currents Based on Real Data

Model Validation for Geomagnetically Induced Currents Based on Real Data for Geomagnetically Induced Currents Based on Real Data Maryam Kazerooni Advisor: Prof. Thomas J. Overbye Collaborator: Prof. Hao Zhu Universities of Illinois at Urbana-Champaign May 214 Maryam Kazerooni

More information

Author(s) Malekjafarian, Abdollah; O'Brien, Eugene J.

Author(s) Malekjafarian, Abdollah; O'Brien, Eugene J. Provided by the author(s) and University College Dublin Library in accordance with publisher policies. Please cite the published version when available. Title Application of Laser Measurement to the Drive-by

More information

Structural Dynamics Lecture Eleven: Dynamic Response of MDOF Systems: (Chapter 11) By: H. Ahmadian

Structural Dynamics Lecture Eleven: Dynamic Response of MDOF Systems: (Chapter 11) By: H. Ahmadian Structural Dynamics Lecture Eleven: Dynamic Response of MDOF Systems: (Chapter 11) By: H. Ahmadian ahmadian@iust.ac.ir Dynamic Response of MDOF Systems: Mode-Superposition Method Mode-Superposition Method:

More information

On the Dynamics of Suspension Bridge Decks with Wind-induced Second-order Effects

On the Dynamics of Suspension Bridge Decks with Wind-induced Second-order Effects MMPS 015 Convegno Modelli Matematici per Ponti Sospesi Politecnico di Torino Dipartimento di Scienze Matematiche 17-18 Settembre 015 On the Dynamics of Suspension Bridge Decks with Wind-induced Second-order

More information

Uncertainty Analysis of System Identification Results Obtained for a Seven Story Building Slice Tested on the UCSD-NEES Shake Table

Uncertainty Analysis of System Identification Results Obtained for a Seven Story Building Slice Tested on the UCSD-NEES Shake Table Uncertainty Analysis of System Identification Results Obtained for a Seven Story Building Slice Tested on the UCSD-NEES Shake Table Babak Moaveni 1, Andre R. Barbosa 2, Joel P. Conte 3, and François M.

More information

Damage Characterization of the IASC-ASCE Structural Health Monitoring Benchmark Structure by Transfer Function Pole Migration. J. P.

Damage Characterization of the IASC-ASCE Structural Health Monitoring Benchmark Structure by Transfer Function Pole Migration. J. P. SOURCE: Jerome P. Lynch, " Damage Characterization of the IASC-ASCE Structural Health Monitoring Benchmark Structure by Transfer Function Pole Migration, " Proceedings of the 2005 ASCE Structures Congress,

More information

Substructure-level based method for damage quantification in determinant trusses

Substructure-level based method for damage quantification in determinant trusses Substructure-level based method for damage quantification in determinant trusses B. Blachowski 1, Y. An 2, B.F. Spencer 3 Jr. 1 Institute of Fundamental Technological Research, Pawinskiego 5B, 02-106 Warsaw,

More information

Uncertainty Quantification in Vibration-based Structural Health Monitoring using Bayesian Statistics. Binbin Li

Uncertainty Quantification in Vibration-based Structural Health Monitoring using Bayesian Statistics. Binbin Li Uncertainty Quantification in Vibration-based Structural Health Monitoring using Bayesian Statistics by Binbin Li A dissertation submitted in partial satisfaction of the requirements for the degree of

More information

Dynamic System Identification using HDMR-Bayesian Technique

Dynamic System Identification using HDMR-Bayesian Technique Dynamic System Identification using HDMR-Bayesian Technique *Shereena O A 1) and Dr. B N Rao 2) 1), 2) Department of Civil Engineering, IIT Madras, Chennai 600036, Tamil Nadu, India 1) ce14d020@smail.iitm.ac.in

More information

Jinki Kim Department of Mechanical Engineering University of Michigan

Jinki Kim Department of Mechanical Engineering University of Michigan Bistable and Adaptive Piezoelectric Circuitry for Impedance-Based Structural Health Monitoring Jinki Kim Department of Mechanical Engineering University of Michigan April 20 2017 Outline of the Presentation

More information

Structural Dynamics Lecture 2. Outline of Lecture 2. Single-Degree-of-Freedom Systems (cont.)

Structural Dynamics Lecture 2. Outline of Lecture 2. Single-Degree-of-Freedom Systems (cont.) Outline of Single-Degree-of-Freedom Systems (cont.) Linear Viscous Damped Eigenvibrations. Logarithmic decrement. Response to Harmonic and Periodic Loads. 1 Single-Degreee-of-Freedom Systems (cont.). Linear

More information

AHL 9.1 Energy transformation

AHL 9.1 Energy transformation AHL 9.1 Energy transformation 17.1.2018 1. [1 mark] A pendulum oscillating near the surface of the Earth swings with a time period T. What is the time period of the same pendulum near the surface of the

More information

Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades

Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades Operational Modal Analysis and Wavelet Transformation for Damage Identification in Wind Turbine Blades Martin Dalgaard Ulriksen, Dmitri Tcherniak, Poul Henning Kirkegaard, Lars Damkilde To cite this version:

More information

Research Article Damage Detection in Railway Truss Bridges Employing Data Sensitivity under Bayesian Framework: A Numerical Investigation

Research Article Damage Detection in Railway Truss Bridges Employing Data Sensitivity under Bayesian Framework: A Numerical Investigation Hindawi Shock and Vibration Volume 7, Article ID 64339, 9 pages https://doi.org/.55/7/64339 Research Article Damage Detection in Railway Truss Bridges Employing Data Sensitivity under Bayesian Framework:

More information

PROJECT 1 DYNAMICS OF MACHINES 41514

PROJECT 1 DYNAMICS OF MACHINES 41514 PROJECT DYNAMICS OF MACHINES 454 Theoretical and Experimental Modal Analysis and Validation of Mathematical Models in Multibody Dynamics Ilmar Ferreira Santos, Professor Dr.-Ing., Dr.Techn., Livre-Docente

More information

The sensitivity analysis of the translation and the rotation angle of the first-order mode shape of the joints in frame structures

The sensitivity analysis of the translation and the rotation angle of the first-order mode shape of the joints in frame structures The sensitivity analysis of the translation and the rotation angle of the first-order mode shape of the joints in frame structures Yi Chen Yuan 1, Lin Li 2, Hongping Zhu 3 School of Civil Engineering and

More information

Modal analysis of shear buildings

Modal analysis of shear buildings Modal analysis of shear buildings A comprehensive modal analysis of an arbitrary multistory shear building having rigid beams and lumped masses at floor levels is obtained. Angular frequencies (rad/sec),

More information

Name: Fall 2014 CLOSED BOOK

Name: Fall 2014 CLOSED BOOK Name: Fall 2014 1. Rod AB with weight W = 40 lb is pinned at A to a vertical axle which rotates with constant angular velocity ω =15 rad/s. The rod position is maintained by a horizontal wire BC. Determine

More information

Subspace-based damage detection on steel frame structure under changing excitation

Subspace-based damage detection on steel frame structure under changing excitation Subspace-based damage detection on steel frame structure under changing excitation M. Döhler 1,2 and F. Hille 1 1 BAM Federal Institute for Materials Research and Testing, Safety of Structures Department,

More information

A Probabilistic Framework for solving Inverse Problems. Lambros S. Katafygiotis, Ph.D.

A Probabilistic Framework for solving Inverse Problems. Lambros S. Katafygiotis, Ph.D. A Probabilistic Framework for solving Inverse Problems Lambros S. Katafygiotis, Ph.D. OUTLINE Introduction to basic concepts of Bayesian Statistics Inverse Problems in Civil Engineering Probabilistic Model

More information

Control of Earthquake Induced Vibrations in Asymmetric Buildings Using Passive Damping

Control of Earthquake Induced Vibrations in Asymmetric Buildings Using Passive Damping Control of Earthquake Induced Vibrations in Asymmetric Buildings Using Passive Damping Rakesh K. Goel, California Polytechnic State University, San Luis Obispo Abstract This paper summarizes the results

More information

VIBRATION CONTROL OF RECTANGULAR CROSS-PLY FRP PLATES USING PZT MATERIALS

VIBRATION CONTROL OF RECTANGULAR CROSS-PLY FRP PLATES USING PZT MATERIALS Journal of Engineering Science and Technology Vol. 12, No. 12 (217) 3398-3411 School of Engineering, Taylor s University VIBRATION CONTROL OF RECTANGULAR CROSS-PLY FRP PLATES USING PZT MATERIALS DILEEP

More information

Influence of Environmental Conditions and Damage on the Modal Properties of a Small Scale Wind Turbine A Case Study

Influence of Environmental Conditions and Damage on the Modal Properties of a Small Scale Wind Turbine A Case Study 8th European Workshop On Structural Health Monitoring (EWSHM 2016), 5-8 July 2016, Spain, Bilbao www.ndt.net/app.ewshm2016 Influence of Environmental Conditions and Damage on the Modal Properties of a

More information

Measurement of ambient vibration of a twin-tower building with enlarged base and model modification

Measurement of ambient vibration of a twin-tower building with enlarged base and model modification 42 2 2 0 0 9 2 CHINA CIVIL ENGINEERING JOURNAL Vol. 42 No. 2 Feb. 2009 1 1 2 1. 4100822. 410007 27 - PKPM SATWE TU317 +.1 1000-131X 200902-0065-08 A Measurement of ambient vibration of a twin-tower building

More information

Identification of Nonlinear Mechanical Systems: State of the Art and Recent Trends

Identification of Nonlinear Mechanical Systems: State of the Art and Recent Trends - Acceleration (m/s 2 ) Identification of Nonlinear Mechanical Systems: State of the Art and Recent Trends 5 Force level: 67 N rms Gaëtan Kerschen Space Structures and Systems Laboratory Aerospace and

More information

Identification of crack parameters in a cantilever beam using experimental and wavelet analysis

Identification of crack parameters in a cantilever beam using experimental and wavelet analysis Identification of crack parameters in a cantilever beam using experimental and wavelet analysis Aniket S. Kamble 1, D. S. Chavan 2 1 PG Student, Mechanical Engineering Department, R.I.T, Islampur, India-415414

More information

Long-Term Monitoring and Analysis of a Curved Concrete Box-Girder Bridge

Long-Term Monitoring and Analysis of a Curved Concrete Box-Girder Bridge International Journal of Concrete Structures and Materials Vol.2, No.2, pp. 91~98, December 2008 Long-Term Monitoring and Analysis of a Curved Concrete Box-Girder Bridge Sungchil Lee, 1) Maria Q. Feng,

More information

System Parameter Identification for Uncertain Two Degree of Freedom Vibration System

System Parameter Identification for Uncertain Two Degree of Freedom Vibration System System Parameter Identification for Uncertain Two Degree of Freedom Vibration System Hojong Lee and Yong Suk Kang Department of Mechanical Engineering, Virginia Tech 318 Randolph Hall, Blacksburg, VA,

More information