Author

Ulrike Dackermann

Lecturer, University of New South Wales - Cited by 1,084 - Structural Dynamics - Structural Health Monitoring - Non-Destructive Testing - Artificial Intelligence - Timber Engineering

Biography

Specialization in Virtual Reality Technology, Data Engineering, Bioinformatics Techniques, Manufacturing, Computer Networks, Simulation and Visualization Effects, Machine Vision, Product Modeling, Communication Systems, Bionics, Genomics, Architecture, Image Processing, Information Theory and published article in “Limitation of the Lateral Angled Broadband Low Frequency Impact Excitation on the Non-Destructive Condition Assessment of the Timber Utility Poles”
Title
Cited by
Year
In situ assessment of structural timber using stress-wave measurements
U Dackermann, K Crews, B Kasal, J Li, M Riggio, F Rinn, T TannertMaterials and structures 47, 787-803, 2014201
126
2014
Damage identification in civil engineering structures utilizing PCA‐compressed residual frequency response functions and neural network ensembles
J Li, U Dackermann, YL Xu, B SamaliStructural Control and Health Monitoring 18 (2), 207-226, 2011201
120
2011
Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks
U Dackermann, WA Smith, RB RandallStructural health monitoring 13 (4), 430-444, 2014201
85
2014
A comparative study of using static and ultrasonic material testing methods to determine the anisotropic material properties of wood
U Dackermann, R Elsener, J Li, K CrewsConstruction and Building Materials 102, 963-976, 2016201
56
2016
Identification of member connectivity and mass changes on a two-storey framed structure using frequency response functions and artificial neural networks
U Dackermann, J Li, B SamaliJournal of Sound and Vibration 332 (16), 3636-3653, 2013201
50
2013
Elastic wave modes for the assessment of structural timber: Ultrasonic echo for building elements and guided waves for pole and pile structures
M Krause, U Dackermann, J LiJournal of Civil Structural Health Monitoring 5, 221-249, 2015201
48
2015
Wavelet packet energy–based damage identification of wood utility poles using support vector machine multi-classifier and evidence theory
Y Yu, U Dackermann, J Li, E NiederleithingerStructural Health Monitoring 18 (1), 123-142, 2019201
47
2019
Guided wave–based condition assessment of in situ timber utility poles using machine learning algorithms
U Dackermann, B Skinner, J LiStructural Health Monitoring 13 (4), 374-388, 2014201
41
2014
Location and severity identification of notch-type damage in a two-storey steel framed structure utilising frequency response functions and artificial neural network
B Samali, U Dackermann, J LiAdvances in Structural Engineering 15 (5), 743-757, 2012201
37
2012
Vibration behaviour of steel-timber composite floors, part (1): Experimental & numerical investigation
AA Chiniforush, MM Alamdari, U Dackermann, HR Valipour, ...Journal of Constructional Steel Research 161, 244-257, 2019201
30
2019
Condition assessment of foundation piles and utility poles based on guided wave propagation using a network of tactile transducers and support vector machines
U Dackermann, Y Yu, E Niederleithinger, J Li, H WiggenhauserSensors 17 (12), 2938, 2017201
24
2017
Cepstrum-based damage identification in structures with progressive damage
U Dackermann, WA Smith, MM Alamdari, J Li, RB RandallStructural Health Monitoring 18 (1), 87-102, 2019201
22
2019
Pattern recognition based on time series analysis using vibration data for structural health monitoring in civil structures
S Mustapha, Y Hu, K Nguyen, MM Alamdari, P Runcie, U Dackermann, ...Electronic Journal of Structural Engineering, 2015201
21
2015
Damage identification of a concrete arch beam based on frequency response functions and artificial neural networks
VV Nguyen, U Dackermann, J Li, MM Alamdari, S Mustapha, P Runcie, ...Electronic Journal of Structural Engineering 14 (1), 75-84, 151
20
2015
Condition assessment of timber utility poles based on a hierarchical data fusion model
Y Yu, U Dackermann, J Li, M SubhaniJournal of Computing in Civil Engineering 30 (5), 04016010, 2016201
17
2016
Application and improvement of conventional stress-wave-based non-destructive testing methods for the condition assessment of in-service timber utility poles
BJ Jozi, U Dackermann, RB Braun, JL Li, BS SamaliAustralasian Conference on the Mechanics of Structures and Materials, 202
14
2014
Novel hybrid method based on advanced signal processing and soft computing techniques for condition assessment of timber utility poles
Y Yu, M Subhani, U Dackermann, J LiJournal of Aerospace Engineering 32 (4), 04019032, 2019201
14
2019
A dynamic-based method for the assessment of connection systems of timber composite structures
U Dackermann, J Li, R Rijal, K CrewsConstruction and Building Materials 102, 999-1008, 2016201
13
2016
A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring
S Hassani, U DackermannSensors 23 (4), 2204, 2023202
13
2023
Dynamic response of steel-timber composite (STC) beams
AA Chiniforush, A Akbarnezhad, H Valipour, U Dackermann24th Int Congr Sound Vib, 2017201
11
2017

Referred From: https://scholar.google.com.au/citations?user=qs2X8x8AAAAJ&hl=en

Cited by
Citations 1084
h-index 17
i10-index 26
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