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Ulrike Dackermann
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In situ assessment of structural timber using stress-wave measurements
U Dackermann, K Crews, B Kasal, J Li, M Riggio, F Rinn, T Tannert
Materials and structures 47, 787-803, 2014
1222014
Damage identification in civil engineering structures utilizing PCA‐compressed residual frequency response functions and neural network ensembles
J Li, U Dackermann, YL Xu, B Samali
Structural Control and Health Monitoring 18 (2), 207-226, 2011
1162011
Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks
U Dackermann, WA Smith, RB Randall
Structural health monitoring 13 (4), 430-444, 2014
812014
Dynamic-Based Damage Identification Using Neural Network Ensembles and Damage Index Method
U Dackermann, J Li, B Samali
Advances in Structural Engineering 13 (6), 1001-1016, 2010
562010
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 Crews
Construction and Building Materials 102, 963-976, 2016
532016
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 Samali
Journal of Sound and Vibration 332 (16), 3636-3653, 2013
492013
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 Li
Journal of Civil Structural Health Monitoring 5, 221-249, 2015
452015
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 Niederleithinger
Structural Health Monitoring 18 (1), 123-142, 2019
442019
Guided wave–based condition assessment of in situ timber utility poles using machine learning algorithms
U Dackermann, B Skinner, J Li
Structural Health Monitoring 13 (4), 374-388, 2014
392014
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 Li
Advances in Structural Engineering 15 (5), 743-757, 2012
362012
Vibration-based damage identification in civil engineering structures utilising artificial neural networks
U Dackermann, J Li, B Samali, FC Choi, K Crews
Proceedings of the 12th International Conference on Structural Faults + …, 2008
30*2008
Vibration-based damage identification methods for civil engineering structures using artificial neural networks
U Dackermann
University of Technology Sydney, 2010
282010
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, 2019
242019
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 Wiggenhauser
Sensors 17 (12), 2938, 2017
242017
Cepstrum-based damage identification in structures with progressive damage
U Dackermann, WA Smith, MM Alamdari, J Li, RB Randall
Structural Health Monitoring 18 (1), 87-102, 2019
212019
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, 2015
202015
Determinations of Stress Wave Velocity in a Timber Pole using Wavelet Transform
MM Subhani, J Li, B Samali, U Dackermann
Proceeding of the 14th Asia Pacific Conference, 222-231, 2011
20*2011
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, 2015
192015
Condition assessment of timber utility poles based on a hierarchical data fusion model
Y Yu, U Dackermann, J Li, M Subhani
Journal of Computing in Civil Engineering 30 (5), 04016010, 2016
172016
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 Li
Journal of Aerospace Engineering 32 (4), 04019032, 2019
142019
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