A Two-Step Structural Damage Detection Approach With Limited Instrumentation

1997 ◽  
Vol 119 (2) ◽  
pp. 258-264 ◽  
Author(s):  
Hyoung M. Kim ◽  
T. J. Bartkowicz
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
A Priori ◽  
Design Sensitivity ◽  
Math Model ◽  
Detection Approach ◽  
Expansion Technique ◽  
Model Update ◽  
Priori Information ◽  
Model Correlation

This paper describes a two-step damage detection and health monitoring approach that was developed for large and complex structures with a limited number of measurements. The first step identifies a general area of structural damage using the optimal model update method and a hybrid model reduction/eigenvector expansion technique. The second step locates a specific damaged structural component using a design sensitivity technique based on a priori information from the first damage detection step. Performance of the proposed damage detection approach was demonstrated with testing and analysis of a ten-bay hexagonal truss structure. Procedures developed for the damage detection are also directly applicable to test/dynamic math model correlation when the number of measurements is limited.

An intelligent structural damage detection approach based on self-powered wireless sensor data

2016 ◽  
Vol 62 ◽  
pp. 24-44 ◽  
Author(s):  
Amir H. Alavi ◽  
Hassene Hasni ◽  
Nizar Lajnef ◽  
Karim Chatti ◽  
Fred Faridazar
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Structural Damage Detection ◽  
Detection Approach ◽  
Self Powered

A structural damage detection approach using train-bridge interaction analysis and soft computing methods

2014 ◽  
Vol 13 (5) ◽  
pp. 869-890 ◽  
Author(s):  
Xingwen He ◽  
Mitsuo Kawatani ◽  
Toshiro Hayashikawa ◽  
Chul-Woo Kim ◽  
F. Necati Catbas ◽  
...  
Keyword(s):  
Damage Detection ◽  
Soft Computing ◽  
Structural Damage ◽  
Interaction Analysis ◽  
Computing Methods ◽  
Structural Damage Detection ◽  
Detection Approach ◽  
Soft Computing Methods

scholarly journals Predicting forest stand variables from airborne LiDAR data using a tree detection method in Central European forests

2019 ◽  
Vol 65 (3-4) ◽  
pp. 191-197 ◽  
Author(s):  
Ivan Sačkov ◽  
Ľubomír Scheer ◽  
Tomáš Bucha
Keyword(s):  
Accuracy Assessment ◽  
A Priori ◽  
Forest Stand ◽  
Airborne Lidar ◽  
Individual Tree ◽  
Tree Detection ◽  
Detection Approach ◽  
Mean Diameter ◽  
Priori Information ◽  
The Individual

Abstract In this study, the individual tree detection approach (ITD) was used to estimate forest stand variables, such as mean height, mean diameter, and total volume. Specifically, we applied the multisource-based method implemented in reFLex software (National Forest Centre, Slovakia) which uses all the information contained in the original point cloud and a priori information. For the accuracy assessment, four reference forest stands with different types of species mixture and the area of 7.5 ha were selected and measured. Furthermore, independent measurements of 1 372 trees were made for the construction of allometric models. The author’s ITD-based method provided slightly more accurate estimations for stands with substantial or moderate dominance of coniferous trees. However, no statistically significant effect of species mix on the overall accuracy was confirmed (p < 0.05). The root mean square error did not exceed 1.9 m for mean height, 3.0 cm for mean diameter, and 12.88 m3 ha−1 for total volume.

Reformulation of elemental modal strain energy method based on strain modes for structural damage detection

2016 ◽  
Vol 20 (6) ◽  
pp. 896-905 ◽  
Author(s):  
Shaoqing Wu ◽  
Jixiang Zhou ◽  
Sheng Rui ◽  
Qingguo Fei
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Strain Energy ◽  
Degrees Of Freedom ◽  
Experimental Models ◽  
Structural Damage Detection ◽  
Modal Strain Energy ◽  
Modal Expansion ◽  
Displacement Mode ◽  
Detection Approach

Structural damage detection method based on modal strain energy usually requires information at every degree of freedom. Due to the limited number of sensors and the difficulty in measuring rotational vibration, modal expansion is often adopted to match the degrees of freedom between the analytical and experimental models, which introduces errors. A novel modal strain energy–based structural damage detection approach is proposed in which the elemental modal strain energy is reformulated with strain modes. The method is introduced on an Euler–Bernoulli beam with uniform cross section. Only strain data are adopted in the newly proposed method and no rotational information of the structure is required. The numerical simulations and experimental validations are conducted to demonstrate the effectiveness of the proposed method. The results show that the proposed method has a better performance than the modal strain energy–based structural damage detection approach with displacement mode and modal expansion technique.

Efficient swept sine chirp excitation in the non-linear vibro-acoustic wave modulation technique used for damage detection

2017 ◽  
Vol 17 (3) ◽  
pp. 565-576 ◽  
Author(s):  
Kajetan Dziedziech ◽  
Lukasz Pieczonka ◽  
Maciej Adamczyk ◽  
Andrzej Klepka ◽  
Wieslaw J Staszewski
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Crack Detection ◽  
A Priori ◽  
Low Frequency ◽  
Experimental Tests ◽  
Harmonic Excitation ◽  
Modulation Technique ◽  
Low Frequency Vibration ◽  
Non Linear

In this article, the non-linear vibro-acoustic modulation technique is used for structural damage detection. A new experimental configuration and data processing strategy are proposed to improve the damage detection capability of the technique. The swept sine chirp excitation is used for both low-frequency vibration/modal and high-frequency ultrasonic excitations. The adaptive resampling procedure is then applied to extract information about modulation intensity that relates to damage. The proposed method is illustrated using numerical simulations and experimental tests. The latter involves crack detection in an aluminium beam. The results of the proposed method are compared with the classical approach based on single harmonic excitation, demonstrating that similar damage detection information can be extracted. However, the major advantage of the proposed method is simplicity and robustness since no a priori selection of excitation frequencies is needed. As a result, crack detection is more reliable and unambiguous.

Non-baseline method for damage detection in truss structures using displacement and strain measurements

2018 ◽  
Vol 22 (3) ◽  
pp. 818-830 ◽  
Author(s):  
Peng Ren ◽  
Zhi Zhou ◽  
Jinping Ou
Keyword(s):  
Damage Detection ◽  
Structural Damage ◽  
Experimental Studies ◽  
Measurement Data ◽  
Element Model ◽  
Truss Structures ◽  
Detection Methods ◽  
Detection Approach ◽  
Potential Development ◽  
System States

Realistic problems restrict the application of many existing structural damage detection methods. Due to the requirement of a comparison between two system states, lack of appropriate baseline data may become one of the limitations to undertake structural health monitoring strategy. This article suggests a non-baseline damage detection approach based on the mixed measurements and the transmissibility concept and demonstrates it in truss structures. The algorithm uses the measurement data from the strains of the truss elements and the displacements of the truss joints, in which the displacements are utilized to estimate the baseline strains based on the transmissibility matrix from an initial finite element model. Wavelet-based damage-sensitive features are extracted from both estimated and measured strains to detect damages of the target elements. Numerical and experimental studies are performed to investigate the feasibility and effectiveness of the proposed approach. It is concluded from the instances that the robustness of the algorithm is realized when handling the measurement noise, modeling errors and the operational condition variability. These permit the potential development of the damage detection method for real structures in site.

Sign in / Sign up

Export Citation Format

Share Document