Article
Chemistry, Analytical
Ruixiang Tang, Wenbing Chen, Yousong Wu, Hongbin Xiong, Banfu Yan
Summary: Digital image-correlation (DIC) algorithms heavily rely on accurate initial values from whole-pixel search algorithms for structural displacement monitoring. When the measured displacement is too large or exceeds the search domain, DIC algorithm's calculation time and memory consumption greatly increase, possibly leading to incorrect results. This study introduces two edge-detection algorithms, Canny and Zernike moments, in digital image-processing (DIP) to accurately determine structural displacement. Through numerical simulation, laboratory, and field tests, the study compares the accuracy and calculation speed of edge detection and DIC. Results show that edge detection is slightly less accurate and stable compared to the DIC algorithm. As the search domain of DIC increases, its calculation speed significantly decreases and is slower than the Canny and Zernike moment algorithms.
Article
Engineering, Geological
YuanHai Li, XiaoJie Tang, HongHu Zhu
Summary: Two algorithmic approaches were proposed for dealing with the difficulties in applying DIC for experimental measurement of geomaterials, focusing on deformation characteristics and achieving optimized results in terms of precision and speed. Through incorporating DIC and the acoustic emission system, uniaxial compression tests on rock-like materials were conducted to investigate the effectiveness of the methods.
Article
Chemistry, Analytical
Vladimir V. Bardakov, Artem Yu Marchenkov, Anton Yu Poroykov, Alexander S. Machikhin, Milana O. Sharikova, Natalya Meleshko
Summary: The study combines DIC and FEM for non-contact detection of defects in railway rails under dynamic loading, showing high sensitivity to fatigue cracks. The accurate model of defect-free rail operating at the same loading conditions provides a reliable reference for experimental data. The proposed DIC-FEM approach can be effectively used for remote control of rails and non-destructive testing of various other objects operating under dynamic loads.
Article
Engineering, Civil
M. S. Dizaji, M. Alipour, D. K. Harris
Summary: This paper introduces a novel method for detecting and reconstructing internal damage in structural members using structural health monitoring and digital image correlation techniques. Results demonstrate the successful extraction of detailed internal damage information, showing promise as a subsurface damage detection method.
ENGINEERING STRUCTURES
(2021)
Article
Chemistry, Multidisciplinary
Yu Han, Xugang Lian, Fan Wang, Haodi Fan
Summary: This study utilizes digital image monitoring technology to real-time monitor the deformation of slopes. The non-metric digital camera is calibrated using the Zhang Zhengyou calibration method. The sub-pixel algorithm is used to identify the center coordinates of landmarks, and the displacement trend of the slope is calculated by combining the specific displacement value. The outdoor experimental results show that the monitoring accuracy of this method can reach millimeter level.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Civil
Shuai Teng, Gongfa Chen, Shaodi Wang, Jiqiao Zhang, Xiaoli Sun
Summary: This paper presents a new approach for automatic classification of structural state through deep learning. By designing a Convolutional Neural Network (CNN), both the feature extraction and classification processes are integrated into an intelligent and efficient learning system, achieving the goal of detecting structural state on steel frames. The results demonstrate that CNN can extract structural state information from vibration signals with high accuracy and outperform the commonly used BPNN model in terms of training time and noise resistance.
FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING
(2022)
Article
Construction & Building Technology
M. Angelosanti, E. Curra, A. Sabato
Summary: Three-dimensional Digital Image Correlation (3D-DIC) is a popular technique for Structural Health Monitoring (SHM), but it is impractical for correlating natural frequencies and mode shapes of structures. Integration of Motion Magnification (MM) with 3D-DIC has been explored to enhance its capabilities, but the full potential of 3D-DIC in producing point-clouds with dynamic properties is not yet fully utilized. This research proposes a novel tool called M-DIC2BIM that translates the Scalar Fields (SFs) of the M-DIC point-cloud directly into the BIM model instances. It utilizes Building Information Modelling (BIM) as a repository and data management tool for SHM data.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Construction & Building Technology
Jun Hu, Ensheng Liu, Jiayu Yu
Summary: The combination of close-range photogrammetry technology and image recognition technology can effectively monitor structural deformation in engineering, improve measurement accuracy, and reduce errors. Experimental results show that the coordinate accuracy of the measuring points is good, and the errors generated under different load actions vary.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Mechanics
Tao Chen, Mao Ye, Cheng Yao, Zhigang Xiao
Summary: This study investigates the fatigue behavior of steel plates with mixed-mode I/II edge cracks repaired with CFRP sheets or plates. Experimental results show that double-sided CFRP repairing can significantly improve the fatigue life of specimens with mode I cracks. The finite element analysis achieves good consistency with the experimental results.
COMPOSITE STRUCTURES
(2023)
Article
Optics
V. F. Sciuti, R. B. Canto, J. Neggers, F. Hild
Summary: The study focused on the gray level conservation hypothesis in Digital Image Correlation (DIC) and proposed brightness and contrast corrections (BCCs) to deal with different sources of brightness changes. Through a case study on a refractory castable, it was found that BCCs significantly reduced gray level residuals, leading to better crack detection.
OPTICS AND LASERS IN ENGINEERING
(2021)
Article
Optics
Dan Wu, Wei Han
Summary: Digital image correlation (DIC) method is a direct and effective non-contact, full-field optical measurement method widely used in 2D/3D displacement and strain measurement of materials and structures. In this paper, the blind deconvolution method was used to restore the blurred speckle image and Gaussian filtering was applied to solve the noise problem in order to improve the measurement accuracy of DIC. Experimental results on indium tin oxide (ITO) films showed a 13.91% reduction in the error of measured elastic modulus after image restoration, indicating an effective improvement in measurement accuracy.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Optics
Zhenyu Jiang
Summary: OpenCorr is an open source C++ library that provides full-function modules of 2D and stereo DIC, as well as digital volume correlation (DVC) for research and development of DIC technology. Its sophisticated design makes it developer-friendly, allowing users to quickly create DIC software for specific applications and develop new algorithms. The library's computation speed has been evaluated and shown to be superior. OpenCorr has gained significant interest from the academic and industrial communities, driving the advancement and spread of DIC technology.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Chemistry, Multidisciplinary
Yuankun Lin, Pinbo Huang, Zihao Ni, Shengli Xie, Yulei Bai, Bo Dong
Summary: This study developed a method using a single monochrome high-speed camera to measure both in-plane and out-of-plane full-field vibrations without sacrificing spatial resolution. The method extracts the out-of-plane displacement field from the measured virtual in-plane strains using a high-speed camera and a 2D digital image correlation (2D-DIC) algorithm. The in-plane displacement field is then retrieved after eliminating the motion-induced virtual component. Validation tests and experiments showed good agreement with reference values, indicating the effectiveness of the proposed high-speed 2D-DIC method.
APPLIED SCIENCES-BASEL
(2023)
Article
Optics
Chuanguo Xiong, Yuhan Gao, Yuhua Huang, Fulong Zhu
Summary: In this study, a projected-speckle deflectometry based on the digital image correlation technique is proposed to solve the issues of out-of-focus image acquisition and ambient light interference in traditional deflectometry techniques. The measurement accuracy of the system is validated through quantitative deformation experiments and comparison with other measurement methods. The effects of projector vibration, electronic noise, and out-of-plane movements on measurement results are also analyzed.
OPTICS AND LASERS IN ENGINEERING
(2023)
Article
Environmental Sciences
Xiangjun Pei, Shenghua Cui, Ling Zhu, Luguang Luo, Jianlong Cheng, Hui Wang, Ruifeng Du, Qingwen Yang
Summary: Determining the localized deformation mechanism is crucial for understanding the failure processes of geomaterials in practical engineering. In this study, uniaxial monotonic and cyclic loading tests were conducted on slate samples, and the failure processes were recorded using the AE system and digital image correlation. The results show that the deformation field variance significantly increases during the initiation of macro-scale failure stage. Under cyclic loading, the shape of the stress-variance hysteresis curve varies with increasing upper limit stress, and four types of stress-variance hysteresis curves were revealed. The analysis of damage variables' evolution reveals different stages in the rock failure process and apparent failure precursor points under monotonic and cyclic loading were found using the differentiation rate.
ENVIRONMENTAL EARTH SCIENCES
(2023)
Article
Mechanics
M. R. T. Arruda, J. Pacheco, Luis M. S. Castro, E. Julio
Summary: This paper presents a modified Mazars damage model, based on a strain formulation, for the physically nonlinear analysis of concrete structures. The model regularizes the evolution laws of tension and compression damage, and introduces stress-strain relations similar to those in fib Model Code 2010. The model is validated with experimental and numerical tests, and implemented in the software ABAQUS.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Construction & Building Technology
Judite Miranda, Jonatas Valenca, Hugo Costa, Eduardo Julio
Summary: This paper introduces a method for repairing concrete heritage, which includes chromatic characterization through image processing and the design of customized restoration mortars. The study shows that this method can achieve the desired compatibility between the original surface and the restoration mortar.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Engineering, Civil
Rui Graca-e-Costa, Faisal M. Mukhtar, Daniel Dias-da-Costa
Summary: The performance of concrete structures strengthened with carbon fiber-reinforced polymer (CFRP) systems is influenced by the bond strength between concrete and the reinforced polymer. This paper introduces a reliable model based on a discrete representation of fracture and validates it through experimental tests.
JOURNAL OF COMPOSITES FOR CONSTRUCTION
(2022)
Article
Engineering, Mechanical
Jahangir Alam, Luis A. C. Neves, Hao Zhang, Daniel Dias-da-Costa
Summary: This study proposes a framework for reliability-based remaining service life prediction of deteriorated structures, considering both aleatory and epistemic uncertainties separately, with a real reinforced concrete bridge example showing the importance of considering epistemic uncertainty in decision-making.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Civil
Yuye Zhang, Yuhao Li, Wei Fan, Daniel Dias-da-Costa
Summary: This study evaluates the seismic damage of prestressed segmental bridge columns (PSBCs) and establishes a suitable damage model for PSBCs. A framework is proposed to enable quantitative assessment of the seismic damage using both experimental and numerical analyses of PSBCs. The study develops an improved damage model based on the Park-Ang model, incorporating residual displacement and cumulative energy dissipation. Numerical simulations and statistical analysis of 40 specimens are conducted to obtain empirical equations for the combination coefficient. The proposed model is verified through quasi-static loading tests, demonstrating good agreement with the damage development process in tested PSBCs.
Article
Computer Science, Interdisciplinary Applications
Mohsen Ebrahimzadeh Hassanabadi, Zihao Liu, Saeed Eftekhar Azam, Daniel Dias-da-Costa
Summary: This paper proposes a linear recursive Bayesian filter, named universal filter (UF), for joint input and state estimation of structural systems. The UF can estimate unknown inputs without assuming any fictitious input model or statistics, and is applicable to systems with and without direct feedthrough, including systems with a rank-deficient feedforward matrix. The UF outperforms the augmented Kalman filter (AKF) and does not require tuning of hyperparameters for inputs.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Construction & Building Technology
Joaquim Barros, Beatriz Sanz, Marcilio Filho, Fabio Figueiredo, Petr Kabele, Rena C. C. Yu, Guenther Meschke, Jaime Planas, Vitor Cunha, Antonio Caggiano, Niluefer Ozyurt, Ventura Gouveia, Ab van den Bos, Elisa Poveda, Erez Gal, Jan Cervenka, Gerrit E. Neu, Pierre Rossi, Daniel Dias-da-Costa, Peter K. Juhasz, David Cendon, Gonzalo Ruiz, Tiago Valente
Summary: This article describes the second blind simulation competition (BSC) organized by the fib WG 2.4.1 for assessing the predictive performance of FEM-based models in the analysis and design of FRC structures. The chosen structural system, a hybrid FRC shallow beam supported on columns or piles, demonstrates the potential of FRC in such applications and evaluates the accuracy of computational models. The experimental results obtained from testing two shallow beams are presented, including applied loads, strain measurements, and crack widths, as well as the rules and outcomes of the competition.
STRUCTURAL CONCRETE
(2023)
Article
Green & Sustainable Science & Technology
Keila Robalo, Hugo Costa, Ricardo Carmo, Eduardo Julio
Summary: Ultra-High-Performance Concrete (UHPC) is a durable and high-strength material used in aggressive environments. However, its production involves high dosages of cement and silica fume, increasing cost and environmental impact. This study aims to develop eco-ultra-high-durability concrete (eco-UHDC) with optimized matrix, considering factors such as cement replacement ratio, binder additions, water/binder ratio, and fiber type. The developed eco-UHDC has shown good workability, mechanical properties, and durability, with the potential for reduced cover thickness in structures.
Review
Construction & Building Technology
Muhammad Basit Ehsan Khan, Daniel Dias-da-Costa, Luming Shen
Summary: This paper reviews the factors that significantly affect the self-healing performance of bacteria-based cementitious composites, including the selection of fundamental constituents such as bacteria, nutrient, and carrier compounds, as primary factors. It also identifies several novel factors such as crack orientation, loading conditions, and exposure conditions as secondary contributing factors, which have been overlooked in the literature in terms of their effect on the healing performance. Finally, the paper outlines the limitations of current studies, challenges in the practical application of bacteria-based cementitious composites, and future research perspectives.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Green & Sustainable Science & Technology
Elyas Asadi Shamsabadi, Masoud Salehpour, Peyman Zandifaez, Daniel Dias-da-Costa
Summary: A multicollinearity-aware multi-objective optimisation (MA-MOO) framework was developed to minimize environmental issues and production cost of green concrete, while maintaining compressive strength. This was achieved using machine learning and a novel set of constraints to eliminate multicollinearity. Testing the framework with a dataset of 2644 concrete mixes, the extreme gradient boosting machine (XGBM) achieved the best performance (RMSE 4.3 MPa). The framework allowed for the design of mixes with significantly reduced production cost and environmental impact.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Jonatas Valenca, Claudia Ferreira, Andre G. Araujo, Eduardo Julio
Summary: The use of computer vision-based architectures and synthetic image datasets can improve the application in structural monitoring, product and material testing, and quality control.
Article
Environmental Sciences
Marta Torres-Gonzales, Jonatas Valenca, Bruno O. Santos, Ana Silva, Maria P. Mendes
Summary: The new Construction 4.0 paradigm utilizes existing technologies and image-based methods for evaluating and monitoring the state of conservation of buildings have shown significant growth. This paper presents the StainView method, which allows for the automatic location and mapping of critical areas in facades, as well as the identification of materials and characterization of colors. The method has been validated and proven to be a useful tool for building inspection.
Article
Construction & Building Technology
Judite Miranda, Jonatas Valenca, Hugo Costa, Eduardo Julio
Summary: In the restoration of exposed concrete buildings, the compatibility between repair mortars and the original concrete surface is important, especially for smooth white concrete surfaces. This article presents a methodology that uses image processing to characterize the concrete surface and designs a customized restoration mortar with added pigment. The methodology was validated in a white concrete building in Portugal and successfully achieved chromatic and finishing compatibility.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Engineering, Mechanical
Jahangir Alam, Hao Zhang, Luis A. C. Neves, Daniel Dias-da-Costa
Summary: This paper proposes a new method for time-variant reliability analysis of existing ageing structures under epistemic uncertainty. The method quantifies reliability by sequentially updating the reliability interval using inspection data acquired over the service period, while considering the ageing changes of distribution parameters. The results show that the proposed method can provide narrower uncertainty bounds for reliability interval estimation, particularly when relatively sparse inspection datasets are available.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)