Article
Construction & Building Technology
Xiao-Li Xie, Yang Huang, Xia Qin
Summary: The new type of single-tower cable-stayed arch cooperative system bridge proposed in this paper has greater stiffness compared to existing bridges with the same amount of steel. By using the main girder as a rigid tie bar to balance the arches' thrusts, the bridge becomes a thrustless structure with smaller axial forces.
ADVANCES IN STRUCTURAL ENGINEERING
(2021)
Article
Construction & Building Technology
Van-Thanh Pham, Yun Jang, Jong-Woong Park, Dong-Joo Kim, Seung-Eock Kim
Summary: In this study, a deep learning model using a multi-layer perceptron (MLP) and a graph neural network (GNN) is proposed for the damage identification of cables in a cable-stayed bridge. The model is able to capture complex nonlinear correlations between the vibration characteristics and the cable system damage. The results show that the proposed model achieves high accuracy in classification and satisfactory correlation coefficients in regression.
STEEL AND COMPOSITE STRUCTURES
(2022)
Article
Construction & Building Technology
Yanxiao Yang, Mubiao Su, Heng Liu
Summary: In the study, the effects of ambient temperature change, stiffness degradation of the main beam, and cable damage on the deflection of the main girder in a single-tower cable-stayed bridge under self-weight were investigated. The results showed that the deflection difference of the girder had obvious characteristics before and after cable damage, with a twisted distribution curve and increasing peak value. The deterioration of the girder's performance made the deflection more sensitive to cable damage. Ambient temperature change had a significant influence on the girder's deflection, but no obvious influence on the deflection difference before and after cable damage.
Article
Construction & Building Technology
Jianying Ren, Bing Zhang, Xinqun Zhu, Shaohua Li
Summary: A new two-step approach using Support Vector Machine is developed for damaged cable identification in a cable-stayed bridge. The approach includes constructing a Damaged Cable Identification Machine (DCIM) and a Damage Severity Identification Machine (DSIM) based on support vector classification and regression respectively. The proposed method is verified using a field cable-stayed bridge and has shown good generalization capability and anti-noise capability.
ADVANCES IN STRUCTURAL ENGINEERING
(2022)
Article
Engineering, Civil
Christos Aloupis, Harry W. Shenton, Michael J. Chajes
Summary: The Neutral Axis (NA) of a beam is a parameter used to detect damage and its position is influenced by the geometry of the cross-section and axial loads. Shifts in the NA position indicate changes in load distribution or geometric characteristics. For cable-stayed bridges, where inclined cables induce significant axial forces, the effect of axial loads on NA position is significant. A simplified analytical model was developed to simulate a cable-stayed bridge and calculate the NA position under a vertical point load. By changing element properties, the NA position behavior in different locations of the bridge can be observed to identify damage location.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Construction & Building Technology
Zengwu Liu, Jianting Zhou, Yuexing Wu, Xing You, Yinghao Qu
Summary: This article introduces the Yelang Lake Bridge, analyzes the construction control and height positioning equation before pouring of the arch ring segment, and evaluates two typical working conditions of pouring and cable tensioning. The study shows that the new type of cradle and loading test meet the requirements for long segment pouring of the arch ring, with measurement deviations within a reasonable range.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Engineering, Civil
Jiehua Yao, Bin Zeng, Zhen Zhou, Qingfang Zhang
Summary: This article proposes a damage identification method based on multi-node time-domain data fusion, and establishes a time-domain data library through finite element analysis. Two CNN models are used for identifying the damage location and degree of the cable-stayed arch-truss. The proposed method is verified through the analysis of a practical scale model, and the recognition effect on noisy and noise-free data is studied. The results show that CNN can effectively identify the damage degree and location with good robustness, and accurately predict the damage degree of the cable-stayed arch-truss with Gaussian noise within 15% error, meeting the engineering needs.
LATIN AMERICAN JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Article
Chemistry, Multidisciplinary
Yong Zeng, Huijun Zheng, Yuhang Jiang, Jiuhong Ran, Xuan He
Summary: This paper analyzes the dynamic characteristics of a cable-stayed bridge with single pylon and single cable plane in the maximum cantilever stage and the complete bridge. The effects of rigidity of main components, dip angles of stayed cables, supporting conditions, and locations of auxiliary piers on the sustainability of this type of cable-stayed bridge are studied.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Civil
Fei Wang, Zhong-da Lv, Min-jie Gu, Qin-kai Chen, Zhuo Zhao, Jun Luo
Summary: The study investigated the impact of axial forces generated by self-anchored suspension cable-stayed bridges on the main beam, as well as the stability of orthotropic steel box girders. Through model tests and axial compression tests, the stability and ultimate bearing capacity of the box girder structure were evaluated, leading to the conclusion that the model should be designed at a scale of 1:4.
THIN-WALLED STRUCTURES
(2021)
Article
Engineering, Civil
Christos Aloupis, Michael J. Chajes, Harry W. Shenton III
Summary: Structural Health Monitoring (SHM) systems can provide real-time insight into the condition of a bridge based on its response to various excitations. The proposed method suggests that considering the combined effect of constant dead loads and cyclic thermal loads is advantageous. By collecting a limited amount of response data due to these loads, their combined effect can be easily predicted.
ENGINEERING STRUCTURES
(2023)
Article
Construction & Building Technology
Salar Farahmand-Tabar, Majid Barghian
Summary: The study showed that cable-stayed arch bridges subjected to both horizontal and vertical components of earthquakes are more vulnerable than those subjected to horizontal ground motion only. Factors such as soil type, epicentral distance, spatial variation of ground motions, and structural dimensions were considered in the analysis.
ADVANCES IN STRUCTURAL ENGINEERING
(2021)
Article
Mechanics
Jose M. Machorro-Lopez, Martin Valtierra-Rodriguez, Juan P. Amezquita-Sanchez, Francisco J. Carrion-Viramontes, Juan A. Quintana-Rodriguez
Summary: A methodology combining Shannon entropy index, statistical indexes, and fuzzy logic classifier is proposed for detecting and locating cable losses in cable-stayed bridges. Experimental results show an effectiveness of 93.3% in damage detection and 100% in damage location using this method.
INTERNATIONAL JOURNAL OF APPLIED MECHANICS
(2021)
Review
Engineering, Multidisciplinary
Lixiao Zhang, Guoyang Qiu, Zhishou Chen
Summary: Cables are crucial components in cable-stayed bridges, and monitoring their tension is essential for ensuring bridge safety. This paper examines both traditional and innovative methods for monitoring cable force, including recent advancements in intelligent monitoring techniques. The conclusion provides insight for the future development of cable-stayed bridges.
Article
Chemistry, Multidisciplinary
Jaegyun Park, Jaeyong Yoon, Chulho Park, Jungwhee Lee
Summary: As the demand and construction of cable-stayed bridges have increased, research on the safety of cable-stayed bridges in the event of natural disasters such as fires and explosions is actively being conducted. This study evaluates the usability of the cable-stayed bridge in the event of cable damage and assesses its seismic performance and the impact of the damage through numerical analysis.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Civil
Jesus J. Yanez-Borjas, Jose M. Machorro-Lopez, David Camarena-Martinez, Martin Valtierra-Rodriguez, Juan P. Amezquita-Sanchez, Francisco J. Carrion-Viramontes, Juan A. Quintana-Rodriguez
Summary: This paper presents a methodology based on statistical features, Principal component analysis (PCA), and Mahalanobis distance (MD) for detecting and locating a cable loss in a bridge. Statistical time features (STFs) are extracted from vibration signals, analyzed using the autocorrelation function (ACF), and used to compute PCA-based models, followed by a new damage index based on MD for indicating the existence and location of damage.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2021)
Article
Engineering, Multidisciplinary
Michela Torti, Ilaria Venanzi, Simon Laflamme, Filippo Ubertini
Summary: Life-cycle cost analysis is a popular approach for civil infrastructure design, and can be leveraged for structures with structural health monitoring systems to quantify benefits and support long-term implementation. However, the long-term assessment for new structures regarding the impact of structural health monitoring systems on performance still requires ongoing research.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Eunjong Ahn, Hyunjun Kim, Seongwoo Gwon, Sung-Rok Oh, Cheol-Gyu Kim, Sung-Han Sim, Myoungsu Shin
Summary: This study evaluates the self-healing of in situ concrete members using a combination of air-coupled surface-wave and computer-vision techniques. Results show that specimens containing micro-capsules have superior healing performance compared to ordinary concrete specimens, with the healing rate strongly correlated with the change in crack area.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Mechanical
Vahid Barzegar, Simon Laflamme, Chao Hu, Jacob Dodson
Summary: This paper presents a deep learning algorithm specifically engineered for high-rate structural health monitoring applications, which utilizes an ensemble of recurrent neural networks with transfer learning capabilities to address uncertainties and non-stationarities in dynamic systems. The algorithm outperforms traditional methods in estimation accuracy while maintaining a fast computation time, demonstrating robustness to noise levels in training data.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Multidisciplinary
Jaebeom Lee, Seunghoo Jeong, Junhwa Lee, Sung-Han Sim, Kyoung-Chan Lee, Young-Joo Lee
Summary: This study proposes a new Bayesian method for directly monitoring the time-history deflections induced by high-speed trains on railway bridges. By training a monitoring model and deriving probability-based dynamic thresholds, abnormal deflection data can be detected and warnings generated.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Civil
Stefano Sacconi, Ilaria Venanzi, Laura Ierimonti, Michela Torti, Simon Laflamme, Filippo Ubertini
Summary: The use of integrated weigh-in-motion (WIM) systems in steel bridges can reduce the uncertainties related to load modelling in fatigue safety assessment. The collected WIM data helps to improve the evaluation of fatigue failure probability, enabling optimal scheduling of repair and maintenance activities, leading to improved safety and economic savings.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Construction & Building Technology
Zhe Wang, Laura Micheli, Filippo Ubertini, Simon Laflamme
Summary: Supplemental damping devices, such as tuned liquid column dampers (TLCDs), are effective in reducing vibrations and can be used to mitigate various hazards. This study focuses on a variation of TLCD called tuned liquid wall damper (TLWD), which distributes the liquid mass vertically into multiple columns within a structural shear wall, enabling higher frequency range mitigation. The optimal design of TLWD systems to mitigate nonsimultaneous wind and seismic hazards was investigated using a life-cycle cost objective function, and the results showed significant reductions in life-cycle cost compared to buildings without dampers.
JOURNAL OF STRUCTURAL ENGINEERING
(2022)
Article
Construction & Building Technology
Mohamed Noureldin, Ammad Ali, Sunghan Sim, Jinkoo Kim
Summary: This study proposes a new machine learning-based procedure for seismic design and qualitative assessment of structures. The procedure combines artificial neural network, fuzzy inference system, and ensemble bagged tree classification algorithm. The procedure provides qualitative assessment of structures based on their basic structural characteristics. The results of the procedure showed good agreement with nonlinear time history analyses and proved to be superior compared to conventional methods. The procedure also demonstrated potential in seismic design and assessment applications, with lower computational cost compared to traditional methods.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Chemistry, Analytical
Sdiq Anwar Taher, Jian Li, Jong-Hyun Jeong, Simon Laflamme, Hongki Jo, Caroline Bennett, William N. Collins, Austin R. J. Downey
Summary: This paper presents the field implementation of structural health monitoring (SHM) for fatigue cracks in steel bridge structures. It proposes a wireless large-area strain sensor (WLASS) and an associated algorithm to measure and process large-area strain data for fatigue crack monitoring. The effectiveness of the proposed algorithm and WLASS are validated through numerical investigation and field deployment.
Article
Engineering, Mechanical
Matthew Nelson, Vahid Barzegar, Simon Laflamme, Chao Hu, Austin R. J. Downey, Jason D. Bakos, Adam Thelen, Jacob Dodson
Summary: This paper studies algorithms for high-rate structural health monitoring (HRSHM) in high-rate systems. The proposed hybrid algorithm, which combines a data-driven predictive model with a physics-based state observer, shows faster convergence time compared to the physics-based algorithm under constant boundary conditions. However, the hybrid algorithm has lower convergence accuracy during motion of the boundary condition.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Chemistry, Analytical
Ganesh Kolappan Geetha, Hyun-Jung Yang, Sung-Han Sim
Summary: In this study, a computationally efficient scheme was proposed to track missing thin/propagating crack segments in DL-based crack identification on concrete surfaces. The scheme utilized image processing as a preprocessor and a postprocessor for a 1D DL model, eliminating labor-intensive labeling and capturing potential crack candidate regions. Iterative differential sliding-window-based local image processing was used as a postprocessor to track missing thin cracks on classified segments.
Article
Chemistry, Analytical
Mariusz Ostrowski, Bartlomiej Blachowski, Grzegorz Mikulowski, Lukasz Jankowski
Summary: This study investigates the influence of hardware limitations of a consumer-grade smartphone camera on the estimation of dynamic displacements, modal parameters, and stiffness parameters of bolted connections in a laboratory structure. The study compares the results obtained with the smartphone camera with those obtained with accelerometers and a laser distance sensor. The findings show that computer-vision-based measurements can identify lower-order vibration modes but introduce a systematic error.
Review
Chemistry, Analytical
Kunle S. S. Oguntoye, Simon Laflamme, Roy Sturgill, David J. J. Eisenmann
Summary: Accurately identifying and mapping buried utility assets is a challenging task in the construction industry. Current practices rely on costly and time-consuming methods, but with advances in AI, virtual sensing using robotics and logic can be utilized. This paper reviewed AI-based methods for mapping underground infrastructure and proposed a universal utility mapping model that can utilize limited data and knowledge.
Article
Construction & Building Technology
Junhwa Lee, Jinwoong Choi, Yooseong Shin, Sung-Han Sim
Summary: This study proposes a framework to estimate the subsurface ponding zone in bridge decks using ground-penetrating radar (GPR). The depth distribution of the nonpermeable layer in the subsurface of the bridge is extracted from the GPR C-scan and used to build a bathymetric dendrogram to model subsurface water flows. The subsurface ponding zone can be identified by considering drainage on the bathymetric dendrogram.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Article
Construction & Building Technology
Ali Turab Asad, Byunghyun Kim, Soojin Cho, Sung-Han Sim
Summary: This study aims to construct an accurate prediction model for long-term horizontal displacement under varying external environmental conditions to support the reliable assessment of bridge structures. To enhance prediction accuracy, the study models the relationship between current and past displacements, as well as critical influencing factors such as air temperature, thermal inertia, and solar radiation.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Article
Construction & Building Technology
Mariusz Ostrowski, Aleksandra Jedlinska, Blazej Poplawski, Bartlomiej Blachowski, Grzegorz Mikulowski, Dominik Pisarski, Lukasz Jankowski
Summary: The paper proposes and tests a sliding mode control method for semi-active vibration mitigation in frame structures. Control forces are generated in a dissipative manner using controllable structural nodes. Numerical experiments on a four-story shear structure showed an average reduction of vibration response by 48.4-78.4% depending on the number and placement of actuators. The proposed control method effectively mitigates vibrations in frame structures, reducing the peak mean amplitude at the first mode by up to 70.6-96.5%.
