4.7 Article

Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing

Journal

ENGINEERING STRUCTURES
Volume 81, Issue -, Pages 432-443

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.engstruct.2014.10.010

Keywords

Medium-span bridge; Global Navigation Satellite System; Dynamic displacements; Vibration frequencies; Multimode adaptive filter; Accelerometer

Funding

  1. National Natural Science Foundation of China [50908083]

Ask authors/readers for more resources

Global Navigation Satellite System (GNSS) positioning technology has been employed in the dynamic monitoring of long-span bridges in the recent years. However, it has difficulties to meet the higher accuracy requirements of the dynamic monitoring of small or medium span bridges, due to the presence of measurement noise from multipath, cycle slips, ionosphere delay, orbital errors, etc. To verify the feasibility of using current GNSS technology to monitor these bridges, a series of monitoring experiments have been carried out on the Wilford suspension bridge in Nottingham (UK) with GNSS and a triaxial accelerometer. Three GNSS data processing modes, i.e. Real-Time Kinematic (RTK), network RTK and Post-Processing Kinematic (PPK), were considered. An innovative multimode adaptive filtering (MAF) that combining adaptive filter with Chebyshev highpass filter was used to identify the dynamic displacements of the bridge from the multimode GNSS data. To validate the GNSS results, the dynamic displacements were also computed from double integration of the accelerometer-measured accelerations. The differences of the displacements between the GNSS and accelerometer results were obtained. The standard deviation and the mean deviation of these differences are less than 1 mm, which is good enough for the monitoring purposes. The modal frequencies of the bridge can be accurately identified from GNSS measurements, and successfully validated by those from the accelerometer data. Using the multimode GNSS data and the proposed the MAP algorithm, with sub-millimeter level accuracy GNSS can be used to monitor the vibration response of small or medium span bridges as well as long-span bridges. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Multidisciplinary

Bridge monitoring using multi-GNSS observations with high cutoff elevations: A case study

Ruijie Xi, Qiyi He, Xiaolin Meng

Summary: The study demonstrates that integrated GPS/BDS/GLONASS provides the highest precision in bridge monitoring, especially with high cutoff elevations due to the availability of more satellites and strongest satellite geometry. Further experiments conducted show that incorporating GPS/BDS/GLONASS at a cutoff elevation of 40 degrees allows for extremely accurate extraction of displacement and vibration signals in bridge monitoring applications.

MEASUREMENT (2021)

Article Environmental Sciences

The Extraction of Street Curbs from Mobile Laser Scanning Data in Urban Areas

Leyang Zhao, Li Yan, Xiaolin Meng

Summary: This study introduces an algorithm for extracting street curbs from mobile LiDAR data to address complex scenarios and improve the accuracy and reliability of the extraction results.

REMOTE SENSING (2021)

Article Environmental Sciences

Modal Parameters Identification of Bridge Structures from GNSS Data Using the Improved Empirical Wavelet Transform

Zhen Fang, Jiayong Yu, Xiaolin Meng

Summary: The proposed method based on improved empirical wavelet transform was able to accurately identify the modal parameters of bridge structures using GNSS data. Experimental validations showed the feasibility and reliability of this method in identifying the dynamic deformation of bridges.

REMOTE SENSING (2021)

Article Engineering, Electrical & Electronic

Event Camera Point Cloud Feature Analysis and Shadow Removal for Road Traffic Sensing

Xiao Lu, Xuning Mao, Haiqing Liu, Xiaolin Meng, Laxmisha Rai

Summary: Event cameras have wide applications in traffic flow detection due to their accurate identification of moving targets and insensitivity to stationary targets. In this study, an event camera is used in a roadside scenario to collect point cloud data, and a method for traffic target identification and shadow removal based on feature analysis is proposed. Experimental results show significant differences among different traffic targets, with the proposed method achieving a high accuracy of 96.5%.

IEEE SENSORS JOURNAL (2022)

Article Environmental Sciences

Modelling and Assessment of Single-Frequency PPP Time Transfer with BDS-3 B1I and B1C Observations

Shengli Wang, Yulong Ge, Xiaolin Meng, Pengli Shen, Kaidi Wang, Fuyang Ke

Summary: This study develops two SF PPP time transfer models using BDS-3 signals and compares their performance. The ionospheric constraint SF1 model outperforms the SF2 model. SF1 achieves a statistical uncertainty of less than 1 nanosecond and exhibits improved frequency stability compared to B1I observations.

REMOTE SENSING (2022)

Article Environmental Sciences

Intelligent Control of Building Operation and Maintenance Processes Based on Global Navigation Satellite System and Digital Twins

Zhansheng Liu, Guoliang Shi, Xiaolin Meng, Zhe Sun

Summary: This study established a method for achieving intelligent control of building operation and maintenance processes by integrating Global Navigation Satellite System (GNSS) with Digital Twins (DTs) techniques. The method includes capturing dynamic information, establishing a DT model, setting up data management mechanism, and formalizing an intelligent decision control platform. Results show that the proposed GNSS-DTs-based method can help achieve intelligent control of large building O&M processes.

REMOTE SENSING (2022)

Article Environmental Sciences

A Rigorous Feature Extraction Algorithm for Spherical Target Identification in Terrestrial Laser Scanning

Ronghua Yang, Jing Li, Xiaolin Meng, Yangsheng You

Summary: This paper proposes a rigorous estimation algorithm based on least squares configurations for the precise extraction of spherical target features from laser point clouds. By emphasizing the correlation between spherical parameters, the accuracy of estimating sphere centers is improved compared to classical algorithms.

REMOTE SENSING (2022)

Article Environmental Sciences

A Novel Slow-Growing Gross Error Detection Method for GNSS/Accelerometer Integrated Deformation Monitoring Based on State Domain Consistency Theory

Ao Sun, Qiuzhao Zhang, Zhangjun Yu, Xiaolin Meng, Xin Liu, Yunlong Zhang, Yilin Xie

Summary: This study proposes a method based on state-domain consistency theory for gross error detection in GNSS/accelerometer integrated deformation monitoring. By constructing state test statistics and performing gross error identification directly in the state domain, this method does not need to consider the dimensional change in the observation matrix, making it more applicable.

REMOTE SENSING (2022)

Article Multidisciplinary Sciences

Intelligent Health Monitoring of Cable Network Structures Based on Fusion of Twin Simulation and Sensory Data

Guoliang Shi, Zhansheng Liu, Xiaolin Meng, Zeqiang Wang

Summary: This study proposes an intelligent method for the health monitoring of cable network structures, based on the fusion of twin simulation and sensory data. It establishes a high-fidelity twin model using genetic algorithm and captures the key components of the structure using Bayesian probability formula and multiple mechanical parameters. The feasibility and effectiveness of the proposed method are validated through a case study on the Speed Skating Gymnasium of 2022 Winter Olympic Games.

SYMMETRY-BASEL (2023)

Article Engineering, Electrical & Electronic

A Novel GNSS Fault Detection and Exclusion Method for Cooperative Positioning System

Chen Zhuang, Hongbo Zhao, Shan Hu, Xiaolin Meng, Wenquan Feng

Summary: This paper proposes a novel distributed fault detection and exclusion method based on cooperative reliability information, which is suitable for cooperative positioning system in connected vehicles. By considering the consistency of satellite signals and reliability information from nearby cooperators, multiple faulty satellites can be accurately excluded. Experimental results demonstrate the superiority of the proposed method in excluding multiple faults over existing methods.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2023)

Article Environmental Sciences

Outlier Detection Based on Nelder-Mead Simplex Robust Kalman Filtering for Trustworthy Bridge Structural Health Monitoring

Liangliang Hu, Yan Bao, Zhe Sun, Xiaolin Meng, Chao Tang, Dongliang Zhang

Summary: Structural health monitoring (SHM) is essential for the safety of aging bridges. Global Navigation Satellite Systems (GNSS) can provide valuable spatiotemporal information for effective bridge structural health monitoring (BSHM), but GNSS measurements often have outliers that can significantly affect the accuracy and reliability of BSHM. Previous studies have explored the integration of multi-rate Kalman filter (MKF) with adaptive algorithms for accurate BSHM, but frequent parameter adjustments are still required. This study proposes an outlier detection method using a robust multi-rate Kalman filter (RMKF) to improve the accuracy of BSHM using GNSS and accelerometer data.

REMOTE SENSING (2023)

Article Environmental Sciences

Multi-GNSS Differential Inter-System Bias Estimation for Smartphone RTK Positioning: Feasibility Analysis and Performance

Rui Shang, Chengfa Gao, Lu Gan, Ruicheng Zhang, Wang Gao, Xiaolin Meng

Summary: This study investigates the temporal behaviors of differential inter-system bias (DISB) and implements an inter-system model for smartphones based on the research of receiver channel-dependent bias. Experimental results show that the CDMA systems' frequencies are free of receiver channel-dependent phase bias, providing opportunities for further interoperability. There is no phase DISB between GPS L1/QZSS L1 and BDS-2 B1I/BDS-3 B1I, but there is obvious phase DISB between GPS L1 and Galileo E1.

REMOTE SENSING (2023)

Article Green & Sustainable Science & Technology

The Digital Twin Modeling Method of the National Sliding Center for Intelligent Security

Zhansheng Liu, Xiaotao Sun, Zhe Sun, Liang Liu, Xiaolin Meng

Summary: There are some problems in the security management of large stadiums, and an intelligent security system based on the digital twin concept is proposed to improve the efficiency of security management. The modeling method combines physical and virtual models to analyze and control the security management process of buildings, enhancing the integration and intelligence of the security system.

SUSTAINABILITY (2023)

Review Green & Sustainable Science & Technology

A Critical Review for Trustworthy and Explainable Structural Health Monitoring and Risk Prognosis of Bridges with Human-In-The-Loop

Zhe Sun, Tiantian Chen, Xiaolin Meng, Yan Bao, Liangliang Hu, Ruirui Zhao

Summary: Trustworthy and explainable structural health monitoring (SHM) is crucial for ensuring the safe maintenance and operation of deficient bridges. However, existing methods face challenges in terms of cognitive, technical, and decision-making processes. The development of sensing devices and technologies enables intelligent data acquisition and processing, but human involvement introduces redundancies and errors that affect the reliability of SHM and bridge safety. Understanding human-cyber reliability issues is necessary to ensure reliable SHM.

SUSTAINABILITY (2023)

Article Construction & Building Technology

Intelligent Risk Prognosis and Control of Foundation Pit Excavation Based on Digital Twin

Zhe Sun, Haoyang Li, Yan Bao, Xiaolin Meng, Dongliang Zhang

Summary: This study aims to establish an intelligent risk prognosis and control framework based on digital twin (DT) for ensuring safe and effective foundation pit excavation (FPE) processes. The authors have established a DT model that consists of a physical space model and a high-fidelity physics-based model in virtual space, enabling the interaction and feedback mechanisms between the physical and virtual space. They have also proposed an integrated model and data-driven approach for examining safety risks during FPE.

BUILDINGS (2023)

Article Engineering, Civil

Experimental study on the seismic performance of a full-scale two-story traditional timber frame on sloped land

Renbing An, Jiacong Yuan, Yi Pan, Duhang Yi

Summary: Traditional timber structures built on sloped land are more susceptible to seismic damage compared to structures built on flat land. The upper portion of the structure is found to be the weak point on sloped land, with potential issues such as tenon failure and column foot sliding.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Human-induced vibrations of floors: A probabilistic approach

Elyas Bayat, Federica Tubino

Summary: The current design guidelines for assessing floor vibration performance do not consider the influence of variability in the walking path on the dynamic response of floors. This study investigates the dynamic response of floors under a single pedestrian walking load, taking into account the randomness of the walking path and load. The effectiveness of the current guidelines in predicting floor response is critically assessed.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Seismic behavior of repairable columns with UHPC segments and replaceable buckling-restrained energy dissipaters

Gao Ma, Chunxu Hou, Hyeon-Jong Hwang, Linghui Chen, Zhenhao Zhang

Summary: Minimizing earthquake damage and improving repair efficiency are the main principles of resilient structures. This study proposed a repairable column with UHPC segments and replaceable energy dissipaters. The test results showed that the columns with UHPC segments and replaceable dissipaters exhibited high strength, deformation capacity, and energy dissipation.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Experimental and numerical analysis of the compression behavior of aluminum syntactic foams reinforced with alumina hollow particles

Kartheek S. M. Sonti, Pavan Kumar Penumakala, Suresh Kumar Reddy Narala, S. Vincent

Summary: In this study, the compressive behavior of alumina hollow particles reinforced aluminum matrix syntactic foams (AMSF) was investigated using analytical, numerical, and experimental methods. The results showed that the FE solver ABAQUS could accurately predict the elastic and elastio-plastic behavior of AMSFs. The study also suggested that FE models have great potential in developing new materials and composites under compression loading.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Statistical modeling and reliability analysis of large-scale multi-tendon fiber-reinforced polymer cables

Zheqi Peng, Xin Wang, Zhishen Wu

Summary: In this study, the statistical modeling of fiber-reinforced polymer (FRP) cables using the classic fiber bundle model is explored. The study considers important features of large-scale multi-tendon FRP cables, such as initial random slack and uneven tensile deformation among tendons. A parametric study and reliability analysis are conducted to predict the load-displacement relation and design thousand-meter-scale FRP cables. The study emphasizes the relation between the reliability index beta of the cable and the safety factor gamma of the FRP material.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

A modal-based method for blast-induced damage assessment of reinforced concrete columns: Numerical and experimental validation

Yanchao Shi, Shaozeng Liu, Ye Hu, Zhong-Xian Li, Yang Ding

Summary: This paper introduces a damage assessment method for reinforced concrete (RC) columns under blast loading, using modal parameter measurement as the evaluation index. The validity of the proposed method is validated through numerical and experimental analysis. The results show that this modal-based damage assessment method is applicable for non-destructive evaluation of blast-induced damage of RC columns.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

An efficient framework for structural seismic collapse capacity assessment based on an equivalent SDOF system

Xiaolin Zou, Maosheng Gong, Zhanxuan Zuo, Qifang Liu

Summary: This paper proposes an efficient framework for assessing the collapse capacity of structures in earthquake engineering. The framework is based on an accurate equivalent single-degree-of-freedom (ESDOF) system, calibrated by a meta-heuristic optimization method. The proposed framework has been validated through case studies, confirming its accuracy and efficiency.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Rapid peak seismic response prediction of two-story and three-span subway stations using deep learning method

Jie Hu, Weiping Wen, Chenyu Zhang, Changhai Zhai, Shunshun Pei, Zhenghui Wang

Summary: A deep learning-based rapid peak seismic response prediction model is proposed for the most common two-story and three-span subway stations. The model predicts the peak seismic responses of subway stations using a data-driven approach and limited information, achieving good predictive performance and generalization ability, and demonstrating significantly higher computational efficiency compared to numerical simulation methods.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Simplified earthquake response analysis of rectangular liquid storage tanks considering fluid-structure interactions

Jin Ho Lee, Jeong-Rae Cho

Summary: A simplified model is proposed to estimate the earthquake responses of a rectangular liquid storage tank considering the fluid-structure interactions. The complex three-dimensional structural behavior of the tank is represented by a combination of fundamental modes of a rectangular-ring-shaped frame structure and a cantilever beam. The system's governing equation is derived, and earthquake responses such as deflection, hydrodynamic pressure, base shear, and overturning moment are obtained from the solution.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Moment-less arches of constant axial stress: Implications for design

W. J. Lewis, J. M. Russell, T. Q. Li

Summary: The work discusses the key features and advantages of optimal 2-pin arches shaped by statistically prevalent load and constant axial stress. It extends the design space of symmetric arches to cover asymmetric forms and provides minimum values of constant stress for form-finding of such arches made of different materials. The analysis shows that constant stress arches exhibit minimal stress response and have potential implications for sustainability and durability of future infrastructure.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Estimating design positions of suspension bridge tower saddles in the completed bridge state: An analytical approach

Wen-ming Zhang, Han-xu Zou, Jia-qi Chang, Tian-cheng Liu

Summary: Saddle position is crucial in the construction and control of suspension bridges. This study proposes an analytical approach to estimate the saddle positions in the completed bridge state and discusses the calculation under different definitions. The relationship between the saddle position and the tower's centerline is analyzed, along with the eccentric compression of the tower. The feasibility of the proposed method is verified through a real-life suspension bridge.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Experimental investigation and design-oriented model for concrete column confined with textile reinforced geopolymer composites

Shaise K. John, Alessio Cascardi, Yashida Nadir

Summary: This study experimentally investigated the use of TRM material for reinforcing concrete columns. The results showed that increasing the number of textile layers effectively increased the axial strength. Additionally, the choice of fiber type and hybrid textile configuration also had a significant impact on strength improvement. A new design model that considers the effects of both the confining matrix and textile was proposed.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Influence of fiber dosage, fiber type, and level of prestressing on the shear behaviour of UHPFRC I-girders

Chandrashekhar Lakavath, S. Suriya Prakash

Summary: This study experimentally investigated the shear behavior of post-tensioned UHPFRC girders, considering factors such as prestress level, fiber volume fraction, and types of steel fibers. The results showed that increasing prestress and fiber dosage could enhance the ultimate load-carrying capacity of the girders, reduce crack angle, and increase shear cracking load.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Computer-aided dynamic structural optimization using an advanced swarm algorithm

Vahid Goodarzimehr, Siamak Talatahari, Saeed Shojaee, Amir H. Gandomi

Summary: In this paper, an Improved Marine Predators Algorithm (IMPA) is proposed for size and shape optimization of truss structures subject to natural frequency constraints. The results indicate that IMPA performs better in solving these nonlinear structural optimization problems compared to other state-of-the-art algorithms.

ENGINEERING STRUCTURES (2024)

Article Engineering, Civil

Computer vision-based 3D coordinate acquisition of surface feature points of building structures

Chun-Xu Qu, Jin-Zhao Jiang, Ting-Hua Yi, Hong-Nan Li

Summary: In this paper, a computer vision-based method is proposed to monitor the deformation and displacement of building structures by obtaining 3D coordinates of surface feature points. The method can acquire a large number of 3D coordinates in a noncontact form, improve the flexibility and density of measurement point layout, and is simple and cost-effective to operate.

ENGINEERING STRUCTURES (2024)