Article
Engineering, Civil
Haili Liao, Hanyu Mei, Gang Hu, Bo Wu, Qi Wang
Summary: This paper proposed a machine learning strategy to quickly obtain the critical flutter wind speed of streamlined box girders in the preliminary design. The neural network and gradient boosting regression tree models exhibit the highest prediction accuracy. Comparative study showed that machine learning models outperformed simplified formulas for flutter estimation.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Article
Construction & Building Technology
Junjie Guo, Haojun Tang, Yongle Li, Zewen Wang
Summary: The study shows that reducing the porosity of guardrails improves the wind environment above the bridge deck, but closing the guardrails can lead to non-divergent vibrations in the girder. The effects of wind environment improvement at different angles of attack and post-flutter behaviors of the bridge are closely related to the synchronization between the movement of vortex and the motion of the girder.
ADVANCES IN STRUCTURAL ENGINEERING
(2021)
Article
Engineering, Civil
Tianyi Zhang, Ming Li, Yongfu Lei, Yanguo Sun, Mingshui Li, Yingzi Zhong
Summary: In this study, a comparative investigation of flutter characteristics between plate-truss composite girder (PTCG) and plate-truss separated girder (PTSG) is conducted using wind tunnel tests and computational fluid dynamic simulations. The results demonstrate the superior flutter performance of PTCG over PTSG at the most unfavorable attack angle. Moreover, the upper central vertical stabilizers have a more significant flutter mitigation effect compared to the lower central vertical stabilizers for the investigated truss sections. Additionally, both the upper and lower central vertical stabilizers exhibit better flutter mitigation effects on PTSG than PTCG.
JOURNAL OF BRIDGE ENGINEERING
(2022)
Article
Engineering, Civil
Yu Li, Chen Li, Ya-Dong Liang, Jia-Wu Li
Summary: This study aims to quickly predict the flutter critical wind speed (FCWS) of long-span bridges through methods such as establishing artificial neural networks, effectively evaluating the flutter stability and aerodynamic performance of streamlined box girders, reducing unnecessary wind tunnel tests, and improving work efficiency.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Multidisciplinary Sciences
Jinhua Li, Zhan Quan, Yao Zhang, Liyuan Cao, Chunxiang Li
Summary: An investigation on the flutter derivative prediction of flat steel box girders is conducted based on CFD simulations. By using the design variables of cross-section shape and Kriging models, the flutter derivatives are predicted with improved accuracy. The study demonstrates the feasibility of directly predicting flutter derivatives using Kriging models.
Article
Engineering, Civil
M. Cid Montoya, F. Nieto, S. Hernandez, A. Fontan, J. A. Jurado, A. Kareem
Summary: This paper uses aero-structural optimization techniques to design long-span bridges with short gap twin-box decks. The geometry of the individual box cross-section is found to be crucial for controlling buffeting response, while designs with larger gap distance and alternative box geometries are required for flutter and torsional buffeting constraints, leading to a trade-off between conflicting design demands. This study provides an effective tool to achieve sustainable and safe bridge designs by seeking the most efficient balance between all design constraints.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2021)
Article
Acoustics
Sandip Chajjed, Mohammad Khalil, Dominique Poirel, Chris Pettit, Abhijit Sarkar
Summary: This paper reports the generalization of the Bayesian formulation of the flutter margin method, which improves the predictive performance by incorporating the joint prior of aeroelastic modal parameters. The improved algorithm reduces uncertainties in predicting flutter speed and can cut cost by reducing the number of flight tests.
JOURNAL OF SOUND AND VIBRATION
(2024)
Article
Engineering, Multidisciplinary
Xiang Xu, Michael C. Forde, Yuan Ren, Qiao Huang, Bin Liu
Summary: A multi-index probabilistic anomaly detection approach based on Bayesian estimation and evidential reasoning is proposed to measure uncertainties within anomaly detection and distinguish sensor faults from anomalous events. Energy and probabilistic indexes are defined and extracted from pre-processed measurements, and evidential reasoning is applied to incorporate multiple certainty degrees to differentiate sensor faults and anomalous scenarios.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Lianhuo Wu, Mingjin Zhang, Fanying Jiang, Zelin Zhou, Yongle Li
Summary: This paper analyzes the aerodynamic forces on a streamlined box girder (SBG) with coupled vibration. The key step is to assume that the normal airflow velocity at any point on the SBG surface is equal to the surface motion velocity. The aerodynamic drag force, lift force, and pitching moment are expressed as functions of the SBG motion state and shape-related parameters. The analytical solution is compared with a numerical simulation in viscous flow, and the results show good agreement under certain angles of attack.
Article
Engineering, Mechanical
Michael Styrk Andersen, Mads Beedholm Eriksen, Soren Vestergaard Larsen, Anders Brandt
Summary: A two dimensional model based on Theodorsen's flat plate theory is developed to approximate the aeroelastic effects on an arbitrary multi-box bridge girder. The model is compared with wind tunnel test results, showing reasonable agreement in predicting flutter derivatives and aerodynamic damping. The model overestimates the critical flutter wind speed for the present sections but provides a useful approximation for flutter derivatives.
JOURNAL OF FLUIDS AND STRUCTURES
(2022)
Article
Computer Science, Interdisciplinary Applications
Bo Wu, Haili Liao, Huoming Shen, Qi Wang, Hanyu Mei, Zhiguo Li
Summary: This study introduces a multimode coupled nonlinear flutter analysis method, which effectively considers the impact of vibration amplitude on flutter derivatives. Through numerical simulation and case study, the proposed method demonstrates good performance in accurately quantifying nonlinear flutter response.
COMPUTERS & STRUCTURES
(2022)
Article
Engineering, Mechanical
Genshen Fang, Weichiang Pang, Lin Zhao, Kun Xu, Shuyang Cao, Yaojun Ge
Summary: This study presents a Monte-Carlo technique-based framework to analyze the flutter reliability of long-span suspension bridge subjected to tropical-cyclone winds. The TC wind hazard curves at the height of the bridge deck are estimated through generating a large quantity of synthetic tracks around the bridge site, providing probabilistic solutions for the gust factor associated with any gust duration of interest.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Civil
Haojun Tang, Yongle Li
Summary: An increasing number of double-main-span suspension bridges with three towers are now constructed. Close modes in this bridge type exhibit similar characteristics during girder erection, which is important but hard to accurately determine the modal combination for flutter analyses. In this paper, full-order modal flutter analyses were performed to study the flutter performance of a double-main-span suspension bridge during erection. The results show that reinforcing the connections between girder segments in the lateral direction could significantly improve the anti-symmetrical flutter stability, while proper temporary constraints or connections are favorable for the symmetrical flutter instability.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2023)
Article
Engineering, Civil
Zhiguo Li, Bo Wu, Haili Liao, Mingshui Li, Qi Wang, Huoming Shen
Summary: This study experimentally examines the flutter performance of a streamlined box girder under different external excitations. The results show the close relationship between the torsional-motion-related flutter derivatives and the nonlinearity emerged in the flutter. The mechanisms leading to the dependence of the flutter response and critical wind speed on initial conditions are investigated. Additionally, the influences of the modal coupling effect and the spanwise variation of the self-excited forces on the modal properties and flutter performance of a full bridge are discussed.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)
Article
Engineering, Civil
Gian Felice Giaccu, Luca Caracoglia
Summary: Long-span cable-supported bridges are becoming increasingly important worldwide, but wind effects can lead to flutter. By introducing a prototype gyroscopic device as an active stabilizer, the flutter performance of the bridge can be improved.
ENGINEERING STRUCTURES
(2021)
Article
Computer Science, Interdisciplinary Applications
Jose Pedro G. Carvalho, Denis E. C. Vargas, Breno P. Jacob, Beatriz S. L. P. Lima, Patricia H. Hallak, Afonso C. C. Lemonge
Summary: This paper formulates a multi-objective structural optimization problem and utilizes multiple evolutionary algorithms to solve it. By optimizing the grouping of structural members, the best truss structure can be found. After analyzing various benchmark problems, the study reveals the existence of competitive structural member configurations beyond symmetry-based groupings.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Se-Hyeon Kang, Hyun-Seok Kim, Seonho Cho
Summary: This paper investigates shape identification using peridynamic theory and gradient-based optimization. The particle-based and non-local characteristics of peridynamics allow for direct interface modeling, avoiding remeshing difficulties. The boundary of scatterers is parameterized using B-spline surfaces, and design sensitivity is obtained using an efficient adjoint variable method. The accuracy and efficiency of the proposed method are verified through numerical examples.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Laura Rio-Martin, A. Prieto
Summary: Any numerical procedure in mechanics requires selecting an appropriate constitutive model for the material. The common assumptions for linear wave propagation in viscoelastic materials include the standard linear solid, Maxwell, Kelvin-Voigt, and fractional derivative models. Typically, the intrinsic parameters of the mathematical model are estimated based on available experimental data to fit the mechanical response of the chosen constitutive law. However, this approach may suffer from the uncertainty of inadequate model selection. In this work, the mathematical modeling and selection of frequency-dependent constitutive laws for linear viscoelastic materials are solely performed based on experimental measurements without imposing any functional frequency dependence. This data-driven methodology involves solving an inverse problem for each frequency.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Pramod Kumar Gupta, Chandrabhan Singh
Summary: In this paper, a novel algorithm is developed to generate the geometrical model of coarse aggregate, and it is further applied in the generation of a finite element model for concrete. Through numerical simulation and comparison with existing literature, the effectiveness of the meso-model is verified.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiao Wang, Qingrui Yue, Xiaogang Liu
Summary: This study proposes a graph neural networks-based method to recover the missing connection information in crack meshes, and comparative analysis shows that the trained GraphSAGE outperforms other GNNs on triangular meshing task, revealing the potential of GNNs in restoring missing information.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Dhiraj S. Bombarde, Manish Agrawal, Sachin S. Gautam, Arup Nandy
Summary: The study introduces a novel twenty-seven node quadratic EAS element, addressing the underutilization of quadratic elements in existing 3D EAS elements. Additionally, a six-node wedge and an eighteen-node wedge EAS element are presented in the manuscript.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Hau T. Mai, Seunghye Lee, Joowon Kang, Jaehong Lee
Summary: In this work, an effective Damage-Informed Neural Network (DINN) is developed for pinpointing the position and extent of structural damage. By using a deep neural network and Bayesian optimization algorithm, the proposed method outperforms other algorithms in terms of accuracy and efficiency.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Qingsong Xiong, Qingzhao Kong, Haibei Xiong, Lijia Liao, Cheng Yuan
Summary: This study proposes a novel physics-informed deep 1D convolutional neural network (SSM-CNN) for enhanced seismic response modeling. By construing the differential nexus of state variables derived from the state-space representation of initial structural response, an innovative parameter-free physics-constrained mechanism is designed and embedded for performance enhancement. Experimental validations confirmed the effectiveness and superiority of physics-informed SSM-CNN in seismic response prediction.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
D. Herrero-Perez, S. G. Pico-Vicente
Summary: This work presents an efficient, flexible, and scalable strategy for implementing density-based topology optimization formulation in fail-safe structural design. The use of non-overlapping domain decomposition, adaptive mesh refinement, and computing buffers allows for successful evaluation of fault cases.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiangyang Cui, Gongcheng Peng, Qi Ran, Huan Zhang, She Li
Summary: A novel degenerated shell element called MITC4+R is developed, which eliminates various locking problems common to shell elements and significantly improves the computational efficiency. It is based on assumed natural strain method and introduces a physical stabilization term.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Shouyan Jiang, Wangtao Deng, Ean Tat Ooi, Liguo Sun, Chengbin Du
Summary: This study presents an innovative data-driven algorithm that combines the scaled boundary finite element method and a deep learning framework for identifying crack-like defects in large-scale structures. The proposed algorithm accurately determines the number, location, and depth of cracks and is robust to noise. It provides valuable insight into the detection and diagnosis of structural defects.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Shiqiang Qin, Jiacheng Feng, Jian Tang, Xuejin Huo, Yunlai Zhou, Fei Yang, Magd Abdel Wahab
Summary: This study assesses the condition of a CFST arch bridge using in-situ vibration measurements, finite element model updating, and an improved artificial fish swarm algorithm. The results indicate that the bridge has good dynamic performance, but track conditions need improvement before operation.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Md. Imrul Reza Shishir, Alireza Tabarraei
Summary: In this paper, a density-based topology optimization method using neural networks is proposed for designing multi-material domains under combined thermo-mechanical loading. The method achieves automatic sensitivity analysis and removes the need for other optimization algorithms. Experimental results show that the method can handle high-resolution re-sampling, resulting in more refined and smooth optimal topologies.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
Bartosz Sobczyk, Lukasz Pyrzowski, Mikolaj Miskiewicz
Summary: This paper describes the problems encountered during the analysis of the structural response of historic masonry railroad arch bridges. It focuses on the stiffness of the masonry arches, their strengths, and the estimation of railroad load intensity. The paper presents computational models created to efficiently describe the responses of the bridges under typical loading conditions and discusses the outcomes of nonlinear static analyses. The possible causes of the deterioration of the bridges' condition were identified through these analyses.
COMPUTERS & STRUCTURES
(2024)
Article
Computer Science, Interdisciplinary Applications
T. Koudelka, T. Krejci, J. Kruis
Summary: This paper presents a numerical model for the coupled hydro-mechanical behaviour of partially saturated soils, and demonstrates its effective application through a numerical example.
COMPUTERS & STRUCTURES
(2024)