Article
Engineering, Mechanical
Jie Wei, Jun Li, Chengqing Wu, Zhong-xian Liu, Jianguang Fang
Summary: Three strengthening designs based on ultra-high performance concrete (UHPC) are proposed in this study to improve the impact resisting performance of reinforced concrete (RC) components. Drop hammer impact tests show that UHPC strengthened beams exhibit good impact resistance, with non-attached interfaces leading to even better impact resistance. Nonlinear finite element modeling was used to further interpret the experimental results and study the effects of different parameters on the shear mechanisms of RC beams and RC-UHPC beams.
INTERNATIONAL JOURNAL OF IMPACT ENGINEERING
(2021)
Article
Construction & Building Technology
Anqi Gu, Ying Zhou, Richard S. Henry, Yiqiu Lu, Geoffrey W. Rodgers
Summary: This study presents a system-level shake-table test and numerical simulation of a two-story concrete wall building to support the development of low-damage concrete structures. The test building was designed with state-of-the-art concepts and various design configurations were compared. The simulation results showed that the analytical model could reasonably predict the responses of the building under different shaking intensities.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Civil
Junyan Xiao, Oh-Sung Kwon, Evan Bentz, Jae-Wook Jung, Minkyu Kim
Summary: The behavior of short-period reinforced concrete shear wall structures is complex and difficult to predict accurately. This paper investigates the influence of modeling assumptions on the accuracy of finite element analysis in predicting the behavior of RC structures. Experimental and numerical analyses are conducted to study the effects, and the results show that model calibration can significantly improve dynamic response predictions.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Article
Engineering, Civil
R. J. Jackson, A. S. Genikomsou, I. D. Moore
Summary: This study evaluates the impact of incorporating nonlinear material behavior on the required liner thickness for repairing damaged concrete pipes. The results show that the linear elastic model is suitable for pipes experiencing cracking and losses of concrete cover, but for deeply buried pipes with loss of tensile reinforcement, the discrepancies between the liner and nonlinear calculations become more significant.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Hongya Qu, Chengjun Wu, Tiantian Li, Jixing Fu, Zhiqiang Wang
Summary: This study conducts seismic evaluation of high strength self-consolidating concrete bridge columns in high seismic zones through three different experimental approaches, finding that quasi-static cyclic tests tend to be more conservative and may overestimate energy dissipation capacity and ductility, and the coupling effect from bidirectional loading cannot be ignored.
ENGINEERING STRUCTURES
(2021)
Article
Chemistry, Multidisciplinary
Yunlin Liu, Hongbao Xu, Xinxin Ma, Donghua Wang, Xiao Huang
Summary: This paper proposes a calculation method using a cross-sectional vibration mode in combination with the impact-echo method to detect the health of concrete columns. It studies the variation of the predominant frequency in the mid-column region and the critical boundary and analyzes the influence of the edge on the detection results. The differences in eigenvalues under different cross-section vibration modes are revealed, and a quantitative method for evaluating concrete health using the impact-echo method is established. Through field tests and finite element simulation calculations, it is verified that the eigenvalues in the fixed mode are consistent with the predominant frequency measured near the edge region, overcoming the inaccuracy issue of the impact-echo method in detecting the edge area of concrete members. The impact-echo method can be better utilized for non-destructive testing of concrete members.
APPLIED SCIENCES-BASEL
(2023)
Article
Construction & Building Technology
K. Daneshvar, M. J. Moradi, K. Ahmadi, H. Hajiloo
Summary: This study investigated the dynamic behavior of RC slabs with corroded reinforcement and evaluated the effects of strengthening using externally bonded FRP. The results indicated that FRP strengthening improved the dynamic behavior of corroded slabs, especially those with less severe corrosion damage.
CONSTRUCTION AND BUILDING MATERIALS
(2021)
Article
Construction & Building Technology
Bin Li, Hongyuan Fang, Kangjian Yang, Xijun Zhang, Xueming Du, Niannian Wang, Xiaoxiang Guo
Summary: The disaster testing system of buried pipes developed in this work is innovatively used to examine different types of pipes, and the measured data are verified by the finite element models. Parametric analyses reveal the statistical relationship between the maximum principal stress on the pipe and the defect parameters, and a multiparameter formula is derived to predict the maximum stress on the pipes. The results fully reveal the mechanism of the combined effect of corrosion and voids on the mechanical properties of concrete pipes.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2022)
Article
Construction & Building Technology
Huayan Chen, Fengxuan Wang, Caisong Luo, Mianyue Yang, Chaojiang Fu, Bizhen Wang, Youfeng Lin
Summary: The mechanical behavior of concrete-filled steel tubes (CFST) subjected to lateral impact was studied using drop hammer testing and finite element analysis (FEM). The results showed that the maximum stress occurred in the steel tube part and fixed support, while other parts remained in the elastic or elastoplastic stage. The distribution of inertial force in CFST was significantly influenced by impact velocity, while impact mass and cross-sectional steel ratio had no discernible impact.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Construction & Building Technology
Zheyu Zhang, Wei Chen, Kailai Wang, Xuan Guo
Summary: Concrete-filled steel tubular members have high strength and ductility, but corrosion and fatigue can lead to fractures and decrease structural capacity. This study examines the dynamic behavior of damaged concrete-filled double steel tubular beams under impact loads. Experimental and numerical simulations are conducted to investigate the influence of damage severity on the deformation and failure modes of the beams.
CASE STUDIES IN CONSTRUCTION MATERIALS
(2022)
Article
Engineering, Mechanical
Kyeongjin Kim, WooSeok Kim, Junwon Seo, Yoseok Jeong, Jaeha Lee
Summary: The study emphasizes the importance of predicting the amount of concrete fragments generated during a vehicle collision to prevent secondary accidents. Finite Element Method (FEM) has limitations in predicting fragmentation, so Smooth Particle Hydrodynamics (SPH) can be used as an alternative. The Multiple Regression Analysis (MRA) results showed a lower coefficient of determination compared to SPH analysis, suggesting the need for an improved method like Artificial Neural Network (ANN) for predicting fragment amounts with uncertainty.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Mechanical
Bjorn C. Abrahamsen, Frode Grytten, Oyvind Hellan, Tore H. Soreide, Odd M. Faltinsen
Summary: This study focuses on the hydroelastic response of concrete shells in offshore structures when subjected to slamming loads. Due to the large size of the concrete columns, full scale tests are impractical, and model-scale testing is challenging. The study presents the design of realistic Froude scaled elastic shell models to represent concrete shells.
JOURNAL OF FLUIDS AND STRUCTURES
(2023)
Article
Engineering, Civil
Xiang Zhu, Miao Kang, Yifan Fei, Qi Zhang, Rui Wang
Summary: This research investigates the behavior of cruciform steel-reinforced concrete-filled steel columns under impact load through experimental and numerical studies, finding that the outer square steel tube effectively protects the internal steel-reinforced concrete, showing excellent impact resistance.
ENGINEERING STRUCTURES
(2021)
Article
Chemistry, Physical
Bartlomiej Sawicki, Tomasz Piotrowski, Andrzej Garbacz
Summary: The UIR-Scanner, developed at Warsaw University of Technology, combines multiple nondestructive testing methods to speed up the assessment of concrete and increase precision. The Impact-Echo module with a unique arrangement of multiple transducers allows for quick scanning of area for faults and discontinuities, changing the method from punctual to volumetric.
Article
Engineering, Civil
C. Van Steen, T. Van Beirendonck, R. Vrijdaghs, M. A. N. Hendriks, E. Verstrynge
Summary: This paper presents a two-phased numerical modeling approach to determine the constitutive behavior at the reinforcement-concrete interface under a certain corrosion level. The approach includes a crack model and a bond model, considering the flow of corrosion products, the effect of bonded length and concrete cover in the crack model, and using the resulting corrosion products expansion as input in the bond model. The combination of both models achieves a balance between computational time and modeling detail. The model is validated on experimental pull-out test results, showing good agreement in terms of crack width, crack pattern, corrosion-induced bond loss, and failure mode for different corrosion levels.
ENGINEERING STRUCTURES
(2023)
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)
