Article
Acoustics
Seyed Majid Hosseini Pooya, Ali Massumi
Summary: This study introduces a damage detection method for beam-like structures using only dynamic data to determine the location of damage. The method utilizes the absolute difference value between coefficients of modal strain energy and modal kinetic energy as an indicator of damage location. It does not require mechanical and geometric data from the damaged structure. The proposed method is validated using finite element models and experimental tests.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Marine
Mehdi Alavinezhad, Madjid Ghodsi Hassanabad, Mohammad Javad Ketabdari, Masoud Nekooei
Summary: Flare bridges are crucial offshore structures that connect different parts of an offshore complex. Detecting damage early is important for preventing casualties and losses. This study proposes a new method for damage identification using modal strain energy, which is validated through experimental and numerical studies.
Article
Engineering, Geological
Yan Chen, Wenbing Guo, Jianping Zuo, Shuai Heng, Rong Dou
Summary: The study found that with the increase in loading rates of axial stress, the deformation, strength levels, and crack initiation stress of the sandstone specimens also increased; additionally, the initial stress and volumetric strain stress of the cracks showed a linear increasing trend with the increase in loading rates.
ROCK MECHANICS AND ROCK ENGINEERING
(2021)
Article
Materials Science, Ceramics
Wei Liu, Dubo Tang, Hao Gu, Linlin Wan
Summary: This study investigates the effects of strain rate on the grinding damage of zirconia ceramics. Experimental results show that increasing the strain rate can significantly reduce the grinding force, improve the surface smoothness, and decrease the length of subsurface cracks. The direction of subsurface cracks is related to the internal defects of the material.
CERAMICS INTERNATIONAL
(2022)
Article
Engineering, Chemical
Long Li, Biqi Mao, Yong Zeng, Yurong Tang, Xiaolan Man, Xiuwen Fan, Yongcheng Zhang, Hong Zhang
Summary: Elucidating the morphology of impact cracks on the surface of walnut is essential for understanding its fracture mechanisms. This study used image processing techniques and fractal theory to quantify crack irregularities, represented by crack path roughness and crack branching coefficient. The effects of walnut size and impact energy on crack irregularities were analyzed, showing that fractal dimension can effectively quantify crack irregularity. Additionally, the relationship between crack path roughness and crack branching coefficient follows an inverse exponential function based on energy conservation.
Article
Chemistry, Physical
Xinxin Zhao, Hao Guo, Peng Ding, Wei Zhai, Chuntai Liu, Changyu Shen, Kun Dai
Summary: A novel flexible strain sensor with wide sensing range, high sensitivity, low detection limit, and good sensing stability and durability was developed in this study. wrinkling and cracking structures on the conductive layer were integrated into a thermoplastic polyurethane fiber to achieve high-performance strain sensing. Additionally, strain-dependent visualization of the sensor was realized under UV light, demonstrating its broad application prospects in medical treatment, human-machine interface, and environmental monitoring fields.
Article
Engineering, Geological
Rongchao Xu, Shengzhe Zhang, Zhen Li, Xinming Yan
Summary: The study examines the influence of strain rate on the crack stress threshold in different types of rocks and reveals the mechanical mechanism of hard rocks exhibiting different strength and deformation characteristics at various strain rates. The findings show that the strain rate has a significantly different effect on the damage stress level of different rock types. The strain characteristics of granite and sandstone are mainly influenced by the unstable crack propagation stage, with higher strain rates leading to more pronounced volumetric dilatation. The research results have important implications for engineering excavation.
Article
Engineering, Mechanical
Yu Wang, Haonan Yang, Jianqiang Han, Chun Zhu
Summary: The study focused on the structural deterioration and fracture evolution behavior of pre-flawed hollow-cylinder granite subjected to multi-stage increasing-amplitude cyclic loads, revealing that rock with high flaw angles exhibit larger volumetric deformation and requires more energy for damage propagation. The research proposed a damage evolution model and analyzed the influence of rock structure on crack network patterns.
FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
(2022)
Article
Engineering, Civil
Junfeng Wang, Pingming Huang, Yangguang Yuan, Guangli Zhou, Wanshui Han
Summary: This paper conducted a series of failure experiments on reinforced concrete hollow slab beams based on multifractal theory, and proposed a damage detection method based on crack distribution images. The results indicate that the multifractal theory is effective in describing the crack distribution of the beams, with points on the multifractal spectrum moving towards larger values as bending moment increases, and a strong functional correlation between main mechanical properties and fractal dimension.
Article
Construction & Building Technology
Pengran Shang, Hao Wang, Di Zhang, Wenkui Zheng, Fulai Qu, Shunbo Zhao
Summary: This paper focuses on the three-edge bearing test of a prestressed concrete cylinder pipe (PCCP) and investigates the crack distribution and strain behavior during loading. The results indicate that cracks occur earlier in the inside concrete than in the outside concrete of PCCP, and the prestressed steel wire postpones the tensile stress of the outside concrete. Due to moment redistribution caused by cracking, the protective mortar of the PCCP exhibits visible cracking after certain loads. The prestressed steel wire reaches elastic and strength limit states at 1.4 P-c and 1.6 P-c, respectively. The PCCP possesses sufficient safety with the final failure load greater than 1.6 P-c.
Article
Environmental Sciences
S. R. Samaei, M. Ghodsi Hassanabad, M. Asadian Ghahfarrokhi, M. J. Ketabdari
Summary: The Persian Gulf's unique environmental conditions due to its geopolitical situation and vast oil and gas fields are compromised by pollution. Inadequate marine environmental management leads to degradation, highlighting the importance of damage detection and repair of marine structures.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Article
Engineering, Environmental
Li Qian, Tianzhi Yao, Zuguo Mo, Yunpeng Gao, Jianhai Zhang, Yonghong Li, Ru Zhang, Zhiguo Li
Summary: Understanding the evolution process of rock cracks is crucial for ensuring rock engineering stability and safety. Tri-axial compression tests were conducted on granite from the Shuangjiangkou underground powerhouse, revealing five stages in the crack evolution process. A unified constitutive model was proposed to effectively describe the entire crack evolution process.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
(2022)
Article
Engineering, Multidisciplinary
Dattar Singh Aulakh, Suresh Bhalla
Summary: Modal analysis is a widely used technique for structural identification, with piezoelectric sensors being progressively implemented in vibration-based monitoring. This study evaluates the performance of piezoelectric sensors in modal response measurement and structural health monitoring of 3D structures, showing enhanced sensitivity towards damage compared to accelerometers. Torsional modes perform better than bending modes for damage localization and severity quantification.
Article
Mechanics
Chuntai Zheng, Peng Zhou, Siyang Zhong, Xin Zhang
Summary: This study investigates the noise and drag reductions on a circular cylinder with dimples using anechoic wind tunnel tests. Dimples built on the cylinder surface reduce both noise and drag in the critical regime. Flow analysis based on vortex sound theory shows that the dominant sound sources are concentrated near the cylinder surface due to unsteady vortex motions. The reductions in cylinder noise controlled by dimples are directly associated with the reduced sound sources in the critical and supercritical regimes.
Article
Chemistry, Multidisciplinary
Ivan Duvnjak, Domagoj Damjanovic, Marko Bartolac, Ana Skender
Summary: The mode shape damage index (MSDI) method can be used to identify discrete damages in structures, and experimental results have confirmed its effectiveness in damage detection.
APPLIED SCIENCES-BASEL
(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)