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, Marine
Azita Khosravan, Behrouz Asgarian, Hamed R. Shokrgozar
Summary: A new method for detecting structural damage of offshore platforms using a limited number of sensors has been developed, which simultaneously utilizes modal frequencies and mode shapes, as well as decomposes modal strain energy into axial and bending. The method has been evaluated experimentally and proven effective in detecting damages with incomplete data.
Article
Engineering, Civil
Sahar Beygzadeh, Peyman Torkzadeh, Eysa Salajegheh
Summary: This article introduces a novel method for detecting structural damage by integrating the Kalman filter and sensitivity analysis. By considering the damage detection problem as a state estimation problem and treating damage as a random phenomenon, this method can accurately detect suspected damaged elements in modal strain energy.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2022)
Article
Chemistry, Multidisciplinary
Nizar Faisal Alkayem, Lei Shen, Tareq Al-hababi, Xiangdong Qian, Maosen Cao
Summary: This research introduces an intelligent inverse analysis approach for structural damage to ensure structural safety. By combining global modal kinetic and modal strain energies, the method extracts dynamic information from the structure and utilizes oppositional learning for population initialization and convergence acceleration. The results show that the developed approach exhibits superior performance and robust behavior in handling complex damage scenarios.
APPLIED SCIENCES-BASEL
(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
Computer Science, Interdisciplinary Applications
Kejie Jiang, Qiang Han, Xiuli Du, Pinghe Ni
Summary: The paper presents a novel decentralized unsupervised structural condition diagnostic framework using deep auto-encoder and manifold learning, clarifying three damage diagnosis mechanisms. The proposed approach extracts features directly from original vibration data without the need for additional signal preprocessing and relies only on output signals, demonstrating elegant performance in structural damage detection and localization.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
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
Computer Science, Interdisciplinary Applications
Samir Tiachacht, Samir Khatir, Cuong Le Thanh, Ravipudi Venkata Rao, Seyedali Mirjalili, Magd Abdel Wahab
Summary: In this paper, a method combining MSEcr and SMA algorithm for damage detection, localization, and quantification is proposed. Experimental and simulation analyses show that this method can accurately predict the location and level of damage.
ENGINEERING WITH COMPUTERS
(2022)
Article
Computer Science, Interdisciplinary Applications
Mohammad Hassan Daneshvar, Mohsen Saffarian, Hashem Jahangir, Hassan Sarmadi
Summary: Sensitivity-based methods using modal data are effective and reliable tools for damage localization and quantification. This article proposes a new method for damage localization and quantification by developing a new sensitivity function and solving the ill-posed inverse problem using an optimization-based iterative regularization method. The proposed method shows promising results in locating and quantifying damage under incomplete noisy modal data.
ENGINEERING WITH COMPUTERS
(2023)
Article
Engineering, Civil
Milad Jahangiri, Mohammad Ali Hadianfard, Mohammad Amir Najafgholipour, Mehdi Jahangiri
Summary: This study proposes an improved elastic strain energy-dissipation criterion (AMSE) for structural damage detection. The AMSE is composed of relative differences in natural frequency and mode shape and is implemented with the IAS optimization algorithm. Experimental results demonstrate the reliability and accuracy of AMSE in damage detection.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2022)
Article
Engineering, Mechanical
Y. F. Xu, G. L. Huang
Summary: This study provides an in-depth analysis of the impact of damage on the structural dynamic properties of finite acoustic metamaterials (AMMs). A modal sensitivity analysis is formulated to measure the modal deformation of each spring, and the effects of damage on AMMs are extensively investigated numerically. The results show significant changes in frequency response functions, eigenvalues, and mode shapes of damaged AMMs near bandgaps, with these changes diminishing as frequencies move away from the bandgaps. This research enhances our understanding of the structural dynamics of damaged metamaterials and offers valuable insights for the development of effective damage identification techniques and resilient metamaterial-based structures.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Construction & Building Technology
Zhiming Zhang, Chao Sun, Vahid Jahangiri
Summary: This study proposes a two-step strategy for damage identification of offshore wind turbines via Finite Element (FE) model updating. The first step identifies the damaged component(s), while the second step focuses on exact damage localization and quantification. Results indicate that the proposed methodology can correctly identify most structural damage using operational data.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Civil
MinShui Huang, Xihao Cheng, YongZhi Lei
Summary: The study introduces a method for structural damage identification based on the substructure method, element relative modal strain energy, and improved whale optimization algorithm (LWOA). By decomposing the global structure, improving the algorithm, and constructing the objective function, the method can accurately identify the location and severity of damage in different structures, improving the efficiency of damage identification.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2021)
Article
Engineering, Mechanical
Sheng Lei, Wei Tian, Li Li
Summary: An adjoint variable method is proposed in this paper for sensitivity analysis of performance metrics. By defining a function to render these performance metrics in scalar form and analyzing them in a unified form, the sensitivity of performance metrics can be directly calculated. Through comparison with the direct differentiation method and numerical validation, the results show that this method is more effective for performance metrics with multiple design variables.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Environmental Sciences
M. Alavinezhad, M. Ghodsi Hassanabad, M. J. Ketabdari, M. Nekooei
Summary: Catwalks are crucial components in offshore complexes, providing connection between different parts and neighboring jackets. Detecting damages in these structures is important to prevent environmental, financial, and human losses. Modal strain energy method is effective in identifying damages, as shown in this study on offshore truss structures.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Marine
Dingxin Leng, Di Liu, Haiyang Li, Bei Jin, Guijie Liu
Summary: This work investigates the effect of internal flow on the vortex-induced vibration characteristics of a marine riser under different boundary conditions. The results show that the increase in internal flow velocity and density has a negative influence on the vortex-induced vibration of the riser.
Article
Computer Science, Interdisciplinary Applications
Baoping Cai, Yuandong Wang, Yanping Zhang, Yiliu Liu, Weifeng Ge, Rongkang Li, Yonghong Liu, Guijie Liu
Summary: To maintain process safety, condition-based maintenance (CBM) has received wide attention as the last part of diagnosis-prediction-maintenance. This paper proposes a novel CBM method based on remaining useful life (RUL) for multi-component systems, considering imperfect maintenance and spare part management, which can significantly reduce maintenance preparation cost.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Instruments & Instrumentation
Zhengjie Liu, Weilei Mu, Hao Ning, Mengmeng Wu, Guijie Liu
Summary: This paper proposes an online monitoring method based on adaptive singular value decomposition (ASVD) for detecting pressure vessel leakages. By using singular value decomposition (SVD) to divide the signal space into a signal subspace and a noise subspace, the different statuses of intact, leakage, and repaired can be successfully distinguished.
Article
Engineering, Mechanical
Xin Fang, Guijie Liu, Honghui Wang, Yingchun Xie, Xiaojie Tian, Dingxin Leng, Weilei Mu, Penglei Ma, Gongbo Li
Summary: In this paper, a three-dimensional fatigue crack growth prediction method based on consistency maintenance is proposed to reduce the influence of uncertain factors. Through steps such as crack growth update, life correction, and path correction, the accuracy of prediction results is improved and dynamic tracking of crack growth is achieved.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Engineering, Marine
Guijie Liu, Xiulong Zhang, Donghong Ning, Yunqing Chen, Honghui Wang, Baoping Cai
Summary: Underwater acoustic transmission is easily disturbed and absorbs many noise components due to the complex and diverse underwater environment. Traditional signal processing methods face challenges in dealing with these complex noise components. This paper proposes a new non-contacting fault diagnosis method using a deep neural network (DNN) with skip connections. The effectiveness of the proposed method is validated through an underwater acoustic experiment, achieving a diagnosis accuracy of 98.89%.
Article
Acoustics
Yuqing Gao, Weilei Mu, Fuh-Gwo Yuan, Guijie Liu
Summary: This paper proposes an extremely sparse sensor array with only one single PZT patch for structural health monitoring. By developing a self-sensing circuit, proposing a sparse decomposition and dispersion removal algorithm, determining the matching relationship, and employing an ellipse-type imaging approach, the localization of defects is achieved.
Article
Computer Science, Artificial Intelligence
Xuelin Liu, Baoping Cai, Xiaobing Yuan, Xiaoyan Shao, Yiliu Liu, Javed Akbar Khan, Hongyan Fan, Yonghong Liu, Zengkai Liu, Guijie Liu
Summary: In this study, a hybrid multi-stage methodology for remaining useful life (RUL) prediction of control systems is proposed. The variant of unscented Kalman filter (UKF) and dynamic Bayesian networks (DBNs) are used for uncertainty analysis, and the real degradation process of control systems is simulated by optimizing the degradation process, leading to improved accuracy and robustness of RUL prediction.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Multidisciplinary
Zhengjie Liu, Hao Ning, Mengmeng Wu, Weilei Mu, Guijie Liu
Summary: In this study, a comprehensive valve leakage diagnosis method based on a multichannel fusion convolutional neural network (MCFCNN) is proposed. Acoustic emission (AE) signals are first converted to two-dimensional time-frequency images using the time-frequency analysis. Then, MCFCNN fuses the features from two different positions, enabling a comprehensive diagnosis method that incorporates time-frequency, modal, and position information. Experimental results validate the effectiveness of the proposed method and compare the impact of modal information on identifying internal and external valve leakage faults using different time-frequency transforms.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Erdong Chen, Yiduo Yang, Mengjiao Li, Binghang Li, Guijie Liu, Weilei Mu, Rong Yin
Summary: Inspired by the motion gait of cheetahs, researchers have developed a soft-bodied hopping micro-robot with a double spiral structure that amplifies its motion performance and environmental adaptability. This robot can achieve high-speed movement, navigate complex terrain, climb hills, carry heavy loads, and even includes temperature sensors.
Article
Engineering, Electrical & Electronic
Guangrui Luan, Pengfei Liu, Donghong Ning, Guijie Liu, Haiping Du
Summary: This paper proposes a seat suspension equipped with a variable equivalent inertance-variable damping (VEI-VD) device and a novel semi-active vibration control strategy. The VEI-VD device can control its equivalent inertance and damping by controlling two external resistors in its electric circuit. The VEI-VD seat suspension shows great potential in applications, reducing the root mean square acceleration compared to a passive seat.
Article
Computer Science, Artificial Intelligence
Xu Han, Xinyu Liu, Honghui Wang, Guijie Liu
Summary: This paper proposes a hybrid approach to build a performance evaluation model and perform rapid evaluation of design schemes. The approach uses a surrogate model and knowledge graph to establish the model and simulate the design process, improving computational and design efficiency.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Computer Science, Artificial Intelligence
Baoping Cai, Chaoyang Sheng, Chuntan Gao, Yonghong Liu, Mingwei Shi, Zengkai Liu, Qiang Feng, Guijie Liu
Summary: This paper proposes an enhanced artificial intelligence reliability assessment method by combining Bayesian neural networks and differential evolution algorithms. By fusing small samples and prior information, a reliability assessment model is constructed and reconstructed using virtual samples. The experimental results demonstrate that this method can accurately evaluate the reliability life of a product and improve the accuracy of the assessment.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Review
Engineering, Multidisciplinary
Gongbo Li, Guijie Liu, Dingxin Leng, Xin Fang, Guanghao Li, Wenqian Wang
Summary: Compared with traditional propeller-based propulsion, underwater biomimetic robots exhibit better stability and maneuverability in harsh marine environments, particularly undulating propulsion biomimetic robots. This paper classifies existing underwater biomimetic robots and outlines their main contributions to the field. The propulsion mechanisms of underwater biomimetic undulating robots are summarized based on theoretical, numerical, and experimental studies. Future perspectives on underwater biomimetic undulating robots are also presented, filling the gaps in the existing literature.
Article
Automation & Control Systems
Xiangjun Xia, Donghong Ning, Yulin Liao, Pengfei Liu, Haiping Du, Weihua Li, Guijie Liu
Summary: This article proposes a novel multifunction electrically interconnected suspension (MFEIS) system that can reduce vibration and harvest energy at the same time. Two H-bridge circuits are used to control the energy flow. The energy flow and control procedures of each mode are studied, and two multiobjective control strategies are proposed to balance ride comfort and energy recovery performance.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Chemistry, Organic
Guijie Liu, Zhengqiang Fu, Fei Chen, Caixia Xu, Min Li, Ning Liu
Summary: The bidentate N-heterocyclic carbene (NHC)-pyridine nitrogen manganese complex was utilized as a catalyst for the coupling reaction between epoxides and CO2. The binary system of the manganese complex Mn-2 and tetrabutylammonium iodide (TBAI) showed high activity in the synthesis of cyclic carbonates. This binary catalytic system is versatile for various substrates, including both terminal and sterically hindered internal epoxides. A potential catalytic pathway was proposed based on analysis using UV-vis, FT-IR, and HRMS techniques.
CHINESE JOURNAL OF ORGANIC CHEMISTRY
(2023)
Article
Engineering, Marine
Alba Ricondo, Laura Cagigal, Beatriz Perez-Diaz, Fernando J. Mendez
Summary: This research presents a site-specific metamodel based on the SWASH numerical model simulations, which can predict coastal hydrodynamic variables in a fast and efficient manner. The metamodel uses downscaled and dimensionality reduced synthetic database to accurately reproduce wave setup, wave heights associated with different frequency bands, and wave runup. This method has great potential in coastal risk assessments, early warning systems, and climate change projections.
Article
Engineering, Marine
Xiao Yu, Wangjun Ren, Bukui Zhou, Li Chen, Xiangyun Xu, Genmao Ren
Summary: This study investigated and compared the compression responses and energy absorption capacities of coral sand and silica sand at a strain rate of approximately 1000 s-1. The results showed that coral sand had significantly higher energy absorption capacity than silica sand due to its higher compressibility. The study findings suggest that using poorly graded coral sand can improve its energy absorption capacity.
Article
Engineering, Marine
Jingxi Zhang, Junmin Mou, Linying Chen, Pengfei Chen, Mengxia Li
Summary: This paper proposes a cooperative control scheme for ship formation tracking based on Model Predictive Control. A predictive observer is designed to estimate the current motion states of the leader ship using delayed motion information. Comparative simulations demonstrate the effectiveness and robustness of the proposed controller.
Article
Engineering, Marine
Yu Yao, Danni Zhong, Qijia Shi, Ji Wu, Jiangxia Li
Summary: This study proposes a 2DH numerical model based on Boussinesq equations to investigate the impact of dredging reef-flat sand on wave characteristics and wave-driven current. The model is verified through wave flume experiments and wave basin experiments, and the influences of incident wave conditions and pit morphological features on wave characteristics are examined.
Article
Engineering, Marine
Jayanta Shounda, Krishnendu Barman, Koustuv Debnath
Summary: This study investigates the double-average turbulence characteristics of combined wave-current flow over a rough bed with different spacing arrangements. The results show that a spacing ratio of p/r=4 offers the highest resistance to the flow, and the double-average Reynolds stress decreases throughout the flow depth. The advection of momentum-flux of normal stress shows an increase at the outer layer and a decrease near the bed region after wave imposition. Maximum turbulence kinetic energy production and diffusion occur at different layers. The turbulence structure is strongly anisotropic at the bottom region and near the outer layer, with a decrease in anisotropy observed with an increase in roughness spacing.
Article
Engineering, Marine
Meng Zhang, Lianghui Sun, Yaoguo Xie
Summary: The research proposes a method for online identification of wave bending and torsional moment in hull structures. For structures without large openings, the method optimizes sensor positions and establishes a mathematical model to improve accuracy. For structures with large openings, a joint dual-section monitoring method is proposed to simultaneously identify bending and torsional moments in multiple key cross sections.
Article
Engineering, Marine
Longming Chen, Shutao Li, Yeqing Chen, Dong Guo, Wanli Wei, Qiushi Yan
Summary: This study investigated the dynamic response characteristics and damage modes of pile wharves subjected to underwater explosions. The results showed that the main damaged components of the pile wharf were the piles, and inclined piles had a higher probability of moderate or more significant damage compared to vertical piles. The study also suggested that replacing inclined piles with alternative optimized structures benefits the blast resistance of pile wharves.
Article
Engineering, Marine
I. -C Kim, G. Ducrozet, V. Leroy, F. Bonnefoy, Y. Perignon, S. Bourguignon
Summary: Previous research focused on the accuracy and efficiency of short-term wave fields in specific prediction zones, while we developed algorithms for continuous wave prediction based on the practical prediction zone and discussed important time factors and strategies to reduce computational costs.
Article
Engineering, Marine
Hang Xie, Xianglin Dai, Fang Liu, Xinyu Liu
Summary: This study investigates the load characteristics of a three-dimensional stern model with pitch angle through a drop test, and reveals complex characteristics of pressure distribution near the stern shaft. The study also shows that the vibration characteristics of the load are influenced by the drop height and pitch angle, with the drop height having a greater effect on the high-frequency components.
Article
Engineering, Marine
Hangyuan Zhang, Wanli Yang, Dewen Liu, Xiaokun Geng, Wangyu Dai, Yuzhi Zhang
Summary: The deep-water bridge is more vulnerable to earthquake damage than the bridge standing in air. The larger blocking ratio has a significant impact on the added mass coefficient, which requires further comprehensive study. The generation mechanism of block effect is analyzed using numerical simulation software ANSYS Fluent. The results show that the recirculation zone with focus reduces the pressure on the back surface of the cylinder, resulting in the peak value of in-line force not occurring synchronously with the peak value of acceleration. The change in position and intensity of the recirculation zone with focus, as well as the change in water flow around the cylinder surface, are identified as the generation mechanism of the block effect, which has a 10% influence on the hydrodynamic force. The changing rule of the added mass coefficient with blocking ratio is discussed in detail, and a modification approach to the current added mass coefficient calculation method is suggested. Physical experiments are conducted to validate the modification approach, and the results show that it is accurate and can be used in further study and real practice.
Article
Engineering, Marine
Golnesa Karimi-Zindashti, Ozgur Kurc
Summary: This study examines the performance of an in-house code utilizing a deterministic vortex method on the rotation of circular and square cylinders. The results show that rotational motion reduces drag forces, suppresses fluctuating forces, and increases lift forces. The code accurately predicts vortex shedding suppression and identifies the emergence of near-field wakes in the flow over rotating square cylinders.
Article
Engineering, Marine
George Dafermos, George Zaraphonitis
Summary: The survivability of damaged ships is of great importance and the regulatory framework is constantly updated. The introduction of the probabilistic damage stability framework has rationalized the assessment procedure. Flooding simulation tools can be used to investigate the dynamic response of damaged ships.
Article
Engineering, Marine
Xuyue Chen, Xu Du, Chengkai Weng, Jin Yang, Deli Gao, Dongyu Su, Gan Wang
Summary: This paper proposes a real-time drilling parameters optimization method for offshore large-scale cluster extended reach drilling based on intelligent optimization algorithm and machine learning. By establishing a ROP model with long short-term memory neurons, and combining genetic algorithm, differential evolution algorithm, and particle swarm algorithm, the method achieves real-time optimization of drilling parameters and significantly improves the ROP.
Article
Engineering, Marine
Sung-Jae Kim, Chungkuk Jin, MooHyun Kim
Summary: This study investigates the dynamic behavior of a moored submerged floating tunnel (SFT) under tsunami-like waves through numerical simulations and sensitivity tests. The results show that design parameters significantly affect the dynamics of the SFT system and mooring tensions, with shorter-duration and higher-elevation tsunamis having a greater impact.
Article
Engineering, Marine
G. Clarindo, C. Guedes Soares
Summary: Environmental contours are constructed using the Inverse-First Order Reliability Method based on return periods. The paper proposes the use of the Burr distribution to model the marginal distribution of long-term significant wave heights. The newly implemented scheme results in different environmental contours compared to the reference approach.
