Article
Automation & Control Systems
Zhou Yang, Qiang Xiao, Yi-min Zhang
Summary: This paper uses finite element method and BP neural network training method to study the relationship between displacement response of seat belt and random parameters. By calculating reliability and reliability sensitivity, the influence rule of belt guide ring and belt parameters on reliability is obtained.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Materials Science, Multidisciplinary
Meijiaou Qu, Mengqi Li, Zhichao Wen, Weifeng He
Summary: This paper proposes a data-driven method for constructing a material mechanical behavior model, which can predict the mechanical behavior of any material under different loads. The accuracy of the prediction model is verified based on experimental data.
Article
Chemistry, Multidisciplinary
Alfonso Trejo-Enriquez, Guillermo Urriolagoitia-Sosa, Beatriz Romero-Angeles, Miguel angel Garcia-Laguna, Martin Guzman-Baeza, Jacobo Martinez-Reyes, Yonatan Yael Rojas-Castrejon, Francisco Javier Gallegos-Funes, Julian Patino-Ortiz, Guillermo Manuel Urriolagoitia-Calderon
Summary: This study evaluated the biomechanical response of the cervical spine and skull under impact loading, taking into consideration the injury caused by intervertebral disc wear. The findings provided valuable information on the impact of traumatic injuries and proposed improved physiotherapeutic procedures.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Guang Yang, Jiadong Li, Huiqi Li, Dejing Kong, Zhengqi Wang, Fan Liu
Summary: A visual teaching platform that can calculate the magnetic field of magnetic core inductance in real time was developed using a combination of finite element calculation and neural network technology. It enhances students' understanding and application of electromagnetic field basics.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Geological
Cheng-Hsi Hsiao, Albert Y. Chen, Louis Ge, Fu-Hsuan Yeh
Summary: In this study, a pretrained model using machine learning techniques is proposed to directly estimate the safety factor and slip surface trace, providing a quick evaluation of the probability of failure. The convolutional neural network model outperforms the artificial neural network model, especially when considering additional random fields. This method effectively reduces the computation time compared to the traditional random finite element method.
Article
Biotechnology & Applied Microbiology
Yongtao Lu, Yi Huo, Zhuoyue Yang, Yibiao Niu, Ming Zhao, Sergei Bosiakov, Lei Li
Summary: Convolutional neural network (CNN) technique has been efficient in designing porous structures, but the parameter setting of a CNN model greatly influences its predictive ability. This study investigates the sensitivity of various parameters in the CNN model for predicting the mechanical property of porous structures. The results show that the optimizer has the largest impact on training speed, while the pooling layer has the largest impact on predictive ability. Parameter sensitivity analysis can optimize the CNN model and improve computational efficiency.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Mechanical
Piemaan Fazily, Jeong Whan Yoon
Summary: This study proposes a machine learning-based constitutive model for anisotropic plasticity in sheet metals. A fully connected deep neural network (DNN) is constructed to learn the stress integration procedure under the plane stress condition. The performance of the DNN-based anisotropic constitutive model is evaluated for its predictions and compatibility with the trained anisotropic yield function.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Materials Science, Multidisciplinary
Josep Forner-Escrig, Rosa Mondragon, Leonor Hernandez, Roberto Palma
Summary: Nanoencapsulated phase change materials (nePCMs) are being researched for energy storage, with the study finding that the melting temperature and thermal expansion of the core significantly affect the maximum stress. Utilizing Monte Carlo techniques and finite element modeling, uncertainty and sensitivity analyses were conducted, revealing that only a small percentage of tin nePCMs are expected to experience mechanical failures.
MECHANICS OF MATERIALS
(2021)
Article
Energy & Fuels
Hao Bai
Summary: This paper presents an analysis model for optimal operation efficiency of line in a distribution network, taking into consideration reliability and economy. The proposed model is tested in a distribution system.
Article
Construction & Building Technology
Zi-Qing Yuan, Yu Xin, Zuo-Cai Wang, Ya-Jie Ding, Jun Wang, Dong-Hui Wang
Summary: This study proposes a novel nonlinear model updating approach based on an improved generative adversarial network (GAN). The improved GAN incorporates a convolutional neural network (CNN) surrogate model into the discriminator network to enhance its learning capability. The trained network model based on measured acceleration amplitudes can accurately estimate the nonlinear model parameters. Numerical simulations and experimental tests confirm the reliability and effectiveness of the improved GAN model for structural nonlinear model updating under seismic excitations.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Renzo Phellan, Bahe Hachem, Julien Clin, Jean-Marc Mac-Thiong, Luc Duong
Summary: This paper reviews the application of machine learning algorithms in finite element method simulations of anatomical structures and the advantages of quickly generating simulation results, which helps shorten the time and accelerate their adoption in clinical practice.
Article
Engineering, Electrical & Electronic
Huihuan Wu, Yunpeng Zhang, Weinong Fu, Changgeng Zhang, Shuangxia Niu
Summary: This article introduces a novel pre-processing method for magnetic field approximation based on neural networks, which reduces input layer dimension and accelerates the training process using an excitation distance function. Experimental results demonstrate that the predicted results are close to the ground truth, with a significant reduction in computation time compared to the traditional finite element method.
IEEE TRANSACTIONS ON MAGNETICS
(2021)
Article
Biology
Veera Venkata Satya Varaprasad Jakka, Jiri Bursa
Summary: The study proposed finite element models of endothelial cells with shapes mimicking their natural state, considering the flexural and tensional/compressional behavior of microtubules and waviness of intermediate filaments. Four different models were created and loaded by biaxial deformation, blood pressure, and shear load, showing the significant impact of pulsatile blood pressure and low shear stresses on nucleus deformation in endothelial cells. The findings suggest that both pulsatile blood pressure and wall shear stress may induce significant deformation of the nucleus and trigger remodelation processes.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Engineering, Electrical & Electronic
Yinghao Chen, Lei Wei, Shen Cao, Fan Liu, Yunlei Yang, Yangjin Cheng
Summary: In this paper, the neural finite element method (NFEM) with a two-part structure is proposed to solve the generalized Black-Scholes-Merton equation in the financial market. The NFEM achieves a highly accurate result by adaptively subdividing the domain and improving the approximation ability. Through numerical experiments, it is shown that NFEM provides an exciting new tool for this model.
DIGITAL SIGNAL PROCESSING
(2022)
Article
Energy & Fuels
Martin Onyeka Okoye, Junyou Yang, Yunlu Li
Summary: This paper discusses how to improve the reliability prediction of the generation system by combining artificial neural networks with Monte Carlo simulation techniques, achieving significant progress.
Article
Engineering, Civil
Fereidoun Amini, Maryam Bitaraf, Mohammad Seddiq Eskandari Nasab, Mohammad Mahdi Javidan
ENGINEERING STRUCTURES
(2018)
Article
Computer Science, Interdisciplinary Applications
Mohammad Mahdi Javidan, Jinkoo Kim
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2019)
Article
Construction & Building Technology
Mohammad Mahdi Javidan, Jinkoo Kim
JOURNAL OF STRUCTURAL ENGINEERING
(2019)
Article
Multidisciplinary Sciences
Mohammad Mahdi Javidan, Jinkoo Kim
SCIENTIFIC REPORTS
(2020)
Article
Computer Science, Interdisciplinary Applications
Mohammad Mahdi Javidan, Jinkoo Kim
Summary: The study introduces a fuzzy-based method to approximate the seismic performance of structures with lack of structural information, demonstrating its accuracy and applicability through statistical studies, empirical formulas, and alternative analysis methods, with validation on two real structures. The proposed approach offers a time-saving and cost-effective alternative to costly and time-consuming site evaluations.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Construction & Building Technology
Mohammad Mahdi Javidan, Jinkoo Kim
Summary: In this study, a ductile bracing system with a rotational friction damper joint is proposed for seismic design and retrofitting of structures. The system's behavior is thoroughly studied and a design procedure is provided. The results demonstrate the efficiency of the proposed system and design process.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Mohammad Mahdi Javidan, Jinkoo Kim
Summary: This research introduces an integrated system tool in MATLAB for evaluating seismic performance, fragility, and life-cycle costs of structures using conventional procedures. Results show that the system can approximate analysis results with reasonable accuracy and computational demands, providing an acceptable tradeoff for intensive computations.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Civil
Mohammad Seddiq Eskandari Nasab, Mohammad Mahdi Javidan, Seungho Chun, Jinkoo Kim
Summary: A VED with fail-safe mechanism was developed and its seismic performance was evaluated through experiments on RC frame structures. The Bouc Wen model accurately simulated the seismic behavior of the VED, demonstrating its effectiveness in improving seismic performance of structures.
Article
Green & Sustainable Science & Technology
Mohammad Mahdi Javidan, Jinkoo Kim
Summary: This research provides a brief review and development of local sensitivity analysis in fuzzy randomness theory for structural engineering. It extends several classic sensitivity tests to this uncertainty model and demonstrates their multidisciplinary application in engineering through numerical examples. The visualization technique provided helps in interpreting the results.
Article
Construction & Building Technology
Mohammad Mahdi Javidan, Jinkoo Kim
Summary: The main aim of this study is to propose a simplified ductility-based seismic retrofit procedure for buildings, aiming to meet specific performance limit states. Through numerical iteration methods, the proposed procedure efficiently distributes hysteretic devices and estimates the performance of the structure.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Mohammad Mahdi Javidan, Amir Ali, Jinkoo Kim
Summary: This paper proposes a steel hysteretic damper that can be installed at the beam-column joint of precast concrete structures to greatly improve their seismic performance. Through design and performance estimation, the efficiency of the damper is investigated and verified using a practical case study. The results demonstrate the effectiveness of the proposed damper in reducing interstory drift ratio and preventing global collapse of the structure.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Mohammad Mahdi Javidan, Seungho Chun, Jinkoo Kim
Summary: This research evaluates the seismic performance of a steel column damper through testing and retrofit of two RC frames, analyzing parameters such as hysteretic behavior, energy dissipation, crack pattern, failure mechanism, and damper behavior. The results show that the presented damper efficiently reduces inter-story drifts and structural damage, providing guidelines for nonlinear analysis and retrofit of RC structures.
STEEL AND COMPOSITE STRUCTURES
(2021)
Article
Construction & Building Technology
Mohammad Mandi Javidan, Mohammad Seddiq Eskandari Nasab, Jinkoo Kim
Summary: A steel multi-slit damper (MSD) was developed for seismic retrofit of school buildings in Korea, improving the seismic performance to meet a given target level. Experimental results demonstrated the effectiveness of this retrofit strategy in enhancing the structure's seismic performance.
STEEL AND COMPOSITE STRUCTURES
(2021)
Article
Construction & Building Technology
Mohammad Mandi Javidan, Jinkoo Kim
STEEL AND COMPOSITE STRUCTURES
(2020)
Article
Engineering, Civil
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
