Article
Computer Science, Interdisciplinary Applications
YiFei Li, MaoSen Cao, Tran N. Hoa, S. Khatir, Hoang-Le Minh, Thanh SangTo, Cuong-Le Thanh, Magd Abdel Wahab
Summary: In this study, a method called Metamodel Assisted Hybrid of Particle Swarm Optimization with Genetic Algorithm (MA-HPSOGA) is developed to identify unknown structural dynamic parameters. The method constructs four metamodels to substitute computationally expensive numerical analysis and selects the most suitable metamodel combined with a hybrid optimization strategy. The effectiveness and practicality of the method are verified using two examples with measured vibration response data. The results show that the MA-HPSOGA has high computational efficiency and accuracy, and outperforms conventional iteration-based dynamic parameter identification methods.
ADVANCES IN ENGINEERING SOFTWARE
(2023)
Article
Computer Science, Interdisciplinary Applications
Yijian Zhang, Iris Tien
Summary: This paper presents a new methodology based on conjugate Bayesian updating to efficiently and accurately update analytical fragility curves. The reduction in computational cost from both reducing the number of analyses required and simplifying the structural complexity are investigated.
COMPUTERS & STRUCTURES
(2022)
Article
Construction & Building Technology
Shi-Wei Lin, Yan-Liang Du, Ting-Hua Yi, Dong-Hui Yang
Summary: This study proposes a model updating method for the boundary conditions of suspension bridges' main girders based on influence lines, and the results show that the boundary conditions have been successfully estimated and the accuracy of model updating has been improved after considering the boundary conditions.
ADVANCES IN STRUCTURAL ENGINEERING
(2023)
Article
Acoustics
Ali Karimpour, Salam Rahmatalla
Summary: Accurately determining both global and local modal information is crucial in structural model updating processes. The Extended Empirical Wavelet Transformation (EEWT) method proposed in this study allows for accurate extraction of modal information under transient excitations. Experimental implementation of the EEWT method in two problems demonstrated its effectiveness in identifying structural properties and boundary coefficients.
JOURNAL OF SOUND AND VIBRATION
(2021)
Article
Construction & Building Technology
Lanxin Luo, Ye Xia, Ao Wang, Xiaoming Lei, Xudong Jian, Limin Sun
Summary: This study proposes a new method for updating FE models in real time by directly applying massive structural and traffic data, achieving good results. Experimental results show that the updated FE model significantly improves in both dynamic and static aspects, with an average 75% reduction in static error indexes.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Engineering, Civil
Shi-Wei Lin, Yan-Liang Du, Ting-Hua Yi, Song-Han Zhang, Dong-Hui Yang
Summary: This paper proposes a multiscale modeling and updating framework for suspension bridges based on measured modal frequencies and influence lines. The substructure method and the multipoint constraint method are used to create a multiscale model, while the Gaussian process metamodel is utilized for model updating. A case study demonstrates the effectiveness of the framework, showing that the updated frequencies and influence lines are closer to the measured values, and computational efficiency is improved. Overall, the proposed method efficiently and accurately builds a multiscale model of suspension bridges.
JOURNAL OF BRIDGE ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Jiawang Zhan, Chuang Wang, Zhiheng Fang
Summary: This study investigates the assessment of joint conditions in steel truss bridges using PNN and FE model updating technique, developing a two-step identification procedure and validating the method by simulating various damages. The results show the effectiveness of the approach even under the influence of noise.
Article
Engineering, Civil
Wenqin Deng, Duo Liu, Zongqing Peng, Jiandong Zhang
Summary: This study investigated the torsion and distortion properties of a cantilever single-box three-cell composite girder bridge with corrugated steel webs through experimental testing and finite element model analysis. The results showed that the longitudinal warping strain of the CSWs is smaller than that of the concrete slabs, with the maximum warping normal stress occurring at the corners of the bottom concrete slab. Additionally, the additional shear stress of the steel webs distributes uniformly along the girder height, with greater stress on the loading side compared to the middle.
KSCE JOURNAL OF CIVIL ENGINEERING
(2021)
Article
Mathematics
Jorge Grasa, Begona Calvo
Summary: The study compared the dynamic implicit and dynamic explicit solutions for simulating the movement of the eye ball induced by the extraocular muscles. The results showed that the implicit dynamic method achieved a significant reduction in computational time while producing similar simulation outcomes.
Article
Chemistry, Multidisciplinary
Monica Tatarciuc, George Alexandru Maftei, Anca Vitalariu, Ionut Luchian, Ioana Martu, Diana Diaconu-Popa
Summary: The study evaluated the stability and stress on supporting teeth of inlay-retained dental bridges using the finite element method (FEM) under masticatory forces. The analysis revealed that the stress from loading force does not cause damage to the prosthetic device or abutment teeth.
APPLIED SCIENCES-BASEL
(2021)
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)
Article
Physics, Multidisciplinary
Ashok Kumar Bagha, Shivashrit Tiwari, Shivani Kumari, Rahul Samyal, Raman Bedi, Nitin Sharma, Shashi Bahl
Summary: In this paper, the application of microwave joining in metal connections is studied. Both experimental and simulation methods are used to investigate the characteristics of welded lap joints. The natural frequencies of the welded specimens are measured using experimental modal analysis, and the simulated finite element model is updated using a direct updating algorithm. The results show that the proposed algorithm can reduce the error between the simulated and experimental natural frequencies.
Article
Construction & Building Technology
Norbert Jendzelovsky, Katarina Tvrda
Summary: This study investigated reinforced concrete piles in a flexible half-space under external loads, considering different contact elements and the pile-ground connection. A static model of the pile and surrounding subsoil was created using FEM software. The analysis focused on describing various contact elements between the pile and ground. The results provide valuable insights for engineers in the construction industry.
Review
Engineering, Civil
Suzana Ereiz, Ivan Duvnjak, Javier Fernando Jimenez-Alonso
Summary: This paper reviews the process and methods of Finite Element Model Updating (FEMU) and provides the appropriate methods for solving certain issues. By combining numerical modeling and experimental investigations, the differences between actual structural behavior and predicted behavior can be minimized, allowing for the determination of the true resistance of the structure.
Article
Physics, Multidisciplinary
Shivam Verma, Saurabh Kango, Ashok Kumar Bagha, Shashi Bahl
Summary: This paper proposes a finite element model updating algorithm to enhance the accuracy of the simulated finite element model of a smart structure. The direct updating algorithm is used to reduce uncertainties in the structure. It is found that updating the mass and stiffness matrices successfully improves the accuracy of the finite element model.
Article
Engineering, Multidisciplinary
Jianxin Cao, Yang Liu, Changping Li
Summary: A method for damage cross-detection between bridges monitored within one cluster is proposed, utilizing the difference ratio of projected strain monitoring data. A damage feature is established based on the difference ratio of projected strain monitoring data from bridges with similar structural characteristics, and a damage detection index is presented by calculating the subspace angle between two damage features to detect damage within the cluster. Numerical simulation examples and actual bridge monitoring data are used to analyze the proposed method's application limitations, noise resistance performance, and structural damage sensitivity.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Changxi Yang, Shaoyi Zhang, Yang Liu, Kaiping Yu
Summary: The study proposes a method based on the narrow dimension (CND) of damage features for detecting damage in actual bridges under changing environmental temperatures. It addresses the lack of research on distinguishing and selecting suitable damage features for this type of method, aiming to improve the validity of damage detection. The method, combined with novelty detection and variational mode decomposition, is demonstrated to be effective through numerical simulations and examples of actual bridges.
Article
Engineering, Civil
Jianxin Cao, Shaoyi Zhang, Yang Liu
Summary: A probabilistic SDDLV method is proposed to address the issue of reduced accuracy under changing environmental temperatures. This method generates damage location vectors using acceleration monitoring data, utilizes a probabilistic finite element model instead of a regular one, and determines damage localization threshold based on probability characteristics, successfully localizing structural damage of multiple bridges within one cluster.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Engineering, Multidisciplinary
Jianxin Cao, Zheng Zhou, Yang Liu
Summary: This paper proposes a damage localization method for prefabricated bridges group based on the area-ratio of the strain time-history curve. It can accurately localize damage in prefabricated beam bridges within a continuous elevated corridor. The method does not require historical health data or a finite element model as a reference, and demonstrates good effectiveness and anti-noise performance.
Article
Engineering, Multidisciplinary
Jianxin Cao, Yang Liu
Summary: This paper proposes a damage localization method for bridges monitored within one cluster. By establishing a spatiotemporal correlation model of strain monitoring data and combining with abnormal diagnosis theory, precise damage localization is achieved.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Construction & Building Technology
Feng Liu, Qianen Xu, Yang Liu
Summary: A method for correcting the strain data measured by surface bonded distributed optical fiber sensors in civil structures is proposed. By establishing a strain transfer model and updating shear lag parameters, the accuracy of strain measurements can be improved.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Yang Liu, Mingxin Gao
Summary: A method based on the baseline model of the visual characteristics of images (BMVCI) is proposed to detect cracks in concrete structures. Compared with edge detection methods, BMVCI expands the quasi-distance between crack edges and image background, improving crack detection accuracy. Moreover, the method achieves higher computational efficiency and accuracy compared to deep learning methods.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Green & Sustainable Science & Technology
Zheng Zhou, Kaizhi Dong, Ziwei Fang, Yang Liu
Summary: This study proposes a structural damage detection method based on Distributed Fiber Sensing technology, combining the MSEBI method with ANN and PSO algorithms. By utilizing the distributed strain measurement, high-precision damage localization and quantification are achieved, and validation is conducted with a bridge-like structure.
Article
Green & Sustainable Science & Technology
Shaoyi Zhang, Yongliang Wang, Kaiping Yu
Summary: In bridge structural health monitoring systems, a steady-state data baseline model is proposed to reduce the nonstationary effects caused by environmental and traffic loads, which improves the modeling accuracy and provides useful information for subsequent damage identification.
Article
Engineering, Multidisciplinary
Zheng Zhou, Yang Liu, Hongzhe Dai
Summary: The closed-loop damage diagnosis method has been significantly improved in recent years. However, the use of closed-loop eigenvectors in previous research was limited by inadequate measurement points. With the development of fully distributed optical fiber sensing technology, this study investigates the use of high-density strain measurements for sensitivity enhancement in strain-based output feedback. A sensitivity-based damage diagnosis method is proposed, optimized for sensitivity and robustness, resulting in improved accuracy and stability in closed-loop damage identification.
Article
Engineering, Multidisciplinary
Zheng Zhou, Yang Liu, Hu Li
Summary: A method for convergence monitoring in shield tunnels considering the flattening effect is proposed based on distributed Brillouin optical time-domain analysis technology. The effectiveness of the method is validated through numerical simulation and practical application, which demonstrates high accuracy and robustness in convergence monitoring.
Article
Engineering, Multidisciplinary
Yuyin Jiang, Yang Liu, Xingyu Zhou
Summary: Bridge supports are crucial for load resistance, and separation disease in these supports jeopardizes the structural safety of the bridge. Few studies have used measured data to diagnose support separation disease, highlighting the need for more research. To address this, a grading diagnosis method is proposed in this study using the difference in probability density function of measured data for beam bridge supports within one cluster. The proposed method, validated by numerical examples and real bridge data, shows effectiveness in diagnosing support separation disease and is suitable for application to actual bridges.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Construction & Building Technology
Qianen Xu, Zheng Zhou, Yang Liu
Summary: In this study, a cross-diagnosis method based on distributed strain data spatial window is proposed for accurately diagnosing the structural condition of a long-span suspension bridge. The method divides the distributed strain data into different spatial windows and separates the temperature effect from the strain monitoring data using the special symmetry of the environmental temperature effect. A diagnosis index of the structural condition is generated using a convolutional neural network, which effectively reflects the variation in the distributed strain correlation model caused by the damaged condition of the bridge.
STRUCTURAL CONTROL & HEALTH MONITORING
(2023)
