Article
Engineering, Civil
Youliang Fang, Pengrui Su, Jingyu Shao, Jiaqi Lou, Ying Zhang
Summary: Model updating of large-scale structures for damage identification using frequency response function (FRF) is challenging due to the complexity of global system matrices. A substructure damage identification method based on acceleration FRF model updating is proposed in this paper, which simplifies the model and improves the identification stability by introducing L1 norm regularization. Numerical simulation and experiments have confirmed the effectiveness and robustness of the proposed method.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2021)
Article
Engineering, Mechanical
Pinghe Ni, Qiang Li, Qiang Han, Kun Xu, Xiuli Du
Summary: This study proposes a Bayesian probabilistic model updating approach for substructure identification, which evaluates the uncertainties in identified results by analyzing the responses of large-scale structures. Numerical experiments on a three-span beam structure and experimental studies on an eight-floor steel frame were conducted to verify the accuracy and efficiency of the proposed method, and the results demonstrate its effectiveness.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Chemistry, Analytical
Yunfeng Zou, Xuandong Lu, Jinsong Yang, Tiantian Wang, Xuhui He
Summary: This paper proposes a novel structural damage identification method based on transmissibility in the time domain, which improves efficiency and accuracy. Experimental results demonstrate the effectiveness and robustness of the method.
Article
Acoustics
Shahriar Baybordi, Akbar Esfandiari
Summary: This paper presents an innovative explicit sensitivity equation for structural parameters estimation using time domain data. The proposed equation provides a linear relation between time history response and variation of structural parameters. The accuracy of the method is validated through numerical examination in various damage scenarios, and crucial issues such as equation weighting, measurement, and modeling errors are investigated. The results show the robustness and accuracy of the proposed method and the advantages over derivation-based method and Direct Differentiation Method (DDM).
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Acoustics
Shahriar Baybordi, Akbar Esfandiari
Summary: This paper introduces an innovative explicit sensitivity equation for structural parameter estimation using time domain data. By incorporating incomplete measured responses of damaged structures, the accuracy of the method is examined in various damage scenarios. The proposed method shows robustness and accuracy in identifying structural parameters subjected to impact and single harmonic excitation loads, with advantages over derivation-based and Direct Differentiation Method (DDM) approaches.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Mechanical
Klemen Zaletelj, Domen Gorjup, Janko Slavic, Miha Boltezar
Summary: Model updating improves the correlation between the real structure response and the finite-element model response. The selection of updating parameters is crucial for success. Full-field modal shapes can update a large number of parameters, but the structural response may not be sensitive to arbitrary parameters, and computation of the full sensitivity matrix is not feasible for large FE models. This research investigates updating parameters based on the curvature of 3D experimental shape, and successfully applies the proposed method to numerical and real experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Marine
Ahmad Izadi, Akbar Esfandiari
Summary: This study presents a novel sensitivity-based finite element model updating approach to estimate structural parameters using output-only data. An exact sensitivity relation based on transmissibility data is introduced to improve the accuracy of the sensitivity relationship. The performance of the proposed method is evaluated based on numerical data of an offshore jacket platform model, and the stability of the method against measurement and mass modelling errors and incompleteness of the measured responses is studied.
SHIPS AND OFFSHORE STRUCTURES
(2023)
Article
Engineering, Mechanical
Pinghe Ni, Qiang Han, Xiuli Du, Xiaowei Cheng
Summary: The article proposes a novel likelihood-free Bayesian inference method for structural parameter identification, which combines an adaptive Gaussian surrogate model with the transitional Markov chain Monte Carlo method. The method is used to estimate posterior probabilities of unknown structural parameters and has been shown to be more efficient than traditional sampling methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Civil
Yong-peng Luo, Jin-ling Zheng, Meng Yuan, Lin-kun Wang, Xu Guo, Jing-liang Liu
Summary: This paper proposes a novel method for structural damage identification by using the similarity measurement of the cloud model based on response surface model updating while considering measurement noise. The method quantifies the measurement noise of the structural response using the numerical characteristics of the cloud model and performs damage diagnosis using model updating techniques.
JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING
(2022)
Article
Engineering, Civil
D. Dinh-Cong, T. Nguyen-Thoi
Summary: This paper presents a probabilistic damage identification approach for functionally graded materials (FGM) structures, which can effectively deal with spatial incomplete and contaminated data. The approach utilizes a model updating procedure based on incomplete frequency response function (FRF) data with measurement noise. It also introduces a novel meta-heuristic algorithm called bald eagle search algorithm (BES) for the optimization process. The performance of the proposed model updating procedure is verified using three FGM structures, showing high confidence in damage localization prediction and acceptable errors in damage estimation under high noise levels.
Article
Engineering, Civil
Emre Alpaslan, Zeki Karaca
Summary: The study investigates damage detection in a masonry arch bridge through experimental and numerical analyses. Operation modal analysis was performed on a reduced-scale bridge model to determine modal parameters, while the EFDD technique was used to analyze experimental frequencies and modes. Comparison between experimental and numerical results showed the effectiveness of RS-based FE updating approach for damage detection and localization in masonry structures.
STRUCTURAL ENGINEERING AND MECHANICS
(2021)
Article
Engineering, Civil
Kumar Anjneya, Koushik Roy
Summary: Response surface methodology (RSM) is more efficient than finite element model (FEM) based updating techniques in updating a model. RSM can replace the time-consuming FEM-based updating step with a response surface-based surrogate model, while also solving the slow convergence and time consumption issues. The study showed that RSM is applicable for damage identification, with the RS equations generated from modal parameters being equally efficient in detecting and localizing damage in shear buildings.
Article
Engineering, Mechanical
K. Zhou, J. Tang
Summary: The paper presents an efficient framework based on Gaussian process emulation for inverse identification of model parameters, using a multi-response Gaussian process meta-modeling approach to construct error response surfaces. An adaptive sampling strategy and two stochastic optimization techniques are employed for training the model, resulting in accurate and robust model updating.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Mechanical
Zhiming Zhang, Chao Sun, Beibei Guo
Summary: The study aims to minimize the influence of modeling uncertainty by proposing a methodology that combines pattern recognition methods with Bayesian model updating to guide structural damage identification.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Geochemistry & Geophysics
Sergio Romahn, Kristopher A. Innanen, Gary F. Margrave
Summary: An inversion approach for near-offset seismic reflection data, known as LVWI, is developed based on FWI workflows. The workflow includes simulation, depth migration, impedance inversion, and model validation. Results indicate that wavelet updates and well-log calibration can help mitigate cycle skipping and overcome local minima.
Article
Construction & Building Technology
Mingqiang Xu, Jun Li, Shuqing Wang, Hong Hao, Huiyuan Tian, Jie Han
Summary: The paper proposes a vibration-based structural damage detection approach that can effectively handle the impact of environmental variations and random errors, while also considering the problem of missing data.
ADVANCES IN STRUCTURAL ENGINEERING
(2022)
Article
Construction & Building Technology
Zhen Peng, Jun Li
Summary: This paper proposes a method that integrates phase space reconstruction and Koopman operator to linearize strongly nonlinear systems and applies it to structural damage detection. By handling nonlinear vibration responses as a superposition of nonlinear coordinate bases, the condition change of structures with initial nonlinearity can be identified. The eigen-frequencies extracted from the Koopman operator serve as damage features, and the superiority of the proposed approach is demonstrated compared to traditional methods.
ADVANCES IN STRUCTURAL ENGINEERING
(2022)
Article
Engineering, Civil
Gao Fan, Zhengyan He, Jun Li
Summary: This paper proposes a novel approach using self-attention mechanism enhanced generative adversarial network (SAGAN) for recovering lost data in structural health monitoring. Experimental validation shows the effectiveness and robustness of SAGAN in reconstructing responses under different excitations. The self-attention module in SAGAN benefits the learning of data features and improves the establishment of mappings between responses.
ENGINEERING STRUCTURES
(2023)
Review
Engineering, Civil
Hong Hao, Kaiming Bi, Wensu Chen, Thong M. Pham, Jun Li
Summary: The design philosophy of civil engineering structures has evolved from strength-based to performance-based, and is now focusing on resilience-based design. This paper discusses the necessity, challenge, and opportunity for the development of the next generation design of sustainable, durable, multi-hazard resistant, resilient and smart civil engineering structures, and identifies five key aspects for their construction.
ENGINEERING STRUCTURES
(2023)
Article
Construction & Building Technology
Weiwei Zhang, Chuang Wang, Jun Li, Hong Hao, Hongwei Ma
Summary: This paper proposes a crack detection method for rail joint screw holes based on the ultrasonic nonlinearity. Experimental and numerical studies are conducted to verify the method's performance. Spectral analysis and Wavelet Packet Decomposition (WPD) are used to process the ultrasonic signals. It is found that the damage index (DI) relating to the third harmonic increases linearly with the growth of the crack, providing a basis for crack detection and quantification.
ADVANCES IN STRUCTURAL ENGINEERING
(2023)
Article
Engineering, Civil
Dong Tan, Jun Li, Hong Hao, Zhenhua Nie
Summary: This paper proposes a target-free vision-based approach for dynamic displacement measurement and modal identification of simply-supported bridges using a single camera. A series of videos are captured and processed to achieve high accuracy. The proposed approach can accurately measure displacement and identify the vibration characteristics of the bridge.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Haowei Zhang, Kang Gao, Huiying Huang, Shitong Hou, Jun Li, Gang Wu
Summary: This paper proposes a fully decouple convolutional neural network with an anchor-free mechanism for non-destructive identification of structures with internal damages. Two 3D cylinder IoU optimization and evaluation algorithms are designed to improve model training effect and estimate model performance. Datasets of random damages of rebars in RC beams are established based on the secondary development of ABAQUS to overcome the challenges of time consumption and difficulty in dataset generation and preparation. The presented model achieves high accuracy and outperforms traditional coupled networks, showing its potential for internal damage detection in other components and providing a new idea for the internal non-destructive health monitoring of prefabricated structures.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Yu Xin, Zuo-Cai Wang, Jun Li, Zi-Qing Yuan, Chao Li, Wei-Chao Hou
Summary: A Bayesian based nonlinear model updating approach is proposed to enhance the post-earthquake reliability assessment of posttensioned segmental column structures. Dynamic global sensitivity analysis (DGSA) is performed to select appropriate parameters for model updating. Bayesian estimation is used to construct likelihood function based on the residual errors between measured and simulated dynamic responses. The proposed approach is validated through numerical simulations and experimental results.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Wenhao Zheng, Jun Li, Qilin Li, Hong Hao
Summary: This research proposes a transformer-based generative adversarial network (GAN) to reconstruct lost measurements from observed measurements. Experimental results demonstrate that lost responses can be reconstructed accurately, even when a large proportion of data are lost.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2023)
Article
Engineering, Civil
Yanda Shao, Ling Li, Jun Li, Qilin Li, Senjian An, Hong Hao
Summary: This paper proposes a new system for measuring 3D vibration displacement using a single camera. Instead of using multi-view geometry, deep neural networks are utilized to learn the depth of scenes from monocular images. Experimental results demonstrate that the proposed monocular 3D displacement system is able to produce reasonable 3D full-field displacement measurement, with obvious advantages in cost and convenience compared to traditional sensor-based or multi view CV-based methods.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Zhen Peng, Jun Li, Hong Hao
Summary: A single-board computer-based IoT sensing system is developed for continuous and real-time drive-by bridge health monitoring. The system integrates a triaxial MEMS accelerometer, temperature sensor, GPS and 4G module on a Raspberry Pi 4 Model B. The collected data is sent to both cloud server and remote terminal computer for analysis. Rating: 8/10
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Zhen Peng, Jun Li, Hong Hao, Ning Yang
Summary: This paper proposes a mobile crowdsensing framework that uses sparse drive-by measurements to identify dense spatial-resolution bridge mode shapes. The proposed method converts mode shape identification into an optimization problem with two objective function terms. Numerical and experimental studies demonstrate the feasibility and advantages of the proposed model in efficiently identifying bridge mode shapes with desirable accuracy. The method is also robust to variations in vehicle mass and speed.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Civil
Han Li, Jun Li, Hong Hao, Zhen Peng
Summary: A damage assessment method based on analyzing nonlinear structural dynamic responses is proposed in this study for monitoring the condition of precast segmental beams. By measuring the dynamic responses and performing adaptive decomposition and frequency analysis, two damage indicators are introduced to determine the occurrence and severity of damage. The feasibility and accuracy of the proposed method are verified through experiments.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Engineering, Multidisciplinary
Ruhua Wang, Yanda Shao, Qilin Li, Ling Li, Jun Li, Hong Hao
Summary: Conventional structural health monitoring (SHM) is limited in large-scale usage due to the need for expensive specialized equipment and labor. Computer vision techniques offer cost-effective solutions for SHM and have shown to produce reliable condition diagnoses using image data. This article proposes a transformer-based neural network for vision-based structural condition assessment, achieving accurate component and damage segmentation results on a railway viaduct dataset. The proposed approach outperforms existing methods and provides meaningful information for downstream SHM tasks.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Engineering, Civil
Dong Tan, Zhenghao Ding, Jun Li, Hong Hao
Summary: This paper proposes a method for measuring vibration displacement and identifying damage in a space truss structure from vibration videos. The method combines the FAST algorithm with adaptive threshold strategy to detect feature points in the ROI. These points are then tracked using the KLT algorithm to obtain vibration displacement time histories. The accuracy and effectiveness of the method are verified by comparing the identified results with ground truth data.
SMART STRUCTURES AND SYSTEMS
(2023)
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)
