Review
Engineering, Industrial
Fei Tao, Bin Xiao, Qinglin Qi, Jiangfeng Cheng, Ping Ji
Summary: This paper provides a systematic research on the current studies of digital twin modeling and conducts a comprehensive and insightful analysis of digital twin models. It also investigates and summarizes the enabling technologies and tools for digital twin modeling and presents observations and future research recommendations.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Chemistry, Analytical
Adriana Marra, Salvatore Gerbino, Alessandro Greco, Giovanni Fabbrocino
Summary: Protecting artistic and cultural heritage presents a major challenge due to unique characteristics and exposure to natural hazards. Utilizing a combination of traditional methods and novel digital technologies is key to assessing and safeguarding these assets effectively.
Article
Computer Science, Interdisciplinary Applications
Jie Li, Zili Wang, Shuyou Zhang, Yaochen Lin, Lanfang Jiang, Jianrong Tan
Summary: This paper proposes a task incremental learning-based approach for digital-twin predictive modeling, which establishes a DT framework and information model, fine-tunes the model with pre-trained models and new task data, and achieves accurate prediction of customized metal tube bending forming process.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Engineering, Multidisciplinary
Iqbal Younus, Wahda Al-Hinkawi, Sabeeh Lafta
Summary: The preservation of cultural heritage and physical structures is crucial for preserving the identity and memory of populations and building cities. The concept of Historic Building Information Modeling (HBIM) has emerged as a technique for accurately modeling and disseminating architectural heritage. This research focuses on creating an action plan for preserving the Khan Hamu Quddo mosque in Mosul, which was destroyed during military operations. The study highlights the role of HBIM in preventing the extinction of heritage and connecting the nation's past with its future.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Archaeology
Yoonjo Choi, Yun-Jung Yang, Hong-Gyoo Sohn
Summary: Recent developments in geospatial information technology have enabled researchers to utilize geospatial information for decision making in disaster situations. Preservation of cultural properties is crucial as they reflect local characteristics and knowledge, and a method using geospatial information to enhance cultural heritage resilience in disasters has been proposed in this paper. The proposed method has been shown to minimize damage to cultural assets and enhance their resilience in disasters.
JOURNAL OF CULTURAL HERITAGE
(2021)
Article
Construction & Building Technology
Xiangxiong Kong, Ronny Garrett Hucks
Summary: Preserving historic structures is a challenge worldwide, and digital twin technology has shown promise in assessing structural deteriorations. This paper introduces a novel methodology for health monitoring of historic structures by combining photogrammetry technologies and point cloud processing algorithms into a digital twin framework.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Green & Sustainable Science & Technology
Karol Krol, Dariusz Zdonek
Summary: New communication channels and methods for retrieving information can provide precise data describing how cultural heritage is perceived, protected, promoted, and shared. This study aimed to identify the context and frequency of cultural heritage topics in Google search engine queries. The research revealed that Polish and English users were interested in similar phrases, suggesting that language might not impact the thought processes of internet users.
Article
Engineering, Electrical & Electronic
Qinglei Zhang, Zhen Liu, Jianguo Duan, Jiyun Qin
Summary: Digital twin technology can provide real-time mapping, prediction, and optimization of the manufacturing process. The proposed digital twin framework uses incremental learning driven by stream data for equipment operation state modeling and anomaly detection. Experimental results show that this method can achieve job state mapping and state change quickly, effectively, and flexibly.
Article
Architecture
Claudia Canuti, Sandro Carbonari, Andrea Dall'Asta, Luigino Dezi, Fabrizio Gara, Graziano Leoni, Michele Morici, Enrica Petrucci, Andrea Prota, Alessandro Zona
Summary: This paper analyzes the damage observed from post-earthquake investigations on churches in the Marche Region struck by the 2016 Central Italy seismic sequence. Data collected by teams of structural engineers was processed to evaluate damage and vulnerability of religious buildings in the region. The overall damage of the sample was compared to empirical models and previous studies.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2021)
Article
Automation & Control Systems
Chenghui Zhou, Feifei Zhang, Bo Wei, Yangjun Lin, Kai He, Ruxu Du
Summary: This paper introduces the application of digital twin in metal sheet deformation, proposes a digital twin-based stamping system, and demonstrates its application in incremental bending process. Results show that the proposed DTSS has good accuracy, high efficiency, and feasibility.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Jiqun Song, Shimin Liu, Tenglong Ma, Yicheng Sun, Fei Tao, Jinsong Bao
Summary: This paper proposes a rapid transferable modeling approach for digital twin models, aiming to improve the modeling efficiency and resilience of digital twin models by reusing the multidimensional information of existing models. The approach provides a unified mapping and digital representation of physical entities based on information metamodels, and offers transferable approaches for the geometry dimension, behavior dimension, and algorithm dimension.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Wenjie Jia, Wei Wang, Zhenzu Zhang
Summary: The digital twin has gained widespread attention in recent years as a key tool for digitalization and intelligence, but has become increasingly complex due to the expanding needs for multi-scale and multi-scenario simulations in reality. This paper proposes a novel modeling method for complex digital twins based on standardized processing of model division and assembly, enabling the construction of intricate digital twin models with effective elements in specific scales and scenarios through information fusion, multi-scale association, and multi-scenario iterations. This approach also allows for rapid development of digital twins through component and code reuse.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Geosciences, Multidisciplinary
Kenta Tozato, Shinsuke Takase, Shuji Moriguchi, Kenjiro Terada, Yu Otake, Yo Fukutani, Kazuya Nojima, Masaaki Sakuraba, Hiromu Yokosu
Summary: This study presents a framework for rapid tsunami force predictions using mode-decomposition-based surrogate modeling. The framework captures the temporal and spatial characteristics of tsunami forces through large-scale numerical simulations and constructs a surrogate model for instant predictions. A numerical example validates the effectiveness of this framework in evaluating time-series data of hydrodynamic force.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Jinfeng Liu, Xiaojian Wen, Honggen Zhou, Sushan Sheng, Peng Zhao, Xiaojun Liu, Chao Kang, Yu Chen
Summary: This paper presents a multidimensional modeling approach for machining processes using Digital Twin technology, which supports the design and execution phases of intelligent machining. The effectiveness of the applied framework and the proposed method is verified through testing key components of diesel engines.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Materials Science, Multidisciplinary
Oliver Dobrich, Christian Brauner
Summary: This paper introduces a vision system based on a Microsoft Azure Kinect RGB-D camera, which is used to digitize the configuration of composite preforms by evaluating the achieved local fiber orientation through digital image processing of the complex preform draping process. A digital workflow is introduced to feed the captured real-world data back into a digital environment for numerical simulations. The obtained results are used for assessing production quality and composite performance.
FRONTIERS IN MATERIALS
(2023)
Article
Engineering, Multidisciplinary
Elisabetta Farneti, Nicola Cavalagli, Mario Costantini, Francesco Trillo, Federico Minati, Ilaria Venanzi, Filippo Ubertini
Summary: Synthetic Aperture Radar Interferometry (InSAR) using satellite data is a promising tool for monitoring long-term deformation phenomena in critical infrastructural systems. However, its use in structural engineering, especially for bridge structures, is still limited. This paper proposes a post-processing methodology to derive two-dimensional displacement configurations of multi-span bridges with properly defined error bounds. The proposed method has been applied to the case study of the collapsed Albiano-Magra Bridge in Italy, demonstrating its effectiveness in supporting engineering assessments.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Review
Engineering, Geological
Laura Ierimonti, Nicola Cavalagli, Ilaria Venanzi, Enrique Garcia-Macias, Filippo Ubertini
Summary: Many countries, including Italy, face the challenge of promptly quantifying post-earthquake damages to their historical heritage. This research proposes a novel approach for structural condition assessment by aggregating different sources of information, such as monitoring and visual inspection, to make risk-informed decisions. The proposed approach includes vibration-based system identification, finite element modeling, Bayesian-based model updating, and visual inspections.
BULLETIN OF EARTHQUAKE ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Valentina Giglioni, Ilaria Venanzi, Valentina Poggioni, Alfredo Milani, Filippo Ubertini
Summary: This paper proposes an unsupervised learning method based on autoencoders for damage detection. The method can work at the single sensor level and utilizes ensemble learning strategy to combine predictive models. Experimental results show that the proposed method is effective for local damage detection with limited computational effort and a limited number of sensors, making it suitable for real-time bridge assessment.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Construction & Building Technology
Anastasios Drougkas, Vasilis Sarhosis, Muhammed Basheer, Antonella D'Alessandro, Filippo Ubertini
Summary: Structural health monitoring is important for assessing building and infrastructure performance, especially after critical events or structural interventions. Smart sensors based on construction materials offer a promising solution for inconspicuous and compatible monitoring of historic structures. In this paper, an experimental investigation of smart intervention materials for historic masonry structures is presented, which showed improvements in both mechanical properties and piezoresistivity.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Materials Science, Composites
Hasan Borke Birgin, Antonella D'Alessandro, Andrea Meoni, Filippo Ubertini
Summary: This paper proposes a new sustainable earth-cement building composite with multifunctional sensing features and investigates its properties through an experimental campaign. The proposed material couples the construction performance with self-sensing properties in order to monitor the structural performance during the servile life of the building. The results show that the samples with a filler percentage near the percolation zone, ranged between 0.025 and 0.25%, exhibit the best performance.
JOURNAL OF COMPOSITES SCIENCE
(2023)
Article
Construction & Building Technology
Hasan Borke Birgin, Enrique Garcia-Macias, Antonella D'Alessandro, Filippo Ubertini
Summary: Overloaded vehicles accelerate the degradation of road infrastructures. Recent advances in multifunctional composites have enabled the development of smart pavements as a cost-effective alternative. However, stable power supply remains a practical limitation.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Multidisciplinary
Simon Laflamme, Filippo Ubertini, Alberto Di Matteo, Antonina Pirrotta, Marcus Perry, Yuguang Fu, Jian Li, Hao Wang, Tu Hoang, Branko Glisic, Leonard J. Bond, Mauricio Pereira, Yening Shu, Kenneth J. Loh, Yang Wang, Siqi Ding, Xinyue Wang, Xun Yu, Baoguo Han, Yiska Goldfeld, Donghyeon Ryu, Rebecca Napolitano, Fernando Moreu, Giorgia Giardina, Pietro Milillo
Summary: Structural health monitoring (SHM) is the automation of assessing the condition of engineered systems. The challenge lies in designing cost-effective sensing solutions for large components or structures, and the implementation of these solutions is still limited due to economic and technical challenges.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Civil
Elisabetta Farneti, Nicola Cavalagli, Ilaria Venanzi, Walter Salvatore, Filippo Ubertini
Summary: This paper proposes an innovative approach that combines InSAR displacement information with numerical modeling to predict the time to failure of bridges affected by slow deformation phenomena. The methodology involves advanced pre and post-processing techniques for satellite SAR acquisitions and numerical modeling to simulate damage propagation and structural behavior.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Mechanical
Elisa Tomassini, Enrique Garcia-Macias, Edwin Reynders, Filippo Ubertini
Summary: This study proposes a model-based machine learning approach to analyze the results of operational modal analysis (OMA) for multi-span bridges. By analyzing the analytical solution of the vertical free vibration response of multi-span girders, this method can estimate the modal features of any bridge configuration. Detailed parametric analysis and discussions are conducted to evaluate the correlation between rotational coupling and the clustering of modal poles in multi-span bridges, as well as the influence of damage severity and extension. Based on this, a model-based cut-off distance threshold for hierarchical clustering of stable poles is proposed to assist the automation of global OMA for multi-span bridges.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Civil
Arianna Lupattelli, Alban Kita, Diana Salciarini, Ilaria Venanzi, Filippo Ubertini
Summary: The seismic safety of hydroelectric power plants in earthquake-prone regions is a major concern. This paper focuses on the seismic performance assessment of a critical component, the surge tank, using complex models and different assumptions. The study evaluates the influence of two main modeling assumptions: considering or neglecting soil-structure interaction phenomena and considering or ignoring the vertical component of ground motion.
Proceedings Paper
Engineering, Aerospace
Andrea Meoni, Enrique Garcia-Macias, Ilaria Venanzi, Filippo Ubertini
Summary: Non-Destructive Evaluation (NDE) methods provide detailed information on the structural performance of bridges and viaducts, which is essential for risk assessment procedures. This paper introduces a new method that prioritizes NDE bridge inspections based on both risk and cost evaluations. By using the information gain criterion and incorporating GIS and spatial interpolation methods, the method enables the creation of informative risk maps and inspection plans.
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2023
(2023)
Proceedings Paper
Engineering, Aerospace
Valentina Giglioni, Ilaria Venanzi, Filippo Ubertini
Summary: The increasing number of bridge collapses has sparked interest in developing monitoring strategies for real-time damage assessment and structural integrity preservation. Recent advancements in sensor technology and computer science have led to the use of Machine Learning algorithms in vibration-based Structural Health Monitoring. This methodology combines Domain Adaptation with supervised learning methods to assign damage labels to statistically-aligned features. Natural frequencies obtained during healthy and abnormal conditions are selected as damage-sensitive quantities, providing information on global structural dynamics. The proposed technique aims to effectively identify and classify different types of damage cases, serving as an engineering decision-support tool for capturing damage-induced variations.
SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2023
(2023)
Article
Architecture
Anastasios Drougkas, Vasilis Sarhosis, Alice Macente, Muhammed Basheer, Antonella D'Alessandro, Filippo Ubertini
Summary: This study conducted mechanical and physical testing on a natural hydraulic lime-based mortar modified using carbon microfibres, aiming to evaluate its mechanical advantages as a repointing mortar for masonry structures compared to its unmodified counterpart. The results showed that the modified mortar exhibited enhanced mechanical strength and improved durability.
INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE
(2023)
Proceedings Paper
Engineering, Civil
Elisabetta Farneti, Nicola Cavalagli, Mario Costantini, Francesco Trillo, Federico Minati, Ilaria Venanzi, Walter Salvatore, Filippo Ubertini
Summary: This work investigates the potential application of Synthetic Aperture Radar Interferometry (InSAR) in bridge monitoring, presenting a post-processing methodology to derive displacement configurations and define error bounds. The case study of the Albiano-Magra Bridge in Italy reveals anomalies in displacements prior to collapse, providing insights into the possible cause.
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 2
(2023)
Proceedings Paper
Engineering, Civil
Valentina Giglioni, Ilaria Venanzi, Alina Elena Baia, Valentina Poggioni, Alfredo Milani, Filippo Ubertini
Summary: Structural health monitoring is an important and challenging issue in modern society. To enhance bridge assessment and damage detection, researchers have applied machine learning algorithms and proposed a convolutional autoencoder-based damage detection technique.
EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING (EWSHM 2022), VOL 2
(2023)
