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Comparative analysis of different guidelines for risk classification, safety assessment and monitoring of existing bridges in Italy: A16 viaducts case-studies

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Procedia Structural Integrity 2024年 62卷 113-120页

作者： Elena Elettore Gianmaria Maresca Massimo Latour Gianvittorio Rizzano Alessandra De Angelis Ciro Del Vecchio Giuseppe Maddaloni Paola Lorusso Fabio Rizzo Maria Francesca Sabba Dora Foti Department of Civil Engineering University of Salerno Fisciano Italy Department of Engineering University of Sannio Benevento Italy Department of Architecture Construction and Design Polytechnic University of Bari Bari Italy

Bridges are vital components of any existing infrastructure, enabling essential links for transportation and commerce. In Italy, a nation renowned for its historical bridges, the importance of proper risk classification, safety assessment and monitoring of existing structures is of paramount importance. Risk classification involves categorizing bridges into different classes based on their potential risks and deterioration levels. The fundamental purpose of risk classification is consistent across guidelines: to prioritize bridge inspections and maintenance efforts based on risk levels. Once bridges are classified according to risk, safety assessments and continuous monitoring are performed to evaluate their structural integrity and overall long-term safety. The methodologies for safety assessment can differ significantly among guidelines, highlighting the influence of regional factors, such as construction materials, design practices, and environmental conditions. However, the common goal is to ensure the safe operation of existing bridges by identifying deficiencies and prescribing necessary interventions. Monitoring techniques can range from visual inspections to advanced sensor networks and non-destructive testing methods. In Italy various guidelines and standards have been developed to address these concerns, to ensure the safety and longevity of its bridges. The actual guidelines inspections for existing bridges include those by the Italian Ministry of Infrastructure and Transport (MIT), which plays a central role in setting the national guidelines and regulations for bridge safety in Italy. MIT is responsible for overseeing the safety and maintenance of publicly-owned bridges in Italy, providing a comprehensive framework for risk classification, considering factors such traffic loads, material degradation and level of defectiveness. On the other hand, other manual exist, such those provided by Autostrade per l’Italia S.p.A. (ASPI), a private company responsib

关键词： Existing bridges Comparative analysis Italian guidelines Monitoring Inspections A16 viaducts

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Influence of Dynamic Properties Variability of Elastomeric Bearings on the Seismic Response of Base-Isolated Structures 18th

Influence of Dynamic Properties Variability of Elastomeric B...

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18th World Conference on Seismic Isolation, Energy Dissipation, and Active Vibration Control of Structures, WCSI 2023

作者： Ragni, Laura Micozzi, Fabio Gioiella, Laura Quaglini, Virgilio Dall’Asta, Andrea Department of Civil and Building Engineering and Architecture Polytechnic University of Marche AN Ancona Italy School of Architecture and Design University of Camerino AP Camerino Ascoli Piceno Italy Dipartimento di Architettura Ingegneria delle Costruzioni e Ambiente Costruito Politecnico di Milano Milano Italy

ISBN: (纸本)9783031668876

The response of bae-isolated structures is affected by the variability of dynamic properties of isolation bearings due to environmental effects, such as the temperature and ageing, and/or behavioral effects. For elastomeric bearings made by High Damping Rubber (HDR), the main behavioral effects are the strain amplitude and the strain rate dependence of the shear response and the load history dependence. They can be all included in advanced numerical models, alternatively current seismic codes allow to adopt less accurate models in combination with property modification factors (also called λ-factors) defined for both behavioral and environmental effects. These factors should be experimentally assessed during the qualification process of bearings but, in some cases such as in the European context, the product standard on anti-seismic devices (EN 15129) allows the manufacturers to deduce these variabilities from tests performed on material specimens. In this paper a statistical analysis is carried out on a large set of material tests carried out according to EN 15129 on low and high damping rubber compounds provided from different suppliers. Based on the results, new λ-factors for stiffness and damping are proposed and compared with those deduced from the "λ-factors" suggested in the informative annexes of EN 15129 and EC8-part 2. In the last part of the paper some preliminary considerations are made on the influence of such variability on the vulnerability assessment of base-isolation structures. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Strain rate

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Optimization of Neural Networks using Swarm Intelligence Techniques for Achieving Energy Efficiency in Smart Building architecture 1

Optimization of Neural Networks using Swarm Intelligence Tec...

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1st IEEE International Conference on Cognitive Robotics and Intelligent Systems, ICC - ROBINS 2024

作者： Raja, M. Karthick Shermatova, Makhbuba Al Ansari, Mohammed Saleh Abdufattokhov, Shokhjakhon Rao, Vuda Sreenivasa Raj, I. Infant Sri Eshwar College of Engineering Department of Computer Science and Engineering Coimbatore India Turin Polytechnic University in Tashkent Civil Engineering and Architecture Department Tashkent Uzbekistan University of Bahrain College of Engineering Department of Chemical Engineering Bahrain Turin Polytechnic University Automatic Control and Computer Engineering Dept Italy Tashkent Intl. University of Education Dept of Information Technologies Tashkent Uzbekistan Koneru Lakshmaiah Education Fou. Green Fields Department of Computer Science and Engineering A.P Vaddeswaram522302 India K. Ramakrishnan College of Engineering Department of Computer Science and Engineering Tamil Nadu Trichy621 112 India

ISBN: (纸本)9798350372748

The increasing prevalence of smart building architectures, driven by the integration of Internet of Things (IoT) devices and automation systems, has led to a surge in energy consumption. This research explores the application of swarm intelligence techniques as an innovative approach to optimize neural networks, aiming to strike a balance between maintaining the desired performance levels and minimizing energy consumption. The study investigates the integration of swarm-based optimization algorithms, such as Particle Swarm Optimization (PSO) into the training and operation of neural networks. These algorithms enable the networks to dynamically adapt and optimize their parameters in response to changing environmental conditions and user requirements. The research focuses on developing a comprehensive framework that considers the specific challenges posed by smart building architectures, including real-time data processing, sensor integration, and adaptive control. The proposed approach aims to achieve optimal neural network configurations that minimize energy consumption while ensuring reliable and responsive operation of smart building systems. The results demonstrate the potential of swarm intelligence to significantly improve the energy efficiency of neural network-enabled smart building architectures, providing a promising avenue for sustainable and intelligent infrastructure. The proposed model has an accuracy of 98.23% which is 7.64% higher than that of the traditional approaches. © 2024 IEEE.

关键词： Energy efficiency

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Convolutional Neural Networks Using Scalograms for Stress Recognition in Drivers

Convolutional Neural Networks Using Scalograms for Stress Re...

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European Signal Processing Conference (EUSIPCO)

作者： Pamela Zontone Antonio Affanni Alessandro Piras Roberto Rinaldo Polytechnic Department of Engineering and Architecture University of Udine Udine Italy

In this paper we present a system which allows the detection of stress in drivers by analyzing a two-dimensional representation of their electrodermal activity Skin Potential Response (SPR) signal, and their electrocardiogram signal. Signals were logged during a simulated drive, in an experiment carried out in a company using a professional car driving simulator. Subjects had to overcome some stress-inducing events located at specific positions during the drive. The acquired SPR and heart rate signals are analyzed with scalogram plots, in order to obtain a time-frequency representation of the signals. The 2D scalogram representation is segmented into images, associated to short time segments, which are classified using a Convolutional Neural Network architecture. We show that the use of scalograms can allow the system to perform well in distinguishing among stress and non-stress situations, achieving a 91.78% accuracy. The same system was tested on real driving data available from a public dataset, achieving a 99.24% accuracy.

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Assessment of the Effect of architecture Morphology on Building Energy Demands Using BIM, Example of Kabul City Residential Buildings 7th

Assessment of the Effect of Architecture Morphology on Build...

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7th International Conference on architecture, Materials and Construction, ICAMC 2021

作者： Ayoobi, Ahmad Walid Inceoğlu, Mehmet Çolak, Oğuz Department of Architecture Graduate School of Sciences Eskisehir Technical University Eskisehir Turkey Department of Architecture Faculty of Construction Kabul Polytechnic University Kabul Afghanistan Department of Architecture Faculty of Architecture and Design Eskisehir Technical University Eskisehir Turkey Department of Mechanical Engineering Engineering Faculty Eskisehir Technical University Eskisehir Turkey

ISBN: (纸本)9783030945138

architecture morphology as a wide concept encompasses all aspect of building design like form, shape, windows, etc., and all these constituents have a vital role in building energy demands. Considering the rapid growth of urbanization and human activities, ecosystem is faced with destruction. Buildings as the most resource consumer take the first position in ecosystem demolition. Buildings morphological analysis is one of the methods to assess buildings energy demands and to provide the opportunity to select the most favorable morphology. This study aims to assess architecture morphology on residential building energy efficiency using BEM in Kabul city. In this study, we made an effort to review most of the energy efficiency analysis associated with the literature. Consequently Revit architecture 2018 for 3D modeling and Green Building Studio GBS as the whole building energy simulation engine that estimates the building energy performance based on the effects and interactions of building form, materials, systems, usage, and climate were utilized. Kabul city was selected as the case study of this work. The findings of this study show that old or courtyard houses are characterized by the most energy-efficient morphology compared to the three main types of building morphology located in Kabul city. The buildings morphology has a significant impact on building energy demand and, the comparison of three buildings morphology in Kabul city confirmed that the building morphology could decrease energy demand up to 44%. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy efficiency

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CFD simulation of anti-fogging coatings performance in refrigerated display cabinets

CFD simulation of anti-fogging coatings performance in refri...

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2020 Italian Union of Thermo-Fluid Dynamics Seminar on Heat Transfer, UIT-HTS 2020

作者： D'Agaro, P. Croce, G. Suzzi, N. Polytechnic Department of Engineering and Architecture University of Udine Italy

A numerical procedure for the simulation of both fogging and the defogging process on the glass door of a vertical refrigeration display cabinet for chilled food is presented. The large scale problem within the cabinet (convective air flow and heat transfer, moisture mass transport, unsteady conduction through a multi-glazed door) is modelled via a commercial CFD code, whereas the water layer is modelled, via in-house user defined routines, as a collection of tiny droplets in order to take into account the surface wetting properties, the latent heat contributions and the area effective wet fraction. Local water layer equivalent thickness and time needed for the complete defogging are evaluated for different indoor conditions. The influence of anti-fog coatings is investigated comparing different droplets contact angle, from 30 to 90 . © Published under licence by IOP Publishing Ltd.

关键词： Drops

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Application of Supervised Learning Techniques for Sports and Daily Activities Identification Using Accelerometer Data

Application of Supervised Learning Techniques for Sports and...

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Sport, Technology and Research (STAR), IEEE International Workshop on

作者： Pamela Zontone Antonio Affanni Davide Pin Roberto Rinaldo Polytechnic Department of Engineering and Architecture University of Udine Udine Italy

Human Activity Recognition (HAR) is a research area that is receiving increasing attention in recent years. In this paper we propose the application of different supervised learning algorithms to recognize distinct human activities. In particular, we use a dataset that includes inertial measurements recorded from sensors placed in various positions on the subjects' body, while performing sports and daily activities. Considering possible real-life applications of the system, we analyze only the acceleration signal coming from a single and low-complexity sensor placed on the torso of the subjects. We derive different statistical features from the three axial accelerations. These features are the input of Machine Learning algorithms with the purpose of recognizing the particular activity carried out by the subjects. The unprocessed acceleration signals are instead sent to Deep Learning algorithms, giving us the opportunity to compare the performance of the classifiers. In the end, we achieve accuracy values of 73.3% and 86.6% in classifying 19 types of different human activities, using a Random Forest (RF) classifier and a 1D Convolutional Neural Network (CNN) network, respectively.

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Wearable Sensor for Boxer Performance Improvement

Wearable Sensor for Boxer Performance Improvement

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Sport, Technology and Research (STAR), IEEE International Workshop on

作者： Antonio Affanni Roberto Rinaldo Pamela Zontone Polytechnic Department of Engineering and Architecture University of Udine Udine Italy

Measuring punch force is crucial for assessing the performance and progress of boxers during training and matches. In this paper, we present a novel wearable sensor designed specifically to measure punch force in boxers. The sensor is a unique example of a measuring wearable device that can be easily integrated into commercial boxing gloves, making it suitable for both training and matches. The module is lightweight, compact, and fits into commercial gloves without compromising comfort or mobility. Moreover, the sensor incorporates wireless communication capabilities, enabling real-time monitoring of punch force data on a companion mobile application or a dedicated display unit, facilitating immediate feedback and analysis. We conducted tests with four amateur boxers, and we chose the boxers trying to cover a wide range of standard categories. The results demonstrate that the sensor reliably measures punch force across different boxing techniques such as straights and hooks, with accuracy in the order of 6 % of full scale. The presented wearable sensor represents a significant advancement in wearable sensor technology for boxing; its integration into commercial gloves allows for seamless adoption by boxers of all skill levels, enhancing training efficiency and promoting better performance during matches.

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SEISMIC RESPONSE OF HISTORICAL MASONRY CHURCHES: THE CASE OF THE BANAT ROMANIAN REGION 9

SEISMIC RESPONSE OF HISTORICAL MASONRY CHURCHES: THE CASE OF...

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9th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake engineering, COMPDYN 2023

作者： Lo Monaco, A. Grillanda, N. Onescu, I. Fofiu, M. Clementi, F. D'Amato, M. Formisano, A. Milani, G. Mosoarca, M. University of Basilicata Via Lanera 20 Matera75100 Italy Department of Civil and Structural Engineering University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom Department of Architecture Faculty of Architecture and Town Planning Polytechnic University of Timisoara Piaa Victoriei 2 Timisoara300223 Romania Polytechnic University of Marche Via Brecce Bianche 12 Ancona60131 Italy Department of Structures for Engineering and Architecture School of Polytechnic and Basic Sciences University of Naples "Federico II" Piazzale Tecchio 80 Naples80125 Italy Polytechnic University of Milan Piazza Leonardo da Vinci 32 Milan20133 Italy

The seismic events of the recent decades allowed us to comprehend the vulnerabilities of the historical built heritage and the fundamental role of prevention and safeguard strategies. This led us to study the seismic performances of historical constructions in Europe. This on-going research focuses on the built heritage in Romania, with particular attention to six typical masonry churches located in the Banat region, whose structural configuration is characterized by a long vaulted central nave and a bell tower included into the main façade. We firstly compare the seismic vulnerability of the six churches and estimate an intervention priorities scale through simplified risk assessment methods. Then, we present a more detailed vulnerability investigation focused on one of the churches, by means of global finite element modal linear analyses and assessment of local failures through adaptive limit analysis. © 2023 COMPDYN Proceedings. All rights reserved

关键词： Religious buildings

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Planning optimal minimum-jerk trajectories for redundant robots

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Robotics and Autonomous Systems 2025年 192卷

作者： Lozer, Federico Scalera, Lorenzo Boscariol, Paolo Gasparetto, Alessandro Polytechnic Department of Engineering and Architecture University of Udine Udine33100 Italy Department of Management and Engineering University of Padova Vicenza36100 Italy

In this paper, a minimum-jerk trajectory planning approach for redundant manipulators is presented. The proposed approach leverages not only the optimization of the time intervals between each of the way points of the assigned path, but also the optimal positions of a selected robot joint to reduce the jerk of the robot end-effector. This multi-stage optimization strategy is validated through extensive numerical simulations and experimental tests on a robot with seven degrees of freedom performing a pick-and-place motion. The results of the tests, supported by accelerometer measurements of the vibrations of the robot end-effector, prove the performance of the proposed approach in reducing both the acceleration and the jerk levels of the redundant manipulator in comparison with a state-of-the-art trajectory planning technique. © 2025 The Authors

关键词： Grippers

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