This study presents a novel mass-in-mass metamaterial configuration in which the conventional internal resonator is replaced by a beam. To induce an impacting response, rigid stoppers are introduced on either side of the beam, firmly connected to the primary mass. A time-domain solver is developed based on the linear complementarity problem (LCP) formulation and Euler’s discretization to...
Ensuring the structural integrity of bridges is vital for infrastructure safety and long-term sustainability. Indirect Structural Health Monitoring (ISHM), particularly through drive-by bridge inspection, has emerged as a promising and cost-effective alternative to conventional monitoring approaches. By leveraging sensors mounted on moving vehicles, ISHM enables the condition assessment of...
Recent years have witnessed the increasing deployment of construction robots in construction sites. To improve the collaboration efficiency between workers and construction robots, as well as to reduce the occurrence of accidents, 3D-based detailed perception methods have become more essential, especially for human body part detection. In this regard, this study proposes a LiDAR-based deep...
The classic technologies for quality control and monitoring of agricultural products and bio-tests, namely, liquid chromatography (HPLC), magnetic resonance imaging (MRI), etc. are large and costly instruments that can be used on a laboratory scale, not being eligible to be used in the field or in the product processing facilities (olive mills etc.). Although they are needed for calibration...
Wind-induced vibrations pose significant risks to the safety and serviceability of long-span bridges. However, the rarity of extreme wind events and sensor failures during such events often result in sparse monitoring datasets, impeding the reliability of predictive models. This study introduces SMOGN-LSTM, a novel predictive framework that integrates statistical data augmentation and deep...
Prediction of dynamic behavior of multi-story timber buildings offers opportunities to reduce field measurements, extend structural lifespan by preventing cumulative damage, and enhance safety through real-time performance monitoring. While some environmental parameters such as moisture content (MC), relative humidity (RH), and temperature exhibit significant impacts on dynamic behavior of...
Composite materials are increasingly utilized in manufacturing of cryogenic hydrogen storage tanks due to their high strength-to-weight ratios, making them attractive for lightweight and efficient energy storage solutions. However, ensuring the long-term integrity of these tanks is crucial for safe and reliable hydrogen storage and transportation. Hydrogen storage tanks are subjected to...
The hazards of overloaded vehicles are extremely severe, causing significant losses to the nation and its people. The weigh-in-motion (WIM) system, as an essential technology for monitoring vehicle loads, is recognized as an effective solution for identifying overloaded vehicles. However, the vast amounts of data accumulated by current WIM systems merely preserve and record conventional...
Conventional bridge deterioration prediction models do not account for the spatial relationships between structural components and damage locations. Since deterioration is a spatially distributed phenomenon, incorporating positional relationships can lead to more accurate predictions.
In previous research, the authors developed a Markov chain-based deterioration prediction model incorporating...
Elastic modulus of cementitious composites is an important parameter in the design and performance of concrete structures. Its precise estimation remains a challenge due to variable composition of cement pastes. Micromechanical models, based on Eshelby theory provide an effective alternative to predict the same for different types of binders and different watercement ratios. They utilize the...
This study investigates the propagation of an acoustic wave in a thin circular cylindrical shell, which is infinite in extent. The strain displacement relation of the structure is modelled through the Sanders-Koiter thin shell theory. A compressible fluid inside the shell is taken into account. An approximate form of the velocity potential of the fluid is extracted through the Helmholtz...
The accurate and cost-effective acquisition of rut surface morphology data is regarded as crucial for rapid and high-frequency inspections for the road network-level. However, RGB-D sensors utilizing infrared structured light are affected by natural light interference, resulting in low precision despite cost advantages. Moreover, evaluating sampling points based on road cross-sections makes it...
Hydrogen storage remains a challenge in the hydrogen economy due to its light weight and density. Metal alloys, particularly titanium-iron (TiFe), have emerged as a viable option for hydrogen storage at ambient conditions. TiFe is known for its ability to reversibly store hydrogen at room temperatures, with comparable volumetric capacities as that of liquid H2 (~100 kgH2 m-3)1. However, its...
During an impact, a load interacts with a structure during the time interval td. Depending on the impact characteristics and the load rise time, tr, the amplification of the load can be found as a function of the parameters: td/t and tr/T where T is the eigenfrequency of the structure. The paper will investigate different impact characteristics and summarize the amplification due to impact...
This study explores macro-fibrillated cellulose (MFC)-reinforced Polylactic Acid (PLA) composites for 4D printing via Fused Deposition Modeling (FDM), focusing on enhancing mechanical, thermal, and shape-memory properties. By blending PLA with MFC (0–5%), specimens were processed via freeze-drying, ball milling, and extrusion, then evaluated through mechanical, thermal, and shape-memory...
Breast cancer is one of the most common diseases affecting women around the world, with millions of new cases each year and a high rate of mortality. Although advances in detection and treatment have led to better outcomes for many, some regions still struggle with limited access to early diagnosis. Detecting breast cancer earlier is essential because it greatly increases the chances of...
Cracking in cementitious materials is a common challenge in structural engineering, requiring effective repair methods to restore integrity and prolong service life. While epoxy resin injection is widely used for this purpose, evaluating the quality and durability of these repairs remains a key issue. Traditional assessment methods, such as visual inspections or destructive testing, provide...
The efficiency and sophistication of maintenance are expected to improve through the use of 3D models that organize damage conditions and locations. For bridges, research has focused on using 3D models constructed with technologies like SfM/MVS, though challenges such as high data collection costs and time requirements persist. This study proposes a methodology for automating 3D model...
Digital functional models can provide rich 3-D geometric information of structures, such as building information model (BIM) and finite element model (FEM). They are extensively applied for as-built completion acceptance, robotic path planning, structural health monitoring, finite element computation, and other fields. However, for existing digital model reconstruction, how to high-resolution...
Modern reality capture techniques, such as ultra-high-resolution(UHR) panoramic imaging, can digitally document tunnel surface conditions in detail. However, assessing severe structural damage in aging tunnels still depends on manual inspections—an inefficient and subjective approach. This gap between advanced data collection and practical risk assessment limits effective tunnel maintenance....
The proposed restoration concept applicable to the pavement of the Central Market of Siena, Italy, starts from the theoretical research of restoration concepts as well as the particular historical witness on some elements of aesthetic importance and visual identity of the considered pavement. These have led to decisions to treat the surfaces by analyzing several pre-sustainable restoration...
Laser-based Directed Energy Deposition (DED-LB) is an additive manufacturing method that has been heavily researched in recent years due to its potential in (1) producing complex parts, (2) prototyping metallic components, (3) cladding and surface treatment, and (4) manufacturing/repairing components in logistically weak locations. The focus of this study is on the microstructural evolution...
Abstract. Temperature fluctuations in cold climates can significantly distort the dynamic characteristics of bridges, leading to misinterpretations in structural health monitoring (SHM) systems. This study proposes a novel unsupervised learning framework designed to robustly mitigate the influence of freezing temperatures on bridge eigenfrequencies, thereby enhancing the reliability of...
Breast cancer remains one of the leading causes of mortality among women, making early detection and accurate diagnosis essential. Magnetic resonance imaging (MRI) plays a key role in this, offering detailed insights into tumor characteristics. However, manual tumor segmentation is labor-intensive and prone to variability, prompting the exploration of automated deep learning techniques. These...
Waterjet cutting is an industrial technique that uses high-pressure water jets to cut various materials, including metals, concrete, wood, ceramics, stone, rubber, foams, and plastics. To enhance performance in terms of speed and cutting accuracy, abrasive agents like red Garnet sand are mixed with the water, creating the Abrasive Water Jet (AWJ) method. However, this method has environmental...
Moving from water desolation south of Dubai to tiger sharks in The Bahamas, from industrial solar parks in Spain to rainforest in Costa Rica. This session will focus on how high-performance computing, simulation, AI, and visualization drive disruptive change for the planet we all have in common. How we can give real value to nature with digital twins in action. Erik Josefsson, the CEO of...
Primary progressive aphasia (PPA) is a neurodegenerative disorder primarily characterized by a gradual decline in language abilities. There are three main types of PPA: the non-fluent variant (nfvPPA), the semantic variant (svPPA), and the logopenic variant (lvPPA). Although functional MRI (fMRI) is widely regarded as the best diagnostic tool, it is costly and often requires months to deliver...
MRFs (Magneto-rheological fluids) are special fluids made up of magnetic particles contained in a base fluid that have intelligent characteristics. With the exception of when a magnetic field is applied, these fluids behave like non-Newtonian fluids. Strong particle chains created by the magnetic field obstruct fluid movement. A modified version of foam extend is used to model the impact of...
The joint applications of images and point clouds are underdeveloped in the realm of infrastructure operation and maintenance (O&M), limiting their potential for mutual reinforcement towards each other. In this study, a novel approach of image and point cloud data fusion for crack detection and location registration is proposed. High-quality images and point clouds are efficiently obtained...
Abstract: With the acceleration of urbanization, the safety and reliability of water supply pipeline systems are becoming more and more important. Pipeline leakage not only leads to the waste of water resources, but also may cause a series of problems such as ground collapse and environmental pollution. The purpose of this paper is to explore the multiple leakage signal detection method of...
Critical structural components such as the blades, parts of the mooring systems and the tower of Floating Offshore Wind Turbines (FOWTs) suffer from high loadings during normal operation. The monitoring of the components’ structural health is vital as the malfunction of these components may completely stop the FOWT operation and demand their costly transfer on land for repair. The floating...
Starting from the hypothesis “less is more” this research proposes an auto-mated sewer damage detection method employing automated data filtering to reduce the quantity and maximize the utility of existing datasets. The study utilizes the Sewer-ML dataset and proposes data optimisation strategy that reduces the data to high-quality/relevance data by applying CLIP-IQA (Contrastive...
The use of autonomous vehicles is a widely adopted practice to enhancing productivity in the agricultural sector. Various platforms have been developed by multiple research groups, employing diverse methodologies for implementing the mechanical design and the autonomous navigation and interaction systems with the environment. Projects focused on assessing the characteristics of the crops...
Nature-based solutions are increasingly recognized as essential tools in the fight against coastal erosion and the impacts of climate change. Living breakwaters and bio-integrated coastal structures represent a significant advancement in this area, offering a sustainable and ecologically friendly alternative to traditional breakwaters. These innovative systems combine the primary function of...
Extreme events such as natural hazards and cyber-attacks pose a significant threat to critical infrastructure in many parts of the world that directly affect people's lives. The protection of the built environment is a vital and complex issue facing structural engineers. With the increased interest in smart cities, there is a need for an intelligent built environment. This research talk will...
Digital design, intelligent manufacturing systems, and integrating modular construction and advanced materials drive innovation in structural engineering, addressing global material consumption challenges and fostering a sustainable future. This research continues developing the recently proposed lightweight hybrid lattice-filled profile (HLFP) concept for modular engineering. The HLFP...
An autonomous boat with electric propulsion using a direct-current motors as prime movers and waterjet propulsors is investigated. Dynamical modeling capable to adequately describe the seakeeping of the craft in various conditions is employed to fuse fundamental principles and data sets obtained from an experimental campaign. A standard nonlinear state-space model is formulated to use as...
DGN: A DWT-Guided Frequency-Spatial Dual-Domain Dehazing Network for Sewer Inspection Images
Keywords: Discrete Wavelet Transform; dehazing; Sewer systems;
Abstract
Introduction. While spatial domain dehazing methods demonstrate effectiveness in removing concentrated haze, their limited capacity for holistic image restoration prompts exploration of frequency domain...
The increasing demand for sustainable and green hydrogen production requires efficient technologies for direct seawater electrolysis. The direct seawater electrolysis allows for a real and ideal re-definition of green hydrogen production, since seawater is a by-definition renewable hydrogen source. In this paper, efficient hydrogen production is demonstrated with reduced energy demands, due to...
Long-term dynamic monitoring of bridge structures is essential for ensuring their safety and serviceability under varying environmental and operational conditions, particularly under seasonal temperature fluctuations. However, distinguishing true structural anomalies from such variability remains a ma-jor challenge. This paper proposes a novel unsupervised learning frame-work, termed...
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that significantly impairs cognitive functions such as memory, language, and problem-solving, profoundly impacting individuals and their families. Language change is among the earliest indicators of cognitive decline, offering a valuable pathway for early diagnosis.
While linguistic markers of AD have been extensively...
Mental illness is becoming more and more commonplace in today's environment, affecting a growing number of people. Functional Magnetic Resonance Image (fMRI) is the most effective technique for preventing and detecting mental disease [2]. Specialists can quickly diagnose patients by using fMRI analysis to detect changes in the brain [3]. fMRI data processing helps map neural activity...
The integration of emerging technologies, such as Virtual Reality (VR), Artificial Intelligence (AI), and the Internet of Medical Things (IoMT), is driving a significant transformation in personalized healthcare. This article explores the use of the metaverse as an innovative tool to enhance personalized medicine through the creation of digital twins in residential and hospital settings. These...
Hydrogen Embrittlement (HE), a subset of Environment-Assisted Cracking, has been recognized as a predominant failure mechanism in high-strength steels (HSS), leading to substantial socio-economic losses globally each year. High-strength steels exhibit greater susceptibility to HE compared to low-carbon steels. The initiation and propagation of HE deterioration result from the synergistic...
- Introduction/Background
- Problem and Objective of the study
- Methodology
- Results
- Conclusion/Implications
Photosensitivity is a neurological disorder where the brain produces abnormal epileptic reactions to visual stimuli known as Photoparoxysmal Responses (PPR), which can sometimes result in epilepsy seizures. Diagnosing this condition uses Intermittent Photic Stimulation (IPS), which involves exposing the patient to flashing lights -firstly, at increasing frequencies and, secondly, at decreasing...
Strengthening of reinforced concrete (RC) structures is crucial for extending service life and enhancing structural performance. Fiber-reinforced polymers (FRP) have been widely adopted for this purpose, especially for the shear and flexural strengthening of RC beams. In practice, flexural strengthening is often accompanied by the need of shear strengthening to ensure that damage is...
Smartphone sensing technology offers a new next-generation system for structural health monitoring (SHM) of civil structures. Among smartphone built-in sensors, the tri-axial MEMS accelerometer is an appropriate and affordable choice for vibration monitoring with successful applications to real-world large-scale structures such as bridges and high-rise buildings. However, the implementation of...
Abstract: Wind turbine high-speed bearings play a critical role in ensuring operational reliability and efficiency, making accurate remaining useful life (RUL) prediction essential for predictive maintenance. Several remaining useful life prediction algorithms have been discussed by many researchers, but there is a lack of degradation trend extraction based on deep learning algorithms....
Extended Reality for tunnel Inspection using BIM
Authors: Nicola Rimella1, Pang-jo Chun2
1Politecnico di Torino, Department of Building, Structural and Geotechnical Engineering (DISEG), Turin, Italy
2 University of Tokyo, Department of Civil Engineering, Tokyo, Japan
Abstract:
The growing challenges posed by aging infrastructure demand innovative digital solutions to ensure...
The increasing reliability of Computational Fluid Dynamics (CFD) simulations has established them as essential tools for aerodynamic analysis and wind-resistant design in many engineering fields. Simultaneous advancements in exascale computing have facilitated the development of large-scale models producing massive datasets. While offering significant advantages, storing and processing these...
Polymer-based composite materials are widely used in various industries, such as
automotive, aerospace, construction, and marine industries. Composite joining using the
adhesive joining method is an increasing concern in various industries worldwide. The main
problems of natural fiber-based polymer matrix composites are their lower mechanical
properties than other materials. In other...
Introduction Hip fractures, especially those caused by age-related pathological disease, are severe conditions, associated with severe quality of life reduction and high mortality rates. The growing incidence rate of such conditions greatly concerns national health systems, due to high surgical costs and prolonged hospitalization. Basicervical femoral neck fractures, a relatively rare type of...
Bullheading is the process of pumping gas bubble downwards in a well. Since gas tends to migrate upwards on its own, a certain critical liquid rate is required to be able to move the gas downwards. The bullheading procedure is used for killing production wells and it is also a backup well kill solution if a gas influx is taken during drilling of new wells. It is also used in a special drilling...
The energy transition is not about energy, it is about energy storage. All primary and ubiquitous sources of green energy are intermittent, and they involve electricity. Therefore, we need storage for supply security and conversion to also serve energy-hungry mobile applications (read: heavy transport). Hydrogen is a prime candidate solution, but we need a 'giant step for mankind' in...
A dynamical model is proposed regarding the forces developed on a bluff body, typically a cylinder, placed in a constant uniform incompressible fluid flow. The model concerns two-degree-of-freedom forced motion experiments under high in-line motion amplitudes and it combines experimental data analysis, neural networks and parametric modeling approaches. High in-line motion amplitudes,...
Many researchers focus on developing faster and more cost-effective non-destructive testing (NDT) methods while improving the accuracy of estimating concrete mechanical properties, particularly compressive strength. NDT is often preferred due to its non-invasive nature, despite destructive testing (DT) providing more precise results. However, DT is typically limited by the invasive nature of...
The cement industry is increasingly focused on reducing CO₂ emissions associated with concrete-based construction. Supplementary cementitious materials (SCMs) play a significant role in this context, with extensive investigations aimed at maximising their utilisation without compromising, and ideally enhancing, the strength and durability. However, measuring autogenous and drying shrinkage is...
The integration of critical logistics components—ports, customs clearance, digitalization, artificial intelligence (AI), and the European Product Passport (EPP)—is essential to enhancing logistics performance while addressing sustainability challenges within a circular economy framework. This extended abstract examines how these interconnected elements can improve efficiency, transparency, and...
Steel furnace slag (SFS) is a by-product/waste of the steel manufacturing process, primarily composed of non-metallic oxides and silicates formed during the molten steel refining. Electric arc furnace (EAF) steel slag represents one of the several types of steel furnace slags, namely a non-metallic material, mainly consisting of oxides and silicates and also other components that can be...
This research explores an agentic approach to analyzing software team performance through a combined quantitative and qualitative framework. Building on the Time-Delta Method for measuring software development contribution rates, this study introduces intelligent agentic mechanisms to identify critical areas of team performance requiring deeper analysis. Quantitative metrics will be evaluated...
The rapid development of artificial intelligence has brought transformative opportunities to the field of structural health monitoring (SHM) for civil infrastructure. Recent advancements in vision-language models (VLMs) and large language models (LLMs) have demonstrated remarkable capabilities across various tasks, including image classification, object detection, semantic segmentation,...
Environmental and operational variability, particularly freezing weather, can significantly influence the dynamic characteristics of bridge structures, complicating the identification of true structural anomalies. In this study, we propose an innovative anomaly detection framework, termed DSVDD-PKD, which integrates Deep Support Vector Data Description (DSVDD) with Polynomial Kernel Distance...
Conventional deep-learning-based structural damage recognition using images usually requires well-designed network structures for various damage categories and complicated procedures of hyperparameter tuning and retraining. Recently, pre-trained large foundation models in unimodal of vision and multimodal of vision-language have been established to perceive fundamental knowledge of large-scale...
With the rising requirements of lowering global CO2 emissions, cement production, which accounts for nearly 8% of global CO2 emissions is a key target for reduction. One of a most effective method of reducing emissions is to reduce use. This leads to the encouragement of finding alternative less environmentally damaging cementitious materials to reduce reliance on emission-producing cement....
Variability in environmental and operational conditions significantly affects the structural responses of bridges, making accurate assessment of these influences essential for effective structural health monitoring (SHM). In many cases, it is impractical or impossible to capture all relevant environmental and operational variables, limiting the effectiveness of standard supervised approaches...
This research investigates the intricate relationship between engine parameters and emissions performance in marine four-stroke diesel engines. The primary objective was to optimize the air-fuel mixture flow and combustion process in a Perkins 404D-22 engine, aiming to enhance overall performance and significantly reduce harmful emissions.
Two types of simulations were conducted: base-speed...
The unmanned platforms offer substantial cost savings, increased operational flexibility, and enhanced safety measures, making them an attractive option for offshore industry. However, the maintenance of unmanned platform is planned to be based on fixed time intervals, e.g. 6 to 12 months, which brings a challenge to ensure the availability with such long maintenance intervals. This study aims...
Many critical industrial systems, especially offshore assets, e.g. floating wind turbines, have a system of series equipment that is configured with short-term redundancy (implicit parallel configuration). In fact, such configuration is very common in many industrial applications, wherever a pump or compressor feeding a buoyancy tank; if the pump fails, the tank can alone keep the entire...
Accurate semantic segmentation of bridge point cloud data (PCD) is crucial for automated inspection, damage detection, and structural condition assessment of bridge infrastructure. However, existing methods often struggle to effectively capture the inherent structural relationships and spatial characteristics of bridge components. This paper presents a novel position encoding approach...
Quick and relatively accurate computer vision solutions can be built by using machine learning. Even then, the solutions are often imperfect and depend a lot on the quality of the datasets they are trained on since the final model can replicate problems found in the datasets as results. We propose a solution for correcting model results and dataset annotations using a recursive model known as...
Up to now, our residual stress and strain reference materials to develop steel health monitoring are autogenously welded steel samples introducing tensile and compressive residual stresses in the fusion zone and the heat affected zones, despite issues like phase transformations and repeatability process. However, both phase transformation and sample repeatability are important and enlarge the...
This study presents a robust and comprehensive comparison between two methodologies for evaluating the orientation and spatial distribution of steel fibers in fiber-reinforced concrete (FRC): computed tomography (CT) and the inductive method (IM). Both techniques were applied to cylindrical cores extracted from large-scale structural elements, enabling a direct comparison of their results.
CT...
Recent attention has been drawn to damping-based damage detection techniques due to their superior sensitivity in portraying even small damage. Most studies utilizing damping as a damage indicator rely on the traditional viscous damping model, assuming a constant damping mechanism. However, damage-induced damping demonstrates nonlinear characteristics, where the location of damage notably...
The future of prosthetics and assistive technologies, particularly exoprostheses and exoskeletons, lies in the seamless integration of these devices into the human nervous system. Through this integration, patients should be able to directly and intuitively control these "foreign" objects, allowing for a degree of independence and function similar to that of normal limb movement. Our...
Temperature-induced variability poses significant challenges to the performance of MEMS sensors, leading to changes in sensor sensitivity and zero-point drift caused by the thermal expansion or contraction of materials. These effects directly compromise the accuracy and reliability of measurements. This study numerically investigates the impacts of temperature variability on two types of MEMS...
In Industry 4.0, smart systems like Artificial Neural Networks could significantly enhance the condition monitoring methodologies to ensure the reliable and safe operation of the system. Transverse breathing cracks are considered a serious fault in rotor-bearing systems that could affect operation efficiency. This paper presents an ANN-based approach to estimate crack depth, crack location,...
The growing number of non-biodegradable waste materials presents a significant environmental issue, especially when considering synthetic polymers such as expanded polystyrene (EPS) and extruded polystyrene (XPS) being among the most enduring pollutants. These materials are widely used in packaging and construction, yet their disposal remains a challenge as they build up in landfills and...
Bridges are complex structural systems that can undergo significant changes of their structural conditions over time. Due to dynamic loads, they are particularly vulnerable to fatigue, which can lead to losses of financial resources and human lives. Traditionally, rainflow diagrams based on strain time histories have been used to assess fatigue, relying on direct strain measurements. However,...
Corrosion induced metal loss is the primary cause for the failure and destruction of steel structures. Traditional methods such as corrosion coupon method and electrochemical methods are difficult to realize online monitoring of corrosion. In this paper, the piezoelectric impedance intelligent sensing method and monitoring technology for the corrosion monitoring of steel structures were...
The applicability of synergistic Artificial Intelligence (AI) and Digital Twin (DT) technologies for a comprehensive bridge inspection framework depends on the completeness of the available data of the structure. Incomplete or missing data of the structures are often observed, which hinders the processes for effective inspection and maintenance. In this study, a methodology using Large...
Predictive Method for Track Quality Index Based on Multi-Scale Causal Convolutional Neural Networks
Xiaolin Li 1, Yuanjie Tang 2*,Yong Zhuang 1, liFen Yuan 2
1School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
2Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing,...
This paper presents results of a site-specific seismic hazard study for a wind farm in South Iceland. The site was characterized using ambient vibration tests, resonant column and down-hole testing. The stratigraphy consists of sand with embedded lava layers, which is commonly found in Iceland due to the extensive volcanism. The effect of local geology on expected ground motion is included by...
The harsh and dynamic marine environment poses significant challenges for offshore wind turbine (OWT) operations, particularly in estimating fatigue loads driven by coupled wind and wave interactions, especially when it comes to estimating and predicting fatigue loads caused by wind and wave interactions. In order to enable accurate coupling of environmental stresses, this work presents a...
The building and construction industry is one of the largest consumers of resources and a significant contributor to waste, energy consumption and greenhouse gas (GHG) emissions. Half of all steel production is used in construction, accounting for about 15% of GHG emissions (ca.) from the industry. Steel is also the primary material used in ships. Norway, with the world’s fifth largest fleet,...
There are numerous fMRI studies showing privilege roles of parietal brain in numerical processing. However there are few studies on relationships between temporal dynamics of the parietal brain and performance of the numerical processing. In this study taking advantages of high temporal resolution of EEG, both linear and nonlinear characteristics of the parietal brain during performing an...
Identification of structural damage in civil structures is essential for ensuring safety and minimizing economic losses. Traditional methods for identifying damaged areas within the realm of structural health monitoring (SHM) often require complex numerical models and extensive sensor networks, which are costly and challenging to implement. This study introduces innovative applications of...
The co-location of aquaculture with offshore wind farms is seen as a promising strategy for the expansion of both industries. Their co-location can offer several advantages, such as optimizing marine spatial use and offering the possibility of shared infrastructure. However, it also presents several challenges, including regulatory hurdles, permitting delays, and conflicting operational...
Planar or thin-walled elements of structural concrete are ubiquitous within the civil infrastructure. Common examples include shear walls and floor slabs in building construction. The analyses of such structural elements for out-of-plane loading is challenging, due to the concomitant needs for capturing the distribution of damage in the plane and through the thin wall dimension....
Abstract. The rapid advancement of industry 4.0 technologies has catalyzed the integration of smart digital twins into technical safety assessment and asset integrity assurance processes. These intelligent systems, powered by machine learning, IoT, and real-time analytics, offer unparalleled potential to enhance decision-making and reduce human cognitive fatigue. This paper presents a...
The hydrogen economy is advancing yet confronts significant challenges, particularly in hydrogen transportation via pipelines. With its extensive gas transmission network connected to the European Union, Ukraine presents a unique opportunity for hydrogen transportation. In this study, the challenges for repurposing existing natural gas pipelines in Ukraine for hydrogen transportation are...
Premature bolt failure on onshore wind turbine towers is a major issue and hamper field operation safety. This article examines the structural integrity of 32CrB4 steel M56 high strength grade 10.9 flange connection bolts that are applied on wind turbine towers. Characteristics like mechanical properties, chemistry and microstructure have been comprehensively analysed.
A range of mechanical...
This paper presents an investigation into the structural performance of cross-laminated timber–concrete composite slabs with two different types of shear fasteners, using both theoretical predictions and laboratory testing through four-point bending experiments.
The type of shear fasteners is of high importance in structural design of a Timber-Concrete Composite (TCC) structure. The shear...
A Water Distribution Network (WDN), including tanks, centrifugal pumps, valves, pipes, water level sensors, flow and pressure sensors, will be studied by expressing the actuators and the sensors by Discrete Event System (DES) models in the Ramadge-Wonham framework. DES models of the actuators and sensors, in the presence of faults will be developed. The desired behavior of the system, in the...
Reliability and availability analysis is crucial at the project phase to assess if the desired requirements will be met and to determine if a new configuration, such as adding redundancy, is required. Reliability and availability analysis can be done at system, equipment and component levels. Asset managers are often conflicted about whether availability analysis should be conducted at the...
Abstract
Material Extrusion (ME), also known as 3D printing, is a widely used additive manufacturing (AM) technique that, among others, employs thermoplastic materials in filaments deposited in a layer-by-layer manner. This study focuses on polylactic acid (PLA) because of its wide use in engineering applications. Although ME provides design flexibility and rapid prototyping, its use in...
Τhe problem of designing chlorine soft sensors, via safe switching observers, for primary water distribution networks (PWDNs) is investigated. The model of a PWDN, describing simultaneously fluid transfer through the pipe network and dispersion/decay of chlorine in the pipes, is described as a distributed parameter system governed by appropriate partial differential equations (PDEs). The model...
Recent advancements in Transformer-based deep learning have opened new avenues for precise and robust defect detection in critical transportation infrastructure components, such as tunnels, rails, and pavements. This paper unifies three related investigations on Transformer-driven detection frameworks. First, by enhancing Swin Transformer for tunnel lining crack inspection, crack features were...
Environmental variability poses a persistent challenge in the structural health monitoring (SHM) of bridges, often masking or mimicking genuine structural anomalies. This study introduces a novel unsupervised anomaly detection framework that robustly adapts to such variability through a fusion of advanced clustering and generative learning. The proposed methodology integrates three key stages:...
Ensuring the safety and integrity of bridge structures requires effective damage detection methods, which should be capable of handling real-world uncertainties in monitoring data. In particular, modal frequency data obtained from vibration-based monitoring are often affected by irregularities and outliers that can compromise the reliability of damage detection. This study presents a novel...
In recent decades, climate change and aging infrastructure have posed new challenges for Civil Engineering. In the domain of hydraulic infrastructures, there is a growing need to plan life-cycle management from the earliest design stages to optimize maintenance and prevent failures. The digitization of infrastructures, enabled by the development of Building Information Modelling (BIM),...
Wind induced fatigue damage affects most slender structures such as flare booms and bridges in offshore environment. Even though a structure never experience wind loading over the ultimate limit, vibrations can cause fatigue-induced failure of structural details. A widely used approach in the offshore industry for calculating fatigue induced damage on complex structures is the use of FEM...
